Extracting important information from Chinese Operation Notes with natural language processing methods.

PubMed

Wang, Hui; Zhang, Weide; Zeng, Qiang; Li, Zuofeng; Feng, Kaiyan; Liu, Lei

2014-04-01

Extracting information from unstructured clinical narratives is valuable for many clinical applications. Although natural Language Processing (NLP) methods have been profoundly studied in electronic medical records (EMR), few studies have explored NLP in extracting information from Chinese clinical narratives. In this study, we report the development and evaluation of extracting tumor-related information from operation notes of hepatic carcinomas which were written in Chinese. Using 86 operation notes manually annotated by physicians as the training set, we explored both rule-based and supervised machine-learning approaches. Evaluating on unseen 29 operation notes, our best approach yielded 69.6% in precision, 58.3% in recall and 63.5% F-score. Copyright © 2014 Elsevier Inc. All rights reserved.

Ophthalmology patients' interest in online access to clinic notes at three US clinics.

PubMed

Lee, Bryan S; Oster, Natalia V; Chen, Galen Y; Ding, Leona L; Walker, Janice D; Elmore, Joann G

2017-07-01

This study aimed to understand patients' perceptions about potential benefits and harms of accessing their own ophthalmology clinic notes via an electronic patient portal as part of the OpenNotes initiative. The authors conducted a cross-sectional, in-person survey of ophthalmology patients at three US eye clinics. The paper survey was self-administered or administered with assistance from study staff before or after patients' clinical visits. The authors used descriptive statistics to summarise patient characteristics and patient attitudes about accessing their ophthalmology notes online. Chi-square and t-tests were performed to assess differences in patient responses between clinic locations. Four hundred and fifty-one patients responded (response rate 65%). Most patients thought that accessing doctors' notes online was a good idea (95%), wanted to view their clinic notes online (94%), and agreed online access would increase their understanding of their eye problems (95%) and help them better remember their care plan (94%); 14% said online access would increase their worry; 43% had privacy concerns; and 96% indicated they would show or discuss their notes with at least one other person. Non-white patients were more likely than white patients to perceive online clinic notes as a useful tool, but they were also more likely to worry and to express greater privacy concerns. Patients at three US eye clinics were strongly in favour of online access to ophthalmology notes and were optimistic this access would improve their understanding and self-care. Ophthalmologists should consider offering online access to their notes to enhance doctor-patient communication and improve clinical outcomes. © 2017 The Authors Ophthalmic & Physiological Optics © 2017 The College of Optometrists.

Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records.

PubMed

Jonnagaddala, Jitendra; Liaw, Siaw-Teng; Ray, Pradeep; Kumar, Manish; Dai, Hong-Jie; Hsu, Chien-Yeh

2015-01-01

Heart disease is the leading cause of death worldwide. Therefore, assessing the risk of its occurrence is a crucial step in predicting serious cardiac events. Identifying heart disease risk factors and tracking their progression is a preliminary step in heart disease risk assessment. A large number of studies have reported the use of risk factor data collected prospectively. Electronic health record systems are a great resource of the required risk factor data. Unfortunately, most of the valuable information on risk factor data is buried in the form of unstructured clinical notes in electronic health records. In this study, we present an information extraction system to extract related information on heart disease risk factors from unstructured clinical notes using a hybrid approach. The hybrid approach employs both machine learning and rule-based clinical text mining techniques. The developed system achieved an overall microaveraged F-score of 0.8302.

Usability Evaluation of Electronic Health Record System around Clinical Notes Usage-An Ethnographic Study.

PubMed

Rizvi, Rubina F; Marquard, Jenna L; Hultman, Gretchen M; Adam, Terrence J; Harder, Kathleen A; Melton, Genevieve B

2017-10-01

Background A substantial gap exists between current Electronic Health Record (EHR) usability and potential optimal usability. One of the fundamental reasons for this discrepancy is poor incorporation of a User-Centered Design (UCD) approach during the Graphical User Interface (GUI) development process. Objective To evaluate usability strengths and weaknesses of two widely implemented EHR GUIs for critical clinical notes usage tasks. Methods Twelve Internal Medicine resident physicians interacting with one of the two EHR systems (System-1 at Location-A and System-2 at Location-B) were observed by two usability evaluators employing an ethnographic approach. User comments and observer findings were analyzed for two critical tasks: (1) clinical notes entry and (2) related information-seeking tasks. Data were analyzed from two standpoints: (1) usability references categorized by usability evaluators as positive, negative, or equivocal and (2) usability impact of each feature measured through a 7-point severity rating scale. Findings were also validated by user responses to a post observation questionnaire. Results For clinical notes entry, System-1 surpassed System-2 with more positive (26% vs. 12%) than negative (12% vs. 34%) usability references. Greatest impact features on EHR usability (severity score pertaining to each feature) for clinical notes entry were: autopopulation (6), screen options (5.5), communication (5), copy pasting (4.5), error prevention (4.5), edit ability (4), and dictation and transcription (3.5). Both systems performed equally well on information-seeking tasks and features with greatest impacts on EHR usability were navigation for notes (7) and others (e.g., looking for ancillary data; 5.5). Ethnographic observations were supported by follow-up questionnaire responses. Conclusion This study provides usability-specific insights to inform future, improved, EHR interface that is better aligned with UCD approach.

Taming Big Data: An Information Extraction Strategy for Large Clinical Text Corpora.

PubMed

Gundlapalli, Adi V; Divita, Guy; Carter, Marjorie E; Redd, Andrew; Samore, Matthew H; Gupta, Kalpana; Trautner, Barbara

2015-01-01

Concepts of interest for clinical and research purposes are not uniformly distributed in clinical text available in electronic medical records. The purpose of our study was to identify filtering techniques to select 'high yield' documents for increased efficacy and throughput. Using two large corpora of clinical text, we demonstrate the identification of 'high yield' document sets in two unrelated domains: homelessness and indwelling urinary catheters. For homelessness, the high yield set includes homeless program and social work notes. For urinary catheters, concepts were more prevalent in notes from hospitalized patients; nursing notes accounted for a majority of the high yield set. This filtering will enable customization and refining of information extraction pipelines to facilitate extraction of relevant concepts for clinical decision support and other uses.

Using language models to identify relevant new information in inpatient clinical notes.

PubMed

Zhang, Rui; Pakhomov, Serguei V; Lee, Janet T; Melton, Genevieve B

2014-01-01

Redundant information in clinical notes within electronic health record (EHR) systems is ubiquitous and may negatively impact the use of these notes by clinicians, and, potentially, the efficiency of patient care delivery. Automated methods to identify redundant versus relevant new information may provide a valuable tool for clinicians to better synthesize patient information and navigate to clinically important details. In this study, we investigated the use of language models for identification of new information in inpatient notes, and evaluated our methods using expert-derived reference standards. The best method achieved precision of 0.743, recall of 0.832 and F1-measure of 0.784. The average proportion of redundant information was similar between inpatient and outpatient progress notes (76.6% (SD=17.3%) and 76.7% (SD=14.0%), respectively). Advanced practice providers tended to have higher rates of redundancy in their notes compared to physicians. Future investigation includes the addition of semantic components and visualization of new information.

Using Language Models to Identify Relevant New Information in Inpatient Clinical Notes

PubMed Central

Zhang, Rui; Pakhomov, Serguei V.; Lee, Janet T.; Melton, Genevieve B.

2014-01-01

Redundant information in clinical notes within electronic health record (EHR) systems is ubiquitous and may negatively impact the use of these notes by clinicians, and, potentially, the efficiency of patient care delivery. Automated methods to identify redundant versus relevant new information may provide a valuable tool for clinicians to better synthesize patient information and navigate to clinically important details. In this study, we investigated the use of language models for identification of new information in inpatient notes, and evaluated our methods using expert-derived reference standards. The best method achieved precision of 0.743, recall of 0.832 and F1-measure of 0.784. The average proportion of redundant information was similar between inpatient and outpatient progress notes (76.6% (SD=17.3%) and 76.7% (SD=14.0%), respectively). Advanced practice providers tended to have higher rates of redundancy in their notes compared to physicians. Future investigation includes the addition of semantic components and visualization of new information. PMID:25954438

Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.

PubMed

Carter, Marjorie E; Divita, Guy; Redd, Andrew; Rubin, Michael A; Samore, Matthew H; Gupta, Kalpana; Trautner, Barbara W; Gundlapalli, Adi V

2016-01-01

Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary catheters from electronic medical notes to aid in detection of catheter-associated urinary tract infections (CAUTI). Finding clear evidence that a patient does not have an indwelling urinary catheter is useful in making a determination regarding CAUTI. We developed a lexicon of seven core concepts to infer the absence of a urinary catheter. Of the 990,391 concepts extractedby NLP from a large corpus of 744,285 electronic medical notes from 5589 hospitalized patients, 63,516 were labeled as evidence of absence.Human review revealed three primary causes for false negatives. The lexicon and NLP pipeline were refined using this information, resulting in outputs with an acceptable false positive rate of 11%.

Using Natural Language Processing to Improve Efficiency of Manual Chart Abstraction in Research: The Case of Breast Cancer Recurrence

PubMed Central

Carrell, David S.; Halgrim, Scott; Tran, Diem-Thy; Buist, Diana S. M.; Chubak, Jessica; Chapman, Wendy W.; Savova, Guergana

2014-01-01

The increasing availability of electronic health records (EHRs) creates opportunities for automated extraction of information from clinical text. We hypothesized that natural language processing (NLP) could substantially reduce the burden of manual abstraction in studies examining outcomes, like cancer recurrence, that are documented in unstructured clinical text, such as progress notes, radiology reports, and pathology reports. We developed an NLP-based system using open-source software to process electronic clinical notes from 1995 to 2012 for women with early-stage incident breast cancers to identify whether and when recurrences were diagnosed. We developed and evaluated the system using clinical notes from 1,472 patients receiving EHR-documented care in an integrated health care system in the Pacific Northwest. A separate study provided the patient-level reference standard for recurrence status and date. The NLP-based system correctly identified 92% of recurrences and estimated diagnosis dates within 30 days for 88% of these. Specificity was 96%. The NLP-based system overlooked 5 of 65 recurrences, 4 because electronic documents were unavailable. The NLP-based system identified 5 other recurrences incorrectly classified as nonrecurrent in the reference standard. If used in similar cohorts, NLP could reduce by 90% the number of EHR charts abstracted to identify confirmed breast cancer recurrence cases at a rate comparable to traditional abstraction. PMID:24488511

Use of an electronic problem list by primary care providers and specialists.

PubMed

Wright, Adam; Feblowitz, Joshua; Maloney, Francine L; Henkin, Stanislav; Bates, David W

2012-08-01

Accurate patient problem lists are valuable tools for improving the quality of care, enabling clinical decision support, and facilitating research and quality measurement. However, problem lists are frequently inaccurate and out-of-date and use varies widely across providers. Our goal was to assess provider use of an electronic problem list and identify differences in usage between medical specialties. Chart review of a random sample of 100,000 patients who had received care in the past two years at a Boston-based academic medical center. Counts were collected of all notes and problems added for each patient from 1/1/2002 to 4/30/2010. For each entry, the recording provider and the clinic in which the entry was recorded was collected. We used the Healthcare Provider Taxonomy Code Set to categorize each clinic by specialty. We analyzed the problem list use across specialties, controlling for note volume as a proxy for visits. A total of 2,264,051 notes and 158,105 problems were recorded in the electronic medical record for this population during the study period. Primary care providers added 82.3% of all problems, despite writing only 40.4% of all notes. Of all patients, 49.1% had an assigned primary care provider (PCP) affiliated with the hospital; patients with a PCP had an average of 4.7 documented problems compared to 1.5 problems for patients without a PCP. Primary care providers were responsible for the majority of problem documentation; surgical and medical specialists and subspecialists recorded a disproportionately small number of problems on the problem list.

A Qualitative Analysis Evaluating The Purposes And Practices Of Clinical Documentation

PubMed Central

Ho, Y.-X.; Gadd, C. S.; Kohorst, K.L.; Rosenbloom, S.T.

2014-01-01

Summary Objectives An important challenge for biomedical informatics researchers is determining the best approach for healthcare providers to use when generating clinical notes in settings where electronic health record (EHR) systems are used. The goal of this qualitative study was to explore healthcare providers’ and administrators’ perceptions about the purpose of clinical documentation and their own documentation practices. Methods We conducted seven focus groups with a total of 46 subjects composed of healthcare providers and administrators to collect knowledge, perceptions and beliefs about documentation from those who generate and review notes, respectively. Data were analyzed using inductive analysis to probe and classify impressions collected from focus group subjects. Results We observed that both healthcare providers and administrators believe that documentation serves five primary domains: clinical, administrative, legal, research, education. These purposes are tied closely to the nature of the clinical note as a document shared by multiple stakeholders, which can be a source of tension for all parties who must use the note. Most providers reported using a combination of methods to complete their notes in a timely fashion without compromising patient care. While all administrators reported relying on computer-based documentation tools to review notes, they expressed a desire for a more efficient method of extracting relevant data. Conclusions Although clinical documentation has utility, and is valued highly by its users, the development and successful adoption of a clinical documentation tool largely depends on its ability to be smoothly integrated into the provider’s busy workflow, while allowing the provider to generate a note that communicates effectively and efficiently with multiple stakeholders. PMID:24734130

Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.

PubMed

Divita, Guy; Brignone, Emily; Carter, Marjorie E; Suo, Ying; Blais, Rebecca K; Samore, Matthew H; Fargo, Jamison D; Gundlapalli, Adi V

2017-01-01

Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face adverse health-related outcomes. This paper describes a method for identifying mentions of sexual trauma within the free text of electronic medical notes. A natural language processing pipeline for information extraction was developed and scaled to handle a large corpus of electronic medical notes used for this study from US Veterans Health Administration medical facilities. The tool was used to identify sexual trauma mentions and create snippets around every asserted mention based on a domain-specific lexicon developed for this purpose. All snippets were evaluated by trained human reviewers. An overall positive predictive value (PPV) of 0.90 for identifying sexual trauma mentions from the free text and a PPV of 0.71 at the patient level are reported. The metrics are superior for records from female patients.

Advanced Development and Dissemination of EMERSE for Cancer Phenotyping from Medical Records | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

The increasing use of electronic health records (EHRs) by cancer centers nationwide has led to the tremendous growth of repositories containing unstructured, free text notes. These notes include clinical concepts that cannot be found anywhere else in the EHR, and these concepts are needed to characterize a patient’s specific ‘phenotype’.

A Picture is Worth 1,000 Words. The Use of Clinical Images in Electronic Medical Records.

PubMed

Ai, Angela C; Maloney, Francine L; Hickman, Thu-Trang; Wilcox, Allison R; Ramelson, Harley; Wright, Adam

2017-07-12

To understand how clinicians utilize image uploading tools in a home grown electronic health records (EHR) system. A content analysis of patient notes containing non-radiological images from the EHR was conducted. Images from 4,000 random notes from July 1, 2009 - June 30, 2010 were reviewed and manually coded. Codes were assigned to four properties of the image: (1) image type, (2) role of image uploader (e.g. MD, NP, PA, RN), (3) practice type (e.g. internal medicine, dermatology, ophthalmology), and (4) image subject. 3,815 images from image-containing notes stored in the EHR were reviewed and manually coded. Of those images, 32.8% were clinical and 66.2% were non-clinical. The most common types of the clinical images were photographs (38.0%), diagrams (19.1%), and scanned documents (14.4%). MDs uploaded 67.9% of clinical images, followed by RNs with 10.2%, and genetic counselors with 6.8%. Dermatology (34.9%), ophthalmology (16.1%), and general surgery (10.8%) uploaded the most clinical images. The content of clinical images referencing body parts varied, with 49.8% of those images focusing on the head and neck region, 15.3% focusing on the thorax, and 13.8% focusing on the lower extremities. The diversity of image types, content, and uploaders within a home grown EHR system reflected the versatility and importance of the image uploading tool. Understanding how users utilize image uploading tools in a clinical setting highlights important considerations for designing better EHR tools and the importance of interoperability between EHR systems and other health technology.

Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics.

PubMed

McFadden, Norman; Daniel, Bryan; Hoyt, Robert; Snider, Dallas

2017-01-01

The United States has more than 1,000 free medical clinics. Because these clinics do not bill Medicare or Medicaid, they are not eligible for federal reimbursement for electronic health record (EHR) adoption. As a result, most do not have EHRs or electronic disease registries. A web-based diabetes registry was created with all open-source components for use in an urban free clinic to manage patients with type 2 diabetes and comorbidities. The registry was modeled after the Chronic Disease Electronic Management System and recommendations of the American Diabetes Association. The software was enhanced to include multiple other features, such as progress notes, so that it can function as a simple EHR. The configuration permits other free clinics to join securely, and the software can be shared.

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.

PubMed

Forsyth, Alexander W; Barzilay, Regina; Hughes, Kevin S; Lui, Dickson; Lorenz, Karl A; Enzinger, Andrea; Tulsky, James A; Lindvall, Charlotta

2018-06-01

Clinicians document cancer patients' symptoms in free-text format within electronic health record visit notes. Although symptoms are critically important to quality of life and often herald clinical status changes, computational methods to assess the trajectory of symptoms over time are woefully underdeveloped. To create machine learning algorithms capable of extracting patient-reported symptoms from free-text electronic health record notes. The data set included 103,564 sentences obtained from the electronic clinical notes of 2695 breast cancer patients receiving paclitaxel-containing chemotherapy at two academic cancer centers between May 1996 and May 2015. We manually annotated 10,000 sentences and trained a conditional random field model to predict words indicating an active symptom (positive label), absence of a symptom (negative label), or no symptom at all (neutral label). Sentences labeled by human coder were divided into training, validation, and test data sets. Final model performance was determined on 20% test data unused in model development or tuning. The final model achieved precision of 0.82, 0.86, and 0.99 and recall of 0.56, 0.69, and 1.00 for positive, negative, and neutral symptom labels, respectively. The most common positive symptoms were pain, fatigue, and nausea. Machine-based labeling of 103,564 sentences took two minutes. We demonstrate the potential of machine learning to gather, track, and analyze symptoms experienced by cancer patients during chemotherapy. Although our initial model requires further optimization to improve the performance, further model building may yield machine learning methods suitable to be deployed in routine clinical care, quality improvement, and research applications. Copyright © 2018 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Linking electronic health record-extracted psychosocial data in real-time to risk of readmission for heart failure.

PubMed

Watson, Alice J; O'Rourke, Julia; Jethwani, Kamal; Cami, Aurel; Stern, Theodore A; Kvedar, Joseph C; Chueh, Henry C; Zai, Adrian H

2011-01-01

Knowledge of psychosocial characteristics that helps to identify patients at increased risk for readmission for heart failure (HF) may facilitate timely and targeted care. We hypothesized that certain psychosocial characteristics extracted from the electronic health record (EHR) would be associated with an increased risk for hospital readmission within the next 30 days. We identified 15 psychosocial predictors of readmission. Eleven of these were extracted from the EHR (six from structured data sources and five from unstructured clinical notes). We then analyzed their association with the likelihood of hospital readmission within the next 30 days among 729 patients admitted for HF. Finally, we developed a multivariable predictive model to recognize individuals at high risk for readmission. We found five characteristics-dementia, depression, adherence, declining/refusal of services, and missed clinical appointments-that were associated with an increased risk for hospital readmission: the first four features were captured from unstructured clinical notes, while the last item was captured from a structured data source. Unstructured clinical notes contain important knowledge on the relationship between psychosocial risk factors and an increased risk of readmission for HF that would otherwise have been missed if only structured data were considered. Gathering this EHR-based knowledge can be automated, thus enabling timely and targeted care. Copyright © 2011 The Academy of Psychosomatic Medicine. Published by Elsevier Inc. All rights reserved.

Linking electronic health record-extracted psychosocial data in real-time to risk of readmission for heart failure

PubMed Central

Watson, Alice J.; O’Rourke, Julia; Jethwani, Kamal; Cami, Aurel; Stern, Theodore A.; Kvedar, Joseph C.; Chueh, Henry C.; Zai, Adrian H.

2013-01-01

Background Knowledge of psychosocial characteristics that helps to identify patients at increased risk for readmission for heart failure (HF) may facilitate timely and targeted care. Objective We hypothesized that certain psychosocial characteristics extracted from the electronic health record (EHR) would be associated with an increased risk for hospital readmission within the next 30 days. Methods We identified 15 psychosocial predictors of readmission. Eleven of these were extracted from the EHR (six from structured data sources and five from unstructured clinical notes). We then analyzed their association with the likelihood of hospital readmission within the next 30 days among 729 patients admitted for HF. Finally, we developed a multivariable predictive model to recognize individuals at high risk for readmission. Results We found five characteristics—dementia, depression, adherence, declining/refusal of services, and missed clinical appointments—that were associated with an increased risk for hospital readmission: the first four features were captured from unstructured clinical notes, while the last item was captured from a structured data source. Conclusions Unstructured clinical notes contain important knowledge on the relationship between psychosocial risk factors and an increased risk of readmission for HF that would otherwise have been missed if only structured data were considered. Gathering this EHR-based knowledge can be automated, thus enabling timely and targeted care. PMID:21777714

77 FR 32124 - Guidance for Industry on Irritable Bowel Syndrome-Clinical Evaluation of Drugs for Treatment...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-31

... sign or symptom recurrence. The section on trial endpoints was modified to note that a drug can be...] Guidance for Industry on Irritable Bowel Syndrome--Clinical Evaluation of Drugs for Treatment; Availability...: Submit either electronic or written comments on Agency guidances at any time. ADDRESSES: Submit written...

Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics

PubMed Central

McFadden, Norman; Daniel, Bryan; Hoyt, Robert; Snider, Dallas

2017-01-01

The United States has more than 1,000 free medical clinics. Because these clinics do not bill Medicare or Medicaid, they are not eligible for federal reimbursement for electronic health record (EHR) adoption. As a result, most do not have EHRs or electronic disease registries. A web-based diabetes registry was created with all open-source components for use in an urban free clinic to manage patients with type 2 diabetes and comorbidities. The registry was modeled after the Chronic Disease Electronic Management System and recommendations of the American Diabetes Association. The software was enhanced to include multiple other features, such as progress notes, so that it can function as a simple EHR. The configuration permits other free clinics to join securely, and the software can be shared. PMID:28566990

Clinical Note Creation, Binning, and Artificial Intelligence

PubMed Central

Deliberato, Rodrigo Octávio; Stone, David J

2017-01-01

The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans. PMID:28778845

Evaluation of Electronic Health Record Implementation in Ophthalmology at an Academic Medical Center (An American Ophthalmological Society Thesis)

PubMed Central

Chiang, Michael F.; Read-Brown, Sarah; Tu, Daniel C.; Choi, Dongseok; Sanders, David S.; Hwang, Thomas S.; Bailey, Steven; Karr, Daniel J.; Cottle, Elizabeth; Morrison, John C.; Wilson, David J.; Yackel, Thomas R.

2013-01-01

Purpose: To evaluate three measures related to electronic health record (EHR) implementation: clinical volume, time requirements, and nature of clinical documentation. Comparison is made to baseline paper documentation. Methods: An academic ophthalmology department implemented an EHR in 2006. A study population was defined of faculty providers who worked the 5 months before and after implementation. Clinical volumes, as well as time length for each patient encounter, were collected from the EHR reporting system. To directly compare time requirements, two faculty providers who utilized both paper and EHR systems completed time-motion logs to record the number of patients, clinic time, and nonclinic time to complete documentation. Faculty providers and databases were queried to identify patient records containing both paper and EHR notes, from which three cases were identified to illustrate representative documentation differences. Results: Twenty-three faculty providers completed 120,490 clinical encounters during a 3-year study period. Compared to baseline clinical volume from 3 months pre-implementation, the post-implementation volume was 88% in quarter 1, 93% in year 1, 97% in year 2, and 97% in year 3. Among all encounters, 75% were completed within 1.7 days after beginning documentation. The mean total time per patient was 6.8 minutes longer with EHR than paper (P<.01). EHR documentation involved greater reliance on textual interpretation of clinical findings, whereas paper notes used more graphical representations, and EHR notes were longer and included automatically generated text. Conclusion: This EHR implementation was associated with increased documentation time, little or no increase in clinical volume, and changes in the nature of ophthalmic documentation. PMID:24167326

The accuracy and efficiency of electronic screening for recruitment into a clinical trial on COPD.

PubMed

Schmickl, Christopher N; Li, Man; Li, Guangxi; Wetzstein, Marnie M; Herasevich, Vitaly; Gajic, Ognjen; Benzo, Roberto P

2011-10-01

Participant recruitment is an important process in successful conduct of randomized controlled trials. To facilitate enrollment into a National Institutes of Health-sponsored clinical trial involving patients with chronic obstructive pulmonary disease (COPD), we developed and prospectively validated an automated electronic screening tool based on boolean free-text search of admission notes in electronic medical records. During a 2-week validation period, all patients admitted to prespecified general medical services were screened for eligibility by both the electronic screening tool and a COPD nurse. Group discussion was the gold standard for confirmation of true-positive results. Compared with the gold standard, electronic screening yielded 100% sensitivity, 92% specificity, 100% negative predictive value, and 72% positive predictive value. Compared with traditional manual screening, electronic screening demonstrated time-saving potential of 76%. Thus, the electronic screening tool accurately identifies potential study subjects and improves efficiency of patient accrual for a clinical trial on COPD. This method may be expanded into other institutional and clinical settings. Copyright © 2011 Elsevier Ltd. All rights reserved.

Using natural language processing to identify problem usage of prescription opioids.

PubMed

Carrell, David S; Cronkite, David; Palmer, Roy E; Saunders, Kathleen; Gross, David E; Masters, Elizabeth T; Hylan, Timothy R; Von Korff, Michael

2015-12-01

Accurate and scalable surveillance methods are critical to understand widespread problems associated with misuse and abuse of prescription opioids and for implementing effective prevention and control measures. Traditional diagnostic coding incompletely documents problem use. Relevant information for each patient is often obscured in vast amounts of clinical text. We developed and evaluated a method that combines natural language processing (NLP) and computer-assisted manual review of clinical notes to identify evidence of problem opioid use in electronic health records (EHRs). We used the EHR data and text of 22,142 patients receiving chronic opioid therapy (≥70 days' supply of opioids per calendar quarter) during 2006-2012 to develop and evaluate an NLP-based surveillance method and compare it to traditional methods based on International Classification of Disease, Ninth Edition (ICD-9) codes. We developed a 1288-term dictionary for clinician mentions of opioid addiction, abuse, misuse or overuse, and an NLP system to identify these mentions in unstructured text. The system distinguished affirmative mentions from those that were negated or otherwise qualified. We applied this system to 7336,445 electronic chart notes of the 22,142 patients. Trained abstractors using a custom computer-assisted software interface manually reviewed 7751 chart notes (from 3156 patients) selected by the NLP system and classified each note as to whether or not it contained textual evidence of problem opioid use. Traditional diagnostic codes for problem opioid use were found for 2240 (10.1%) patients. NLP-assisted manual review identified an additional 728 (3.1%) patients with evidence of clinically diagnosed problem opioid use in clinical notes. Inter-rater reliability among pairs of abstractors reviewing notes was high, with kappa=0.86 and 97% agreement for one pair, and kappa=0.71 and 88% agreement for another pair. Scalable, semi-automated NLP methods can efficiently and accurately identify evidence of problem opioid use in vast amounts of EHR text. Incorporating such methods into surveillance efforts may increase prevalence estimates by as much as one-third relative to traditional methods. Copyright © 2015. Published by Elsevier Ireland Ltd.

Electronic health record systems in ophthalmology: impact on clinical documentation.

PubMed

Sanders, David S; Lattin, Daniel J; Read-Brown, Sarah; Tu, Daniel C; Wilson, David J; Hwang, Thomas S; Morrison, John C; Yackel, Thomas R; Chiang, Michael F

2013-09-01

To evaluate quantitative and qualitative differences in documentation of the ophthalmic examination between paper and electronic health record (EHR) systems. Comparative case series. One hundred fifty consecutive pairs of matched paper and EHR notes, documented by 3 attending ophthalmologist providers. An academic ophthalmology department implemented an EHR system in 2006. Database queries were performed to identify cases in which the same problems were documented by the same provider on different dates, using paper versus EHR methods. This was done for 50 consecutive pairs of examinations in 3 different diseases: age-related macular degeneration (AMD), glaucoma, and pigmented choroidal lesions (PCLs). Quantitative measures were used to compare completeness of documenting the complete ophthalmologic examination, as well as disease-specific critical findings using paper versus an EHR system. Qualitative differences in paper versus EHR documentation were illustrated by selecting representative paired examples. (1) Documentation score, defined as the number of examination elements recorded for the slit-lamp examination, fundus examination, and complete ophthalmologic examination and for critical clinical findings for each disease. (2) Paired comparison of qualitative differences in paper versus EHR documentation. For all 3 diseases (AMD, glaucoma, PCL), the number of complete examination findings recorded was significantly lower with paper than the EHR system (P ≤ 0.004). Among the 3 individual examination sections (general, slit lamp, fundus) for the 3 diseases, 5 of the 9 possible combinations had significantly lower mean documentation scores with paper than EHR notes. For 2 of the 3 diseases, the number of critical clinical findings recorded was significantly lower using paper versus EHR notes (P ≤ 0.022). All (150/150) paper notes relied on graphical representations using annotated hand-drawn sketches, whereas no (0/150) EHR notes contained drawings. Instead, the EHR systems documented clinical findings using textual descriptions and interpretations. There were quantitative and qualitative differences in the nature of paper versus EHR documentation of ophthalmic findings in this study. The EHR notes included more complete documentation of examination elements using structured textual descriptions and interpretations, whereas paper notes used graphical representations of findings. The author(s) have no proprietary or commercial interest in any materials discussed in this article. Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents.

PubMed

Topaz, M; Seger, D L; Goss, F; Lai, K; Slight, S P; Lau, J J; Nandigam, H; Zhou, L

2016-01-01

Adverse sensitivity (e.g., allergy and intolerance) information is a critical component of any electronic health record system. While several standards exist for structured entry of adverse sensitivity information, many clinicians record this data as free text. This study aimed to 1) identify and compare the existing common adverse sensitivity information models, and 2) to evaluate the coverage of the adverse sensitivity information models for representing allergy information on a subset of inpatient and outpatient adverse sensitivity clinical notes. We compared four common adverse sensitivity information models: Health Level 7 Allergy and Intolerance Domain Analysis Model, HL7-DAM; the Fast Healthcare Interoperability Resources, FHIR; the Consolidated Continuity of Care Document, C-CDA; and OpenEHR, and evaluated their coverage on a corpus of inpatient and outpatient notes (n = 120). We found that allergy specialists' notes had the highest frequency of adverse sensitivity attributes per note, whereas emergency department notes had the fewest attributes. Overall, the models had many similarities in the central attributes which covered between 75% and 95% of adverse sensitivity information contained within the notes. However, representations of some attributes (especially the value-sets) were not well aligned between the models, which is likely to present an obstacle for achieving data interoperability. Also, adverse sensitivity exceptions were not well represented among the information models. Although we found that common adverse sensitivity models cover a significant portion of relevant information in the clinical notes, our results highlight areas needed to be reconciled between the standards for data interoperability.

The effect of electronic health record software design on resident documentation and compliance with evidence-based medicine.

PubMed

Rodriguez Torres, Yasaira; Huang, Jordan; Mihlstin, Melanie; Juzych, Mark S; Kromrei, Heidi; Hwang, Frank S

2017-01-01

This study aimed to determine the role of electronic health record software in resident education by evaluating documentation of 30 elements extracted from the American Academy of Ophthalmology Dry Eye Syndrome Preferred Practice Pattern. The Kresge Eye Institute transitioned to using electronic health record software in June 2013. We evaluated the charts of 331 patients examined in the resident ophthalmology clinic between September 1, 2011, and March 31, 2014, for an initial evaluation for dry eye syndrome. We compared documentation rates for the 30 evidence-based elements between electronic health record chart note templates among the ophthalmology residents. Overall, significant changes in documentation occurred when transitioning to a new version of the electronic health record software with average compliance ranging from 67.4% to 73.6% (p < 0.0005). Electronic Health Record A had high compliance (>90%) in 13 elements while Electronic Health Record B had high compliance (>90%) in 11 elements. The presence of dialog boxes was responsible for significant changes in documentation of adnexa, puncta, proptosis, skin examination, contact lens wear, and smoking exposure. Significant differences in documentation were correlated with electronic health record template design rather than individual resident or residents' year in training. Our results show that electronic health record template design influences documentation across all resident years. Decreased documentation likely results from "mouse click fatigue" as residents had to access multiple dialog boxes to complete documentation. These findings highlight the importance of EHR template design to improve resident documentation and integration of evidence-based medicine into their clinical notes.

Documentation of Gender Identity in an Adolescent and Young Adult Clinic.

PubMed

Vance, Stanley R; Mesheriakova, Veronika V

2017-03-01

To determine if changing electronic health record (EHR) note templates can increase documentation of gender identity in an adolescent and young adult clinic. A two-step gender question was added to EHR note templates for physicals in February 2016. A retrospective chart review was performed 3 months before and after this addition. The primary measure was whether answers to the two-step question were documented. Gender identity/birth-assigned sex discordance, age, and use of the appropriate note template post-template change were also measured. One hundred twenty-five pretemplate change and 106 post-template change physicals were reviewed with an inter-rater reliability of 97%. Documentation of answers to the two-step gender identity question increased from 11% to 84% (p < .001). This study suggests that incorporating a standardized question into EHR note templates is effective at improving the documentation of gender identity in youth presenting for annual physicals. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Mining Peripheral Arterial Disease Cases from Narrative Clinical Notes Using Natural Language Processing

PubMed Central

Afzal, Naveed; Sohn, Sunghwan; Abram, Sara; Scott, Christopher G.; Chaudhry, Rajeev; Liu, Hongfang; Kullo, Iftikhar J.; Arruda-Olson, Adelaide M.

2016-01-01

Objective Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative notes and compared the performance of the NLP algorithm to billing code algorithms, using ankle-brachial index (ABI) test results as the gold standard. Methods We compared the performance of the NLP algorithm to 1) results of gold standard ABI; 2) previously validated algorithms based on relevant ICD-9 diagnostic codes (simple model) and 3) a combination of ICD-9 codes with procedural codes (full model). A dataset of 1,569 PAD patients and controls was randomly divided into training (n= 935) and testing (n= 634) subsets. Results We iteratively refined the NLP algorithm in the training set including narrative note sections, note types and service types, to maximize its accuracy. In the testing dataset, when compared with both simple and full models, the NLP algorithm had better accuracy (NLP: 91.8%, full model: 81.8%, simple model: 83%, P<.001), PPV (NLP: 92.9%, full model: 74.3%, simple model: 79.9%, P<.001), and specificity (NLP: 92.5%, full model: 64.2%, simple model: 75.9%, P<.001). Conclusions A knowledge-driven NLP algorithm for automatic ascertainment of PAD cases from clinical notes had greater accuracy than billing code algorithms. Our findings highlight the potential of NLP tools for rapid and efficient ascertainment of PAD cases from electronic health records to facilitate clinical investigation and eventually improve care by clinical decision support. PMID:28189359

Natural language processing of clinical notes for identification of critical limb ischemia.

PubMed

Afzal, Naveed; Mallipeddi, Vishnu Priya; Sohn, Sunghwan; Liu, Hongfang; Chaudhry, Rajeev; Scott, Christopher G; Kullo, Iftikhar J; Arruda-Olson, Adelaide M

2018-03-01

Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHRs) is challenging due to absence of a single definitive International Classification of Diseases (ICD-9 or ICD-10) code for CLI. In this study, we extend a previously validated natural language processing (NLP) algorithm for PAD identification to develop and validate a subphenotyping NLP algorithm (CLI-NLP) for identification of CLI cases from clinical notes. We compared performance of the CLI-NLP algorithm with CLI-related ICD-9 billing codes. The gold standard for validation was human abstraction of clinical notes from EHRs. Compared to billing codes the CLI-NLP algorithm had higher positive predictive value (PPV) (CLI-NLP 96%, billing codes 67%, p < 0.001), specificity (CLI-NLP 98%, billing codes 74%, p < 0.001) and F1-score (CLI-NLP 90%, billing codes 76%, p < 0.001). The sensitivity of these two methods was similar (CLI-NLP 84%; billing codes 88%; p < 0.12). The CLI-NLP algorithm for identification of CLI from narrative clinical notes in an EHR had excellent PPV and has potential for translation to patient care as it will enable automated identification of CLI cases for quality projects, clinical decision support tools and support a learning healthcare system. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Using voice to create hospital progress notes: Description of a mobile application and supporting system integrated with a commercial electronic health record.

PubMed

Payne, Thomas H; Alonso, W David; Markiel, J Andrew; Lybarger, Kevin; White, Andrew A

2018-01-01

We describe the development and design of a smartphone app-based system to create inpatient progress notes using voice, commercial automatic speech recognition software, with text processing to recognize spoken voice commands and format the note, and integration with a commercial EHR. This new system fits hospital rounding workflow and was used to support a randomized clinical trial testing whether use of voice to create notes improves timeliness of note availability, note quality, and physician satisfaction with the note creation process. The system was used to create 709 notes which were placed in the corresponding patient's EHR record. The median time from pressing the Send button to appearance of the formatted note in the Inbox was 8.8 min. It was generally very reliable, accepted by physician users, and secure. This approach provides an alternative to use of keyboard and templates to create progress notes and may appeal to physicians who prefer voice to typing. Copyright © 2017 Elsevier Inc. All rights reserved.

Impact of computer-assisted data collection, evaluation and management on the cancer genetic counselor's time providing patient care.

PubMed

Cohen, Stephanie A; McIlvried, Dawn E

2011-06-01

Cancer genetic counseling sessions traditionally encompass collecting medical and family history information, evaluating that information for the likelihood of a genetic predisposition for a hereditary cancer syndrome, conveying that information to the patient, offering genetic testing when appropriate, obtaining consent and subsequently documenting the encounter with a clinic note and pedigree. Software programs exist to collect family and medical history information electronically, intending to improve efficiency and simplicity of collecting, managing and storing this data. This study compares the genetic counselor's time spent in cancer genetic counseling tasks in a traditional model and one using computer-assisted data collection, which is then used to generate a pedigree, risk assessment and consult note. Genetic counselor time spent collecting family and medical history and providing face-to-face counseling for a new patient session decreased from an average of 85-69 min when using the computer-assisted data collection. However, there was no statistically significant change in overall genetic counselor time on all aspects of the genetic counseling process, due to an increased amount of time spent generating an electronic pedigree and consult note. Improvements in the computer program's technical design would potentially minimize data manipulation. Certain aspects of this program, such as electronic collection of family history and risk assessment, appear effective in improving cancer genetic counseling efficiency while others, such as generating an electronic pedigree and consult note, do not.

Implementing Single Source: The STARBRITE Proof-of-Concept Study

PubMed Central

Kush, Rebecca; Alschuler, Liora; Ruggeri, Roberto; Cassells, Sally; Gupta, Nitin; Bain, Landen; Claise, Karen; Shah, Monica; Nahm, Meredith

2007-01-01

Objective Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow. Design We developed and used a point-of-care electronic data capture system to record data during patient visits. The standards-based system was used for clinical research and to generate the clinic note for the medical record. The system worked in parallel with data collection procedures already in place for an ongoing multicenter clinical trial. Our system was iteratively designed after analyzing case report forms and clinic notes, and observing clinic workflow patterns and business procedures. Existing data standards from CDISC and HL7 were used for database insertion and clinical document exchange. Results Our system was successfully integrated into the clinic environment and used in two live test cases without disrupting existing workflow. Analyses performed during system design yielded detailed information on practical issues affecting implementation of systems that automatically extract, store, and reuse healthcare data. Conclusion Although subject to the limitations of a small feasibility study, our study demonstrates that electronic patient data can be reused for prospective multicenter clinical research and patient care, and demonstrates a need for further development of therapeutic area standards that can facilitate researcher use of healthcare data. PMID:17600107

A Focus Group Exploration of Automated Case-Finders to Identify High-Risk Heart Failure Patients Within an Urban Safety Net Hospital.

PubMed

Patterson, Mark E; Miranda, Derick; Schuman, Greg; Eaton, Christopher; Smith, Andrew; Silver, Brad

2016-01-01

Leveraging "big data" as a means of informing cost-effective care holds potential in triaging high-risk heart failure (HF) patients for interventions within hospitals seeking to reduce 30-day readmissions. Explore provider's beliefs and perceptions about using an electronic health record (EHR)-based tool that uses unstructured clinical notes to risk-stratify high-risk heart failure patients. Six providers from an inpatient HF clinic within an urban safety net hospital were recruited to participate in a semistructured focus group. A facilitator led a discussion on the feasibility and value of using an EHR tool driven by unstructured clinical notes to help identify high-risk patients. Data collected from transcripts were analyzed using a thematic analysis that facilitated drawing conclusions clustered around categories and themes. From six categories emerged two themes: (1) challenges of finding valid and accurate results, and (2) strategies used to overcome these challenges. Although employing a tool that uses electronic medical record (EMR) unstructured text as the benchmark by which to identify high-risk patients is efficient, choosing appropriate benchmark groups could be challenging given the multiple causes of readmission. Strategies to mitigate these challenges include establishing clear selection criteria to guide benchmark group composition, and quality outcome goals for the hospital. Prior to implementing into practice an innovative EMR-based case-finder driven by unstructured clinical notes, providers are advised to do the following: (1) define patient quality outcome goals, (2) establish criteria by which to guide benchmark selection, and (3) verify the tool's validity and reliability. Achieving consensus on these issues would be necessary for this innovative EHR-based tool to effectively improve clinical decision-making and in turn, decrease readmissions for high-risk patients.

Cross-mapping clinical notes between hospitals: an application of the LOINC Document Ontology.

PubMed

Li, Li; Morrey, C Paul; Baorto, David

2011-01-01

Standardization of document titles is essential for management as the volume of electronic clinical notes increases. The two campuses of the New York Presbyterian Hospital have over 2,700 distinct document titles. The LOINC Document Ontology (DO) provides a standard for the naming of clinical documents in a multi-axis structure. We have represented the latest LOINC DO structure in the MED, and developed an automated process mapping the clinical documents from both the West (Columbia) and East (Cornell) campuses to the LOINC DO. We find that the LOINC DO can represent the majority of our documents, and about half of the documents map between campuses using the LOINC DO as a reference. We evaluated the possibility of using current LOINC codes in document exchange between different institutions. While there is clear success in the ability of the LOINC DO to represent documents and facilitate exchange we find there are granularity issues.

Data for free--can an electronic medical record provide outcome data for incontinence/prolapse repair procedures?

PubMed

Steidl, Matthew; Zimmern, Philippe

2013-01-01

We determined whether a custom computer program can improve the extraction and accuracy of key outcome measures from progress notes in an electronic medical record compared to a traditional data recording system for incontinence and prolapse repair procedures. Following institutional review board approval, progress notes were exported from the Epic electronic medical record system for outcome measure extraction by a custom computer program. The extracted data (D1) were compared against a manually maintained outcome measures database (D2). This work took place in 2 phases. During the first phase, volatile data such as questionnaires and standardized physical examination findings using the POP-Q (pelvic organ prolapse quantification) system were extracted from existing progress notes. The second phase used a progress note template incorporating key outcome measures to evaluate improvement in data accuracy and extraction rates. Phase 1 compared 6,625 individual outcome measures from 316 patients in D2 to 3,534 outcome measures extracted from progress notes in D1, resulting in an extraction rate of 53.3%. A subset of 3,763 outcome measures from D1 was created by excluding data that did not exist in the extraction, yielding an accuracy rate of 93.9%. With the use of the template in phase 2, the extraction rate improved to 91.9% (273 of 297) and the accuracy rate improved to 100% (273 of 273). In the field of incontinence and prolapse, the disciplined use of an electronic medical record template containing a preestablished set of key outcome measures can provide the ideal interface between required documentation and clinical research. Copyright © 2013 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.

PubMed

Topaz, Maxim; Lai, Kenneth; Dowding, Dawn; Lei, Victor J; Zisberg, Anna; Bowles, Kathryn H; Zhou, Li

2016-12-01

Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information they need at the point of care. This study developed and validated one of the first automated natural language processing applications to extract wound information (wound type, pressure ulcer stage, wound size, anatomic location, and wound treatment) from free text clinical notes. First, two human annotators manually reviewed a purposeful training sample (n=360) and random test sample (n=1100) of clinical notes (including 50% discharge summaries and 50% outpatient notes), identified wound cases, and created a gold standard dataset. We then trained and tested our natural language processing system (known as MTERMS) to process the wound information. Finally, we assessed our automated approach by comparing system-generated findings against the gold standard. We also compared the prevalence of wound cases identified from free-text data with coded diagnoses in the structured data. The testing dataset included 101 notes (9.2%) with wound information. The overall system performance was good (F-measure is a compiled measure of system's accuracy=92.7%), with best results for wound treatment (F-measure=95.7%) and poorest results for wound size (F-measure=81.9%). Only 46.5% of wound notes had a structured code for a wound diagnosis. The natural language processing system achieved good performance on a subset of randomly selected discharge summaries and outpatient notes. In more than half of the wound notes, there were no coded wound diagnoses, which highlight the significance of using natural language processing to enrich clinical decision making. Our future steps will include expansion of the application's information coverage to other relevant wound factors and validation of the model with external data. Copyright © 2016 Elsevier Ltd. All rights reserved.

Big biomedical data and cardiovascular disease research: opportunities and challenges.

PubMed

Denaxas, Spiros C; Morley, Katherine I

2015-07-01

Electronic health records (EHRs), data generated and collected during normal clinical care, are increasingly being linked and used for translational cardiovascular disease research. Electronic health record data can be structured (e.g. coded diagnoses) or unstructured (e.g. clinical notes) and increasingly encapsulate medical imaging, genomic and patient-generated information. Large-scale EHR linkages enable researchers to conduct high-resolution observational and interventional clinical research at an unprecedented scale. A significant amount of preparatory work and research, however, is required to identify, obtain, and transform raw EHR data into research-ready variables that can be statistically analysed. This study critically reviews the opportunities and challenges that EHR data present in the field of cardiovascular disease clinical research and provides a series of recommendations for advancing and facilitating EHR research.

The impact of an electronic health questionnaire on symptom management and behavior reporting for breast cancer survivors.

PubMed

Bock, Meredith; Moore, Dan; Hwang, Jimmy; Shumay, Dianne; Lawson, Laurell; Hamolsky, Deborah; Esserman, Laura; Rugo, Hope; Chien, A Jo; Park, John; Munster, Pamela; Melisko, Michelle

2012-08-01

Breast cancer (BC) patients experience multiple symptoms as a result of diagnosis and treatment. While surveillance for detecting cancer recurrence is fundamental to follow-up care, managing symptoms, and promoting health behaviors are equally important. UCSF has implemented a secure online health questionnaire enabling BC patients to provide updates of their health history and symptoms. We randomly selected a sample of stage I-III BC patients (n = 106) who completed a questionnaire before a medical oncology visit between August 2010 and January 2011 and consented to have data used for research. We conducted a chart review calculating the number of symptoms reported in the questionnaire, the clinic note only, and both questionnaire and clinic note, excluding chronic symptoms addressed previously. Self-reported data on exercise and alcohol consumption was compared to documentation of these lifestyle factors in clinic notes. Patients reported significantly more symptoms using the online questionnaire (mean = 3.8, range 0-13) than were documented by the provider in clinic notes (mean = 1.8, range 0-7; p < 0.001 for the difference). A regression plot comparing the percentage of symptoms agreed upon by the patient and provider and the percentage of symptoms addressed yields a slope of 0.56 (95 % CI 0.41-0.71). The number of self-reported symptoms correlates with self-reported Karnofsky scale such that the number of symptoms reported by the patient increases linearly with this score until a threshold and it then plateaus (p < 0.001). Exercise behavior and alcohol consumption were reported in 100 % of the online questionnaires, but was documented in only 30/106 (28 %) and 75/106 (70 %) of charts reviewed. In 19/75 (25 %) charts with alcohol consumption documented, there was substantial discordance between patient and clinician reporting. Electronic data collection of BC patient-reported outcomes has a positive effect on symptom management and identification of opportunities for risk-reducing behavior change.

Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.

PubMed

Zhong, Qiu-Yue; Karlson, Elizabeth W; Gelaye, Bizu; Finan, Sean; Avillach, Paul; Smoller, Jordan W; Cai, Tianxi; Williams, Michelle A

2018-05-29

We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening suicidal behavior among pregnant women in electronic medical records (EMRs). Women aged 10-64 years with at least one diagnostic code related to pregnancy or delivery (N = 275,843) from Partners HealthCare were included as our "datamart." Diagnostic codes related to suicidal behavior were applied to the datamart to screen women for suicidal behavior. Among women without any diagnostic codes related to suicidal behavior (n = 273,410), 5880 women were randomly sampled, of whom 1120 had at least one mention of terms related to suicidal behavior in clinical notes. NLP was then used to process clinical notes for the 1120 women. Chart reviews were performed for subsamples of women. Using diagnostic codes, 196 pregnant women were screened positive for suicidal behavior, among whom 149 (76%) had confirmed suicidal behavior by chart review. Using NLP among those without diagnostic codes, 486 pregnant women were screened positive for suicidal behavior, among whom 146 (30%) had confirmed suicidal behavior by chart review. The use of NLP substantially improves the sensitivity of screening suicidal behavior in EMRs. However, the prevalence of confirmed suicidal behavior was lower among women who did not have diagnostic codes for suicidal behavior but screened positive by NLP. NLP should be used together with diagnostic codes for future EMR-based phenotyping studies for suicidal behavior.

Clinical Note Creation, Binning, and Artificial Intelligence.

PubMed

Deliberato, Rodrigo Octávio; Celi, Leo Anthony; Stone, David J

2017-08-03

The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans. ©Rodrigo Octávio Deliberato, Leo Anthony Celi, David J Stone. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 03.08.2017.

Electronic dental record use and clinical information management patterns among practitioner-investigators in The Dental Practice-Based Research Network

PubMed Central

Schleyer, Titus; Song, Mei; Gilbert, Gregg H.; Rindal, D. Brad; Fellows, Jeffrey L.; Gordan, Valeria V.; Funkhouser, Ellen

2012-01-01

Objectives Determine the: (1) extent of computer use for managing clinical information among practitioner-investigators in The Dental Practice-Based Research Network (DPBRN); (2) type of patient information kept electronically; and (3) willingness to reuse electronic dental record (EDR) data for research. Methods Web-based survey of 991 U.S. and Scandinavian practitioner-investigators. Results 729 (74%) practitioner-investigators responded. Seventy-four percent of US solo and 78.7% of group practitioners used a computer to manage clinical information, and 14.3% and 15.9%, respectively, were paperless. U.S. practitioners stored appointments, treatment plans, completed treatment and images most often electronically, and the periodontal chart, diagnoses, medical history, progress notes and chief complaint least often. Over 90% of Scandinavian practitioners stored all information electronically. Fifty-one percent of all respondents were willing to re-use EDR data for research and 63% preferred electronic forms for data collection. Conclusion The results of this study demonstrate that the trend towards increased adoption of EDRs in the US is continuing, potentially making more data in electronic form available for research. Respondents appear to be willing to reuse EDR data for research and collect data electronically. Clinical implications The rising adoption of EDRs may offer increased opportunities for reusing electronic data for quality assurance and research. PMID:23283926

Benefits of an Electronic Consultation-Liaison Note System: Better Notes Faster

ERIC Educational Resources Information Center

Sola, Christopher L.; Bostwick, J. Michael; Sampson, Shirlene

2007-01-01

Objective: The authors determined the efficiency of electronic documentation in consultation-liaison psychiatry. METHOD: An electronic note system was customized for a psychiatric consultation note. Specific attention given to common diagnoses permitted rapid documentation. Results: Residents learned the system quickly. The standardized nature of…

Aspects of the Patient-centered Medical Home currently in place: initial findings from preparing the personal physician for practice.

PubMed

Carney, Patricia A; Eiff, M Patrice; Saultz, John W; Douglass, Alan B; Tillotson, Carrie J; Crane, Steven D; Jones, Samuel M; Green, Larry A

2009-10-01

The Patient-centered Medical Home (PCMH) is a central concept in the evolving debate about American health care reform. We studied family medicine residency training programs' continuity clinics to assess baseline status of implementing PCMH components and to compare implementation status between community-based and university training programs. We conducted a survey 24 continuity clinics in 14 residency programs that are part of the Preparing the Personal Physicians for Practice (P(4)) program. We asked questions about aspects of P(4) that had been already implemented at the beginning of the P(4) program. We defined high implementation as aspects that were present in >50% of clinics and low implementation as those present in <50% of clinics. We compared features at university-based and community-based clinics. High areas of implementation were having an electronic health record (EHR), fully secured remote access, electronic patient notes/scheduling/billing, chronic disease management registries, and open-access scheduling. Low areas of implementation included hospital EHR with computerized physician order entry, asynchronous communication with patients, ongoing population-based QA using EHR, use of preventive registries, and practice-based research using EHR. Few differences were noted between university- and community-based residency programs. Many features of the PCMH were already established at baseline in programs participating in P(4).

Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

PubMed

Morrison, Frances P; Li, Li; Lai, Albert M; Hripcsak, George

2009-01-01

Electronic clinical documentation can be useful for activities such as public health surveillance, quality improvement, and research, but existing methods of de-identification may not provide sufficient protection of patient data. The general-purpose natural language processor MedLEE retains medical concepts while excluding the remaining text so, in addition to processing text into structured data, it may be able provide a secondary benefit of de-identification. Without modifying the system, the authors tested the ability of MedLEE to remove protected health information (PHI) by comparing 100 outpatient clinical notes with the corresponding XML-tagged output. Of 809 instances of PHI, 26 (3.2%) were detected in output as a result of processing and identification errors. However, PHI in the output was highly transformed, much appearing as normalized terms for medical concepts, potentially making re-identification more difficult. The MedLEE processor may be a good enhancement to other de-identification systems, both removing PHI and providing coded data from clinical text.

Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

PubMed

Afzal, Naveed; Sohn, Sunghwan; Abram, Sara; Scott, Christopher G; Chaudhry, Rajeev; Liu, Hongfang; Kullo, Iftikhar J; Arruda-Olson, Adelaide M

2017-06-01

Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative notes and compared the performance of the NLP algorithm with billing code algorithms, using ankle-brachial index test results as the gold standard. We compared the performance of the NLP algorithm to (1) results of gold standard ankle-brachial index; (2) previously validated algorithms based on relevant International Classification of Diseases, Ninth Revision diagnostic codes (simple model); and (3) a combination of International Classification of Diseases, Ninth Revision codes with procedural codes (full model). A dataset of 1569 patients with PAD and controls was randomly divided into training (n = 935) and testing (n = 634) subsets. We iteratively refined the NLP algorithm in the training set including narrative note sections, note types, and service types, to maximize its accuracy. In the testing dataset, when compared with both simple and full models, the NLP algorithm had better accuracy (NLP, 91.8%; full model, 81.8%; simple model, 83%; P < .001), positive predictive value (NLP, 92.9%; full model, 74.3%; simple model, 79.9%; P < .001), and specificity (NLP, 92.5%; full model, 64.2%; simple model, 75.9%; P < .001). A knowledge-driven NLP algorithm for automatic ascertainment of PAD cases from clinical notes had greater accuracy than billing code algorithms. Our findings highlight the potential of NLP tools for rapid and efficient ascertainment of PAD cases from electronic health records to facilitate clinical investigation and eventually improve care by clinical decision support. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Search Filter Precision Can Be Improved By NOTing Out Irrelevant Content

PubMed Central

Wilczynski, Nancy L.; McKibbon, K. Ann; Haynes, R. Brian

2011-01-01

Background: Most methodologic search filters developed for use in large electronic databases such as MEDLINE have low precision. One method that has been proposed but not tested for improving precision is NOTing out irrelevant content. Objective: To determine if search filter precision can be improved by NOTing out the text words and index terms assigned to those articles that are retrieved but are off-target. Design: Analytic survey. Methods: NOTing out unique terms in off-target articles and testing search filter performance in the Clinical Hedges Database. Main Outcome Measures: Sensitivity, specificity, precision and number needed to read (NNR). Results: For all purpose categories (diagnosis, prognosis and etiology) except treatment and for all databases (MEDLINE, EMBASE, CINAHL and PsycINFO), constructing search filters that NOTed out irrelevant content resulted in substantive improvements in NNR (over four-fold for some purpose categories and databases). Conclusion: Search filter precision can be improved by NOTing out irrelevant content. PMID:22195215

Identifying patients for clinical trials using fuzzy ternary logic expressions on HL7 messages.

PubMed

Majeed, Raphael W; Röhrig, Rainer

2011-01-01

Identifying eligible patients is one of the most critical parts of any clinical trial. The process of recruiting patients for the third phase of any clinical trial is usually done manually, informing relevant physicians or putting notes on bulletin boards. While most necessary information is already available in electronic hospital information systems, required data still has to be looked up individually. Most university hospitals make use of a dedicated communication server to distribute information from independent information systems, e.g. laboratory information systems, electronic health records, surgery planning systems. Thus, a theoretical model is developed to formally describe inclusion and exclusion criteria for each clinical trial using a fuzzy ternary logic expression. These expressions will then be used to process HL7 messages from a communication server in order to identify eligible patients.

Development of electronic medical record charting for hospital-based transfusion and apheresis medicine services: Early adoption perspectives

PubMed Central

Levy, Rebecca; Pantanowitz, Liron; Cloutier, Darlene; Provencher, Jean; McGirr, Joan; Stebbins, Jennifer; Cronin, Suzanne; Wherry, Josh; Fenton, Joseph; Donelan, Eileen; Johari, Vandita; Andrzejewski, Chester

2010-01-01

Background: Electronic medical records (EMRs) provide universal access to health care information across multidisciplinary lines. In pathology departments, transfusion and apheresis medicine services (TAMS) involved in direct patient care activities produce data and documentation that typically do not enter the EMR. Taking advantage of our institution's initiative for implementation of a paperless medical record, our TAMS division set out to develop an electronic charting (e-charting) strategy within the EMR. Methods: A focus group of our hospital's transfusion committee consisting of transfusion medicine specialists, pathologists, residents, nurses, hemapheresis specialists, and information technologists was constituted and charged with the project. The group met periodically to implement e-charting TAMS workflow and produced electronic documents within the EMR (Cerner Millenium) for various service line functions. Results: The interdisciplinary working group developed and implemented electronic versions of various paper-based clinical documentation used by these services. All electronic notes collectively gather and reside within a unique Transfusion Medicine Folder tab in the EMR, available to staff with access to patient charts. E-charting eliminated illegible handwritten notes, resulted in more consistent clinical documentation among staff, and provided greater realered. However, minor updates and corrections to documents as well as select work re-designs were required for optimal use of e-charting-time review/access of hemotherapy practices. No major impediments to workflow or inefficiencies have been encount by these services. Conclusion: Documentation of pathology subspecialty activities such as TAMS can be successfully incorporated into the EMR. E-charting by staff enhances communication and helps promote standardized documentation of patient care within and across service lines. Well-constructed electronic documents in the EMR may also enhance data mining, quality improvement, and biovigilance monitoring activities. PMID:20805955

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

PubMed

Doan, Son; Maehara, Cleo K; Chaparro, Juan D; Lu, Sisi; Liu, Ruiling; Graham, Amanda; Berry, Erika; Hsu, Chun-Nan; Kanegaye, John T; Lloyd, David D; Ohno-Machado, Lucila; Burns, Jane C; Tremoulet, Adriana H

2016-05-01

Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) patients for whom the diagnosis of KD should be considered. We developed an NLP tool that recognizes the KD diagnostic criteria based on standard clinical terms and medical word usage using 22 pediatric ED notes augmented by Unified Medical Language System vocabulary. With high suspicion for KD defined as fever and three or more KD clinical signs, KD-NLP was applied to 253 ED notes from children ultimately diagnosed with either KD or another febrile illness. We evaluated KD-NLP performance against ED notes manually reviewed by clinicians and compared the results to a simple keyword search. KD-NLP identified high-suspicion patients with a sensitivity of 93.6% and specificity of 77.5% compared to notes manually reviewed by clinicians. The tool outperformed a simple keyword search (sensitivity = 41.0%; specificity = 76.3%). KD-NLP showed comparable performance to clinician manual chart review for identification of pediatric ED patients with a high suspicion for KD. This tool could be incorporated into the ED electronic health record system to alert providers to consider the diagnosis of KD. KD-NLP could serve as a model for decision support for other conditions in the ED. © 2016 by the Society for Academic Emergency Medicine.

An Infinite Mixture Model for Coreference Resolution in Clinical Notes

PubMed Central

Liu, Sijia; Liu, Hongfang; Chaudhary, Vipin; Li, Dingcheng

2016-01-01

It is widely acknowledged that natural language processing is indispensable to process electronic health records (EHRs). However, poor performance in relation detection tasks, such as coreference (linguistic expressions pertaining to the same entity/event) may affect the quality of EHR processing. Hence, there is a critical need to advance the research for relation detection from EHRs. Most of the clinical coreference resolution systems are based on either supervised machine learning or rule-based methods. The need for manually annotated corpus hampers the use of such system in large scale. In this paper, we present an infinite mixture model method using definite sampling to resolve coreferent relations among mentions in clinical notes. A similarity measure function is proposed to determine the coreferent relations. Our system achieved a 0.847 F-measure for i2b2 2011 coreference corpus. This promising results and the unsupervised nature make it possible to apply the system in big-data clinical setting. PMID:27595047

Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports

PubMed Central

Yim, Wen-wai; Kwan, Sharon W; Johnson, Guy; Yetisgen, Meliha

2017-01-01

Cancer stage information is important for clinical research. However, they are not always explicitly noted in electronic medical records. In this paper, we present our work on automatic classification of hepatocellular carcinoma (HCC) stages from free-text clinical and radiology notes. To accomplish this, we defined 11 stage parameters used in the three HCC staging systems, American Joint Committee on Cancer (AJCC), Barcelona Clinic Liver Cancer (BCLC), and Cancer of the Liver Italian Program (CLIP). After aggregating stage parameters to the patient-level, the final stage classifications were achieved using an expert-created decision logic. Each stage parameter relevant for staging was extracted using several classification methods, e.g. sentence classification and automatic information structuring, to identify and normalize text as cancer stage parameter values. Stage parameter extraction for the test set performed at 0.81 F1. Cancer stage prediction for AJCC, BCLC, and CLIP stage classifications were 0.55, 0.50, and 0.43 F1.

A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

PubMed

Singh, Karandeep; Betensky, Rebecca A; Wright, Adam; Curhan, Gary C; Bates, David W; Waikar, Sushrut S

2016-12-07

Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. We used natural language processing tools to extract concepts from the preceding year's clinical notes among patients newly referred to a tertiary care center's outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high-dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. Copyright © 2016 by the American Society of Nephrology.

Using clinician text notes in electronic medical record data to validate transgender-related diagnosis codes.

PubMed

Blosnich, John R; Cashy, John; Gordon, Adam J; Shipherd, Jillian C; Kauth, Michael R; Brown, George R; Fine, Michael J

2018-04-04

Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this study was to determine the extent to which patients' clinician notes in EMR contained transgender-related terms that could corroborate ICD-coded transgender identity. Data are from the US Department of Veterans Affairs Corporate Data Warehouse. Transgender patients were defined by the presence of ICD9 and ICD10 codes associated with transgender-related clinical services, and a 3:1 comparison group of nontransgender patients was drawn. Patients' clinician text notes were extracted and searched for transgender-related words and phrases. Among 7560 patients defined as transgender based on ICD codes, the search algorithm identified 6753 (89.3%) with transgender-related terms. Among 22 072 patients defined as nontransgender without ICD codes, 246 (1.1%) had transgender-related terms; after review, 11 patients were identified as transgender, suggesting a 0.05% false negative rate. Using ICD-defined transgender status can facilitate health services research when self-identified gender identity data are not available in EMR.

Documentation of Dual Sensory Impairment in Electronic Medical Records.

PubMed

Dullard, Brittney; Saunders, Gabrielle H

2016-04-01

To examine the documentation of sensory impairment in the electronic medical records (EMRs) of Veterans with both hearing and vision losses (dual sensory impairment [DSI]). A retrospective chart review of the EMRs of 20 patients with DSI was conducted. Providers' documentation of the presence of sensory impairment, the use of assistive technology during clinical appointments, and the content of notes mentioning communication issues were extracted from each chart note in the EMR for the prior 6 years. Primary care providers documented DSI in 50% of EMRs, vision loss alone in 40%, and hearing loss alone in 10% of EMRs. Audiologists documented vision loss in 50% of cases, whereas ophthalmologists/optometrists documented hearing loss in 15% of cases. Examination of two selected cases illustrates that care can be compromised when providers do not take note of sensory impairments during planning and provision of clinical care. Sensory impairment is poorly documented by most providers in EMRs. This is alarming because vision and hearing affect patient-physician communication and the use of medical interventions. The results of this study raise awareness about the need to document the presence of sensory impairments and use the information when planning treatment for individuals with DSI. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Characteristics of Patients Who Report Confusion After Reading Their Primary Care Clinic Notes Online.

PubMed

Root, Joseph; Oster, Natalia V; Jackson, Sara L; Mejilla, Roanne; Walker, Jan; Elmore, Joann G

2016-01-01

Patient access to online electronic medical records (EMRs) is increasing and may offer benefits to patients. However, the inherent complexity of medicine may cause confusion. We elucidate characteristics and health behaviors of patients who report confusion after reading their doctors' notes online. We analyzed data from 4,528 patients in Boston, MA, central Pennsylvania, and Seattle, WA, who were granted online access to their primary care doctors' clinic notes and who viewed at least one note during the 1-year intervention. Three percent of patients reported confusion after reading their visit notes. These patients were more likely to be at least 70 years of age (p < .0001), have fewer years of education (p < .0017), be unemployed (p < .0001), have lower levels of self-reported health (p < .0043), and worry more after reading visit notes (relative risk [RR] 4.83; confidence interval [CI] 3.17, 7.36) compared to patients who were not confused. In adjusted analyses, they were less likely to report feeling more in control of their health (RR 0.42; CI 0.25, 0.71), remembering their care plan (RR 0.26; CI 0.17, 0.42), and understanding their medical conditions (RR 0.32; CI 0.19, 0.54) as a result of reading their doctors' notes compared to patients who were not confused. Patients who were confused by reading their doctors' notes were less likely to report benefits in health behaviors. Understanding this small subset of patients is a critical step in reducing gaps in provider-patient communication and in efforts to tailor educational approaches for patients.

Sick Note to Fit Note: one trust’s project to improve usage by hospital clinicians

PubMed Central

Moran, Amy; Mainwaring, Cathryn; Keane, Oliver; Sanctuary, Thomas; Watson, Kathryn; Lasoye, Tunji

2018-01-01

Introduction In April 2010, the government introduced a new Statement of Fitness to Work or ’Fit Note' for patients requiring time off of work or adaptations to their work due to illness. Responsibility to issue these documents has shifted from primary to secondary care. Hospital clinicians are required to issue for inpatients and for outpatients where clinical responsibility has not been taken over by the general practitioner (GP). However, awareness of this change is lacking. Misdirecting patients to their GP for the sole purpose of receiving a ’Fit Note' is an unnecessary use of appointment time and negatively impacts on patients. King’s College Hospital NHS Trust receives a number of quality alerts from primary care regarding this issue. Methods A trust-wide educational initiative was designed and implemented to increase staff awareness of Fit Notes and their correct usage in order to reduce the number of patients being misdirected to their GP to obtain one. Interventions included direct staff engagement, a trust-wide promotional campaign and creation of an electronic version of the document. Results Uptake of the electronic version of the Fit Note has steadily increased and there has been a fall in the number of quality alerts received by the trust. However, staff awareness on the whole remains low. Conclusions Patients being misdirected to their general practice for Fit Notes is an important issue and one on which the baseline level of awareness among hospital clinicians is low. Challenges during this intervention have been in penetrating a trust of this size and getting the message across to staff. However, digitising the Fit Note can help to increase its use. PMID:29333499

A Multisite Survey Study of EMR Review Habits, Information Needs, and Display Preferences among Medical ICU Clinicians Evaluating New Patients.

PubMed

Nolan, Matthew E; Cartin-Ceba, Rodrigo; Moreno-Franco, Pablo; Pickering, Brian; Herasevich, Vitaly

2017-10-01

The electronic chart review habits of intensive care unit (ICU) clinicians admitting new patients are largely unknown but necessary to inform the design of existing and future critical care information systems. We conducted a survey study to assess the electronic chart review practices, information needs, workflow, and data display preferences among medical ICU clinicians admitting new patients. We surveyed rotating residents, critical care fellows, advanced practice providers, and attending physicians at three Mayo Clinic sites (Minnesota, Florida, and Arizona) via email with a single follow-up reminder message. Of 234 clinicians invited, 156 completed the full survey (67% response rate). Ninety-two percent of medical ICU clinicians performed electronic chart review for the majority of new patients. Clinicians estimated spending a median (interquartile range (IQR)) of 15 (10-20) minutes for a typical case, and 25 (15-40) minutes for complex cases, with no difference across training levels. Chart review spans 3 or more years for two-thirds of clinicians, with the most relevant categories being imaging, laboratory studies, diagnostic studies, microbiology reports, and clinical notes, although most time is spent reviewing notes. Most clinicians (77%) worry about overlooking important information due to the volume of data (74%) and inadequate display/organization (63%). Potential solutions are chronologic ordering of disparate data types, color coding, and explicit data filtering techniques. The ability to dynamically customize information display for different users and varying clinical scenarios is paramount. Electronic chart review of historical data is an important, prevalent, and potentially time-consuming activity among medical ICU clinicians who would benefit from improved information display systems. Schattauer GmbH Stuttgart.

Familial erythrokeratodermia variabilis with pustular lesions: a new variant?

PubMed

Zhang, Li; Huo, Wei; Gao, Xing-Hua; Ma, Lei; Xiu, Yuhong; Zheng, Song; Hong, Yuziao; Chen, Hong-Duo

2010-05-01

We report here a Chinese family with erythrokeratodermia variabilis which had 30 affected members. The patients had characteristic clinical features of stationary and migratory lesions. Some of the patients had adult onset of the disease. Five out of 30 patients noted episodes of pustule-like lesions during their disease course. Histological examination of the proband showed granular cell vacuolation and upper-epidermal neutrophil aggregates. Mitochondria vacuolation was noted in keratinocytes by electron microscopic examination. No GJB3 and GJB4 pathogenic mutation was detected. These unusual presentations suggested a new phenotypic and genetic correlation in this Chinese pedigree of erythrokeratodermia variabilis.

Safety huddles to proactively identify and address electronic health record safety

PubMed Central

Menon, Shailaja; Singh, Hardeep; Giardina, Traber D; Rayburn, William L; Davis, Brenda P; Russo, Elise M

2017-01-01

Objective: Methods to identify and study safety risks of electronic health records (EHRs) are underdeveloped and largely depend on limited end-user reports. “Safety huddles” have been found useful in creating a sense of collective situational awareness that increases an organization’s capacity to respond to safety concerns. We explored the use of safety huddles for identifying and learning about EHR-related safety concerns. Design: Data were obtained from daily safety huddle briefing notes recorded at a single midsized tertiary-care hospital in the United States over 1 year. Huddles were attended by key administrative, clinical, and information technology staff. We conducted a content analysis of huddle notes to identify what EHR-related safety concerns were discussed. We expanded a previously developed EHR-related error taxonomy to categorize types of EHR-related safety concerns recorded in the notes. Results: On review of daily huddle notes spanning 249 days, we identified 245 EHR-related safety concerns. For our analysis, we defined EHR technology to include a specific EHR functionality, an entire clinical software application, or the hardware system. Most concerns (41.6%) involved “EHR technology working incorrectly,” followed by 25.7% involving “EHR technology not working at all.” Concerns related to “EHR technology missing or absent” accounted for 16.7%, whereas 15.9% were linked to “user errors.” Conclusions: Safety huddles promoted discussion of several technology-related issues at the organization level and can serve as a promising technique to identify and address EHR-related safety concerns. Based on our findings, we recommend that health care organizations consider huddles as a strategy to promote understanding and improvement of EHR safety. PMID:28031286

Changes to Workflow and Process Measures in the PICU During Transition From Semi to Full Electronic Health Record.

PubMed

Salib, Mina; Hoffmann, Raymond G; Dasgupta, Mahua; Zimmerman, Haydee; Hanson, Sheila

2015-10-01

Studies showing the changes in workflow during transition from semi to full electronic medical records are lacking. This objective study is to identify the changes in workflow in the PICU during transition from semi to full electronic health record. Prospective observational study. Children's Hospital of Wisconsin Institutional Review Board waived the need for approval so this study was institutional review board exempt. This study measured clinical workflow variables at a 72-bed PICU during different phases of transition to a full electronic health record, which occurred on November 4, 2012. Phases of electronic health record transition were defined as follows: pre-electronic health record (baseline data prior to transition to full electronic health record), transition phase (3 wk after electronic health record), and stabilization (6 mo after electronic health record). Data were analyzed for the three phases using Mann-Whitney U test with a two-sided p value of less than 0.05 considered significant. Seventy-two bed PICU. All patients in the PICU were included during the study periods. Five hundred and sixty-four patients with 2,355 patient days were evaluated in the three phases. Duration of rounds decreased from a median of 9 minutes per patient pre--electronic health record to 7 minutes per patient post electronic health record. Time to final note decreased from 2.06 days pre--electronic health record to 0.5 days post electronic health record. Time to first medication administration after admission also decreased from 33 minutes pre--electronic health record and 7 minutes post electronic health record. Time to Time to medication reconciliation was significantly higher pre-electronic health record than post electronic health record and percent of medication reconciliation completion was significantly lower pre--electronic health record than post electronic health record and percent of medication reconciliation completion was significantly higher pre--electronic health record than. There was no significant change in time between placement of discharge order and physical transfer from the unit [corrected].changes clinical workflow in a PICU with decreased duration of rounds, time to final note, time to medication administration, and time to medication reconciliation completion. There was no change in the duration from medical to physical transfer.

The "Measuring Outcomes of Clinical Connectivity" (MOCC) trial: investigating data entry errors in the Electronic Primary Care Research Network (ePCRN).

PubMed

Fontaine, Patricia; Mendenhall, Tai J; Peterson, Kevin; Speedie, Stuart M

2007-01-01

The electronic Primary Care Research Network (ePCRN) enrolled PBRN researchers in a feasibility trial to test the functionality of the network's electronic architecture and investigate error rates associated with two data entry strategies used in clinical trials. PBRN physicians and research assistants who registered with the ePCRN were eligible to participate. After online consent and randomization, participants viewed simulated patient records, presented as either abstracted data (short form) or progress notes (long form). Participants transcribed 50 data elements onto electronic case report forms (CRFs) without integrated field restrictions. Data errors were analyzed. Ten geographically dispersed PBRNs enrolled 100 members and completed the study in less than 7 weeks. The estimated overall error rate if field restrictions had been applied was 2.3%. Participants entering data from the short form had a higher rate of correctly entered data fields (94.5% vs 90.8%, P = .004) and significantly more error-free records (P = .003). Feasibility outcomes integral to completion of an Internet-based, multisite study were successfully achieved. Further development of programmable electronic safeguards is indicated. The error analysis conducted in this study will aid design of specific field restrictions for electronic CRFs, an important component of clinical trial management systems.

A Concept–Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure

PubMed Central

Betensky, Rebecca A.; Wright, Adam; Curhan, Gary C.; Bates, David W.; Waikar, Sushrut S.

2016-01-01

Background and objectives Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease. Design, setting, participants, & measurements We used natural language processing tools to extract concepts from the preceding year’s clinical notes among patients newly referred to a tertiary care center’s outpatient nephrology clinics and retrospectively evaluated these concepts as predictors for the subsequent development of ESRD using proportional subdistribution hazards (competing risk) regression. The primary outcome was time to ESRD, accounting for a competing risk of death. We identified predictors from univariate and multivariate (adjusting for Tangri linear predictor) models using a 5% threshold for false discovery rate (q value <0.05). We included all patients seen by an adult outpatient nephrologist between January 1, 2004 and June 18, 2014 and excluded patients seen only by transplant nephrology, with preexisting ESRD, with fewer than five clinical notes, with no follow-up, or with no baseline creatinine values. Results Among the 4013 patients selected in the final study cohort, we identified 960 concepts in the unadjusted analysis and 885 concepts in the adjusted analysis. Novel predictors identified included high–dose ascorbic acid (adjusted hazard ratio, 5.48; 95% confidence interval, 2.80 to 10.70; q<0.001) and fast food (adjusted hazard ratio, 4.34; 95% confidence interval, 2.55 to 7.40; q<0.001). Conclusions Novel predictors of human disease may be identified using an unbiased approach to analyze text from the electronic health record. PMID:27927892

Interconnection of electronic medical record with clinical data management system by CDISC ODM.

PubMed

Matsumura, Yasushi; Hattori, Atsushi; Manabe, Shiro; Takeda, Toshihiro; Takahashi, Daiyo; Yamamoto, Yuichiro; Murata, Taizo; Mihara, Naoki

2014-01-01

EDC system has been used in the field of clinical research. The current EDC system does not connect with electronic medical record system (EMR), thus a medical staff has to transcribe the data in EMR to EDC system manually. This redundant process causes not only inefficiency but also human error. We developed an EDC system cooperating with EMR, in which the data required for a clinical research form (CRF) is transcribed automatically from EMR to electronic CRF (eCRF) and is sent via network. We call this system as "eCRF reporter". The interface module of eCRF reporter can retrieves the data in EMR database including patient biography data, laboratory test data, prescription data and data entered by template in progress notes. The eCRF reporter also enables users to enter data directly to eCRF. The eCRF reporter generates CDISC ODM file and PDF which is a translated form of Clinical data in ODM. After storing eCRF in EMR, it is transferred via VPN to a clinical data management system (CDMS) which can receive the eCRF files and parse ODM. We started some clinical research by using this system. This system is expected to promote clinical research efficiency and strictness.

Monitoring Compliance to Promote Quality Assurance: Development of a Mental Health Clinical Chart Audit Tool in Belize, 2013.

PubMed

Winer, Rachel A; Bennett, Eleanor; Murillo, Illouise; Schuetz-Mueller, Jan; Katz, Craig L

2015-09-01

Belize trained psychiatric nurse practitioners (PNPs) in the early 1990s to provide mental health services throughout the country. Despite overwhelming success, the program is limited by lack of monitoring, evaluation, and surveillance. To promote quality assurance, we developed a chart audit tool to monitor mental healthcare delivery compliance for initial psychiatric assessment notes completed by PNPs. After reviewing the Belize Health Information System electronic medical record system, we developed a clinical audit tool to capture 20 essential components for initial assessment clinical notes. The audit tool was then piloted for initial assessment notes completed during July through September of 2013. One hundred and thirty-four initial psychiatric interviews were audited. The average chart score among all PNPs was 9.57, ranging from 3 to 15. Twenty-three charts-or 17.2%-had a score of 14 or higher and met a 70% compliance benchmark goal. Among indicators most frequently omitted included labs ordered and named (15.7%) and psychiatric diagnosis (21.6%). Explicit statement of medications initiated with dose and frequency occurred in 47.0% of charts. Our findings provide direction for training and improvement, such as emphasizing the importance of naming labs ordered, medications and doses prescribed, and psychiatric diagnoses in initial assessment clinical notes. We hope this initial assessment helps enhance mental health delivery compliance by prompting creation of BHIS templates, development of audits tools for revisit follow-up visits, and establishment of corrective actions for low-scoring practitioners. These efforts may serve as a model for implementing quality assurance programming in other low resource settings.

Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis

PubMed Central

Abhyankar, Swapna; Demner-Fushman, Dina; Callaghan, Fiona M; McDonald, Clement J

2014-01-01

Objective To develop a generalizable method for identifying patient cohorts from electronic health record (EHR) data—in this case, patients having dialysis—that uses simple information retrieval (IR) tools. Methods We used the coded data and clinical notes from the 24 506 adult patients in the Multiparameter Intelligent Monitoring in Intensive Care database to identify patients who had dialysis. We used SQL queries to search the procedure, diagnosis, and coded nursing observations tables based on ICD-9 and local codes. We used a domain-specific search engine to find clinical notes containing terms related to dialysis. We manually validated the available records for a 10% random sample of patients who potentially had dialysis and a random sample of 200 patients who were not identified as having dialysis based on any of the sources. Results We identified 1844 patients that potentially had dialysis: 1481 from the three coded sources and 1624 from the clinical notes. Precision for identifying dialysis patients based on available data was estimated to be 78.4% (95% CI 71.9% to 84.2%) and recall was 100% (95% CI 86% to 100%). Conclusions Combining structured EHR data with information from clinical notes using simple queries increases the utility of both types of data for cohort identification. Patients identified by more than one source are more likely to meet the inclusion criteria; however, including patients found in any of the sources increases recall. This method is attractive because it is available to researchers with access to EHR data and off-the-shelf IR tools. PMID:24384230

Interventions to increase physician efficiency and comfort with an electronic health record system.

PubMed

Jalota, L; Aryal, M R; Mahmood, M; Wasser, T; Donato, A

2015-01-01

To determine comfort when using the Electronic Health Record (EHR) and increase in documentation efficiency after an educational intervention for physicians to improve their transition to a new EHR. This study was a single-center randomized, parallel, non-blinded controlled trial of real-time, focused educational interventions by physician peers in addition to usual training in the intervention arm compared with usual training in the control arm. Participants were 44 internal medicine physicians and residents stratified to groups using a survey of comfort with electronic media during rollout of a system-wide EHR and order entry system. Outcomes were median time to complete a progress note, notes completed after shift, and comfort with EHR at 20 and 40 shifts. In the intervention group, 73 education sessions averaging 14.4 (SD: 7.7) minutes were completed with intervention group participants, who received an average of 3.47 (SD: 2.1) interventions. Intervention group participants decreased their time to complete a progress note more quickly than controls over 30 shifts (p < 0.001) and recorded significantly fewer progress notes after scheduled duty hours (77 versus 292, p < 0.001). Comfort with EHRs increased significantly in both groups from baseline but did not differ significantly by group. Intervention group participants felt that the intervention was more helpful than their standard training (3.47 versus 1.95 on 4-point scale). Physicians teaching physicians during clinical work improved physician efficiency but not comfort with EHRs. More study is needed to determine best methods to assist those most challenged with new EHR rollouts.

Text de-identification for privacy protection: a study of its impact on clinical text information content.

PubMed

Meystre, Stéphane M; Ferrández, Óscar; Friedlin, F Jeffrey; South, Brett R; Shen, Shuying; Samore, Matthew H

2014-08-01

As more and more electronic clinical information is becoming easier to access for secondary uses such as clinical research, approaches that enable faster and more collaborative research while protecting patient privacy and confidentiality are becoming more important. Clinical text de-identification offers such advantages but is typically a tedious manual process. Automated Natural Language Processing (NLP) methods can alleviate this process, but their impact on subsequent uses of the automatically de-identified clinical narratives has only barely been investigated. In the context of a larger project to develop and investigate automated text de-identification for Veterans Health Administration (VHA) clinical notes, we studied the impact of automated text de-identification on clinical information in a stepwise manner. Our approach started with a high-level assessment of clinical notes informativeness and formatting, and ended with a detailed study of the overlap of select clinical information types and Protected Health Information (PHI). To investigate the informativeness (i.e., document type information, select clinical data types, and interpretation or conclusion) of VHA clinical notes, we used five different existing text de-identification systems. The informativeness was only minimally altered by these systems while formatting was only modified by one system. To examine the impact of de-identification on clinical information extraction, we compared counts of SNOMED-CT concepts found by an open source information extraction application in the original (i.e., not de-identified) version of a corpus of VHA clinical notes, and in the same corpus after de-identification. Only about 1.2-3% less SNOMED-CT concepts were found in de-identified versions of our corpus, and many of these concepts were PHI that was erroneously identified as clinical information. To study this impact in more details and assess how generalizable our findings were, we examined the overlap between select clinical information annotated in the 2010 i2b2 NLP challenge corpus and automatic PHI annotations from our best-of-breed VHA clinical text de-identification system (nicknamed 'BoB'). Overall, only 0.81% of the clinical information exactly overlapped with PHI, and 1.78% partly overlapped. We conclude that automated text de-identification's impact on clinical information is small, but not negligible, and that improved clinical acronyms and eponyms disambiguation could significantly reduce this impact. Copyright © 2014 Elsevier Inc. All rights reserved.

Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.

PubMed

Zhang, Rui; Liu, Jialin; Huang, Yong; Wang, Miye; Shi, Qingke; Chen, Jun; Zeng, Zhi

2017-05-02

It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition. This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT. The system focuses on the SNOMED CT with Chinese synonyms enrichment (SCCSE). The literal similarity and the diagnosis-related similarity metrics were used for concept mapping. Two CTCF recognition methods, the rule- and terminology-based approach (RTBA) and the conditional random field machine learner (CRF), were adopted to identify the concepts in physician notes. The system was validated against the history of present illness annotated by clinical experts. The RTBA and CRF could be combined to predict new CTCFs besides SCCSE persistently. Around 59,000 CTCF candidates were accepted as valid and 39,000 of them occurred at least once in the history of present illness. 3,729 of them were accordant with the description in referenced Chinese clinical nomenclature, which could cross map to other international nomenclature such as SNOMED CT. With the hybrid similarity metrics, another 7,454 valid CTCFs (synonyms) were succeeded in concept mapping. For CTCF recognition in physician notes, a series of experiments were performed to find out the best CRF feature set, which gained an F-score of 0.887. The RTBA achieved a better F-score of 0.919 by the CTCF dictionary created in this research. This research demonstrated that it is feasible to help the SNOMED CT with Chinese synonyms enrichment based on physician notes in CIS. With continuous maintenance of SCCSE, the CTCFs could be precisely retrieved from free text, and the CTCFs arranged in semantic hierarchy of SNOMED CT could greatly improve the meaningful use of electronic health record in China. The methodology is also useful for clinical synonyms enrichment in other languages.

Demand management: an audit of chemical pathology test rejections by an electronic gate-keeping system at an academic hospital in Cape Town.

PubMed

Smit, Ida; Zemlin, Annalise E; Erasmus, Rajiv T

2015-07-01

Demand management is an area of laboratory activity, which is becoming increasingly important. Within the health-care system, demand management can be defined as the use of health resources to maximise its utility. Tygerberg Hospital has introduced an electronic gate-keeping system. Chemistry tests which generate the highest cost are subjected to this system and may be automatically rejected according to a set of rules. This study aimed: (1) to identify the number of chemistry tests rejected by the eGK; (2) to identify which of these rejected tests were subsequently restored and (3) to assess the impact of rejections on clinical outcome and cost-saving. A retrospective audit was conducted to determine the number of chemistry tests rejected and subsequently restored over a 6-month period. The case-notes of patients for whom requested tests previously rejected had been restored were randomly selected and investigated to assess clinical impact. Any cost-saving was calculated. A total of 68,480 tests were subjected to gate-keeping, and 4605 tests (6.7%) were rejected while 679 (14.7%) of these were restored by the requestor phoning the laboratory after obtaining authorisation. After examining a subset of clinical notes it was found that in most cases (80%), patient care was unaffected. The total cost saved was £ 25,387. The majority of the rejected tests were unnecessary and following rejection, real savings were made. Electronic gate-keeping is a simple, effective and sustainable method of demand management. © The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

The Effect of an Electronic SBAR Communication Tool on Documentation of Acute Events in the Pediatric Intensive Care Unit.

PubMed

Panesar, Rahul S; Albert, Ben; Messina, Catherine; Parker, Margaret

2016-01-01

The Situation, Background, Assessment, Recommendation (SBAR) handoff tool is designed to improve communication. The effects of integrating an electronic medical record (EMR) with a SBAR template are unclear. The research team hypothesizes that an electronic SBAR template improves documentation and communication between nurses and physicians. In all, 84 patient events were recorded from 542 admissions to the pediatric intensive care unit. Three time periods were studied: (a) paper documentation only, (b) electronic documentation, and (c) electronic documentation with an SBAR template. Documentation quality was assessed using a 4-point scoring system. The frequency of event notes increased progressively during the 3 study periods. Mean quality scores improved significantly from paper documentation to EMR free-text notes and to electronic SBAR-template notes, as did nurse and attending physician notification. The implementation of an electronic SBAR note is associated with more complete documentation and increased frequency of documentation of communication among nurses and physicians. © The Author(s) 2014.

Writing and reading in the electronic health record: an entirely new world.

PubMed

Han, Heeyoung; Lopp, Lauri

2013-02-05

Electronic health records (EHRs) are structured, distributed documentation systems that differ from paper charts. These systems require skills not traditionally used to navigate a paper chart and to produce a written clinic note. Despite these differences, little attention has been given to physicians' electronic health record (EHR)-writing and -reading competence. This study aims to investigate physicians' self-assessed competence to document and to read EHR notes; writing and reading preferences in an EHR; and demographic characteristics associated with their perceived EHR ability and preference. Fourteen 5-point Likert scale items, based on EHR system characteristics and a literature review, were developed to measure EHR-writing and -reading competence and preference. Physicians in the midwest region of the United States were invited via e-mail to complete the survey online from February to April 2011. Factor analysis and reliability testing were conducted to provide validity and reliability of the instrument. Correlation and regression analysis were conducted to pursue answers to the research questions. Ninety-one physicians (12.5%), from general and specialty fields, working in inpatient and outpatient settings, participated in the survey. Despite over 3 years of EHR experience, respondents perceived themselves to be incompetent in EHR writing and reading (Mean = 2.74, SD = 0.76). They preferred to read succinct, narrative notes in EHR systems. However, physicians with higher perceived EHR-writing and -reading competence had less preference toward reading succinct (r= - 0.33, p<0.001) and narrative (r= - 0.36, p<0.001) EHR notes than physicians with lower perceived EHR competence. Physicians' perceived EHR-writing and -reading competence was strongly related to their EHR navigation skills (r=0.55, p<0.0001). Writing and reading EHR documentation is different for physicians. Maximizing navigation skills can optimize non-linear EHR writing and reading. Pedagogical questions remain related to how physicians and medical students are able to retrieve correct information effectively and to understand thought patterns in collectively lengthier and sometimes fragmented EHR chart notes.

Novel combined patient instruction and discharge summary tool improves timeliness of documentation and outpatient provider satisfaction

PubMed Central

Gilliam, Meredith; Krein, Sarah L; Belanger, Karen; Fowler, Karen E; Dimcheff, Derek E; Solomon, Gabriel

2017-01-01

Background: Incomplete or delayed access to discharge information by outpatient providers and patients contributes to discontinuity of care and poor outcomes. Objective: To evaluate the effect of a new electronic discharge summary tool on the timeliness of documentation and communication with outpatient providers. Methods: In June 2012, we implemented an electronic discharge summary tool at our 145-bed university-affiliated Veterans Affairs hospital. The tool facilitates completion of a comprehensive discharge summary note that is available for patients and outpatient medical providers at the time of hospital discharge. Discharge summary note availability, outpatient provider satisfaction, and time between the decision to discharge a patient and discharge note completion were all evaluated before and after implementation of the tool. Results: The percentage of discharge summary notes completed by the time of first post-discharge clinical contact improved from 43% in February 2012 to 100% in September 2012 and was maintained at 100% in 2014. A survey of 22 outpatient providers showed that 90% preferred the new summary and 86% found it comprehensive. Despite increasing required documentation, the time required to discharge a patient, from physician decision to discharge note completion, improved from 5.6 h in 2010 to 4.1 h in 2012 (p = 0.04), and to 2.8 h in 2015 (p < 0.001). Conclusion: The implementation of a novel discharge summary tool improved the timeliness and comprehensiveness of discharge information as needed for the delivery of appropriate, high-quality follow-up care, without adversely affecting the efficiency of the discharge process. PMID:28491308

Novel combined patient instruction and discharge summary tool improves timeliness of documentation and outpatient provider satisfaction.

PubMed

Gilliam, Meredith; Krein, Sarah L; Belanger, Karen; Fowler, Karen E; Dimcheff, Derek E; Solomon, Gabriel

2017-01-01

Incomplete or delayed access to discharge information by outpatient providers and patients contributes to discontinuity of care and poor outcomes. To evaluate the effect of a new electronic discharge summary tool on the timeliness of documentation and communication with outpatient providers. In June 2012, we implemented an electronic discharge summary tool at our 145-bed university-affiliated Veterans Affairs hospital. The tool facilitates completion of a comprehensive discharge summary note that is available for patients and outpatient medical providers at the time of hospital discharge. Discharge summary note availability, outpatient provider satisfaction, and time between the decision to discharge a patient and discharge note completion were all evaluated before and after implementation of the tool. The percentage of discharge summary notes completed by the time of first post-discharge clinical contact improved from 43% in February 2012 to 100% in September 2012 and was maintained at 100% in 2014. A survey of 22 outpatient providers showed that 90% preferred the new summary and 86% found it comprehensive. Despite increasing required documentation, the time required to discharge a patient, from physician decision to discharge note completion, improved from 5.6 h in 2010 to 4.1 h in 2012 (p = 0.04), and to 2.8 h in 2015 (p < 0.001). The implementation of a novel discharge summary tool improved the timeliness and comprehensiveness of discharge information as needed for the delivery of appropriate, high-quality follow-up care, without adversely affecting the efficiency of the discharge process.

Heuristic evaluation of eNote: an electronic notes system.

PubMed

Bright, Tiffani J; Bakken, Suzanne; Johnson, Stephen B

2006-01-01

eNote is an electronic health record (EHR) system based on semi-structured narrative documents. A heuristic evaluation was conducted with a sample of five usability experts. eNote performed highly in: 1)consistency with standards and 2)recognition rather than recall. eNote needs improvement in: 1)help and documentation, 2)aesthetic and minimalist design, 3)error prevention, 4)helping users recognize, diagnosis, and recover from errors, and 5)flexibility and efficiency of use. The heuristic evaluation was an efficient method of evaluating our interface.

Usage Analysis of a Shared Care Planning System

PubMed Central

Warren, Jim; Gu, Yulong; Humphrey, Gayl

2012-01-01

We examined the content of electronically mediated communications in a trial of shared care planning (SCP) for long-term condition management. Software supports SCP by sharing patient records and care plans among members of the multidisciplinary care team (with patient access). Our analysis focuses on a three-month period with 73 enrolled patients, 149 provider-assigned tasks, 64 clinical notes and 48 care plans with 162 plan elements. Results show that content of notes entries is often related to task assignment and that nurses are the most active users. Directions for refinement of the SCP technology are indicated, including better integration of notes, tasks and care team notifications, as well as the central role of nurses for design use cases. Broader issues are raised about workforce roles and responsibilities for SCP, integrating patient-provider and provider-provider communications, and the centrality of care plans as the key entity in mediation of the care team. PMID:23304370

Building an automated problem list based on natural language processing: lessons learned in the early phase of development.

PubMed

Solti, Imre; Aaronson, Barry; Fletcher, Grant; Solti, Magdolna; Gennari, John H; Cooper, Melissa; Payne, Tom

2008-11-06

Detailed problem lists that comply with JCAHO requirements are important components of electronic health records. Besides improving continuity of care electronic problem lists could serve as foundation infrastructure for clinical trial recruitment, research, biosurveillance and billing informatics modules. However, physicians rarely maintain problem lists. Our team is building a system using MetaMap and UMLS to automatically populate the problem list. We report our early results evaluating the application. Three physicians generated gold standard problem lists for 100 cardiology ambulatory progress notes. Our application had 88% sensitivity and 66% precision using a non-modified UMLS dataset. The systemâs misses concentrated in the group of ambiguous problem list entries (Chi-square=27.12 p<0.0001). In addition to the explicit entries, the notes included 10% implicit entry candidates. MetaMap and UMLS are readily applicable to automate the problem list. Ambiguity in medical documents has consequences for performance evaluation of automated systems.

Use of Narrative Nursing Records for Nursing Research

PubMed Central

Park, Hyeoun-Ae; Cho, InSook; Ahn, Hee-Jung

2012-01-01

To explore the usefulness of narrative nursing records documented using a standardized terminology-based electronic nursing records system, we conducted three different studies on (1) the gaps between the required nursing care time and the actual nursing care time, (2) the practice variations in pressure ulcer care, and (3) the surveillance of adverse drug events. The narrative nursing notes, documented at the point of care using standardized nursing statements, were extracted from the clinical data repository at a teaching hospital in Korea and analyzed. Our findings were: the pediatric and geriatric units showed relatively high staffing needs; overall incidence rate of pressure ulcer among the intensive-care patients was 15.0% and the nursing interventions provided for pressure-ulcer care varied depending on nursing units; and at least one adverse drug event was noted in 53.0% of the cancer patients who were treated with cisplatin. A standardized nursing terminology-based electronic nursing record system allowed us to explore answers to different various research questions. PMID:24199111

Building an Electronic Handover Tool for Physicians Using a Collaborative Approach between Clinicians and the Development Team.

PubMed

Guilbeault, Peggy; Momtahan, Kathryn; Hudson, Jordan

2015-01-01

In an effort by The Ottawa Hospital (TOH) to become one of the top 10% performers in patient safety and quality of care, the hospital embarked on improving the communication process during handover between physicians by building an electronic handover tool. It is expected that this tool will decrease information loss during handover. The Information Systems (IS) department engaged a workgroup of physicians to become involved in defining requirements to build an electronic handover tool that suited their clinical handover needs. This group became ultimately responsible for defining the graphical user interface (GUI) and all functionality related to the tool. Prior to the pilot, the Information Systems team will run a usability testing session to ensure the application is user friendly and has met the goals and objectives of the workgroup. As a result, The Ottawa Hospital has developed a fully integrated electronic handover tool built on the Clinical Mobile Application (CMA) which allows clinicians to enter patient problems, notes and tasks available to all physicians to facilitate the handover process.

NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.

PubMed

Wang, Yue; Luo, Jin; Hao, Shiying; Xu, Haihua; Shin, Andrew Young; Jin, Bo; Liu, Rui; Deng, Xiaohong; Wang, Lijuan; Zheng, Le; Zhao, Yifan; Zhu, Chunqing; Hu, Zhongkai; Fu, Changlin; Hao, Yanpeng; Zhao, Yingzhen; Jiang, Yunliang; Dai, Dorothy; Culver, Devore S; Alfreds, Shaun T; Todd, Rogow; Stearns, Frank; Sylvester, Karl G; Widen, Eric; Ling, Xuefeng B

2015-12-01

In order to proactively manage congestive heart failure (CHF) patients, an effective CHF case finding algorithm is required to process both structured and unstructured electronic medical records (EMR) to allow complementary and cost-efficient identification of CHF patients. We set to identify CHF cases from both EMR codified and natural language processing (NLP) found cases. Using narrative clinical notes from all Maine Health Information Exchange (HIE) patients, the NLP case finding algorithm was retrospectively (July 1, 2012-June 30, 2013) developed with a random subset of HIE associated facilities, and blind-tested with the remaining facilities. The NLP based method was integrated into a live HIE population exploration system and validated prospectively (July 1, 2013-June 30, 2014). Total of 18,295 codified CHF patients were included in Maine HIE. Among the 253,803 subjects without CHF codings, our case finding algorithm prospectively identified 2411 uncodified CHF cases. The positive predictive value (PPV) is 0.914, and 70.1% of these 2411 cases were found to be with CHF histories in the clinical notes. A CHF case finding algorithm was developed, tested and prospectively validated. The successful integration of the CHF case findings algorithm into the Maine HIE live system is expected to improve the Maine CHF care. Copyright © 2015. Published by Elsevier Ireland Ltd.

Association of Medical Directors of Information Systems consensus on inpatient electronic health record documentation.

PubMed

Shoolin, J; Ozeran, L; Hamann, C; Bria, W

2013-01-01

In 2013, electronic documentation of clinical care stands at a crossroads. The benefits of creating digital notes are at risk of being overwhelmed by the inclusion of easily importable detail. Providers are the primary authors of encounters with patients. We must document clearly our understanding of patients and our communication with them and our colleagues. We want to document efficiently to meet without exceeding documentation guidelines. We copy and paste documentation, because it not only simplifies the documentation process generally, but also supports meeting coding and regulatory requirements specifically. Since the primary goal of our profession is to spend as much time as possible listening to, understanding and helping patients, clinicians need information technology to make electronic documentation easier, not harder. At the same time, there should be reasonable restrictions on the use of copy and paste to limit the growing challenge of 'note bloat'. We must find the right balance between ease of use and thoughtless documentation. The guiding principles in this document may be used to launch an interdisciplinary dialogue that promotes useful and necessary documentation that best facilitates efficient information capture and effective display.

Quality of outpatient clinical notes: a stakeholder definition derived through qualitative research.

PubMed

Hanson, Janice L; Stephens, Mark B; Pangaro, Louis N; Gimbel, Ronald W

2012-11-19

There are no empirically-grounded criteria or tools to define or benchmark the quality of outpatient clinical documentation. Outpatient clinical notes document care, communicate treatment plans and support patient safety, medical education, medico-legal investigations and reimbursement. Accurately describing and assessing quality of clinical documentation is a necessary improvement in an increasingly team-based healthcare delivery system. In this paper we describe the quality of outpatient clinical notes from the perspective of multiple stakeholders. Using purposeful sampling for maximum diversity, we conducted focus groups and individual interviews with clinicians, nursing and ancillary staff, patients, and healthcare administrators at six federal health care facilities between 2009 and 2011. All sessions were audio-recorded, transcribed and qualitatively analyzed using open, axial and selective coding. The 163 participants included 61 clinicians, 52 nurse/ancillary staff, 31 patients and 19 administrative staff. Three organizing themes emerged: 1) characteristics of quality in clinical notes, 2) desired elements within the clinical notes and 3) system supports to improve the quality of clinical notes. We identified 11 codes to describe characteristics of clinical notes, 20 codes to describe desired elements in quality clinical notes and 11 codes to describe clinical system elements that support quality when writing clinical notes. While there was substantial overlap between the aspects of quality described by the four stakeholder groups, only clinicians and administrators identified ease of translation into billing codes as an important characteristic of a quality note. Only patients rated prioritization of their medical problems as an aspect of quality. Nurses included care and education delivered to the patient, information added by the patient, interdisciplinary information, and infection alerts as important content. Perspectives of these four stakeholder groups provide a comprehensive description of quality in outpatient clinical documentation. The resulting description of characteristics and content necessary for quality notes provides a research-based foundation for assessing the quality of clinical documentation in outpatient health care settings.

Hospital Readmission and Social Risk Factors Identified from Physician Notes.

PubMed

Navathe, Amol S; Zhong, Feiran; Lei, Victor J; Chang, Frank Y; Sordo, Margarita; Topaz, Maxim; Navathe, Shamkant B; Rocha, Roberto A; Zhou, Li

2018-04-01

To evaluate the prevalence of seven social factors using physician notes as compared to claims and structured electronic health records (EHRs) data and the resulting association with 30-day readmissions. A multihospital academic health system in southeastern Massachusetts. An observational study of 49,319 patients with cardiovascular disease admitted from January 1, 2011, to December 31, 2013, using multivariable logistic regression to adjust for patient characteristics. All-payer claims, EHR data, and physician notes extracted from a centralized clinical registry. All seven social characteristics were identified at the highest rates in physician notes. For example, we identified 14,872 patient admissions with poor social support in physician notes, increasing the prevalence from 0.4 percent using ICD-9 codes and structured EHR data to 16.0 percent. Compared to an 18.6 percent baseline readmission rate, risk-adjusted analysis showed higher readmission risk for patients with housing instability (readmission rate 24.5 percent; p < .001), depression (20.6 percent; p < .001), drug abuse (20.2 percent; p = .01), and poor social support (20.0 percent; p = .01). The seven social risk factors studied are substantially more prevalent than represented in administrative data. Automated methods for analyzing physician notes may enable better identification of patients with social needs. © Health Research and Educational Trust.

Assessing Psychodynamic Conflict.

PubMed

Simmonds, Joshua; Constantinides, Prometheas; Perry, J Christopher; Drapeau, Martin; Sheptycki, Amanda R

2015-09-01

Psychodynamic psychotherapies suggest that symptomatic relief is provided, in part, with the resolution of psychic conflicts. Clinical researchers have used innovative methods to investigate such phenomenon. This article aims to review the literature on quantitative psychodynamic conflict rating scales. An electronic search of the literature was conducted to retrieve quantitative observer-rated scales used to assess conflict noting each measure's theoretical model, information source, and training and clinical experience required. Scales were also examined for levels of reliability and validity. Five quantitative observer-rated conflict scales were identified. Reliability varied from poor to excellent with each measure demonstrating good validity. However a small number of studies and limited links to current conflict theory suggest further clinical research is needed.

Redundancy-Aware Topic Modeling for Patient Record Notes

PubMed Central

Cohen, Raphael; Aviram, Iddo; Elhadad, Michael; Elhadad, Noémie

2014-01-01

The clinical notes in a given patient record contain much redundancy, in large part due to clinicians’ documentation habit of copying from previous notes in the record and pasting into a new note. Previous work has shown that this redundancy has a negative impact on the quality of text mining and topic modeling in particular. In this paper we describe a novel variant of Latent Dirichlet Allocation (LDA) topic modeling, Red-LDA, which takes into account the inherent redundancy of patient records when modeling content of clinical notes. To assess the value of Red-LDA, we experiment with three baselines and our novel redundancy-aware topic modeling method: given a large collection of patient records, (i) apply vanilla LDA to all documents in all input records; (ii) identify and remove all redundancy by chosing a single representative document for each record as input to LDA; (iii) identify and remove all redundant paragraphs in each record, leaving partial, non-redundant documents as input to LDA; and (iv) apply Red-LDA to all documents in all input records. Both quantitative evaluation carried out through log-likelihood on held-out data and topic coherence of produced topics and qualitative assessement of topics carried out by physicians show that Red-LDA produces superior models to all three baseline strategies. This research contributes to the emerging field of understanding the characteristics of the electronic health record and how to account for them in the framework of data mining. The code for the two redundancy-elimination baselines and Red-LDA is made publicly available to the community. PMID:24551060

Redundancy-aware topic modeling for patient record notes.

PubMed

Cohen, Raphael; Aviram, Iddo; Elhadad, Michael; Elhadad, Noémie

2014-01-01

The clinical notes in a given patient record contain much redundancy, in large part due to clinicians' documentation habit of copying from previous notes in the record and pasting into a new note. Previous work has shown that this redundancy has a negative impact on the quality of text mining and topic modeling in particular. In this paper we describe a novel variant of Latent Dirichlet Allocation (LDA) topic modeling, Red-LDA, which takes into account the inherent redundancy of patient records when modeling content of clinical notes. To assess the value of Red-LDA, we experiment with three baselines and our novel redundancy-aware topic modeling method: given a large collection of patient records, (i) apply vanilla LDA to all documents in all input records; (ii) identify and remove all redundancy by chosing a single representative document for each record as input to LDA; (iii) identify and remove all redundant paragraphs in each record, leaving partial, non-redundant documents as input to LDA; and (iv) apply Red-LDA to all documents in all input records. Both quantitative evaluation carried out through log-likelihood on held-out data and topic coherence of produced topics and qualitative assessment of topics carried out by physicians show that Red-LDA produces superior models to all three baseline strategies. This research contributes to the emerging field of understanding the characteristics of the electronic health record and how to account for them in the framework of data mining. The code for the two redundancy-elimination baselines and Red-LDA is made publicly available to the community.

“Smart Forms” in an Electronic Medical Record: Documentation-based Clinical Decision Support to Improve Disease Management

PubMed Central

Schnipper, Jeffrey L.; Linder, Jeffrey A.; Palchuk, Matvey B.; Einbinder, Jonathan S.; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

2008-01-01

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing “Smart Forms” to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions. PMID:18436911

"Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.

PubMed

Schnipper, Jeffrey L; Linder, Jeffrey A; Palchuk, Matvey B; Einbinder, Jonathan S; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

2008-01-01

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.

User-centered design in clinical handover: exploring post-implementation outcomes for clinicians.

PubMed

Wong, Ming Chao; Cummings, Elizabeth; Turner, Paul

2013-01-01

This paper examines the outcomes for clinicians from their involvement in the development of an electronic clinical hand-over tool developed using principles of user-centered design. Conventional e-health post-implementation evaluations tend to emphasize technology-related (mostly positive) outcomes. More recently, unintended (mostly negative) consequences arising from the implementation of e-health technologies have also been reported. There remains limited focus on the post-implementation outcomes for users, particularly those directly involved in e-health design processes. This paper presents detailed analysis and insights into the outcomes experienced post-implementation by a cohort of junior clinicians involved in developing an electronic clinical handover tool in Tasmania, Australia. The qualitative methods used included observations, semi-structured interviews and analysis of clinical handover notes. Significantly, a number of unanticipated flow-on effects were identified that mitigated some of the challenges arising during the design and implementation of the tool. The paper concludes by highlighting the importance of identifying post-implementation user outcomes beyond conventional system adoption and use and also points to the need for more comprehensive evaluative frameworks to encapsulate these broader socio-technical user outcomes.

Probiotics for the management of type 2 diabetes mellitus: A systematic review and meta-analysis.

PubMed

Samah, Syamimi; Ramasamy, Kalavathy; Lim, Siong Meng; Neoh, Chin Fen

2016-08-01

To systematically review evidence of probiotic interventions against type 2 diabetes mellitus (T2DM) and analyse the effects of probiotics on glycaemic control among T2DM patients. Electronic search using five electronic databases was performed until October 2015. Relevant studies were identified, extracted and assessed for risk of bias. The primary outcomes of this review were glycated haemoglobin (HbA1c) and fasting blood glucose (FBG). Fasting plasma insulin, homeostasis model assessment-insulin resistance, C-reactive protein, interleukin-6 and malondialdehyde, were identified as the secondary outcomes. Mean differences (MD) between probiotics and control groups for all outcomes were pooled using either Fixed- or Random-Effect Model. Statistical heterogeneity was assessed using I(2) and Chi(2) tests. Six randomised controlled trials (RCTs) were included in the systematic review, whereas only five were included in meta-analysis. Most RCTs were presented with low or unclear risk of bias. When compared to placebo, FBG was significantly lower with probiotic consumption (MD=-0.98mmol/L; 95% CI: -1.17, 0.78, p<0.00001), with moderate but insignificant heterogeneity noted. Insignificant changes between the groups were also noted for HbA1c and other secondary outcomes. A moderate hypoglycaemic effect of probiotics, with a significantly lower FBG was noted. Findings on HbA1c, anti-inflammatory and anti-oxidative effects of probiotics in the clinical setting, however, remain inconsistent. The findings imply the need for well-designed clinical studies to further assess the potential beneficial effects of probiotics in management of T2DM. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Identifying and Overcoming Obstacles to Point-of-Care Data Collection for Eye Care Professionals

PubMed Central

Lobach, David F.; Silvey, Garry M.; Macri, Jennifer M.; Hunt, Megan; Kacmaz, Roje O.; Lee, Paul P.

2005-01-01

Supporting data entry by clinicians is considered one of the greatest challenges in implementing electronic health records. In this paper we describe a formative evaluation study using three different methodologies through which we identified obstacles to point-of-care data entry for eye care and then used the formative process to develop and test solutions to overcome these obstacles. The greatest obstacles were supporting free text annotation of clinical observations and accommodating the creation of detailed diagrams in multiple colors. To support free text entry, we arrived at an approach that captures an image of a free text note and associates this image with related data elements in an encounter note. The detailed diagrams included a color pallet that allowed changing pen color with a single stroke and also captured the diagrams as an image associated with related data elements. During observed sessions with simulated patients, these approaches satisfied the clinicians’ documentation needs by capturing the full range of clinical complexity that arises in practice. PMID:16779083

Automated extraction of family history information from clinical notes.

PubMed

Bill, Robert; Pakhomov, Serguei; Chen, Elizabeth S; Winden, Tamara J; Carter, Elizabeth W; Melton, Genevieve B

2014-01-01

Despite increased functionality for obtaining family history in a structured format within electronic health record systems, clinical notes often still contain this information. We developed and evaluated an Unstructured Information Management Application (UIMA)-based natural language processing (NLP) module for automated extraction of family history information with functionality for identifying statements, observations (e.g., disease or procedure), relative or side of family with attributes (i.e., vital status, age of diagnosis, certainty, and negation), and predication ("indicator phrases"), the latter of which was used to establish relationships between observations and family member. The family history NLP system demonstrated F-scores of 66.9, 92.4, 82.9, 57.3, 97.7, and 61.9 for detection of family history statements, family member identification, observation identification, negation identification, vital status, and overall extraction of the predications between family members and observations, respectively. While the system performed well for detection of family history statements and predication constituents, further work is needed to improve extraction of certainty and temporal modifications.

Automated Extraction of Family History Information from Clinical Notes

PubMed Central

Bill, Robert; Pakhomov, Serguei; Chen, Elizabeth S.; Winden, Tamara J.; Carter, Elizabeth W.; Melton, Genevieve B.

2014-01-01

Despite increased functionality for obtaining family history in a structured format within electronic health record systems, clinical notes often still contain this information. We developed and evaluated an Unstructured Information Management Application (UIMA)-based natural language processing (NLP) module for automated extraction of family history information with functionality for identifying statements, observations (e.g., disease or procedure), relative or side of family with attributes (i.e., vital status, age of diagnosis, certainty, and negation), and predication (“indicator phrases”), the latter of which was used to establish relationships between observations and family member. The family history NLP system demonstrated F-scores of 66.9, 92.4, 82.9, 57.3, 97.7, and 61.9 for detection of family history statements, family member identification, observation identification, negation identification, vital status, and overall extraction of the predications between family members and observations, respectively. While the system performed well for detection of family history statements and predication constituents, further work is needed to improve extraction of certainty and temporal modifications. PMID:25954443

Detecting Protected Health Information in Heterogeneous Clinical Notes.

PubMed

Henriksson, Aron; Kvist, Maria; Dalianis, Hercules

2017-01-01

To enable secondary use of healthcare data in a privacy-preserving manner, there is a need for methods capable of automatically identifying protected health information (PHI) in clinical text. To that end, learning predictive models from labeled examples has emerged as a promising alternative to rule-based systems. However, little is known about differences with respect to PHI prevalence in different types of clinical notes and how potential domain differences may affect the performance of predictive models trained on one particular type of note and applied to another. In this study, we analyze the performance of a predictive model trained on an existing PHI corpus of Swedish clinical notes and applied to a variety of clinical notes: written (i) in different clinical specialties, (ii) under different headings, and (iii) by persons in different professions. The results indicate that domain adaption is needed for effective detection of PHI in heterogeneous clinical notes.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

Contents: commentary; noteworthy governmental happenings; notes on nps technology; notes on watershed management; news from the states; agricultural notes; nps electronic bulletin board (bbs) news; reviews; and announcements of interest.

Evaluation of Documentation Patterns of Trainees and Supervising Physicians Using Data Mining.

PubMed

Madhavan, Ramesh; Tang, Chi; Bhattacharya, Pratik; Delly, Fadi; Basha, Maysaa M

2014-09-01

The electronic health record (EHR) includes a rich data set that may offer opportunities for data mining and natural language processing to answer questions about quality of care, key aspects of resident education, or attributes of the residents' learning environment. We used data obtained from the EHR to report on inpatient documentation practices of residents and attending physicians at a large academic medical center. We conducted a retrospective observational study of deidentified patient notes entered over 7 consecutive months by a multispecialty university physician group at an urban hospital. A novel automated data mining technology was used to extract patient note-related variables. A sample of 26 802 consecutive patient notes was analyzed using the data mining and modeling tool Healthcare Smartgrid. Residents entered most of the notes (33%, 8178 of 24 787) between noon and 4 pm and 31% (7718 of 24 787) of notes between 8 am and noon. Attending physicians placed notes about teaching attestations within 24 hours in only 73% (17 843 of 24 443) of the records. Surgical residents were more likely to place notes before noon (P < .001). Nonsurgical faculty were more likely to provide attestation of resident notes within 24 hours (P < .001). Data related to patient note entry was successfully used to objectively measure current work flow of resident physicians and their supervising faculty, and the findings have implications for physician oversight of residents' clinical work. We were able to demonstrate the utility of a data mining model as an assessment tool in graduate medical education.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

Contents: a water quality highlight--environmental excellence awards in epa region vi; commentary--lakes conference brings exciting opportunities; news-notes editorial policy; noteworthy water quality happenings; news from the states; notes on the coastal environment; agricultural notes; notes on riparian and watershed management; notes on environmental education; nps electronic bulletin board (bbs) news.

A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs

PubMed Central

Zhou, Li; Collins, Sarah; Morgan, Stephen J.; Zafar, Neelam; Gesner, Emily J.; Fehrenbach, Martin; Rocha, Roberto A.

2016-01-01

Structured clinical documentation is an important component of electronic health records (EHRs) and plays an important role in clinical care, administrative functions, and research activities. Clinical data elements serve as basic building blocks for composing the templates used for generating clinical documents (such as notes and forms). We present our experience in creating and maintaining data elements for three different EHRs (one home-grown and two commercial systems) across different clinical settings, using flowsheet data elements as examples in our case studies. We identified basic but important challenges (including naming convention, links to standard terminologies, and versioning and change management) and possible solutions to address them. We also discussed more complicated challenges regarding governance, documentation vs. structured data capture, pre-coordination vs. post-coordination, reference information models, as well as monitoring, communication and training. PMID:28269927

Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health

PubMed Central

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2018-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text — found in biomedical publications and clinical notes — is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine. PMID:27807747

Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

PubMed

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2016-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next-generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text-found in biomedical publications and clinical notes-is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine.

Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making

NASA Astrophysics Data System (ADS)

Beam, Andrew L.; Kartoun, Uri; Pai, Jennifer K.; Chatterjee, Arnaub K.; Fitzgerald, Timothy P.; Shaw, Stanley Y.; Kohane, Isaac S.

2017-02-01

Insomnia remains under-diagnosed and poorly treated despite its high economic and social costs. Though previous work has examined how patient characteristics affect sleep medication prescriptions, the role of physician characteristics that influence this clinical decision remains unclear. We sought to understand patient and physician factors that influence sleep medication prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical notes as well as codified data. Zolpidem and trazodone were the most widely prescribed initial sleep medication in a cohort of 1,105 patients. Some providers showed a historical preference for one medication, which was highly predictive of their future prescribing behavior. Using a predictive model (AUC = 0.77), physician preference largely determined which medication a patient received (OR = 3.13 p = 3 × 10-37). In addition to the dominant effect of empirically determined physician preference, discussion of depression in a patient’s note was found to have a statistically significant association with receiving a prescription for trazodone (OR = 1.38, p = 0.04). EMR data can yield insights into physician prescribing behavior based on real-world physician-patient interactions.

Using natural language processing to analyze physician modifications to data entry templates.

PubMed Central

Wilcox, Adam B.; Narus, Scott P.; Bowes, Watson A.

2002-01-01

Efficient data entry by clinicians remains a significant challenge for electronic medical records. Current approaches have largely focused on either structured data entry, which can be limiting in expressive power, or free-text entry, which restricts the use of the data for automated decision support. Text-based templates are a semi-structured data entry method that has been used to assist physicians in manually entering clinical notes, by allowing them to edit predefined example notes. We analyzed changes made to 18,726 sentences from text templates, using a natural language processor. The most common changes were addition or deletion of normal observations, or changes in certainty. We identified common modifications that could be captured in structured form by a graphical user interface. PMID:12463955

Report of the AMA Council on Ethical and Judicial Affairs: professionalism in the use of social media.

PubMed

Shore, Rebecca; Halsey, Julia; Shah, Kavita; Crigger, Bette-Jane; Douglas, Sharon P

2011-01-01

Although many physicians have been using the internet for both clinical and social purposes for years, recently concerns have been raised regarding blurred boundaries of the profession as a whole. In both the news media and medical literature, physicians have noted there are unanswered questions in these areas, and that professional self-regulation is needed. This report discusses the ethical implications of physicians' nonclinical use of the internet, including the use of social networking sites, blogs, and other means to post content online. It does not address the clinical use of the internet, such as telemedicine, e-prescribing, online clinical consultations, health-related websites, use of electronic media for clinical collaboration, and e-mailing patients (some of which are already covered in the AMA's Code of Medical Ethics).

An audit of inpatient case records and suggestions for improvements.

PubMed

Arshad, A R; Ganesananthan, S; Ajik, S

2000-09-01

A study was carried out in Kuala Lumpur Hospital to review the adequacy of documentation of bio-data and clinical data including clinical examination, progress review, discharge process and doctor's identification in ten of our clinical departments. Twenty criteria were assessed in a retrospective manner to scrutinize the contents of medical notes and subsequently two prospective evaluations were conducted to see improvement in case notes documentation. Deficiencies were revealed in all the criteria selected. However there was a statistically significant improvement in the eleven clinical data criteria in the subsequent two evaluations. Illegibility of case note entries and an excessive usage of abbreviations were noted during this audit. All clinical departments and hospitals should carry out detailed studies into the contents of their medical notes.

Assessing the readability of ClinicalTrials.gov

PubMed Central

Wu, Danny TY; Hanauer, David A; Mei, Qiaozhu; Clark, Patricia M; An, Lawrence C; Proulx, Joshua; Zeng, Qing T; Vydiswaran, VG Vinod; Collins-Thompson, Kevyn

2016-01-01

Objective ClinicalTrials.gov serves critical functions of disseminating trial information to the public and helping the trials recruit participants. This study assessed the readability of trial descriptions at ClinicalTrials.gov using multiple quantitative measures. Materials and Methods The analysis included all 165 988 trials registered at ClinicalTrials.gov as of April 30, 2014. To obtain benchmarks, the authors also analyzed 2 other medical corpora: (1) all 955 Health Topics articles from MedlinePlus and (2) a random sample of 100 000 clinician notes retrieved from an electronic health records system intended for conveying internal communication among medical professionals. The authors characterized each of the corpora using 4 surface metrics, and then applied 5 different scoring algorithms to assess their readability. The authors hypothesized that clinician notes would be most difficult to read, followed by trial descriptions and MedlinePlus Health Topics articles. Results Trial descriptions have the longest average sentence length (26.1 words) across all corpora; 65% of their words used are not covered by a basic medical English dictionary. In comparison, average sentence length of MedlinePlus Health Topics articles is 61% shorter, vocabulary size is 95% smaller, and dictionary coverage is 46% higher. All 5 scoring algorithms consistently rated CliniclTrials.gov trial descriptions the most difficult corpus to read, even harder than clinician notes. On average, it requires 18 years of education to properly understand these trial descriptions according to the results generated by the readability assessment algorithms. Discussion and Conclusion Trial descriptions at CliniclTrials.gov are extremely difficult to read. Significant work is warranted to improve their readability in order to achieve CliniclTrials.gov’s goal of facilitating information dissemination and subject recruitment. PMID:26269536

A New Insight Into Sudden Cardiac Death in Young People

PubMed Central

Wang, Yueyue; Xia, Lei; Shen, Xiaodong; Han, Guoxin; Feng, Dan; Xiao, Hongju; Zhai, Yongzhi; Chen, Xin; Miao, Yuanyuan; Zhao, Chunhong; Wang, Yingchan; Guo, Mingguang; Li, Tanshi; Zhu, Hai Yan

2015-01-01

Abstract Takotsubo cardiomyopathy (TTC) causes sudden cardiac death and has garnered increased attention worldwide in recent years. However, few studies have clearly classified the risk factors for this disease, including gender, race and morbidity, as well as the physical and mental stressors that can exacerbate the disease, particularly in young patients. To better analyze the characteristics of young TTC patients, we performed a systematic review of reported cases involving young patients. A computer-assisted search was performed using prominent electronic medical information sources to identify literature published between January 1965 and December 2013. Relevant studies containing clinical data of young TTC patients were included. Ninety-six records that included information about 104 cases were ultimately selected for our review. Several of the following results were noted: First, physical stress was more likely to exacerbate TTC than was mental stress in young patients. Second, more female than male TTC patients were noted among both young patients and the general population. Third, ethnicity appears to play no role in the disease, as no significant differences were noted among individuals of different races with respect to clinical characteristics, morbidity or stressors. Fourth, the clinical manifestations of TTC were similar to those of other cardiac diseases, including coronary heart disease. However, TTC may be detected using the combination of echocardiography and ventriculography. Clinicians should consider TTC if young patients present with symptoms similar to those of coronary heart disease so that harmful treatments such as coronary artery stent placement may be avoided. Moreover, the answers to questions regarding the clinical diagnostic criteria, etiology, pathophysiology, and the management of this syndrome in youth remain unclear; therefore, further research is needed. PMID:26266349

A New Insight Into Sudden Cardiac Death in Young People: A Systematic Review of Cases of Takotsubo Cardiomyopathy.

PubMed

Wang, Yueyue; Xia, Lei; Shen, Xiaodong; Han, Guoxin; Feng, Dan; Xiao, Hongju; Zhai, Yongzhi; Chen, Xin; Miao, Yuanyuan; Zhao, Chunhong; Wang, Yingchan; Guo, Mingguang; Li, Tanshi; Zhu, Hai Yan

2015-08-01

Takotsubo cardiomyopathy (TTC) causes sudden cardiac death and has garnered increased attention worldwide in recent years. However, few studies have clearly classified the risk factors for this disease, including gender, race and morbidity, as well as the physical and mental stressors that can exacerbate the disease, particularly in young patients. To better analyze the characteristics of young TTC patients, we performed a systematic review of reported cases involving young patients.A computer-assisted search was performed using prominent electronic medical information sources to identify literature published between January 1965 and December 2013. Relevant studies containing clinical data of young TTC patients were included.Ninety-six records that included information about 104 cases were ultimately selected for our review. Several of the following results were noted: First, physical stress was more likely to exacerbate TTC than was mental stress in young patients. Second, more female than male TTC patients were noted among both young patients and the general population. Third, ethnicity appears to play no role in the disease, as no significant differences were noted among individuals of different races with respect to clinical characteristics, morbidity or stressors. Fourth, the clinical manifestations of TTC were similar to those of other cardiac diseases, including coronary heart disease. However, TTC may be detected using the combination of echocardiography and ventriculography.Clinicians should consider TTC if young patients present with symptoms similar to those of coronary heart disease so that harmful treatments such as coronary artery stent placement may be avoided. Moreover, the answers to questions regarding the clinical diagnostic criteria, etiology, pathophysiology, and the management of this syndrome in youth remain unclear; therefore, further research is needed.

NOTE: A practical approach for electron monitor unit calculation

NASA Astrophysics Data System (ADS)

Choi, David; Patyal, Baldev; Cho, Jongmin; Cheng, Ing Y.; Nookala, Prashanth

2009-08-01

Electron monitor unit (MU) calculation requires measured beam data such as the relative output factor (ROF) of a cone, insert correction factor (ICF) and effective source-to-surface distance (ESD). Measuring the beam data to cover all possible clinical cases is not practical for a busy clinic because it takes tremendous time and labor. In this study, we propose a practical approach to reduce the number of data measurements without affecting accuracy. It is based on two findings of dosimetric properties of electron beams. One is that the output ratio of two inserts is independent of the cone used, and the other is that ESD is a function of field size but independent of cone and jaw opening. For the measurements to prove the findings, a parallel plate ion chamber (Markus, PTW 23343) with an electrometer (Cardinal Health 35040) was used. We measured the outputs to determine ROF, ICF and ESD of different energies (5-21 MeV). Measurements were made in a Plastic Water™ phantom or in water. Three linear accelerators were used: Siemens MD2 (S/N 2689), Siemens Primus (S/N 3305) and Varian Clinic 21-EX (S/N 1495). With these findings, the number of data set to be measured can be reduced to less than 20% of the data points.

Approaches to ascertaining comorbidity information: validation of routine hospital episode data with clinician-based case note review.

PubMed

Soo, Martin; Robertson, Lynn M; Ali, Tariq; Clark, Laura E; Fluck, Nicholas; Johnston, Marjorie; Marks, Angharad; Prescott, Gordon J; Smith, William Cairns S; Black, Corri

2014-04-21

In clinical practice, research, and increasingly health surveillance, planning and costing, there is a need for high quality information to determine comorbidity information about patients. Electronic, routinely collected healthcare data is capturing increasing amounts of clinical information as part of routine care. The aim of this study was to assess the validity of routine hospital administrative data to determine comorbidity, as compared with clinician-based case note review, in a large cohort of patients with chronic kidney disease. A validation study using record linkage. Routine hospital administrative data were compared with clinician-based case note review comorbidity data in a cohort of 3219 patients with chronic kidney disease. To assess agreement, we calculated prevalence, kappa statistic, sensitivity, specificity, positive predictive value and negative predictive value. Subgroup analyses were also performed. Median age at index date was 76.3 years, 44% were male, 67% had stage 3 chronic kidney disease and 31% had at least three comorbidities. For most comorbidities, we found a higher prevalence recorded from case notes compared with administrative data. The best agreement was found for cerebrovascular disease (κ = 0.80) ischaemic heart disease (κ = 0.63) and diabetes (κ = 0.65). Hypertension, peripheral vascular disease and dementia showed only fair agreement (κ = 0.28, 0.39, 0.38 respectively) and smoking status was found to be poorly recorded in administrative data. The patterns of prevalence across subgroups were as expected and for most comorbidities, agreement between case note and administrative data was similar. Agreement was less, however, in older ages and for those with three or more comorbidities for some conditions. This study demonstrates that hospital administrative comorbidity data compared moderately well with case note review data for cerebrovascular disease, ischaemic heart disease and diabetes, however there was significant under-recording of some other comorbid conditions, and particularly common risk factors.

Medical student appraisal: electronic resources for inpatient pre-rounding.

PubMed

Sampognaro, P J; Mitchell, S L; Weeks, S R; Khalifian, S; Markman, T M; Uebel, L W; Dattilo, J R

2013-01-01

Pre-rounding is essential to preparing for morning rounds. Despite its importance, pre-rounding is rarely formally taught within the medical school curriculum and more often informally learned by modeling residents. The evolution of mobile applications provides opportunities to optimize this process. To evaluate three options available to medical students while pre-rounding and promote adoption of mobile resources in clinical care. Six medical students formed the evaluation cohort. Students were surveyed to assess pre-rounding practices. Participants utilized paper-based pre-rounding templates for two weeks followed by two weeks of the electronic note-taking service Evernote. A review of mobile applications on the iTunes and Google Play stores was performed, with each application informally reviewed by a single student. The application Scutsheet was selected for formal review by all students. Data was collected from narrative responses supplied by students throughout the evaluation periods and aggregated to assess strengths and limitations of each application. Pre-study responses demonstrated two consistent processes: verbal sign-out of overnight events and template use to organize patient information. The paper-based template was praised for its organization and familiarity amongst residents, but perceived as limited by the requirement of re-copying data into the hospital's electronic medical record (EMR). Evernote excelled due to compatibility across multiple operating systems, including accessibility from clinical workstations and ability to copy notes into the hospital's EMR. Scutsheet allowed for retention of data across multiple hospital days, but was limited by inability to export data or modify the electronic template. Aggregated user feedback identified the abilities to customize templates and copy information into the EMR as two prevailing characteristics that enhanced the efficiency of pre-rounding. Mobile devices offer the potential to enhance pre-rounding efficiency for medical students and residents. A customizable Evernote-based system is described in sufficient detail for reproduction by interested students.

Ethnographic analysis on the use of the electronic medical record for clinical handoff.

PubMed

Nelson, Philippa; Bell, Anthony J; Nathanson, Larry; Sanchez, Leon D; Fisher, Jonathan; Anderson, Philip D

2017-12-01

The objective of this study was to understand the social elements of clinical and organizational interactions of the key stakeholders in the specific context of an electronic dashboard used by the emergency department (ED) and inpatient medicine teams at the time of clinical referral and handover. An electronic handover function is utilised at the ED-inpatient interface at this institution and has given clinicians the ability to better communicate, monitor the department and strive to improve patient safety in streamline the delivery of care in the acute phase. This study uses an ethnographic qualitative research design incorporating semistructured interviews, participant observation on the ED floor and fieldwork notes. The setting for this research was in the ED at a tertiary University affiliated hospital. Triangulation was used to combine information obtained from multiple sources and information from fieldwork and interviews refined into useable chunks culminating in a thematic analysis. Thematic analysis yielded five central themes that reflected how the clinical staff utilised this IT system and why it had become embedded in the culture of clinical referral and handover. Efficient time management for improved patient flow was demonstrated, value added communication (at the interpersonal level), the building trust at the ED-inpatient interface, the maintenance of mutual respect across medical cultures and an overall enhancement of the quality of ED communication (in terms of the information available). A robust electronic handover process, resulted in an integrated approach to patient care by removing barriers to admission for medical inpatients, admitted via ED. The value proposition for patients was a more complete information transfer, both within the ED and between departments.

Instant replay.

PubMed

Rosenthal, David I

2013-06-01

With widespread adoption of electronic health records (EHRs) and electronic clinical documentation, health care organizations now have greater faculty to review clinical data and evaluate the efficacy of quality improvement efforts. Unfortunately, I believe there is a fundamental gap between actual health care delivery and what we document in the current EHR systems. This process of capturing the patient encounter, which I'll refer to as transcription, is prone to significant data loss due to inadequate methods of data capture, multiple points of view, and bias and subjectivity in the transcriptional process. Our current EHR, text-based clinical documentation systems are lossy abstractions - one sided accounts of what take place between patients and providers. Our clinical notes contain the breadcrumbs of relationships, conversations, physical exams, and procedures but often lack the ability to capture the form, the emotions, the images, the nonverbal communication, and the actual narrative of interactions between human beings. I believe that a video record, in conjunction with objective transcriptional services and other forms of data capture, may provide a closer approximation to the truth of health care delivery and may be a valuable tool for healthcare improvement. Copyright © 2013 Elsevier Inc. All rights reserved.

Electronic Nursing Notes: A Case Study on Interdisciplinary Collaboration

ERIC Educational Resources Information Center

Howard, Elizabeth V.; Teets, Janet

2006-01-01

In an interdisciplinary collaboration between the Computer & Information Technology (CIT) and Nursing (NSG) Departments at the Middletown and Hamilton regional campuses of Miami University (of Ohio), student team members created a Web-based application to create Electronic Nursing Notes. Students from the two departments worked together to…

Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.

PubMed

Gundlapalli, Adi V; Divita, Guy; Redd, Andrew; Carter, Marjorie E; Ko, Danette; Rubin, Michael; Samore, Matthew; Strymish, Judith; Krein, Sarah; Gupta, Kalpana; Sales, Anne; Trautner, Barbara W

2017-07-01

To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to assist infection preventionists and other healthcare professionals in determining whether a patient has an indwelling urinary catheter when a catheter-associated urinary tract infection is suspected. Currently, data on indwelling urinary catheters is not consistently captured in the electronic medical record in structured format and thus cannot be reliably extracted for clinical and research purposes. We developed a lexicon of terms related to indwelling urinary catheters and urinary symptoms based on domain knowledge, prior experience in the field, and review of medical notes. A reference standard of 1595 randomly selected documents from inpatient admissions was annotated by human reviewers to identify all positively and negatively asserted concepts related to indwelling urinary catheters. We trained a natural language processing pipeline based on the V3NLP framework using 1050 documents and tested on 545 documents to determine agreement with the human reference standard. Metrics reported are positive predictive value and recall. The lexicon contained 590 terms related to the presence of an indwelling urinary catheter in various categories including insertion, care, change, and removal of urinary catheters and 67 terms for urinary symptoms. Nursing notes were the most frequent inpatient note titles in the reference standard document corpus; these also yielded the highest number of positively asserted concepts with respect to urinary catheters. Comparing the performance of the natural language processing pipeline against the human reference standard, the overall recall was 75% and positive predictive value was 99% on the training set; on the testing set, the recall was 72% and positive predictive value was 98%. The performance on extracting urinary symptoms (including fever) was high with recall and precision greater than 90%. We have shown that it is possible to identify the presence of an indwelling urinary catheter and urinary symptoms from the free text of electronic medical notes from inpatients using natural language processing. These are two key steps in developing automated protocols to assist humans in large-scale review of patient charts for catheter-associated urinary tract infection. The challenges associated with extracting indwelling urinary catheter-related concepts also inform the design of electronic medical record templates to reliably and consistently capture data on indwelling urinary catheters. Published by Elsevier Inc.

Mining Clinicians' Electronic Documentation to Identify Heart Failure Patients with Ineffective Self-Management: A Pilot Text-Mining Study.

PubMed

Topaz, Maxim; Radhakrishnan, Kavita; Lei, Victor; Zhou, Li

2016-01-01

Effective self-management can decrease up to 50% of heart failure hospitalizations. Unfortunately, self-management by patients with heart failure remains poor. This pilot study aimed to explore the use of text-mining to identify heart failure patients with ineffective self-management. We first built a comprehensive self-management vocabulary based on the literature and clinical notes review. We then randomly selected 545 heart failure patients treated within Partners Healthcare hospitals (Boston, MA, USA) and conducted a regular expression search with the compiled vocabulary within 43,107 interdisciplinary clinical notes of these patients. We found that 38.2% (n = 208) patients had documentation of ineffective heart failure self-management in the domains of poor diet adherence (28.4%), missed medical encounters (26.4%) poor medication adherence (20.2%) and non-specified self-management issues (e.g., "compliance issues", 34.6%). We showed the feasibility of using text-mining to identify patients with ineffective self-management. More natural language processing algorithms are needed to help busy clinicians identify these patients.

Identifying adverse drug event information in clinical notes with distributional semantic representations of context.

PubMed

Henriksson, Aron; Kvist, Maria; Dalianis, Hercules; Duneld, Martin

2015-10-01

For the purpose of post-marketing drug safety surveillance, which has traditionally relied on the voluntary reporting of individual cases of adverse drug events (ADEs), other sources of information are now being explored, including electronic health records (EHRs), which give us access to enormous amounts of longitudinal observations of the treatment of patients and their drug use. Adverse drug events, which can be encoded in EHRs with certain diagnosis codes, are, however, heavily underreported. It is therefore important to develop capabilities to process, by means of computational methods, the more unstructured EHR data in the form of clinical notes, where clinicians may describe and reason around suspected ADEs. In this study, we report on the creation of an annotated corpus of Swedish health records for the purpose of learning to identify information pertaining to ADEs present in clinical notes. To this end, three key tasks are tackled: recognizing relevant named entities (disorders, symptoms, drugs), labeling attributes of the recognized entities (negation, speculation, temporality), and relationships between them (indication, adverse drug event). For each of the three tasks, leveraging models of distributional semantics - i.e., unsupervised methods that exploit co-occurrence information to model, typically in vector space, the meaning of words - and, in particular, combinations of such models, is shown to improve the predictive performance. The ability to make use of such unsupervised methods is critical when faced with large amounts of sparse and high-dimensional data, especially in domains where annotated resources are scarce. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

E-suicide note: A newer trend and its medico-legal implications in India.

PubMed

Behera, C; Karthik, Krishna; Dogra, Td; Lalwani, S; Millo, T; Singh, Sr

2014-06-01

Rapid advancements of information and communication technology in the form of electronic mails, mobile phones, social networking sites, etc have an increasing impact on people's day to day life. It has been observed that these readily available applications are used frequently to express suicidal intentions. There are many studies on conventional handwritten suicide notes but suicide note in electronic format is an emerging issue and an under-researched phenomena. The authors have termed it as "E-suicide note" and discuss its medico-legal implications in India with examples from their observations. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

VA OpenNotes: exploring the experiences of early patient adopters with access to clinical notes.

PubMed

Nazi, Kim M; Turvey, Carolyn L; Klein, Dawn M; Hogan, Timothy P; Woods, Susan S

2015-03-01

To explore the experience of early patient adopters who accessed their clinical notes online using the Blue Button feature of the My HealtheVet portal. A web-based survey of VA patient portal users from June 22 to September 15, 2013. 33.5% of respondents knew that clinical notes could be viewed, and nearly one in four (23.5%) said that they had viewed their notes at least once. The majority of VA Notes users agreed that accessing their notes will help them to do a better job of taking medications as prescribed (80.1%) and be better prepared for clinic visits (88.6%). Nine out of 10 users agreed that use of visit notes will help them understand their conditions better (91.8%), and better remember the plan for their care (91.9%). In contrast, 87% disagreed that VA Notes will make them worry more, and 88.4% disagreed that access to VA Notes will be more confusing than helpful. Users who had either contacted their provider or healthcare team (11.9%) or planned to (13.5%) primarily wanted to learn more about a health issue, medication, or test results (53.7%). Initial assessment of the patient experience within the first 9 months of availability provides evidence that patients both value and benefit from online access to clinical notes. These findings are congruent with OpenNotes study findings on a broader scale. Additional outreach and education is needed to enhance patient awareness. Healthcare professionals should author notes keeping in mind the opportunity patient access presents for enhanced communication. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Design and implementation of an inpatient physician documentation system using off-the-shelf components.

PubMed

Cucina, Russell J; Bokser, Seth J; Carter, Jonathan T; McLaren, Kevin M; Blum, Michael S

2007-10-11

We report the development and implementation of an electronic inpatient physician documentation system using off-the-shelf components, rapidly and at low cost. Within 9 months of deployment, over half of physician notes were electronic, and within 20 months, paper physician notes were eliminated. Our results suggest institutions can prioritize conversion to inpatient electronic physician documentation without waiting for development of sophisticated software packages or large capital investments.

Designing Interactive Courseware: Creating an Electronic Edition of the Notes of Debates in the Philadelphia Convention of 1787.

ERIC Educational Resources Information Center

Schick, James B. M.

2002-01-01

Describes the educational philosophy and decisions that shaped development of an electronic reader's edition of James Madison's notes on the debates of the Philadelphia Convention of 1787. Discusses the role of hypermedia in history instruction. %Illustrates and explains the design of the resource. (PAL)

Vital sign documentation in electronic records: The development of workarounds.

PubMed

Stevenson, Jean E; Israelsson, Johan; Nilsson, Gunilla; Petersson, Goran; Bath, Peter A

2018-06-01

Workarounds are commonplace in healthcare settings. An increase in the use of electronic health records has led to an escalation of workarounds as healthcare professionals cope with systems which are inadequate for their needs. Closely related to this, the documentation of vital signs in electronic health records has been problematic. The accuracy and completeness of vital sign documentation has a direct impact on the recognition of deterioration in a patient's condition. We examined workflow processes to identify workarounds related to vital signs in a 372-bed hospital in Sweden. In three clinical areas, a qualitative study was performed with data collected during observations and interviews and analysed through thematic content analysis. We identified paper workarounds in the form of handwritten notes and a total of eight pre-printed paper observation charts. Our results suggested that nurses created workarounds to allow a smooth workflow and ensure patients safety.

A study of the transferability of influenza case detection systems between two large healthcare systems

PubMed Central

Wagner, Michael M.; Cooper, Gregory F.; Ferraro, Jeffrey P.; Su, Howard; Gesteland, Per H.; Haug, Peter J.; Millett, Nicholas E.; Aronis, John M.; Nowalk, Andrew J.; Ruiz, Victor M.; López Pineda, Arturo; Shi, Lingyun; Van Bree, Rudy; Ginter, Thomas; Tsui, Fuchiang

2017-01-01

Objectives This study evaluates the accuracy and transferability of Bayesian case detection systems (BCD) that use clinical notes from emergency department (ED) to detect influenza cases. Methods A BCD uses natural language processing (NLP) to infer the presence or absence of clinical findings from ED notes, which are fed into a Bayesain network classifier (BN) to infer patients’ diagnoses. We developed BCDs at the University of Pittsburgh Medical Center (BCDUPMC) and Intermountain Healthcare in Utah (BCDIH). At each site, we manually built a rule-based NLP and trained a Bayesain network classifier from over 40,000 ED encounters between Jan. 2008 and May. 2010 using feature selection, machine learning, and expert debiasing approach. Transferability of a BCD in this study may be impacted by seven factors: development (source) institution, development parser, application (target) institution, application parser, NLP transfer, BN transfer, and classification task. We employed an ANOVA analysis to study their impacts on BCD performance. Results Both BCDs discriminated well between influenza and non-influenza on local test cases (AUCs > 0.92). When tested for transferability using the other institution’s cases, BCDUPMC discriminations declined minimally (AUC decreased from 0.95 to 0.94, p<0.01), and BCDIH discriminations declined more (from 0.93 to 0.87, p<0.0001). We attributed the BCDIH decline to the lower recall of the IH parser on UPMC notes. The ANOVA analysis showed five significant factors: development parser, application institution, application parser, BN transfer, and classification task. Conclusion We demonstrated high influenza case detection performance in two large healthcare systems in two geographically separated regions, providing evidentiary support for the use of automated case detection from routinely collected electronic clinical notes in national influenza surveillance. The transferability could be improved by training Bayesian network classifier locally and increasing the accuracy of the NLP parser. PMID:28380048

A study of the transferability of influenza case detection systems between two large healthcare systems.

PubMed

Ye, Ye; Wagner, Michael M; Cooper, Gregory F; Ferraro, Jeffrey P; Su, Howard; Gesteland, Per H; Haug, Peter J; Millett, Nicholas E; Aronis, John M; Nowalk, Andrew J; Ruiz, Victor M; López Pineda, Arturo; Shi, Lingyun; Van Bree, Rudy; Ginter, Thomas; Tsui, Fuchiang

2017-01-01

This study evaluates the accuracy and transferability of Bayesian case detection systems (BCD) that use clinical notes from emergency department (ED) to detect influenza cases. A BCD uses natural language processing (NLP) to infer the presence or absence of clinical findings from ED notes, which are fed into a Bayesain network classifier (BN) to infer patients' diagnoses. We developed BCDs at the University of Pittsburgh Medical Center (BCDUPMC) and Intermountain Healthcare in Utah (BCDIH). At each site, we manually built a rule-based NLP and trained a Bayesain network classifier from over 40,000 ED encounters between Jan. 2008 and May. 2010 using feature selection, machine learning, and expert debiasing approach. Transferability of a BCD in this study may be impacted by seven factors: development (source) institution, development parser, application (target) institution, application parser, NLP transfer, BN transfer, and classification task. We employed an ANOVA analysis to study their impacts on BCD performance. Both BCDs discriminated well between influenza and non-influenza on local test cases (AUCs > 0.92). When tested for transferability using the other institution's cases, BCDUPMC discriminations declined minimally (AUC decreased from 0.95 to 0.94, p<0.01), and BCDIH discriminations declined more (from 0.93 to 0.87, p<0.0001). We attributed the BCDIH decline to the lower recall of the IH parser on UPMC notes. The ANOVA analysis showed five significant factors: development parser, application institution, application parser, BN transfer, and classification task. We demonstrated high influenza case detection performance in two large healthcare systems in two geographically separated regions, providing evidentiary support for the use of automated case detection from routinely collected electronic clinical notes in national influenza surveillance. The transferability could be improved by training Bayesian network classifier locally and increasing the accuracy of the NLP parser.

Electronic implementation of national nursing standards--NANDA, NOC and NIC as an effective teaching tool.

PubMed

Allred, Sharon K; Smith, Kevin F; Flowers, Laura

2004-01-01

With the increased interest in evidence-based medicine, Internet access and the growing emphasis on national standards, there is an increased challenge for teaching institutions and nursing services to teach and implement standards. At the same time, electronic clinical documentation tools have started to become a common format for recording nursing notes. The major aim of this paper is to ascertain and assess the availability of clinical nursing tools based on the NANDA, NOC and NIC standards. Faculty at 20 large nursing schools and directors of nursing at 20 hospitals were interviewed regarding the use of nursing standards in clinical documentation packages, not only for teaching purposes but also for use in hospital-based systems to ensure patient safety. A survey tool was utilized that covered questions regarding what nursing standards are being taught in the nursing schools, what standards are encouraged by the hospitals, and teaching initiatives that include clinical documentation tools. Information was collected on how utilizing these standards in a clinical or hospital setting can improve the overall quality of care. Analysis included univariate and bivariate analysis. The consensus between both groups was that the NANDA, NOC and NIC national standards are the most widely taught and utilized. In addition, a training initiative was identified within a large university where a clinical documentation system based on these standards was developed utilizing handheld devices.

Can physicians recognize their own patients in de-identified notes?

PubMed

Meystre, Stéphane; Shen, Shuying; Hofmann, Deborah; Gundlapalli, Adi

2014-01-01

The adoption of Electronic Health Records is growing at a fast pace, and this growth results in very large quantities of patient clinical information becoming available in electronic format, with tremendous potentials, but also equally growing concern for patient confidentiality breaches. De-identification of patient information has been proposed as a solution to both facilitate secondary uses of clinical information, and protect patient information confidentiality. Automated approaches based on Natural Language Processing have been implemented and evaluated, allowing for much faster text de-identification than manual approaches. A U.S. Veterans Affairs clinical text de-identification project focused on investigating the current state of the art of automatic clinical text de-identification, on developing a best-of-breed de-identification application for clinical documents, and on evaluating its impact on subsequent text uses and the risk for re-identification. To evaluate this risk, we de-identified discharge summaries from 86 patients using our 'best-of-breed' text de-identification application with resynthesis of the identifiers detected. We then asked physicians working in the ward the patients were hospitalized in if they could recognize these patients when reading the de-identified documents. Each document was examined by at least one resident and one attending physician, and with 4.65% of the documents, physicians thought they recognized the patient because of specific clinical information, but after verification, none was correctly re-identified.

Development of an optical character recognition pipeline for handwritten form fields from an electronic health record.

PubMed

Rasmussen, Luke V; Peissig, Peggy L; McCarty, Catherine A; Starren, Justin

2012-06-01

Although the penetration of electronic health records is increasing rapidly, much of the historical medical record is only available in handwritten notes and forms, which require labor-intensive, human chart abstraction for some clinical research. The few previous studies on automated extraction of data from these handwritten notes have focused on monolithic, custom-developed recognition systems or third-party systems that require proprietary forms. We present an optical character recognition processing pipeline, which leverages the capabilities of existing third-party optical character recognition engines, and provides the flexibility offered by a modular custom-developed system. The system was configured and run on a selected set of form fields extracted from a corpus of handwritten ophthalmology forms. The processing pipeline allowed multiple configurations to be run, with the optimal configuration consisting of the Nuance and LEADTOOLS engines running in parallel with a positive predictive value of 94.6% and a sensitivity of 13.5%. While limitations exist, preliminary experience from this project yielded insights on the generalizability and applicability of integrating multiple, inexpensive general-purpose third-party optical character recognition engines in a modular pipeline.

Development of an optical character recognition pipeline for handwritten form fields from an electronic health record

PubMed Central

Peissig, Peggy L; McCarty, Catherine A; Starren, Justin

2011-01-01

Background Although the penetration of electronic health records is increasing rapidly, much of the historical medical record is only available in handwritten notes and forms, which require labor-intensive, human chart abstraction for some clinical research. The few previous studies on automated extraction of data from these handwritten notes have focused on monolithic, custom-developed recognition systems or third-party systems that require proprietary forms. Methods We present an optical character recognition processing pipeline, which leverages the capabilities of existing third-party optical character recognition engines, and provides the flexibility offered by a modular custom-developed system. The system was configured and run on a selected set of form fields extracted from a corpus of handwritten ophthalmology forms. Observations The processing pipeline allowed multiple configurations to be run, with the optimal configuration consisting of the Nuance and LEADTOOLS engines running in parallel with a positive predictive value of 94.6% and a sensitivity of 13.5%. Discussion While limitations exist, preliminary experience from this project yielded insights on the generalizability and applicability of integrating multiple, inexpensive general-purpose third-party optical character recognition engines in a modular pipeline. PMID:21890871

Survey of Sensitive Information Written in Patient Notes by Psychiatry Trainees

ERIC Educational Resources Information Center

Kung, Simon; Lapid, Maria I.; Swintak, Cosima C.; Agarwal, Zubin; Ryan, Susan M.; Lineberry, Timothy W.

2013-01-01

Objective: Allowing psychiatric patients access to their electronic medical record (EMR) may cause difficulty related to the sensitivity of the note content. The authors investigated whether notes written by psychiatry trainees were ready for release to patients. Methods: Authors conducted a review of 128 PGY-3 to PGY-5 outpatient notes not…

Determining Primary Care Physician Information Needs to Inform Ambulatory Visit Note Display

PubMed Central

Clarke, M.A.; Steege, L.M.; Moore, J.L.; Koopman, R.J.; Belden, J.L.; Kim, M.S.

2014-01-01

Summary Background With the increase in the adoption of electronic health records (EHR) across the US, primary care physicians are experiencing information overload. The purpose of this pilot study was to determine the information needs of primary care physicians (PCPs) as they review clinic visit notes to inform EHR display. Method Data collection was conducted with 15 primary care physicians during semi-structured interviews, including a third party observer to control bias. Physicians reviewed major sections of an artificial but typical acute and chronic care visit note to identify the note sections that were relevant to their information needs. Statistical methods used were McNemar-Mosteller’s and Cochran Q. Results Physicians identified History of Present Illness (HPI), Assessment, and Plan (A&P) as the most important sections of a visit note. In contrast, they largely judged the Review of Systems (ROS) to be superfluous. There was also a statistical difference in physicians’ highlighting among all seven major note sections in acute (p = 0.00) and chronic (p = 0.00) care visit notes. Conclusion A&P and HPI sections were most frequently identified as important which suggests that physicians may have to identify a few key sections out of a long, unnecessarily verbose visit note. ROS is viewed by doctors as mostly “not needed,” but can have relevant information. The ROS can contain information needed for patient care when other sections of the Visit note, such as the HPI, lack the relevant information. Future studies should include producing a display that provides only relevant information to increase physician efficiency at the point of care. Also, research on moving A&P to the top of visit notes instead of having A&P at the bottom of the page is needed, since those are usually the first sections physicians refer to and reviewing from top to bottom may cause cognitive load. PMID:24734131

Physicians in nonprimary care and small practices and those age 55 and older lag in adopting electronic health record systems.

PubMed

Decker, Sandra L; Jamoom, Eric W; Sisk, Jane E

2012-05-01

By 2011 more than half of all office-based physicians were using electronic health record systems, but only about one-third of those physicians had systems with basic features such as the abilities to record information on patient demographics, view laboratory and imaging results, maintain problem lists, compile clinical notes, or manage computerized prescription ordering. Basic features are considered important to realize the potential of these systems to improve health care. We found that although trends in adoption of electronic health record systems across geographic regions converged from 2002 through 2011, adoption continued to lag for non-primary care specialists, physicians age fifty-five and older, and physicians in small (1-2 providers) and physician-owned practices. Federal policies are specifically aimed at encouraging primary care providers and small practices to achieve widespread use of electronic health records. To achieve their nationwide adoption, federal policies may also have to focus on encouraging adoption among non-primary care specialists, as well as addressing persistent gaps in the use of electronic record systems by practice size, physician age, and ownership status.

Electronic patient record use during ward rounds: a qualitative study of interaction between medical staff.

PubMed

Morrison, Cecily; Jones, Matthew; Blackwell, Alan; Vuylsteke, Alain

2008-01-01

Electronic patient records are becoming more common in critical care. As their design and implementation are optimized for single users rather than for groups, we aimed to understand the differences in interaction between members of a multidisciplinary team during ward rounds using an electronic, as opposed to paper, patient medical record. A qualitative study of morning ward rounds of an intensive care unit that triangulates data from video-based interaction analysis, observation, and interviews. Our analysis demonstrates several difficulties the ward round team faced when interacting with each other using the electronic record compared with the paper one. The physical setup of the technology may impede the consultant's ability to lead the ward round and may prevent other clinical staff from contributing to discussions. We discuss technical and social solutions for minimizing the impact of introducing an electronic patient record, emphasizing the need to balance both. We note that awareness of the effects of technology can enable ward-round teams to adapt their formations and information sources to facilitate multidisciplinary communication during the ward round.

Electronic patient record use during ward rounds: a qualitative study of interaction between medical staff

PubMed Central

Morrison, Cecily; Jones, Matthew; Blackwell, Alan; Vuylsteke, Alain

2008-01-01

Introduction Electronic patient records are becoming more common in critical care. As their design and implementation are optimized for single users rather than for groups, we aimed to understand the differences in interaction between members of a multidisciplinary team during ward rounds using an electronic, as opposed to paper, patient medical record. Methods A qualitative study of morning ward rounds of an intensive care unit that triangulates data from video-based interaction analysis, observation, and interviews. Results Our analysis demonstrates several difficulties the ward round team faced when interacting with each other using the electronic record compared with the paper one. The physical setup of the technology may impede the consultant's ability to lead the ward round and may prevent other clinical staff from contributing to discussions. Conclusions We discuss technical and social solutions for minimizing the impact of introducing an electronic patient record, emphasizing the need to balance both. We note that awareness of the effects of technology can enable ward-round teams to adapt their formations and information sources to facilitate multidisciplinary communication during the ward round. PMID:19025662

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions.

PubMed

Sohn, Sunghwan; Wang, Yanshan; Wi, Chung-Il; Krusemark, Elizabeth A; Ryu, Euijung; Ali, Mir H; Juhn, Young J; Liu, Hongfang

2017-11-30

To assess clinical documentation variations across health care institutions using different electronic medical record systems and investigate how they affect natural language processing (NLP) system portability. Birth cohorts from Mayo Clinic and Sanford Children's Hospital (SCH) were used in this study (n = 298 for each). Documentation variations regarding asthma between the 2 cohorts were examined in various aspects: (1) overall corpus at the word level (ie, lexical variation), (2) topics and asthma-related concepts (ie, semantic variation), and (3) clinical note types (ie, process variation). We compared those statistics and explored NLP system portability for asthma ascertainment in 2 stages: prototype and refinement. There exist notable lexical variations (word-level similarity = 0.669) and process variations (differences in major note types containing asthma-related concepts). However, semantic-level corpora were relatively homogeneous (topic similarity = 0.944, asthma-related concept similarity = 0.971). The NLP system for asthma ascertainment had an F-score of 0.937 at Mayo, and produced 0.813 (prototype) and 0.908 (refinement) when applied at SCH. The criteria for asthma ascertainment are largely dependent on asthma-related concepts. Therefore, we believe that semantic similarity is important to estimate NLP system portability. As the Mayo Clinic and SCH corpora were relatively homogeneous at a semantic level, the NLP system, developed at Mayo Clinic, was imported to SCH successfully with proper adjustments to deal with the intrinsic corpus heterogeneity. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Patients' Positive and Negative Responses to Reading Mental Health Clinical Notes Online.

PubMed

Denneson, Lauren M; Chen, Jason I; Pisciotta, Maura; Tuepker, Anais; Dobscha, Steven K

2018-05-01

This study describes responses to OpenNotes, clinical notes available online, among patients receiving mental health care and explores whether responses vary by patient demographic or clinical characteristics. Survey data from 178 veterans receiving mental health treatment at a large Veterans Affairs medical center included patient-reported health self-efficacy, health knowledge, alliance with clinicians, and negative emotional responses after reading OpenNotes. Health care data were extracted from the patient care database. Reading OpenNotes helped many participants feel in control of their health care (49%) and have more trust in clinicians (45%), although a few (8%) frequently felt upset after reading their notes. In multivariate models, posttraumatic stress disorder was associated with increased patient-clinician alliance (p=.046) but also with negative emotional responses (p<.01). Patients receiving mental health care frequently reported benefits from reading OpenNotes, yet some experienced negative responses.

Regulating genetic privacy in the online health information era.

PubMed

Magnusson, Roger S

As the clinical implications of the genetic components of disease come to be better understood, there is likely to be a significant increase in the volume of genetic information held within clinical records. As patient health care records, in turn, come on-line as part of broader health information networks, there is likely to be considerable pressure in favour of special laws protecting genetic privacy. This paper reviews some of the privacy challenges posed by electronic health records, some government initiatives in this area, and notes the impact that developments in genetic testing will have upon the 'genetic content' of e-health records. Despite the sensitivity of genetic information, the paper argues against a policy of 'genetic exceptionalism', and its implications for genetic privacy laws.

[The clinical view through the Archives: the clinical notes of 2009].

PubMed

Samolski, Daniel; Martín Robles, Irene; Castillo Villegas, Diego

2010-12-01

The Clinical Notes published in 2009 serve as a resource to reflect on clinical aspects relevant to different clinical entities. Through this review an attempt is likewise made to bring the reader closer to the clinical reality of our environment. Copyright © 2010 SEPAR. Published by Elsevier Espana. All rights reserved.

Semantic characteristics of NLP-extracted concepts in clinical notes vs. biomedical literature.

PubMed

Wu, Stephen; Liu, Hongfang

2011-01-01

Natural language processing (NLP) has become crucial in unlocking information stored in free text, from both clinical notes and biomedical literature. Clinical notes convey clinical information related to individual patient health care, while biomedical literature communicates scientific findings. This work focuses on semantic characterization of texts at an enterprise scale, comparing and contrasting the two domains and their NLP approaches. We analyzed the empirical distributional characteristics of NLP-discovered named entities in Mayo Clinic clinical notes from 2001-2010, and in the 2011 MetaMapped Medline Baseline. We give qualitative and quantitative measures of domain similarity and point to the feasibility of transferring resources and techniques. An important by-product for this study is the development of a weighted ontology for each domain, which gives distributional semantic information that may be used to improve NLP applications.

To what extent do clinical notes by general practitioners reflect actual medical performance? A study using simulated patients.

PubMed Central

Rethans, J J; Martin, E; Metsemakers, J

1994-01-01

BACKGROUND. Review of clinical notes is used extensively as an indirect method of assessing doctors' performance. However, to be acceptable it must be valid. AIM. This study set out to examine the extent to which clinical notes in medical records of general practice consultations reflected doctors' actual performance during consultations. METHOD. Thirty nine general practitioners in the Netherlands were consulted by four simulated patients who were indistinguishable from real patients and who reported on the consultations. The complaints presented by the simulated patients were tension headache, acute diarrhoea and pain in the shoulder, and one presented for a check up for non-insulin dependent diabetes. Later, the doctors forwarded their medical records of these patients to the researchers. Content of consultations was measured against accepted standards for general practice and then compared with content of clinical notes. An index, or content score, was calculated as the measure of agreement between actions which had actually been recorded and actions which could have been recorded in the clinical notes. A high content score reflected a consultation which had been recorded well in the medical record. The correlation between number of actions across the four complaints recorded in the clinical notes and number of actions taken during the consultations was also calculated. RESULTS. The mean content score (interquartile range) for the four types of complaint was 0.32 (0.27-0.37), indicating that of all actions undertaken, only 32% had been recorded. However, mean content scores for the categories 'medication and therapy' and 'laboratory examination' were much higher than for the categories 'history' and 'guidance and advice' (0.68 and 0.64, respectively versus 0.29 and 0.22, respectively). The correlation between number of actions across the four complaints recorded in the clinical notes and number of actions taken during the consultations was 0.54 (P < 0.05). CONCLUSION. The use of clinical notes to audit doctors' performance in Dutch general practice is invalid. However, the use of clinical notes to rank doctors according to those who perform many or a few actions in a consultation may be justified. PMID:8185988

Classifying clinical notes with pain assessment using machine learning.

PubMed

Fodeh, Samah Jamal; Finch, Dezon; Bouayad, Lina; Luther, Stephen L; Ling, Han; Kerns, Robert D; Brandt, Cynthia

2017-12-26

Pain is a significant public health problem, affecting millions of people in the USA. Evidence has highlighted that patients with chronic pain often suffer from deficits in pain care quality (PCQ) including pain assessment, treatment, and reassessment. Currently, there is no intelligent and reliable approach to identify PCQ indicators inelectronic health records (EHR). Hereby, we used unstructured text narratives in the EHR to derive pain assessment in clinical notes for patients with chronic pain. Our dataset includes patients with documented pain intensity rating ratings > = 4 and initial musculoskeletal diagnoses (MSD) captured by (ICD-9-CM codes) in fiscal year 2011 and a minimal 1 year of follow-up (follow-up period is 3-yr maximum); with complete data on key demographic variables. A total of 92 patients with 1058 notes was used. First, we manually annotated qualifiers and descriptors of pain assessment using the annotation schema that we previously developed. Second, we developed a reliable classifier for indicators of pain assessment in clinical note. Based on our annotation schema, we found variations in documenting the subclasses of pain assessment. In positive notes, providers mostly documented assessment of pain site (67%) and intensity of pain (57%), followed by persistence (32%). In only 27% of positive notes, did providers document a presumed etiology for the pain complaint or diagnosis. Documentation of patients' reports of factors that aggravate pain was only present in 11% of positive notes. Random forest classifier achieved the best performance labeling clinical notes with pain assessment information, compared to other classifiers; 94, 95, 94, and 94% was observed in terms of accuracy, PPV, F1-score, and AUC, respectively. Despite the wide spectrum of research that utilizes machine learning in many clinical applications, none explored using these methods for pain assessment research. In addition, previous studies using large datasets to detect and analyze characteristics of patients with various types of pain have relied exclusively on billing and coded data as the main source of information. This study, in contrast, harnessed unstructured narrative text data from the EHR to detect pain assessment clinical notes. We developed a Random forest classifier to identify clinical notes with pain assessment information. Compared to other classifiers, ours achieved the best results in most of the reported metrics. Graphical abstract Framework for detecting pain assessment in clinical notes.

Towards linking patients and clinical information: detecting UMLS concepts in e-mail.

PubMed

Brennan, Patricia Flatley; Aronson, Alan R

2003-01-01

The purpose of this project is to explore the feasibility of detecting terms within the electronic messages of patients that could be used to effectively search electronic knowledge resources and bring health information resources into the hands of patients. Our team is exploring the application of the natural language processing (NLP) tools built within the Lister Hill Center at the National Library of Medicine (NLM) to the challenge of detecting relevant concepts from the Unified Medical Language System (UMLS) within the free text of lay people's electronic messages (e-mail). We obtained a sample of electronic messages sent by patients participating in a randomized field evaluation of an internet-based home care support service to the project nurse, and we subjected elements of these messages to a series of analyses using several vocabularies from the UMLS Metathesaurus and the selected NLP tools. The nursing vocabularies provide an excellent starting point for this exercise because their domain encompasses patient's responses to health challenges. In successive runs we augmented six nursing vocabularies (NANDA Nursing Diagnosis, Nursing Interventions Classification, Nursing Outcomes Classification, Home Health Classification, Omaha System, and the Patient Care Data Set) with selected sets of clinical terminologies (International Classification of Primary Care; International Classification of Primary Care- American English; Micromedex DRUGDEX; National Drug Data File; Thesaurus of Psychological Terms; WHO Adverse Drug Reaction Terminology) and then additionally with either Medical Subject Heading (MeSH) or SNOMED International terms. The best performance was obtained when the nursing vocabularies were complemented with selected clinical terminologies. These findings have implications not only for facilitating lay people's access to electronic knowledge resources but may also be of assistance in developing new tools to aid in linking free text (e.g., clinical notes) to lexically complex knowledge resources such as those emerging from the Human Genome Project.

Hemochromatosis caused by excessive vitamin iron intake.

PubMed Central

Hennigar, G. R.; Greene, W. B.; Walker, E. M.; de Saussure, C.

1979-01-01

Rare cases of hemochromatosis have been reported in patients who underwent prolonged oral iron therapy for hemolytic anemia or prolonged self-treatment with iron pills. A proportionately large segment of the South African Bantu tribe, who ingest large quantities of an alcoholic beverage brewed in iron pots, are found to have the disease. Reports of health fadists developing hemochromatosis due to excessive dietary iron intake, however, are extremely rare. This report presents clinical considerations and pathologic findings in a compulsive health fadist who consumed large numbers of vitamins containing iron. Clinical findings included the development and progression of cirrhosis of the liver, bronzing of the skin, and diabetes mellitus, all consistent with a diagnosis of hemochromatosis. Light microscopy of liver biopsies taken late in the course of the disease revealed a massive buildup of iron in the hepatocytes, less in the Kupffer cells, and sparse deposition in the epithelial cells of the bile duct. Minimal periportal fibrosis was noted. Electron microscopy showed numerous pleomorphic siderosomes with varying degrees of crystallization and ferritin attached at uniform intervals to the membranes of residual bodies. Abundant free ferritin was observed in most cells. The aggregated and membrane-associated ferritin was verified by non-dispersive x-ray analysis. An additional finding, noted only by electron microscopy, was the presence of many fat-storing cells of Ito, which are thought to be involved in the onset of fibrosis. Images Figure 11 Figure 12 Figure 5 Figure 6 Figure 1 Figure 2 Figure 3 Figure 4 Figure 7 Figure 8 Figure 9 Figure 10 PMID:474711

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.

PubMed

Li, Qi; Melton, Kristin; Lingren, Todd; Kirkendall, Eric S; Hall, Eric; Zhai, Haijun; Ni, Yizhao; Kaiser, Megan; Stoutenborough, Laura; Solti, Imre

2014-01-01

Although electronic health records (EHRs) have the potential to provide a foundation for quality and safety algorithms, few studies have measured their impact on automated adverse event (AE) and medical error (ME) detection within the neonatal intensive care unit (NICU) environment. This paper presents two phenotyping AE and ME detection algorithms (ie, IV infiltrations, narcotic medication oversedation and dosing errors) and describes manual annotation of airway management and medication/fluid AEs from NICU EHRs. From 753 NICU patient EHRs from 2011, we developed two automatic AE/ME detection algorithms, and manually annotated 11 classes of AEs in 3263 clinical notes. Performance of the automatic AE/ME detection algorithms was compared to trigger tool and voluntary incident reporting results. AEs in clinical notes were double annotated and consensus achieved under neonatologist supervision. Sensitivity, positive predictive value (PPV), and specificity are reported. Twelve severe IV infiltrates were detected. The algorithm identified one more infiltrate than the trigger tool and eight more than incident reporting. One narcotic oversedation was detected demonstrating 100% agreement with the trigger tool. Additionally, 17 narcotic medication MEs were detected, an increase of 16 cases over voluntary incident reporting. Automated AE/ME detection algorithms provide higher sensitivity and PPV than currently used trigger tools or voluntary incident-reporting systems, including identification of potential dosing and frequency errors that current methods are unequipped to detect. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to Process Medication Information in Outpatient Clinical Notes

PubMed Central

Zhou, Li; Plasek, Joseph M; Mahoney, Lisa M; Karipineni, Neelima; Chang, Frank; Yan, Xuemin; Chang, Fenny; Dimaggio, Dana; Goldman, Debora S.; Rocha, Roberto A.

2011-01-01

Clinical information is often coded using different terminologies, and therefore is not interoperable. Our goal is to develop a general natural language processing (NLP) system, called Medical Text Extraction, Reasoning and Mapping System (MTERMS), which encodes clinical text using different terminologies and simultaneously establishes dynamic mappings between them. MTERMS applies a modular, pipeline approach flowing from a preprocessor, semantic tagger, terminology mapper, context analyzer, and parser to structure inputted clinical notes. Evaluators manually reviewed 30 free-text and 10 structured outpatient clinical notes compared to MTERMS output. MTERMS achieved an overall F-measure of 90.6 and 94.0 for free-text and structured notes respectively for medication and temporal information. The local medication terminology had 83.0% coverage compared to RxNorm’s 98.0% coverage for free-text notes. 61.6% of mappings between the terminologies are exact match. Capture of duration was significantly improved (91.7% vs. 52.5%) from systems in the third i2b2 challenge. PMID:22195230

NLC Electrical

Science.gov Websites

Racks and Cable Plant Instrumentation Systems Tunnel Electronics Enclosures Low Level RF Beam Positron Electronics Vacuum Electronics (Summary) System Notes NLC Electrical System Work Package Task Descriptions

Open Notes in Swedish Psychiatric Care (Part 2): Survey Among Psychiatric Care Professionals.

PubMed

Petersson, Lena; Erlingsdóttir, Gudbjörg

2018-06-21

This is the second of two papers presenting the results from a study of the implementation of patient online access to their electronic health records (here referred to as Open Notes) in adult psychiatric care in Sweden. The study contributes an important understanding of both the expectations and concerns that existed among health care professionals before the introduction of the Open Notes Service in psychiatry and the perceived impact of the technology on their own work and patient behavior after the implementation. The results from the previously published baseline survey showed that psychiatric health care professionals generally thought that Open Notes would influence both the patients and their own practice negatively. The objective of this study was to describe and discuss how health care professionals in adult psychiatric care in Region Skåne in southern Sweden experienced the influence of Open Notes on their patients and their own practice, and to compare the results with those of the baseline study. We distributed a full population Web-based questionnaire to psychiatric care professionals in Region Skåne in the spring of 2017, which was one and a half years after the implementation of the service. The response rate was 27.73% (699/2521). Analyses showed that the respondents were representative of the staff as a whole. A statistical analysis examined the relationships between health professional groups and attitudes to the Open Notes Service. A total of 41.5% (285/687) of the health care professionals reported that none of their patients stated that they had read their Open Notes. Few health care professionals agreed with the statements about the potential benefits for patients from Open Notes. Slightly more of the health care professionals agreed with the statements about the potential risks. In addition, the results indicate that there was little impact on practice in terms of longer appointments or health care professionals having to address patients' questions outside of appointments. However, the results also indicate that changes had taken place in clinical documentation. Psychologists (39/63, 62%) and doctors (36/94, 38%) in particular stated that they were less candid in their documentation after the implementation of Open Notes. Nearly 40% of the health care professionals (239/650, 36.8%) reported that the Open Notes Service in psychiatry was a good idea. Most health care professionals who responded to the postimplementation survey did not experience that patients in adult psychiatric care had become more involved in their care after the implementation of Open Notes. The results also indicate that the clinical documentation had changed after the implementation of Open Notes. Finally, the results indicate that it is important to prepare health care professionals before an implementation of Open Notes, especially in medical areas where the service is considered sensitive. ©Lena Petersson, Gudbjörg Erlingsdóttir. Originally published in JMIR Mental Health (http://mental.jmir.org), 21.06.2018.

Note: measurement of extreme-short current pulse duration of runaway electron beam in atmospheric pressure air.

PubMed

Tarasenko, V F; Rybka, D V; Burachenko, A G; Lomaev, M I; Balzovsky, E V

2012-08-01

This note reports the time-amplitude characteristic of the supershort avalanche electron beam with up to 20 ps time resolution. For the first time it is shown that the electron beam downstream of small-diameter diaphragms in atmospheric pressure air has a complex structure which depends on the interelectrode gap width and cathode design. With a spherical cathode and collimator the minimum duration at half maximum of the supershort avalanche electron beam current pulse was shown to be ~25 ps. The minimum duration at half maximum of one peak in the pulses with two peaks can reach ~25 ps too.

Development and Evaluation of a Clinical Note Section Header Terminology

PubMed Central

Denny, Joshua C.; Miller, Randolph A.; Johnson, Kevin B.; Spickard, Anderson

2008-01-01

Clinical documentation is often expressed in natural language text, yet providers often use common organizations that segment these notes in sections, such as “history of present illness” or “physical examination.” We developed a hierarchical section header terminology, supporting mappings to LOINC and other vocabularies; it contained 1109 concepts and 4332 synonyms. Physicians evaluated it compared to LOINC and the Evaluation and Management billing schema using a randomly selected corpus of history and physical notes. Evaluated documents contained a median of 54 sections and 27 “major sections.” There were 16,196 total sections in the evaluation note corpus. The terminology contained 99.9% of the clinical sections; LOINC matched 77% of section header concepts and 20% of section header strings in those documents. The section terminology may enable better clinical note understanding and interoperability. Future development and integration into natural language processing systems is needed. PMID:18999303

Electronic warfare antenna systems - Past and present

NASA Astrophysics Data System (ADS)

Yaw, D.

1981-09-01

In discussing fixed beam arrays, it is noted that an array may be used to create simultaneous fixed beams or to form asymmetric beams of a desired shape. Attention is also given to arrays and beam control, noting that for some electronic warfare applications combinations of broad and narrow beam antenna response are needed. Other topics include ECM jamming antenna techniques and advanced array systems.

Note on in situ (scanning) transmission electron microscopy study of liquid samples.

PubMed

Jiang, Nan

2017-08-01

Liquid cell (scanning) transmission electron microscopy has been developed rapidly, using amorphous SiN x membranes as electron transparent windows. The current interpretations of electron beam effects are mainly based on radiolytic processes. In this note, additional effects of the electric field due to electron-beam irradiation are discussed. The electric field can be produced by the charge accumulation due to the emission of secondary and Auger electrons. Besides various beam-induced phenomena, such as nanoparticle precipitation and gas bubble formation and motion, two other effects need to be considered; one is the change of Gibbs free energy of nucleation and the other is the violation of Brownian motion due to ion drifting driven by the electric field. Copyright © 2017 Elsevier B.V. All rights reserved.

Euro-NOTES Status Paper: from the concept to clinical practice.

PubMed

Fuchs, K H; Meining, A; von Renteln, D; Fernandez-Esparrach, G; Breithaupt, W; Zornig, C; Lacy, A

2013-05-01

The concept of natural orifice transluminal endoscopic surgery (NOTES) consists of the reduction of access trauma by using a natural orifice access to the intra-abdominal cavity. This could possibly lead to less postoperative pain, quicker recovery from surgery, fewer postoperative complications, fewer wound infections, and fewer long-term problems such as hernias. The Euro-NOTES Foundation has organized yearly meetings to work on this concept to bring it safely into clinical practice. The aim of this Euro-NOTES status update is to assess the yearly scientific working group reports and provide an overview on the current clinical practice of NOTES procedures. After the Euro-NOTES meeting 2011 in Frankfurt, Germany, an analysis was started regarding the most important topics of the European working groups. All prospectively documented information was gathered from Euro-NOTES and D-NOTES working groups from 2007 to 2011. The top five topics were analyzed. The statements of the working group activities demonstrate the growing information and changing insights. The most important selected topics were infection issue, peritoneal access, education and training, platforms and new technology, closure, suture, and anastomosis. The focus on research topics changed over time. The principle of hybrid access has overcome the technical and safety limitations of pure NOTES. Currently the following NOTES access routes are established for several indications: transvaginal access for cholecystectomy, appendectomy and colon resections; transesophageal access for myotomy; transgastric access for full-thickness small-tumor resections; and transanal/transcolonic access for rectal and colon resections. NOTES and hybrid NOTES techniques have emerged for all natural orifices and were introduced into clinical practice with a good safety record. There are different indications for different natural orifices. Each technique has been optimized for the purpose of finding a safe and realistic solution to perform the procedure according to the specific indication.

Assessing the readability of ClinicalTrials.gov.

PubMed

Wu, Danny T Y; Hanauer, David A; Mei, Qiaozhu; Clark, Patricia M; An, Lawrence C; Proulx, Joshua; Zeng, Qing T; Vydiswaran, V G Vinod; Collins-Thompson, Kevyn; Zheng, Kai

2016-03-01

ClinicalTrials.gov serves critical functions of disseminating trial information to the public and helping the trials recruit participants. This study assessed the readability of trial descriptions at ClinicalTrials.gov using multiple quantitative measures. The analysis included all 165,988 trials registered at ClinicalTrials.gov as of April 30, 2014. To obtain benchmarks, the authors also analyzed 2 other medical corpora: (1) all 955 Health Topics articles from MedlinePlus and (2) a random sample of 100,000 clinician notes retrieved from an electronic health records system intended for conveying internal communication among medical professionals. The authors characterized each of the corpora using 4 surface metrics, and then applied 5 different scoring algorithms to assess their readability. The authors hypothesized that clinician notes would be most difficult to read, followed by trial descriptions and MedlinePlus Health Topics articles. Trial descriptions have the longest average sentence length (26.1 words) across all corpora; 65% of their words used are not covered by a basic medical English dictionary. In comparison, average sentence length of MedlinePlus Health Topics articles is 61% shorter, vocabulary size is 95% smaller, and dictionary coverage is 46% higher. All 5 scoring algorithms consistently rated CliniclTrials.gov trial descriptions the most difficult corpus to read, even harder than clinician notes. On average, it requires 18 years of education to properly understand these trial descriptions according to the results generated by the readability assessment algorithms. Trial descriptions at CliniclTrials.gov are extremely difficult to read. Significant work is warranted to improve their readability in order to achieve CliniclTrials.gov's goal of facilitating information dissemination and subject recruitment. Published by Oxford University Press on behalf of the American Medical Informatics Association 2015. This work is written by US Government employees and is in the public domain in the US.

Structured clinical documentation in the electronic medical record to improve quality and to support practice-based research in epilepsy.

PubMed

Narayanan, Jaishree; Dobrin, Sofia; Choi, Janet; Rubin, Susan; Pham, Anna; Patel, Vimal; Frigerio, Roberta; Maurer, Darryck; Gupta, Payal; Link, Lourdes; Walters, Shaun; Wang, Chi; Ji, Yuan; Maraganore, Demetrius M

2017-01-01

Using the electronic medical record (EMR) to capture structured clinical data at the point of care would be a practical way to support quality improvement and practice-based research in epilepsy. We describe our stepwise process for building structured clinical documentation support tools in the EMR that define best practices in epilepsy, and we describe how we incorporated these toolkits into our clinical workflow. These tools write notes and capture hundreds of fields of data including several score tests: Generalized Anxiety Disorder-7 items, Neurological Disorders Depression Inventory for Epilepsy, Epworth Sleepiness Scale, Quality of Life in Epilepsy-10 items, Montreal Cognitive Assessment/Short Test of Mental Status, and Medical Research Council Prognostic Index. The tools summarize brain imaging, blood laboratory, and electroencephalography results, and document neuromodulation treatments. The tools provide Best Practices Advisories and other clinical decision support when appropriate. The tools prompt enrollment in a DNA biobanking study. We have thus far enrolled 231 patients for initial visits and are starting our first annual follow-up visits and provide a brief description of our cohort. We are sharing these EMR tools and captured data with other epilepsy clinics as part of a Neurology Practice Based Research Network, and are using the tools to conduct pragmatic trials using subgroup-based adaptive designs. © 2016 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of International League Against Epilepsy.

Medical Student Appraisal

PubMed Central

Sampognaro, P.J.; Mitchell, S.L.; Weeks, S.R.; Khalifian, S.; Markman, T.M.; Uebel, L.W.; Dattilo, J.R.

2013-01-01

Summary Background Pre-rounding is essential to preparing for morning rounds. Despite its importance, pre-rounding is rarely formally taught within the medical school curriculum and more often informally learned by modeling residents. The evolution of mobile applications provides opportunities to optimize this process. Objectives To evaluate three options available to medical students while pre-rounding and promote adoption of mobile resources in clinical care. Methods Six medical students formed the evaluation cohort. Students were surveyed to assess pre-rounding practices. Participants utilized paper-based pre-rounding templates for two weeks followed by two weeks of the electronic note-taking service EvernoteTM. A review of mobile applications on the iTunesTM and Google PlayTM stores was performed, with each application informally reviewed by a single student. The application ScutsheetTM was selected for formal review by all students. Data was collected from narrative responses supplied by students throughout the evaluation periods and aggregated to assess strengths and limitations of each application. Results Pre-study responses demonstrated two consistent processes: verbal sign-out of overnight events and template use to organize patient information. The paper-based template was praised for its organization and familiarity amongst residents, but perceived as limited by the requirement of re-copying data into the hospital’s electronic medical record (EMR). EvernoteTM excelled due to compatibility across multiple operating systems, including accessibility from clinical workstations and ability to copy notes into the hospital’s EMR. ScutsheetTM allowed for retention of data across multiple hospital days, but was limited by inability to export data or modify the electronic template. Aggregated user feedback identified the abilities to customize templates and copy information into the EMR as two prevailing characteristics that enhanced the efficiency of pre-rounding. Discussion Mobile devices offer the potential to enhance pre-rounding efficiency for medical students and residents. A customizable EvernoteTM-based system is described in sufficient detail for reproduction by interested students. PMID:24155792

The essential SOAP note in an EHR age.

PubMed

Pearce, Patricia F; Ferguson, Laurie Anne; George, Gwen S; Langford, Cynthia A

2016-02-18

This article reviews the traditional Subjective, Objective, Assessment, and Plan (SOAP) note documentation format. The information in the SOAP note is useful to both providers and students for history taking and physical exam, and highlights the importance of including critical documentation details with or without an electronic health record.

Surveillance of contrast-media-induced hypersensitivity reactions using signals from an electronic medical recording system.

PubMed

Kim, Min-Hye; Park, Chang-Han; Kim, Duk-In; Kim, Kyung-Mook; Kim, Hui-Kyu; Lim, Kyu-Hyoung; Song, Woo-Jung; Lee, Sang-Min; Kim, Sae-Hoon; Kwon, Hyouk-Soo; Park, Heung-Woo; Yoon, Chang-Jin; Cho, Sang-Heon; Min, Kyung-Up; Kim, You-Young; Chang, Yoon-Seok

2012-03-01

Contrast-media (CM) hypersensitivity is a well-known adverse drug reaction. Surveillance of adverse drug reactions usually depends on spontaneous reports. However, the rate of spontaneous reports is low. Recent progress in information technology enables the electronic search on signals of adverse drug reactions from electronic medical recording (EMR) systems. To analyze the incidence and clinical characteristics of CM hypersensitivity using an EMR-based surveillance system. The surveillance system used signals from standardized terms within the international classification of nursing practice terms that can indicate symptoms of CM hypersensitivity and from the order codes for procedures that used contrast media, antihistamine, and epinephrine. The search strategy was validated by allergists comparing the electronic search strategy versus manually reviewing medical charts over one month. The main study covered for one year period. Detection rate of the electronic search method was 0.9% (7/759), while that of the manual search method was 0.8% (6/759). EMR-based electronic search method was highly efficient: reduced the charts that needed to be reviewed by 96% (28/759). The sensitivity of electronic screening was 66.7%, specificity was 99.6%, and the negative predictive value was 99.7%. CM hypersensitivity reactions were noted in 266 among 12,483 cases (2.1%). Urticaria was the most frequent symptom (74.4%). CT was the most frequent procedure (3.6%) that induced CM hypersensitivity. A surveillance system using EMR may be a useful tool in the study of drug hypersensitivity epidemiology and may be used in an adverse drug reaction alarm system and as a clinical, decision making support system. Copyright © 2012 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

The Feasibility of Using Large-Scale Text Mining to Detect Adverse Childhood Experiences in a VA-Treated Population.

PubMed

Hammond, Kenric W; Ben-Ari, Alon Y; Laundry, Ryan J; Boyko, Edward J; Samore, Matthew H

2015-12-01

Free text in electronic health records resists large-scale analysis. Text records facts of interest not found in encoded data, and text mining enables their retrieval and quantification. The U.S. Department of Veterans Affairs (VA) clinical data repository affords an opportunity to apply text-mining methodology to study clinical questions in large populations. To assess the feasibility of text mining, investigation of the relationship between exposure to adverse childhood experiences (ACEs) and recorded diagnoses was conducted among all VA-treated Gulf war veterans, utilizing all progress notes recorded from 2000-2011. Text processing extracted ACE exposures recorded among 44.7 million clinical notes belonging to 243,973 veterans. The relationship of ACE exposure to adult illnesses was analyzed using logistic regression. Bias considerations were assessed. ACE score was strongly associated with suicide attempts and serious mental disorders (ORs = 1.84 to 1.97), and less so with behaviorally mediated and somatic conditions (ORs = 1.02 to 1.36) per unit. Bias adjustments did not remove persistent associations between ACE score and most illnesses. Text mining to detect ACE exposure in a large population was feasible. Analysis of the relationship between ACE score and adult health conditions yielded patterns of association consistent with prior research. Copyright © 2015 International Society for Traumatic Stress Studies.

Natural orifice translumenal endoscopic surgery: Progress in humans since white paper

PubMed Central

Santos, Byron F; Hungness, Eric S

2011-01-01

Since the first description of the concept of natural orifice translumenal endoscopic surgery (NOTES), a substantial number of clinical NOTES reports have appeared in the literature. This editorial reviews the available human data addressing research questions originally proposed by the white paper, including determining the optimal method of access for NOTES, developing safe methods of lumenal closure, suturing and anastomotic devices, advanced multitasking platforms, addressing the risk of infection, managing complications, addressing challenges with visualization, and training for NOTES procedures. An analysis of the literature reveals that so far transvaginal access and closure appear to be the most feasible techniques for NOTES, with a limited, but growing transgastric, transrectal, and transesophageal NOTES experience in humans. The theoretically increased risk of infection as a result of NOTES procedures has not been substantiated in transvaginal and transgastric procedures so far. Development of suturing and anastomotic devices and advanced platforms for NOTES has progressed slowly, with limited clinical data on their use so far. Data on the optimal management and incidence of intraoperative complications remain sparse, although possible factors contributing to complications are discussed. Finally, this editorial discusses the likely direction of future NOTES development and its possible role in clinical practice. PMID:21483624

Opportunities and challenges in integrating electronic health records into undergraduate medical education: a national survey of clerkship directors.

PubMed

Hammoud, Maya M; Margo, Katherine; Christner, Jennifer G; Fisher, Jonathan; Fischer, Shira H; Pangaro, Louis N

2012-01-01

Few studies have reported on the utilization and the effect of electronic health records on the education of medical students. The purpose of this study was to describe the current use of electronic health records by medical students in the United States and explore the opportunities and challenges of integrating electronic health records into daily teaching of medical students. A survey with 24 questions regarding the use of electronic health records by medical students was developed by the Alliance for Clinical Educators and sent to clerkship directors across the United States. Both quantitative and qualitative responses were collected and analyzed to determine current access to and use of electronic health records by medical students. This study found that an estimated 64% of programs currently allow student use of electronic health records, of which only two thirds allowed students to write notes within the electronic record. Overall, clerkship directors' opinions on the effects of electronic health records on medical student education were neutral, and despite acknowledging many advantages to electronic health records, there were many concerns raised regarding their use in education. Medical students are using electronic health records at higher rates than physicians in practice. Although this is overall reassuring, educators have to be cautious about the limitations being placed on student's documentation in electronic health records as this can potentially have consequences on their training, and they need to explore ways to maximize the benefits of electronic health records in medical education.

Recruitment and accrual of women in a randomized controlled trial of spinal manipulation.

PubMed

Cambron, J A

2001-02-01

To report on recruitment efforts and accrual rates for a nonmusculoskeletal chiropractic clinical trial. Information regarding the method of recruitment was collected for each individual who responded to an advertisement and completed an interviewer-administered telephone screening. A suburban chiropractic teaching clinic with recruitment efforts extending throughout the larger metropolitan area. A total of 2312 women were screened for participation and the advertisement source was noted for each. Of these, 138 women were recruited and fulfilled all study requirements. The numbers of responses and accrual rates were determined for 8 different recruitment methods: newspaper advertisements, community referrals, radio advertisements, community colleges, press releases, a community electronic sign, public television, and local posters. The most effective recruitment methods were newspaper advertisements, community referrals, and radio advertisements; the least effective methods were public television and local posters. The effort required for the recruitment of subjects was underestimated in this study. Based on the information gained, future recruitment methods for study participants will primarily focus on low-effort, high-yield methods such as newspaper and radio advertising, followed by press releases, campus electronic signs, and public television.

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

PubMed Central

Yu, Hong

2017-01-01

Background Electronic health records (EHRs) are a rich resource for developing applications to engage patients and foster patient activation, thus holding a strong potential to enhance patient-centered care. Studies have shown that providing patients with access to their own EHR notes may improve the understanding of their own clinical conditions and treatments, leading to improved health care outcomes. However, the highly technical language in EHR notes impedes patients’ comprehension. Numerous studies have evaluated the difficulty of health-related text using readability formulas such as Flesch-Kincaid Grade Level (FKGL), Simple Measure of Gobbledygook (SMOG), and Gunning-Fog Index (GFI). They conclude that the materials are often written at a grade level higher than common recommendations. Objective The objective of our study was to explore the relationship between the aforementioned readability formulas and the laypeople’s perceived difficulty on 2 genres of text: general health information and EHR notes. We also validated the formulas’ appropriateness and generalizability on predicting difficulty levels of highly complex technical documents. Methods We collected 140 Wikipedia articles on diabetes and 242 EHR notes with diabetes International Classification of Diseases, Ninth Revision code. We recruited 15 Amazon Mechanical Turk (AMT) users to rate difficulty levels of the documents. Correlations between laypeople’s perceived difficulty levels and readability formula scores were measured, and their difference was tested. We also compared word usage and the impact of medical concepts of the 2 genres of text. Results The distributions of both readability formulas’ scores (P<.001) and laypeople’s perceptions (P=.002) on the 2 genres were different. Correlations of readability predictions and laypeople’s perceptions were weak. Furthermore, despite being graded at similar levels, documents of different genres were still perceived with different difficulty (P<.001). Word usage in the 2 related genres still differed significantly (P<.001). Conclusions Our findings suggested that the readability formulas’ predictions did not align with perceived difficulty in either text genre. The widely used readability formulas were highly correlated with each other but did not show adequate correlation with readers’ perceived difficulty. Therefore, they were not appropriate to assess the readability of EHR notes. PMID:28254738

Molecular ferroelectrics: where electronics meet biology

PubMed Central

Li, Jiangyu; Liu, Yuanming; Zhang, Yanhang; Cai, Hong-Ling; Xiong, Ren-Gen

2013-01-01

In the last several years, we have witnessed significant advances in molecular ferroelectrics, with ferroelectric properties of molecular crystals approaching those of barium titanate. In addition, ferroelectricity has been observed in biological systems, filling an important missing link in bioelectric phenomena. In this perspective, we will present short historical notes on ferroelectrics, followed by overview on the fundamentals of ferroelectricity. Latest development in molecular ferroelectrics and biological ferroelectricity will then be highlighted, and their implications and potential applications will be discussed. We close by noting molecular ferroelectric as an exciting frontier between electronics and biology, and a number of challenges ahead are also noted. PMID:24018952

Detection of erythrocyte membrane structural abnormalities in lecithin: cholesterol acyltransferase deficiency using a spin label approach.

PubMed

Maraviglia, B; Herring, F G; Weeks, G; Godin, D V

1979-01-01

The membrane fluidity of erythrocytes from patients with Lecithin: cholesterol acyltransferase (LCAT) deficiency was studied by means of electron spin resonance. The temperature dependence of the separation of the outer extrema of the spectra of 2-(3-carboxy-propyl)-4,4-dimethyl, 2-tridecyl-3-oxazolidinyloxyl spin probe was monitored for normal, presumed carrier and clinically affected subjects. The temperature profile of controls was significantly different from that of the presumed carriers and the clinically affected individuals. The results show that the compositional abnormalities previously noted in erythrocyte membranes from patients with LCAT deficiency are associated with alterations in the physiocochemical state of the membrane. An investigation of the spectral lineshapes below 10 degrees C allowed a distinction to be made at the membrane level between clinically affected subjects and clinically normal heterozygous carriers. Alterations in the temperature dependence of elec-ron spin resonance parameters may provide a sensitive index of red cell membrane alterations in pathological states of generalized membrane involvement.

77 FR 20123 - Fee Change for Paying Agents Redeeming Definitive Savings Bonds and Savings Notes

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-03

... notes from the EZ CLEAR process to an existing image-based process through the Federal Reserve. This simple and modern process allows paying agents to electronically transmit images of redeemed definitive savings bonds and savings notes to a Federal Reserve Processing Site for payment. Because the new process...

Collaborative Note-Taking: The Impact of Cloud Computing on Classroom Performance

ERIC Educational Resources Information Center

Orndorff, Harold N., III.

2015-01-01

This article presents the early findings of an experimental design to see if students perform better when taking collaborative notes in small groups as compared to students who use traditional notes. Students are increasingly bringing electronic devices into social science classrooms. Few instructors have attempted robustly and systematically to…

75 FR 71092 - Privacy Act of 1974; System of Records

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-22

... (DIBRS); 18 U.S.C. 922 note, The Brady Handgun Violence Prevention Act; 28 U.S.C. 534 note, Uniform...: Delete entry and replace with ``Electronic storage media and file folders.'' Retrievability: Delete entry..., The Brady Handgun Violence Prevention Act; 28 U.S.C. 534 note, Uniform Federal Crime Reporting Act; 42...

Regional Epidemiologic Assessment of Prevalent Periodontitis Using an Electronic Health Record System

PubMed Central

Acharya, Amit; VanWormer, Jeffrey J.; Waring, Stephen C.; Miller, Aaron W.; Fuehrer, Jay T.; Nycz, Gregory R.

2013-01-01

An oral health surveillance platform that queries a clinical/administrative data warehouse was applied to estimate regional prevalence of periodontitis. Cross-sectional analysis of electronic health record data collected between January 1, 2006, and December 31, 2010, was undertaken in a population sample residing in Ladysmith, Wisconsin. Eligibility criteria included: 1) residence in defined zip codes, 2) age 25–64 years, and 3) ≥1 Marshfield dental clinic comprehensive examination. Prevalence was established using 2 independent methods: 1) via an algorithm that considered clinical attachment loss and probe depth and 2) via standardized Current Dental Terminology (CDT) codes related to periodontal treatment. Prevalence estimates were age-standardized to 2000 US Census estimates. Inclusion criteria were met by 2,056 persons. On the basis of the American Academy of Periodontology/Centers for Disease Control and Prevention method, the age-standardized prevalence of moderate or severe periodontitis (combined) was 407 per 1,000 males and 308 per 1,000 females (348/1,000 males and 269/1,000 females using the CDT code method). Increased prevalence and severity of periodontitis was noted with increasing age. Local prevalence of periodontitis was consistent with national estimates. The need to address potential sample selection bias in future electronic health record–based periodontitis research was identified by this approach. Methods outlined herein may be applied to refine oral health surveillance systems, inform dental epidemiologic methods, and evaluate interventional outcomes. PMID:23462966

Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

PubMed

Nelson, Richard E; Butler, Jorie; LaFleur, Joanne; Knippenberg, Kristin; C Kamauu, Aaron W; DuVall, Scott L

2016-12-01

Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classified into phenotypes depending on the patterns of cognitive or physical impairment progression: relapsing-remitting MS (RRMS), primary-progressive MS (PPMS), secondary-progressive MS (SPMS), or progressive-relapsing MS (PRMS). The phenotype is important in managing the disease and determining appropriate treatment. The ICD-9-CM code 340.0 is uninformative about MS phenotype, which increases the difficulty of studying the effects of phenotype on disease. To identify MS phenotype using natural language processing (NLP) techniques on progress notes and other clinical text in the electronic medical record (EMR). Patients with at least 2 ICD-9-CM codes for MS (340.0) from 1999 through 2010 were identified from nationwide EMR data in the Department of Veterans Affairs. Clinical experts were interviewed for possible keywords and phrases denoting MS phenotype in order to develop a data dictionary for NLP. For each patient, NLP was used to search EMR clinical notes, since the first MS diagnosis date for these keywords and phrases. Presence of phenotype-related keywords and phrases were analyzed in context to remove mentions that were negated (e.g., "not relapsing-remitting") or unrelated to MS (e.g., "RR" meaning "respiratory rate"). One thousand mentions of MS phenotype were validated, and all records of 150 patients were reviewed for missed mentions. There were 7,756 MS patients identified by ICD-9-CM code 340.0. MS phenotype was identified for 2,854 (36.8%) patients, with 1,836 (64.3%) of those having just 1 phenotype mentioned in their EMR clinical notes: 1,118 (39.2%) RRMS, 325 (11.4%) PPMS, 374 (13.1%) SPMS, and 19 (0.7%) PRMS. A total of 747 patients (26.2%) had 2 phenotypes, the most common being 459 patients (16.1%) with RRMS and SPMS. A total of 213 patients (7.5%) had 3 phenotypes, and 58 patients (2.0%) had 4 phenotypes mentioned in their EMR clinical notes. Positive predictive value of phenotype identification was 93.8% with sensitivity of 94.0%. Phenotype was documented for slightly more than one third of MS patients, an important but disappointing finding that sets a limit on studying the effects of phenotype on MS in general. However, for cases where the phenotype was documented, NLP accurately identified the phenotypes. Having multiple phenotypes documented is consistent with disease progression. The most common misidentification was because of ambiguity while clinicians were trying to determine phenotype. This study brings attention to the need for care providers to document MS phenotype more consistently and provides a solution for capturing phenotype from clinical text. This study was funded by Anolinx and F. Hoffman-La Roche. Nelson serves as a consultant for Anolinx. Kamauu is owner of Anolinx, which has received multiple research grants from pharmaceutical and biotechnology companies. LaFleur has received a Novartis grant for ongoing work. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. government. Study concept and design were contributed by Butler, LaFleur, Kamauu, DuVall, and Nelson. DuVall collected the data, and interpretation was performed by Nelson, DuVall, and Kamauu, along with Butler, LaFleur, and Knippenberg. The manuscript was written primarily by Nelson, along with Knippenberg and assisted by the other authors, and revised by Knippenberg, Nelson, and DuVall, along with the other authors.

Part-of-speech tagging for clinical text: wall or bridge between institutions?

PubMed

Fan, Jung-wei; Prasad, Rashmi; Yabut, Rommel M; Loomis, Richard M; Zisook, Daniel S; Mattison, John E; Huang, Yang

2011-01-01

Part-of-speech (POS) tagging is a fundamental step required by various NLP systems. The training of a POS tagger relies on sufficient quality annotations. However, the annotation process is both knowledge-intensive and time-consuming in the clinical domain. A promising solution appears to be for institutions to share their annotation efforts, and yet there is little research on associated issues. We performed experiments to understand how POS tagging performance would be affected by using a pre-trained tagger versus raw training data across different institutions. We manually annotated a set of clinical notes at Kaiser Permanente Southern California (KPSC) and a set from the University of Pittsburg Medical Center (UPMC), and trained/tested POS taggers with intra- and inter-institution settings. The cTAKES POS tagger was also included in the comparison to represent a tagger partially trained from the notes of a third institution, Mayo Clinic at Rochester. Intra-institution 5-fold cross-validation estimated an accuracy of 0.953 and 0.945 on the KPSC and UPMC notes respectively. Trained purely on KPSC notes, the accuracy was 0.897 when tested on UPMC notes. Trained purely on UPMC notes, the accuracy was 0.904 when tested on KPSC notes. Applying the cTAKES tagger pre-trained with Mayo Clinic's notes, the accuracy was 0.881 on KPSC notes and 0.883 on UPMC notes. After adding UPMC annotations to KPSC training data, the average accuracy on tested KPSC notes increased to 0.965. After adding KPSC annotations to UPMC training data, the average accuracy on tested UPMC notes increased to 0.953. The results indicated: first, the performance of pre-trained POS taggers dropped about 5% when applied directly across the institutions; second, mixing annotations from another institution following the same guideline increased tagging accuracy for about 1%. Our findings suggest that institutions can benefit more from sharing raw annotations but less from sharing pre-trained models for the POS tagging task. We believe the study could also provide general insights on cross-institution data sharing for other types of NLP tasks.

Antenatal Emergency Care Provided by Paramedics: A One-Year Clinical Profile.

PubMed

McLelland, Gayle; McKenna, Lisa; Morgans, Amee; Smith, Karen

2016-01-01

To report on clinical and socio-demographic factors of a one-year caseload of women attended by a statewide ambulance service in Australia, who presented during pregnancy, prior to the commencement of labor. Retrospective clinical data collected via in-field electronic patient care record (VACIS®) by paramedics during clinical management was provided by Ambulance Victoria. Cases were electronically extracted from the Ambulance Victoria Clinical Data Warehouse via comprehensive filtering followed by case review. Over a 12-month period, paramedics were called to 2,098 women with pregnancy as a primary or non-primary clinical consideration. Women's ages ranged from 14 to 48 years. The majority were multigravidas (86%). There was a greater chance that ambulance services would be required during business hours than any other time of the day. Paramedics noted pregnant women required ambulance services for a range of primary presenting symptoms both obstetric (n = 1137) and non-obstetric (n = 961). Some women had pre-existing conditions including asthma, hypertension, and diabetes potentially complicating their pregnancies. Paramedics administered analgesia to one third of the women. Paired t-tests revealed significant improvement in the pain relief and overall vital signs of the women encountered. Less than half the women (n = 986, 47%) required interventions. This is a unique population wide analysis of ambulance service resource use exploring the clinical profile of pregnant women requiring ambulance services in one calendar year. To manage obstetric and non-obstetric complications in this population safely and effectively, paramedics require an understanding of the unique physiological adaptions during pregnancy. This study therefore has both educational and practice implications.

Clinical Information Systems Integration in New York City's First Mobile Stroke Unit.

PubMed

Kummer, Benjamin R; Lerario, Michael P; Navi, Babak B; Ganzman, Adam C; Ribaudo, Daniel; Mir, Saad A; Pishanidar, Sammy; Lekic, Tim; Williams, Olajide; Kamel, Hooman; Marshall, Randolph S; Hripcsak, George; Elkind, Mitchell S V; Fink, Matthew E

2018-01-01

Mobile stroke units (MSUs) reduce time to thrombolytic therapy in acute ischemic stroke. These units are widely used, but the clinical information systems underlying MSU operations are understudied. The first MSU on the East Coast of the United States was established at New York Presbyterian Hospital (NYP) in October 2016. We describe our program's 7-month pilot, focusing on the integration of our hospital's clinical information systems into our MSU to support patient care and research efforts. NYP's MSU was staffed by two paramedics, one radiology technologist, and a vascular neurologist. The unit was equipped with four laptop computers and networking infrastructure enabling all staff to access the hospital intranet and clinical applications during operating hours. A telephone-based registration procedure registered patients from the field into our admit/discharge/transfer system, which interfaced with the institutional electronic health record (EHR). We developed and implemented a computerized physician order entry set in our EHR with prefilled values to permit quick ordering of medications, imaging, and laboratory testing. We also developed and implemented a structured clinician note to facilitate care documentation and clinical data extraction. Our MSU began operating on October 3, 2016. As of April 27, 2017, the MSU transported 49 patients, of whom 16 received tissue plasminogen activator (t-PA). Zero technical problems impacting patient care were reported around registration, order entry, or intranet access. Two onboard network failures occurred, resulting in computed tomography scanner malfunctions, although no patients became ineligible for time-sensitive treatment as a result. Thirteen (26.5%) clinical notes contained at least one incomplete time field. The main technical challenges encountered during the integration of our hospital's clinical information systems into our MSU were onboard network failures and incomplete clinical documentation. Future studies are necessary to determine whether such integrative efforts improve MSU care quality, and which enhancements to information systems will optimize clinical care and research efforts. Schattauer GmbH Stuttgart.

Coronary artery disease risk assessment from unstructured electronic health records using text mining.

PubMed

Jonnagaddala, Jitendra; Liaw, Siaw-Teng; Ray, Pradeep; Kumar, Manish; Chang, Nai-Wen; Dai, Hong-Jie

2015-12-01

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history, social history and family history are required to determine the risk factors for a disease. However, risk factor data are usually embedded in unstructured clinical narratives if the data is not collected specifically for risk assessment purposes. Clinical text mining can be used to extract data related to risk factors from unstructured clinical notes. This study presents methods to extract Framingham risk factors from unstructured electronic health records using clinical text mining and to calculate 10-year coronary artery disease risk scores in a cohort of diabetic patients. We developed a rule-based system to extract risk factors: age, gender, total cholesterol, HDL-C, blood pressure, diabetes history and smoking history. The results showed that the output from the text mining system was reliable, but there was a significant amount of missing data to calculate the Framingham risk score. A systematic approach for understanding missing data was followed by implementation of imputation strategies. An analysis of the 10-year Framingham risk scores for coronary artery disease in this cohort has shown that the majority of the diabetic patients are at moderate risk of CAD. Copyright © 2015 Elsevier Inc. All rights reserved.

Timelike Momenta In Quantum Electrodynamics

DOE R&D Accomplishments Database

Brodsky, S. J.; Ting, S. C. C.

1965-12-01

In this note we discuss the possibility of studying the quantum electrodynamics of timelike photon propagators in muon or electron pair production by incident high energy muon or electron beams from presently available proton or electron accelerators.

Teaching Students to Correspond Effectively Electronically.

ERIC Educational Resources Information Center

Extejt, Marian M.

1998-01-01

Discusses current standards for formatting and etiquette of electronic mail in the business setting. Discusses privacy and appropriate content. Notes that class assignments involving electronic mail provide practical opportunities to develop ease with this form. (SR)

Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records.

PubMed

Fernandes, Andrea C; Cloete, Danielle; Broadbent, Matthew T M; Hayes, Richard D; Chang, Chin-Kuo; Jackson, Richard G; Roberts, Angus; Tsang, Jason; Soncul, Murat; Liebscher, Jennifer; Stewart, Robert; Callard, Felicity

2013-07-11

Electronic health records (EHRs) provide enormous potential for health research but also present data governance challenges. Ensuring de-identification is a pre-requisite for use of EHR data without prior consent. The South London and Maudsley NHS Trust (SLaM), one of the largest secondary mental healthcare providers in Europe, has developed, from its EHRs, a de-identified psychiatric case register, the Clinical Record Interactive Search (CRIS), for secondary research. We describe development, implementation and evaluation of a bespoke de-identification algorithm used to create the register. It is designed to create dictionaries using patient identifiers (PIs) entered into dedicated source fields and then identify, match and mask them (with ZZZZZ) when they appear in medical texts. We deemed this approach would be effective, given high coverage of PI in the dedicated fields and the effectiveness of the masking combined with elements of a security model. We conducted two separate performance tests i) to test performance of the algorithm in masking individual true PIs entered in dedicated fields and then found in text (using 500 patient notes) and ii) to compare the performance of the CRIS pattern matching algorithm with a machine learning algorithm, called the MITRE Identification Scrubber Toolkit - MIST (using 70 patient notes - 50 notes to train, 20 notes to test on). We also report any incidences of potential breaches, defined by occurrences of 3 or more true or apparent PIs in the same patient's notes (and in an additional set of longitudinal notes for 50 patients); and we consider the possibility of inferring information despite de-identification. True PIs were masked with 98.8% precision and 97.6% recall. As anticipated, potential PIs did appear, owing to misspellings entered within the EHRs. We found one potential breach. In a separate performance test, with a different set of notes, CRIS yielded 100% precision and 88.5% recall, while MIST yielded a 95.1% and 78.1%, respectively. We discuss how we overcome the realistic possibility - albeit of low probability - of potential breaches through implementation of the security model. CRIS is a de-identified psychiatric database sourced from EHRs, which protects patient anonymity and maximises data available for research. CRIS demonstrates the advantage of combining an effective de-identification algorithm with a carefully designed security model. The paper advances much needed discussion of EHR de-identification - particularly in relation to criteria to assess de-identification, and considering the contexts of de-identified research databases when assessing the risk of breaches of confidential patient information.

Postoperative chest tube management: measuring air leak using an electronic device decreases variability in the clinical practice.

PubMed

Varela, Gonzalo; Jiménez, Marcelo F; Novoa, Nuria Maria; Aranda, José Luis

2009-01-01

Since there are no data in the literature regarding variability in the management of postoperative pleural drainages, we have designed a prospective randomized study aimed at measuring inter-observer variability in deciding when to withdraw chest tubes after lung resection and to evaluate if the use of an electronic device to measure postoperative air leak decreases clinical practice variations. Sixty-one patients undergoing pulmonary resection were randomly assigned to one of the following groups: digital group (electronic measure of pleural air leak using Millicore AB DigiVent chest drainage system) or traditional group (standard water seal pleural chamber). Chest tube withdrawal criteria were established in advance. During morning rounds, two thoracic surgeons with comparable clinical experience and blinded to the decision of their counterpart, evaluated chest tube withdrawal criteria and noted whether the tube should be withdrawn or not. Inter-observer variability kappa index and global, positive, and negative agreement rates were calculated on 2 x 2 tables. Each observation episode was considered in the calculation. Fifty-four observations were recorded in the traditional group. Kappa coefficient was 0.37 (overall agreement rate: 0.58; positive agreement rate: 0.72; and negative agreement rate: 0.64). In the digital group, 67 observations were recorded. Kappa coefficient was 0.88 (overall agreement rate: 0.94; positive agreement rate 0.94; and negative agreement rate 0.94). We have demonstrated a high rate of disagreement related to the indication to remove chest tubes after lung resection and the improvement of the agreement rate with the use of an electronic device to measure postoperative air leak and pleural pressures.

Pediatrician Knowledge, Attitudes, and Practice Related to Electronic Cigarettes.

PubMed

Gorzkowski, Julie A; Whitmore, Regina M; Kaseeska, Kristen R; Brishke, Janet K; Klein, Jonathan D

2016-07-01

Electronic cigarettes (e-cigarettes) have grown rapidly in popularity, creating concerns for pediatricians and families. Evaluating pediatricians' understanding of e-cigarettes is an important first step in effectively addressing these products in practice. This qualitative study assesses pediatricians' knowledge, attitudes, and current clinical practices related to e-cigarettes. We conducted six focus groups with 37 pediatric clinicians in 2014. Groups were led by a trained facilitator using a semistructured discussion guide. Responses were recorded, transcribed, and coded to identify relevant themes. Pediatricians know that e-cigarettes generally contain nicotine and that adolescents and young adults are most likely to use them. However, most feel uninformed about the health effects of e-cigarettes and report wanting scientific evidence for safety or harm from credible sources. Pediatricians are skeptical of claims that e-cigarettes are safe, either for users or for those exposed to second-hand e-cigarette vapor or emissions. Participants noted that clinical conversations about e-cigarettes were rare, citing barriers including a lack of systematic screening, competing priorities during clinical visits, and, for some, limited confidence in their ability to address e-cigarettes during clinical encounters. No participants recommended e-cigarettes for cessation. Pediatricians feel poorly informed about e-cigarettes and are concerned about their potential health effects. While clinical discussions about e-cigarettes are rare, recent increases in their use leaves many clinicians wanting guidance about what to say to patients and families. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models.

PubMed

Zhang, Shaodian; Kang, Tian; Zhang, Xingting; Wen, Dong; Elhadad, Noémie; Lei, Jianbo

2016-04-01

Speculations represent uncertainty toward certain facts. In clinical texts, identifying speculations is a critical step of natural language processing (NLP). While it is a nontrivial task in many languages, detecting speculations in Chinese clinical notes can be particularly challenging because word segmentation may be necessary as an upstream operation. The objective of this paper is to construct a state-of-the-art speculation detection system for Chinese clinical notes and to investigate whether embedding features and word segmentations are worth exploiting toward this overall task. We propose a sequence labeling based system for speculation detection, which relies on features from bag of characters, bag of words, character embedding, and word embedding. We experiment on a novel dataset of 36,828 clinical notes with 5103 gold-standard speculation annotations on 2000 notes, and compare the systems in which word embeddings are calculated based on word segmentations given by general and by domain specific segmenters respectively. Our systems are able to reach performance as high as 92.2% measured by F score. We demonstrate that word segmentation is critical to produce high quality word embedding to facilitate downstream information extraction applications, and suggest that a domain dependent word segmenter can be vital to such a clinical NLP task in Chinese language. Copyright © 2016 Elsevier Inc. All rights reserved.

Measuring up: Implementing a dental quality measure in the electronic health record context.

PubMed

Bhardwaj, Aarti; Ramoni, Rachel; Kalenderian, Elsbeth; Neumann, Ana; Hebballi, Nutan B; White, Joel M; McClellan, Lyle; Walji, Muhammad F

2016-01-01

Quality improvement requires using quality measures that can be implemented in a valid manner. Using guidelines set forth by the Meaningful Use portion of the Health Information Technology for Economic and Clinical Health Act, the authors assessed the feasibility and performance of an automated electronic Meaningful Use dental clinical quality measure to determine the percentage of children who received fluoride varnish. The authors defined how to implement the automated measure queries in a dental electronic health record. Within records identified through automated query, the authors manually reviewed a subsample to assess the performance of the query. The automated query results revealed that 71.0% of patients had fluoride varnish compared with the manual chart review results that indicated 77.6% of patients had fluoride varnish. The automated quality measure performance results indicated 90.5% sensitivity, 90.8% specificity, 96.9% positive predictive value, and 75.2% negative predictive value. The authors' findings support the feasibility of using automated dental quality measure queries in the context of sufficient structured data. Information noted only in free text rather than in structured data would require using natural language processing approaches to effectively query electronic health records. To participate in self-directed quality improvement, dental clinicians must embrace the accountability era. Commitment to quality will require enhanced documentation to support near-term automated calculation of quality measures. Copyright © 2016 American Dental Association. Published by Elsevier Inc. All rights reserved.

Sophia: A Expedient UMLS Concept Extraction Annotator.

PubMed

Divita, Guy; Zeng, Qing T; Gundlapalli, Adi V; Duvall, Scott; Nebeker, Jonathan; Samore, Matthew H

2014-01-01

An opportunity exists for meaningful concept extraction and indexing from large corpora of clinical notes in the Veterans Affairs (VA) electronic medical record. Currently available tools such as MetaMap, cTAKES and HITex do not scale up to address this big data need. Sophia, a rapid UMLS concept extraction annotator was developed to fulfill a mandate and address extraction where high throughput is needed while preserving performance. We report on the development, testing and benchmarking of Sophia against MetaMap and cTAKEs. Sophia demonstrated improved performance on recall as compared to cTAKES and MetaMap (0.71 vs 0.66 and 0.38). The overall f-score was similar to cTAKES and an improvement over MetaMap (0.53 vs 0.57 and 0.43). With regard to speed of processing records, we noted Sophia to be several fold faster than cTAKES and the scaled-out MetaMap service. Sophia offers a viable alternative for high-throughput information extraction tasks.

Sophia: A Expedient UMLS Concept Extraction Annotator

PubMed Central

Divita, Guy; Zeng, Qing T; Gundlapalli, Adi V.; Duvall, Scott; Nebeker, Jonathan; Samore, Matthew H.

2014-01-01

An opportunity exists for meaningful concept extraction and indexing from large corpora of clinical notes in the Veterans Affairs (VA) electronic medical record. Currently available tools such as MetaMap, cTAKES and HITex do not scale up to address this big data need. Sophia, a rapid UMLS concept extraction annotator was developed to fulfill a mandate and address extraction where high throughput is needed while preserving performance. We report on the development, testing and benchmarking of Sophia against MetaMap and cTAKEs. Sophia demonstrated improved performance on recall as compared to cTAKES and MetaMap (0.71 vs 0.66 and 0.38). The overall f-score was similar to cTAKES and an improvement over MetaMap (0.53 vs 0.57 and 0.43). With regard to speed of processing records, we noted Sophia to be several fold faster than cTAKES and the scaled-out MetaMap service. Sophia offers a viable alternative for high-throughput information extraction tasks. PMID:25954351

An investigation of the constituent elements and modes of fracture of in vivo fractured metallic posts.

PubMed

Fox, Kathryn; Wood, David J; Youngson, Callum C

2007-01-01

The objective of this investigation was to determine the materials used in metallic post and core construction and investigate and the modes of failure that occurred resulting in post fracture. Eighty-five fractured metal posts were clinically retrieved over a 5-year period. The tooth with the fractured post, and relevant clinical details were recorded. Investigation of the fractured posts was undertaken to determine their constituent elements and modes of fracture using scanning electron microscopy (SEM) and energy-dispersive X-ray analysis (EDX). The results showed that 77% of the posts were cast and 23% wrought. The modes of fracture were ductile (67%) or brittle (52%) although some posts exhibited both within the same specimen. In addition, evidence of fatigue was present in 20% of posts and porosity in 48%. A large variety of materials were used in the construction of post and cores although low-gold silver-palladium alloy most commonly encountered. Their failure was predominantly ductile in nature although a significant amount of brittle fracture was also noted. Porosity within castings also appeared to be a contributory factor in some cases and this was particularly evident in high-palladium castings. Evidence of fatigue was noted in a minority of posts.

A Brief Introduction to Web-Based Note Capture

ERIC Educational Resources Information Center

Ovadia, Steven

2012-01-01

While physical notebooks and locally saved electronic files are certainly helpful, there are a number of web-based solutions that might be useful to someone conducting research online, or looking to hold their notes in a web-based environment. The main advantage of a web-based note capture tool is that one is able to access it from just about…

Use of Electronic Health Record Simulation to Understand the Accuracy of Intern Progress Notes

PubMed Central

March, Christopher A.; Scholl, Gretchen; Dversdal, Renee K.; Richards, Matthew; Wilson, Leah M.; Mohan, Vishnu; Gold, Jeffrey A.

2016-01-01

Background With the widespread adoption of electronic health records (EHRs), there is a growing awareness of problems in EHR training for new users and subsequent problems with the quality of information present in EHR-generated progress notes. By standardizing the case, simulation allows for the discovery of EHR patterns of use as well as a modality to aid in EHR training. Objective To develop a high-fidelity EHR training exercise for internal medicine interns to understand patterns of EHR utilization in the generation of daily progress notes. Methods Three months after beginning their internship, 32 interns participated in an EHR simulation designed to assess patterns in note writing and generation. Each intern was given a simulated chart and instructed to create a daily progress note. Notes were graded for use of copy-paste, macros, and accuracy of presented data. Results A total of 31 out of 32 interns (97%) completed the exercise. There was wide variance in use of macros to populate data, with multiple macro types used for the same data category. Three-quarters of notes contained either copy-paste elements or the elimination of active medical problems from the prior days' notes. This was associated with a significant number of quality issues, including failure to recognize a lack of deep vein thrombosis prophylaxis, medications stopped on admission, and issues in prior discharge summary. Conclusions Interns displayed wide variation in the process of creating progress notes. Additional studies are being conducted to determine the impact EHR-based simulation has on standardization of note content. PMID:27168894

Use of Electronic Health Record Simulation to Understand the Accuracy of Intern Progress Notes.

PubMed

March, Christopher A; Scholl, Gretchen; Dversdal, Renee K; Richards, Matthew; Wilson, Leah M; Mohan, Vishnu; Gold, Jeffrey A

2016-05-01

Background With the widespread adoption of electronic health records (EHRs), there is a growing awareness of problems in EHR training for new users and subsequent problems with the quality of information present in EHR-generated progress notes. By standardizing the case, simulation allows for the discovery of EHR patterns of use as well as a modality to aid in EHR training. Objective To develop a high-fidelity EHR training exercise for internal medicine interns to understand patterns of EHR utilization in the generation of daily progress notes. Methods Three months after beginning their internship, 32 interns participated in an EHR simulation designed to assess patterns in note writing and generation. Each intern was given a simulated chart and instructed to create a daily progress note. Notes were graded for use of copy-paste, macros, and accuracy of presented data. Results A total of 31 out of 32 interns (97%) completed the exercise. There was wide variance in use of macros to populate data, with multiple macro types used for the same data category. Three-quarters of notes contained either copy-paste elements or the elimination of active medical problems from the prior days' notes. This was associated with a significant number of quality issues, including failure to recognize a lack of deep vein thrombosis prophylaxis, medications stopped on admission, and issues in prior discharge summary. Conclusions Interns displayed wide variation in the process of creating progress notes. Additional studies are being conducted to determine the impact EHR-based simulation has on standardization of note content.

Impact of Homecare Electronic Health Record on Timeliness of Clinical Documentation, Reimbursement, and Patient Outcomes

PubMed Central

Bowles, K. H.; Adelsberger, M. C.; Chittams, J. L.; Liao, C.

2014-01-01

Summary Background Homecare is an important and effective way of managing chronic illnesses using skilled nursing care in the home. Unlike hospitals and ambulatory settings, clinicians visit patients at home at different times, independent of each other. Twenty-nine percent of 10,000 homecare agencies in the United States have adopted point-of-care EHRs. Yet, relatively little is known about the growing use of homecare EHRs. Objective Researchers compared workflow, financial billing, and patient outcomes before and after implementation to evaluate the impact of a homecare point-of-care EHR. Methods The design was a pre/post observational study embedded in a mixed methods study. The setting was a Philadelphia-based homecare agency with 137 clinicians. Data sources included: (1) clinician EHR documentation completion; (2) EHR usage data; (3) Medicare billing data; (4) an EHR Nurse Satisfaction survey; (5) clinician observations; (6) clinician interviews; and (7) patient outcomes. Results Clinicians were satisfied with documentation timeliness and team communication. Following EHR implementation, 90% of notes were completed within the 1-day compliance interval (n = 56,702) compared with 30% of notes completed within the 7-day compliance interval in the pre-implementation period (n = 14,563; OR 19, p <. 001). Productivity in the number of clinical notes documented post-implementation increased almost 10-fold compared to pre-implementation. Days to Medicare claims fell from 100 days pre-implementation to 30 days post-implementation, while the census rose. EHR implementation impact on patient outcomes was limited to some behavioral outcomes. Discussion Findings from this homecare EHR study indicated clinician EHR use enabled a sustained increase in productivity of note completion, as well as timeliness of documentation and billing for reimbursement with limited impact on improving patient outcomes. As EHR adoption increases to better meet the needs of the growing population of older people with chronic health conditions, these results can inform homecare EHR development and implementation. PMID:25024760

Retrospective Evaluation of a Teleretinal Screening Program in Detecting Multiple Nondiabetic Eye Diseases.

PubMed

Maa, April Y; Patel, Shivangi; Chasan, Joel E; Delaune, William; Lynch, Mary G

2017-01-01

Diabetic teleretinal screening programs have been utilized successfully across the world to detect diabetic retinopathy (DR) and are well validated. Less information, however, exists on the ability of teleretinal imaging to detect nondiabetic ocular pathology. This study performed a retrospective evaluation to assess the ability of a community-based diabetic teleretinal screening program to detect common ocular disease other than DR. A retrospective chart review of 1,774 patients who underwent diabetic teleretinal screening was performed. Eye clinic notes from the Veterans Health Administration's electronic medical record, Computerized Patient Record System, were searched for each of the patients screened through teleretinal imaging. When a face-to-face examination note was present, the physical findings were compared to those obtained through teleretinal imaging. Sensitivity, specificity, and positive and negative predictive values were calculated for suspicious nerve, cataract, and age-related macular degeneration. A total of 903 patients underwent a clinical examination. The positive predictive value was highest for cataract (100%), suspicious nerve (93%), and macular degeneration (90%). The negative predictive value and the percent agreement between teleretinal imaging and a clinical examination were over 90% for each disease category. A teleretinal imaging protocol may be used to screen for other common ocular diseases. It may be feasible to use diabetic teleretinal photographs to screen patients for other potential eye diseases. Additional elements of the eye workup may be added to enhance accuracy of disease detection. Further study is necessary to confirm this initial retrospective review.

An experimental technique to repair cracked teeth using calcium phosphate, melted by a laser beam: an in vitro evaluation.

PubMed

Levy, G C; Koubi, G F

1993-11-01

Using a neodymium: yttrium-aluminum-garnet laser beam to seal vertical root fracture lines with tricalcium phosphate paste represents an alternative treatment for cracked teeth with noted clinical results. This article describes a study of the permeability of molten crystals of hydroxyapatite in the dentin of a cracked root after crack lines have been filled with a preparation of tricalcium phosphate melted by a neodymium: yttrium-aluminum-garnet laser beam. The morphology of the sealed cracks was analyzed under a scanning electron microscope that showed a deep fusion of tricalcium phosphate along crack lines.

Clinical height measurements are unreliable: a call for improvement.

PubMed

Mikula, A L; Hetzel, S J; Binkley, N; Anderson, P A

2016-10-01

Height measurements are currently used to guide imaging decisions that assist in osteoporosis care, but their clinical reliability is largely unknown. We found both clinical height measurements and electronic health record height data to be unreliable. Improvement in height measurement is needed to improve osteoporosis care. The aim of this study is to assess the accuracy and reliability of clinical height measurement in a university healthcare clinical setting. Electronic health record (EHR) review, direct measurement of clinical stadiometer accuracy, and observation of staff height measurement technique at outpatient facilities of the University of Wisconsin Hospital and Clinics. We examined 32 clinical stadiometers for reliability and observed 34 clinic staff perform height measurements at 12 outpatient primary care and specialty clinics. An EHR search identified 4711 men and women age 43 to 89 with no known metabolic bone disease who had more than one height measurement over 3 months. The short study period and exclusion were selected to evaluate change in recorded height not due to pathologic processes. Mean EHR recorded height change (first to last measurement) was -0.02 cm (SD 1.88 cm). Eighteen percent of patients had height measurement differences noted in the EHR of ≥2 cm over 3 months. The technical error of measurement (TEM) was 1.77 cm with a relative TEM of 1.04 %. None of the staff observed performing height measurements followed all recommended height measurement guidelines. Fifty percent of clinic staff reported they on occasion enter patient reported height into the EHR rather than performing a measurement. When performing direct measurements on stadiometers, the mean difference from a gold standard length was 0.24 cm (SD 0.80). Nine percent of stadiometers examined had an error of >1.5 cm. Clinical height measurements and EHR recorded height results are unreliable. Improvement in this measure is needed as an adjunct to improve osteoporosis care.

Comparison of information content of structured and narrative text data sources on the example of medication intensification.

PubMed

Turchin, Alexander; Shubina, Maria; Breydo, Eugene; Pendergrass, Merri L; Einbinder, Jonathan S

2009-01-01

OBJECTIVE To compare information obtained from narrative and structured electronic sources using anti-hypertensive medication intensification as an example clinical issue of interest. DESIGN A retrospective cohort study of 5,634 hypertensive patients with diabetes from 2000 to 2005. MEASUREMENTS The authors determined the fraction of medication intensification events documented in both narrative and structured data in the electronic medical record. The authors analyzed the relationship between provider characteristics and concordance between intensifications in narrative and structured data. As there is no gold standard data source for medication information, the authors clinically validated medication intensification information by assessing the relationship between documented medication intensification and the patients' blood pressure in univariate and multivariate models. RESULTS Overall, 5,627 (30.9%) of 18,185 medication intensification events were documented in both sources. For a medication intensification event documented in narrative notes the probability of a concordant entry in structured records increased by 11% for each study year (p < 0.0001) and decreased by 19% for each decade of provider age (p = 0.035). In a multivariate model that adjusted for patient demographics and intraphysician correlations, an increase of one medication intensification per month documented in either narrative or structured data were associated with a 5-8 mm Hg monthly decrease in systolic and 1.5-4 mm Hg decrease in diastolic blood pressure (p < 0.0001 for all). CONCLUSION Narrative and structured electronic data sources provide complementary information on anti-hypertensive medication intensification. Clinical validity of information in both sources was demonstrated by correlation with changes in blood pressure.

32 CFR 322.2 - Definitions.

Code of Federal Regulations, 2014 CFR

2014-07-01

... date of birth, Social Security Number. Personal notes. Notations created in paper or electronic form..., whatever the storage media (paper, electronic, etc.) about an individual or his or her education, financial...

32 CFR 322.2 - Definitions.

Code of Federal Regulations, 2012 CFR

2012-07-01

... date of birth, Social Security Number. Personal notes. Notations created in paper or electronic form..., whatever the storage media (paper, electronic, etc.) about an individual or his or her education, financial...

32 CFR 322.2 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... date of birth, Social Security Number. Personal notes. Notations created in paper or electronic form..., whatever the storage media (paper, electronic, etc.) about an individual or his or her education, financial...

32 CFR 322.2 - Definitions.

Code of Federal Regulations, 2013 CFR

2013-07-01

... date of birth, Social Security Number. Personal notes. Notations created in paper or electronic form..., whatever the storage media (paper, electronic, etc.) about an individual or his or her education, financial...

32 CFR 322.2 - Definitions.

Code of Federal Regulations, 2011 CFR

2011-07-01

... date of birth, Social Security Number. Personal notes. Notations created in paper or electronic form..., whatever the storage media (paper, electronic, etc.) about an individual or his or her education, financial...

The development and application of electronic information system for safety administration of newborns in the rooming-in care.

PubMed

Wang, Fang; Dong, Jian-Cheng; Chen, Jian-Rong; Wu, Hui-Qun; Liu, Man-Hua; Xue, Li-Ly; Zhu, Xiang-Hua; Wang, Jian

2015-01-01

To independently research and develop an electronic information system for safety administration of newborns in the rooming-in care, and to investigate the effects of its clinical application. By VS 2010 SQL SERVER 2005 database and adopting Microsoft visual programming tool, an interactive mobile information system was established, with integrating data, information and knowledge with using information structures, information processes and information technology. From July 2011 to July 2012, totally 210 newborns from the rooming-in care of the Obstetrics Department of the Second Affiliated Hospital of Nantong University were chosen and randomly divided into two groups: the information system monitoring group (110 cases) and the regular monitoring group (100 cases). Incidence of abnormal events and degree of satisfaction were recorded and calculated. ① The wireless electronic information system has four main functions including risk scaling display, identity recognition display, nursing round notes board and health education board; ② statistically significant differences were found between the two groups both on the active or passive discovery rate of abnormal events occurred in the newborns (P<0.05) and the satisfaction degree of the mothers and their families (P<0.05); ③ the system was sensitive and reliable, and the wireless transmission of information was correct and safety. The system is with high practicability in the clinic and can ensure the safety for the newborns with improved satisfactions.

Part-of-speech tagging for clinical text: wall or bridge between institutions?

PubMed Central

Fan, Jung-wei; Prasad, Rashmi; Yabut, Rommel M.; Loomis, Richard M.; Zisook, Daniel S.; Mattison, John E.; Huang, Yang

2011-01-01

Part-of-speech (POS) tagging is a fundamental step required by various NLP systems. The training of a POS tagger relies on sufficient quality annotations. However, the annotation process is both knowledge-intensive and time-consuming in the clinical domain. A promising solution appears to be for institutions to share their annotation efforts, and yet there is little research on associated issues. We performed experiments to understand how POS tagging performance would be affected by using a pre-trained tagger versus raw training data across different institutions. We manually annotated a set of clinical notes at Kaiser Permanente Southern California (KPSC) and a set from the University of Pittsburg Medical Center (UPMC), and trained/tested POS taggers with intra- and inter-institution settings. The cTAKES POS tagger was also included in the comparison to represent a tagger partially trained from the notes of a third institution, Mayo Clinic at Rochester. Intra-institution 5-fold cross-validation estimated an accuracy of 0.953 and 0.945 on the KPSC and UPMC notes respectively. Trained purely on KPSC notes, the accuracy was 0.897 when tested on UPMC notes. Trained purely on UPMC notes, the accuracy was 0.904 when tested on KPSC notes. Applying the cTAKES tagger pre-trained with Mayo Clinic’s notes, the accuracy was 0.881 on KPSC notes and 0.883 on UPMC notes. After adding UPMC annotations to KPSC training data, the average accuracy on tested KPSC notes increased to 0.965. After adding KPSC annotations to UPMC training data, the average accuracy on tested UPMC notes increased to 0.953. The results indicated: first, the performance of pre-trained POS taggers dropped about 5% when applied directly across the institutions; second, mixing annotations from another institution following the same guideline increased tagging accuracy for about 1%. Our findings suggest that institutions can benefit more from sharing raw annotations but less from sharing pre-trained models for the POS tagging task. We believe the study could also provide general insights on cross-institution data sharing for other types of NLP tasks. PMID:22195091

Laser Assisted Free-Free Transition in Electron - Atom Collision

NASA Technical Reports Server (NTRS)

Sinha, C.; Bhatia, A. K.

2011-01-01

Free-free transition is studied for electron-Hydrogen atom system in ground state at very low incident energies in presence of an external homogeneous, monochromatic and linearly polarized laser field. The incident electron is considered to be dressed by the laser in a non perturbative manner by choosing the Volkov solutions in both the channels. The space part of the scattering wave function for the electron is solved numerically by taking into account the effect of electron exchange, short range as well as of the long range interactions. Laser assisted differential as well as elastic total cross sections are calculated for single photon absorption/emission in the soft photon limit, the laser intensity being much less than the atomic field intensity. A strong suppression is noted in the laser assisted cross sections as compared to the field free situations. Significant difference is noted in the singlet and the triplet cross sections.

Electron Beam Sterilization Does Not Have a Detrimental Effect on the Ability of Extracellular Matrix Scaffolds to Support In Vivo Ligament Healing

PubMed Central

Proffen, Benedikt L.; Perrone, Gabriel S.; Fleming, Braden C.; Sieker, Jakob T.; Kramer, Joshua; Hawes, Michael L.; Badger, Gary J.; Murray, Martha M.

2015-01-01

Purpose Extra-cellular matrix (ECM) scaffolds have been used to enhance anterior cruciate ligament (ACL) repair in large animal models. To translate this technology to clinical care, identifying a method, which effectively sterilizes the material without significantly impairing in vivo function, is desirable. Methods 16 Yorkshire pigs underwent ACL transection and were randomly assigned to bridge-enhanced ACL repair – primary suture repair of the ACL with addition of autologous blood soaked ECM scaffold - with either 1) an aseptically processed ECM scaffold, or 2) an electron beam irradiated ECM scaffold. Primary outcome measures included sterility of the scaffold and biomechanical properties of the scaffold itself and the repaired ligament at eight weeks after surgery. Results Scaffolds treated with 15kGy electron beam irradiation had no bacterial or fungal growth noted, while aseptically processed scaffolds had bacterial growth in all tested samples. The mean biomechanical properties of the scaffold and healing ligament were lower in the electron beam group; however, differences were not statistically significant. Conclusions Electron beam irradiation was able to effectively sterilize the scaffolds. In addition, this technique had only a minimal impact on the in vivo function of the scaffolds when used for ligament healing in the porcine model. PMID:25676876

Evaluation of a user guidance reminder to improve the quality of electronic prescription messages.

PubMed

Dhavle, A A; Corley, S T; Rupp, M T; Ruiz, J; Smith, J; Gill, R; Sow, M

2014-01-01

Prescribers' inappropriate use of the free-text Notes field in new electronic prescriptions can create confusion and workflow disruptions at receiving pharmacies that often necessitates contact with prescribers for clarification. The inclusion of inappropriate patient direction (Sig) information in the Notes field is particularly problematic. We evaluated the effect of a targeted watermark, an embedded overlay, reminder statement in the Notes field of an EHR-based e-prescribing application on the incidence of inappropriate patient directions (Sig) in the Notes field. E-prescriptions issued by the same exact cohort of 97 prescribers were collected over three time periods: baseline, three months after implementation of the reminder, and 15 months post implementation. Three certified and experienced pharmacy technicians independently reviewed all e-prescriptions for inappropriate Sig-related information in the Notes field. A physician reviewer served as the final adjudicator for e-prescriptions where the three reviewers could not reach a consensus. ANOVA and post hoc Tukey HSD tests were performed on group comparisons where statistical significance was evaluated at p<0.05. The incidence of inappropriate Sig-related information in the Notes field decreased from a baseline of 2.8% to 1.8% three months post-implementation and remained stable after 15 months. In addition, prescribers' use of the Notes decreased by 22% after 3 months and had stabilized at 18.7% below baseline after 15 months. Insertion of a targeted watermark reminder statement in the Notes field of an e-prescribing application significantly reduced the incidence of inappropriate Sig-related information in Notes and decreased prescribers' use of this field.

Current experience and future directions of completely NOTES colorectal resection.

PubMed

Sylla, Patricia

2010-06-27

Clinical implementation and widespread application of natural orifice translumenal surgery (NOTES) has been limited by the lack of specialized endoscopic equipment, which has prevented the ability to perform complex procedures including colorectal resections. Relative to other types of translumenal access, transanal NOTES using transanal endoscopic microsurgery (TEM) provides a stable platform for endolumenal and direct translumenal access to the peritoneal cavity, and specifically to the colon and rectum. Completely NOTES transanal rectosigmoid resection using TEM, with or without transgastric endoscopic assistance, was demonstrated to be feasible and safe in a swine survival model. The same technique was successfully replicated in human cadavers using commercially available TEM, with endoscopic and laparoscopic instrumentation. This approach also permitted complete rectal mobilization with total mesorectal excision to be performed completely transanally. As in the swine model, transgastric and/or transanal endoscopic assistance extended the length of proximal colon mobilized and overcame some of the difficulties with TEM dissection including limited endoscopic visualization and maladapted instrumentation. This extensive laboratory experience with NOTES transanal rectosigmoid resection served as the basis for the first human NOTES transanal rectal cancer excision using TEM and laparoscopic assistance. Based on this early clinical experience, NOTES transanal approach using TEM holds significant promise as a safe and substantially less morbid alternative to conventional colorectal resection in the management of benign and malignant colorectal diseases. Careful patient selection and substantial improvement in NOTES instrumentation are critical to optimize this approach prior to widespread clinical application, and may ultimately permit completely NOTES transanal colorectal resection.

A rational approach to legacy data validation when transitioning between electronic health record systems.

PubMed

Pageler, Natalie M; Grazier G'Sell, Max Jacob; Chandler, Warren; Mailes, Emily; Yang, Christine; Longhurst, Christopher A

2016-09-01

The objective of this project was to use statistical techniques to determine the completeness and accuracy of data migrated during electronic health record conversion. Data validation during migration consists of mapped record testing and validation of a sample of the data for completeness and accuracy. We statistically determined a randomized sample size for each data type based on the desired confidence level and error limits. The only error identified in the post go-live period was a failure to migrate some clinical notes, which was unrelated to the validation process. No errors in the migrated data were found during the 12- month post-implementation period. Compared to the typical industry approach, we have demonstrated that a statistical approach to sampling size for data validation can ensure consistent confidence levels while maximizing efficiency of the validation process during a major electronic health record conversion. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The transvaginal hybrid NOTES versus conventionally assisted laparoscopic sigmoid resection for diverticular disease (TRANSVERSAL) trial: study protocol for a randomized controlled trial.

PubMed

Senft, Jonas D; Warschkow, Rene; Diener, Markus K; Tarantino, Ignazio; Steinemann, Daniel C; Lamm, Sebastian; Simon, Thomas; Zerz, Andreas; Müller-Stich, Beat P; Linke, Georg R

2014-11-20

Natural orifice transluminal endoscopic surgery (NOTES) is the consequence of further development of minimally invasive surgery to reduce abdominal incisions and surgical trauma. The potential benefits are expected to be less postoperative pain, faster convalescence, and reduced risk for incisional hernias and wound infections compared to conventional methods. Recent clinical studies have demonstrated the feasibility and safety of transvaginal NOTES, and transvaginal access is currently the most frequent clinically applied route for NOTES procedures. However, despite increasing clinical application, no firm clinical evidence is available for objective assessment of the potential benefits and risks of transvaginal NOTES compared to the current surgical standard. The TRANSVERSAL trial is designed as a randomized controlled trial to compare transvaginal hybrid NOTES and laparoscopic-assisted sigmoid resection. Female patients referred to elective sigmoid resection due to complicated or reoccurring diverticulitis of the sigmoid colon are considered eligible. The primary endpoint will be pain intensity during mobilization 24 hours postoperatively as measured by the blinded patient and blinded assessor on a visual analogue scale (VAS). Secondary outcomes include daily pain intensity and analgesic use, patient mobility, intraoperative complications, morbidity, length of stay, quality of life, and sexual function. Follow-up visits are scheduled 3, 12, and 36 months after surgery. A total sample size of 58 patients was determined for the analysis of the primary endpoint. The confirmatory analysis will be performed based on the intention-to-treat (ITT) principle. The TRANSVERSAL trial is the first study to compare transvaginal hybrid NOTES and conventionally assisted laparoscopic surgery for colonic resection in a randomized controlled setting. The results of the TRANSVERSAL trial will allow objective assessment of the potential benefits and risks of NOTES compared to the current surgical standard for sigmoid resection. The trial protocol was registered in the German Clinical Trials Register ( DRKS00005995) on March 27, 2014.

The ANKLe Score: An Audit of Otolaryngology Emergency Clinic Record Keeping

PubMed Central

Dexter, Sara C; Hayashi, Daichi; Tysome, James R

2008-01-01

INTRODUCTION Accurate and legible medical records are essential to good quality patient care. Guidelines from The Royal College of Surgeons of England (RCSE) state the content required to form a complete medical record, but do not address legibility. An audit of otolaryngology emergency clinic record keeping was performed using a new scoring system. PATIENTS AND METHODS The Adjusted Note Keeping and Legibility (ANKLe) score was developed as an objective and quantitative method to assess both the content and legibility of case notes, incorporating the RCSE guidelines. Twenty consecutive otolaryngology emergency clinic case notes from each of 7 senior house officers were audited against standards for legibility and content using the ANKLe score. A proforma was introduced to improve documentation and handwriting advice was given. A further set of 140 notes (20 notes for each of the 7 doctors) was audited in the same way to provide feedback. RESULTS The introduction of a proforma and advice on handwriting significantly increased the quality of case note entries in terms of content, legibility and overall ANKLe score. CONCLUSIONS Accurate note keeping can be improved by the use of a proforma. The legibility of handwriting can be improved using simple advice. The ANKLe score is an objective assessment tool of the overall quality of medical note documentation which can be adapted for use in other specialties. PMID:18430339

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study.

PubMed

Zheng, Jiaping; Yu, Hong

2017-03-02

Electronic health records (EHRs) are a rich resource for developing applications to engage patients and foster patient activation, thus holding a strong potential to enhance patient-centered care. Studies have shown that providing patients with access to their own EHR notes may improve the understanding of their own clinical conditions and treatments, leading to improved health care outcomes. However, the highly technical language in EHR notes impedes patients' comprehension. Numerous studies have evaluated the difficulty of health-related text using readability formulas such as Flesch-Kincaid Grade Level (FKGL), Simple Measure of Gobbledygook (SMOG), and Gunning-Fog Index (GFI). They conclude that the materials are often written at a grade level higher than common recommendations. The objective of our study was to explore the relationship between the aforementioned readability formulas and the laypeople's perceived difficulty on 2 genres of text: general health information and EHR notes. We also validated the formulas' appropriateness and generalizability on predicting difficulty levels of highly complex technical documents. We collected 140 Wikipedia articles on diabetes and 242 EHR notes with diabetes International Classification of Diseases, Ninth Revision code. We recruited 15 Amazon Mechanical Turk (AMT) users to rate difficulty levels of the documents. Correlations between laypeople's perceived difficulty levels and readability formula scores were measured, and their difference was tested. We also compared word usage and the impact of medical concepts of the 2 genres of text. The distributions of both readability formulas' scores (P<.001) and laypeople's perceptions (P=.002) on the 2 genres were different. Correlations of readability predictions and laypeople's perceptions were weak. Furthermore, despite being graded at similar levels, documents of different genres were still perceived with different difficulty (P<.001). Word usage in the 2 related genres still differed significantly (P<.001). Our findings suggested that the readability formulas' predictions did not align with perceived difficulty in either text genre. The widely used readability formulas were highly correlated with each other but did not show adequate correlation with readers' perceived difficulty. Therefore, they were not appropriate to assess the readability of EHR notes. ©Jiaping Zheng, Hong Yu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.03.2017.

Oropharyngeal dysphagia is a risk factor for readmission for pneumonia in the very elderly persons: observational prospective study.

PubMed

Cabré, Mateu; Serra-Prat, Mateu; Force, Ll; Almirall, Jordi; Palomera, Elisabet; Clavé, Pere

2014-03-01

To determine whether oropharyngeal dysphagia is a risk factor for readmission for pneumonia in elderly persons discharged from an acute geriatric unit. Observational prospective cohort study with data collection based on clinical databases and electronic clinical notes. All elderly individuals discharged from an acute geriatric unit from June 2002 to December 2009 were recruited and followed until death or December 31, 2010. All individuals were initially classified according to the presence of oropharyngeal dysphagia assessed by bedside clinical examination. Main outcome measure was readmission for pneumonia. Clinical notes were reviewed by an expert clinician to verify diagnosis and classify pneumonia as aspiration or nonaspiration pneumonia. A total of 2,359 patients (61.9% women, mean age 84.9 y) were recruited and followed for a mean of 24 months. Dysphagia was diagnosed in 47.5% of cases. Overall, 7.9% of individuals were readmitted for pneumonia during follow-up, 24.2% of these had aspiration pneumonia. The incidence rate of hospital readmission for pneumonia was 3.67 readmissions per 100 person-years (95% CI 3.0-4.4) in individuals without dysphagia and 6.7 (5.5-7.8) in those with dysphagia, with an attributable risk of 3.02 readmissions per 100 person-years (1.66-4.38) and a rate ratio of 1.82 (1.41-2.36). Multivariate Cox regression showed an independent effect of oropharyngeal dysphagia, with a hazard ratio of 1.6 (1.15-2.2) for hospitalization for pneumonia, 4.48 (2.01-10.0) for aspiration pneumonia, and 1.44 (1.02-2.03) for nonaspiration pneumonia. Oropharyngeal dysphagia is a very prevalent and relevant risk factor associated with hospital readmission for both aspiration and nonaspiration pneumonia in the very elderly persons.

Validation of the diagnosis of autism in general practitioner records

PubMed Central

Fombonne, Eric; Heavey, Lisa; Smeeth, Liam; Rodrigues, Laura C; Cook, Claire; Smith, Peter G; Meng, Linyan; Hall, Andrew J

2004-01-01

Background We report on the validity of the computerized diagnoses of autism in a large case-control study investigating the possible association between autism and the measles, mumps and rubella vaccine in the UK using the General Practitioner Research Database (GPRD). We examined anonymized copies of all relevant available clinical reports, including general practitioners' (GP) notes, consultant, speech therapy and educational psychologists reports, on 318 subjects born between 1973 and 1997 with a diagnosis of autism or a related disorder recorded in their electronic general practice record. Methods Data were abstracted to a case validation form allowing for the identification of developmental symptoms relevant to the diagnosis of pervasive developmental disorders (PDDs). Information on other background clinical and familial features was also abstracted. A subset of 50 notes was coded independently by 2 raters to derive reliability estimates for key clinical characteristics. Results For 294 subjects (92.5%) the diagnosis of PDD was confirmed after review of the records. Of these, 180 subjects (61.2%) fulfilled criteria for autistic disorder. The mean age at first recording of a PDD diagnosis in the GPRD database was 6.3 years (SD = 4.6). Consistent with previous estimates, the proportion of subjects experiencing regression in the course of their development was 19%. Inter-rater reliability for the presence of a PDD diagnosis was good (kappa = .73), and agreement on clinical features such as regression, age of parental recognition of first symptoms, language delay and presence of epilepsy was also good (kappas ranging from .56 to 1.0). Conclusions This study provides evidence that the positive predictive value of a diagnosis of autism recorded in the GPRD is high. PMID:15113435

42 CFR 485.638 - Conditions of participation: Clinical records.

Code of Federal Regulations, 2010 CFR

2010-10-01

... clinical laboratory services, and consultative findings; (iii) All orders of doctors of medicine or osteopathy or other practitioners, reports of treatments and medications, nursing notes and documentation of... graphics, progress notes describing the patient's response to treatment; and (iv) Dated signatures of the...

CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.

PubMed

Liu, Zengjian; Tang, Buzhou; Wang, Xiaolong; Chen, Qingcai; Li, Haodi; Bu, Junzhao; Jiang, Jingzhi; Deng, Qiwen; Zhu, Suisong

2016-01-01

Time is an important aspect of information and is very useful for information utilization. The goal of this study was to analyze the challenges of temporal expression (TE) extraction and normalization in Chinese clinical notes by assessing the performance of a rule-based system developed by us on a manually annotated corpus (including 1,778 clinical notes of 281 hospitalized patients). In order to develop system conveniently, we divided TEs into three categories: direct, indirect and uncertain TEs, and designed different rules for each category of them. Evaluation on the independent test set shows that our system achieves an F-score of93.40% on TE extraction, and an accuracy of 92.58% on TE normalization under "exact-match" criterion. Compared with HeidelTime for Chinese newswire text, our system is much better, indicating that it is necessary to develop a specific TE extraction and normalization system for Chinese clinical notes because of domain difference.

Archetype-based electronic health records: a literature review and evaluation of their applicability to health data interoperability and access.

PubMed

Wollersheim, Dennis; Sari, Anny; Rahayu, Wenny

Health Information Managers (HIMs) are responsible for overseeing health information. The change management necessary during the transition to electronic health records (EHR) is substantial, and ongoing. Archetype-based EHRs are a core health information system component which solve many of the problems that arise during this period of change. Archetypes are models of clinical content, and they have many beneficial properties. They are interoperable, both between settings and through time. They are more amenable to change than conventional paradigms, and their design is congruent with clinical practice. This paper is an overview of the current archetype literature relevant to Health Information Managers. The literature was sourced in the English language sections of ScienceDirect, IEEE Explore, Pubmed, Google Scholar, ACM Digital library and other databases on the usage of archetypes for electronic health record storage, looking at the current areas of archetype research, appropriate usage, and future research. We also used reference lists from the cited papers, papers referenced by the openEHR website, and the recommendations from experts in the area. Criteria for inclusion were (a) if studies covered archetype research and (b) were either studies of archetype use, archetype system design, or archetype effectiveness. The 47 papers included show a wide and increasing worldwide archetype usage, in a variety of medical domains. Most of the papers noted that archetypes are an appropriate solution for future-proof and interoperable medical data storage. We conclude that archetypes are a suitable solution for the complex problem of electronic health record storage and interoperability.

Current status and future perspectives in laparoendoscopic single-site and natural orifice transluminal endoscopic urological surgery.

PubMed

Autorino, Riccardo; Stein, Robert J; Lima, Estevão; Damiano, Rocco; Khanna, Rakesh; Haber, Georges-Pascal; White, Michael A; Kaouk, Jihad H

2010-05-01

Objective of this study is to provide an evidence-based analysis of the current status and future perspectives of scarless urological surgery. A PubMed search has been performed for all relevant urological literature regarding natural orifice transluminal endoscopic surgery (NOTES) and laparoendoscopic single-site surgery (LESS). In addition, experience with LESS and NOTES at our own institution has been considered. All clinical and investigative reports for LESS and NOTES procedures in the urological literature have been considered. A wide variety of clinical procedures in urology have been successfully completed by using LESS techniques. Thus far, experience with NOTES has largely been investigational, although early clinical reports are emerging. Further development of instrumentation and platforms is necessary for both techniques to become more widely adopted throughout the urological community.

A systematic review of the use of aromatherapy in treatment of behavioral problems in dementia.

PubMed

Fung, Jo Kamen K M; Tsang, Hector W H; Chung, Raymond C K

2012-07-01

We aimed to fill the literature gap by identifying the clinical benefits of aromatherapy in older adults with dementia, and its efficacy in reducing behavioral and psychological symptoms of dementia (BPSD) based on available randomized controlled trials (RCT). A systematic review of 11 clinical trials shortlisted from electronic databases from 1995 to 2011 was carried out. The RCT showed that aromatherapy had positive effects on reduction of BPSD, improvement in cognitive functions, increasing quality of life, enhancing independence of activities of daily living and so on. However, adverse effects were noted in some studies. Limitations on methodology are discussed and suggestions on directions of further studies are made. It is recommended that aromatherapy shows the potential to be applied as a therapeutic and safe complementary and alternative therapy for the management of BPSD on more evidence collected from better designed RCT. © 2012 Japan Geriatrics Society.

Lafora's-like disease in a fennec fox (Vulpes zerda).

PubMed

Honnold, Shelley P; Schulman, F Yvonne; Bauman, Karen; Nelson, Kevin

2010-09-01

A 6-yr-old captive-born female fennec fox (Vulpes zerda) had a history of multiple seizures and was treated with diazepam and phenobarbital therapy. Despite medical treatment, the seizures continued. They were intermittent and progressive, resulting in neurologic deficits and death of the animal within 6 mo of onset of the clinical signs. At necropsy, the animal was in good nutritional condition, and no gross lesions were noted in the brain. Histologically, amphophilic to basophilic, periodic acid-Schiff (PAS) positive, diastase-resistant inclusions were present in the brain, heart, and liver. Ultrastructurally, the inclusions were variably electron dense, fibrillary to occasionally granular, and non-membrane bound. The clinical, histologic, and ultrastructural findings were consistent with Lafora's disease, which in humans is a rare, fatal, autosomal recessive hereditary neurometabolic disorder characterized by progressive myoclonic epilepsy. This is the first report of Lafora's-like disease in a fennec fox.

Examining rare and low-frequency genetic variants previously associated with lone or familial forms of atrial fibrillation in an electronic medical record system: a cautionary note.

PubMed

Weeke, Peter; Denny, Joshua C; Basterache, Lisa; Shaffer, Christian; Bowton, Erica; Ingram, Christie; Darbar, Dawood; Roden, Dan M

2015-02-01

Studies in individuals or small kindreds have implicated rare variants in 25 different genes in lone and familial atrial fibrillation (AF) using linkage and segregation analysis, functional characterization, and rarity in public databases. Here, we used a cohort of 20 204 patients of European or African ancestry with electronic medical records and exome chip data to compare the frequency of AF among carriers and noncarriers of these rare variants. The exome chip included 19 of 115 rare variants, in 9 genes, previously associated with lone or familial AF. Using validated algorithms querying a combination of clinical notes, structured billing codes, ECG reports, and procedure codes, we identified 1056 AF cases (>18 years) and 19 148 non-AF controls (>50 years) with available genotype data on the Illumina HumanExome BeadChip v.1.0 in the Vanderbilt electronic medical record-linked DNA repository, BioVU. Known correlations between AF and common variants at 4q25 were replicated. None of the 19 variants previously associated with AF were over-represented among AF cases (P>0.1 for all), and the frequency of variant carriers among non-AF controls was >0.1% for 14 of 19. Repeat analyses using non-AF controls aged >60 (n=14 904), >70 (n=9670), and >80 (n=4729) years did not influence these findings. Rare variants previously implicated in lone or familial forms of AF present on the exome chip are detected at low frequencies in a general population but are not associated with AF. These findings emphasize the need for caution when ascribing variants as pathogenic or causative. © 2014 American Heart Association, Inc.

A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.

PubMed

Wu, Y; Denny, J C; Rosenbloom, S T; Miller, R A; Giuse, D A; Song, M; Xu, H

2015-01-01

To save time, healthcare providers frequently use abbreviations while authoring clinical documents. Nevertheless, abbreviations that authors deem unambiguous often confuse other readers, including clinicians, patients, and natural language processing (NLP) systems. Most current clinical NLP systems "post-process" notes long after clinicians enter them into electronic health record systems (EHRs). Such post-processing cannot guarantee 100% accuracy in abbreviation identification and disambiguation, since multiple alternative interpretations exist. Authors describe a prototype system for real-time Clinical Abbreviation Recognition and Disambiguation (rCARD) - i.e., a system that interacts with authors during note generation to verify correct abbreviation senses. The rCARD system design anticipates future integration with web-based clinical documentation systems to improve quality of healthcare records. When clinicians enter documents, rCARD will automatically recognize each abbreviation. For abbreviations with multiple possible senses, rCARD will show a ranked list of possible meanings with the best predicted sense at the top. The prototype application embodies three word sense disambiguation (WSD) methods to predict the correct senses of abbreviations. We then conducted three experments to evaluate rCARD, including 1) a performance evaluation of different WSD methods; 2) a time evaluation of real-time WSD methods; and 3) a user study of typing clinical sentences with abbreviations using rCARD. Using 4,721 sentences containing 25 commonly observed, highly ambiguous clinical abbreviations, our evaluation showed that the best profile-based method implemented in rCARD achieved a reasonable WSD accuracy of 88.8% (comparable to SVM - 89.5%) and the cost of time for the different WSD methods are also acceptable (ranging from 0.630 to 1.649 milliseconds within the same network). The preliminary user study also showed that the extra time costs by rCARD were about 5% of total document entry time and users did not feel a significant delay when using rCARD for clinical document entry. The study indicates that it is feasible to integrate a real-time, NLP-enabled abbreviation recognition and disambiguation module with clinical documentation systems.

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.

PubMed

Moon, Sungrim; Pakhomov, Serguei; Liu, Nathan; Ryan, James O; Melton, Genevieve B

2014-01-01

To create a sense inventory of abbreviations and acronyms from clinical texts. The most frequently occurring abbreviations and acronyms from 352,267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17,359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http://www.bmhi.umn.edu/ihi/research/nlpie/resources/index.htm ('Sense Inventories', website). Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction.

Predicate Argument Structure Frames for Modeling Information in Operative Notes

PubMed Central

Wang, Yan; Pakhomov, Serguei; Melton, Genevieve B.

2015-01-01

The rich information about surgical procedures contained in operative notes is a valuable data source for improving the clinical evidence base and clinical research. In this study, we propose a set of Predicate Argument Structure (PAS) frames for surgical action verbs to assist in the creation of an information extraction (IE) system to automatically extract details about the techniques, equipment, and operative steps from operative notes. We created PropBank style PAS frames for the 30 top surgical action verbs based on examination of randomly selected sample sentences from 3,000 Laparoscopic Cholecystectomy notes. To assess completeness of the PAS frames to represent usage of same action verbs, we evaluated the PAS frames created on sample sentences from operative notes of 6 other gastrointestinal surgical procedures. Our results showed that the PAS frames created with one type of surgery can successfully denote the usage of the same verbs in operative notes of broader surgical categories. PMID:23920664

Common reasons why acne patients call the office.

PubMed

Barnes, Lauren E; Al-Dabagh, Amir; Huang, William W; Feldman, Steven R

2014-05-16

Communication between physicians and patients is essential to providing proper medical care. At times, patients leave visits with insufficiently addressed questions. These questions prompt patients to call the clinic for additional information, which disrupts the flow of care, delays proper treatment, and reduces patient satisfaction. We aim to examine acne patients' post-visit questions to develop interventions to improve patient education and reduce call backs. A retrospective electronic medical record chart review was performed involving Wake Forest Baptist Health Dermatology clinic visits between October 1, 2012 and October 31, 2012. We identified acne patients using clinic visit notes and recorded their telephone calls to the clinic between October 1, 2012 and March 29, 2013. Of 315 acne patients, 31 (9.8%) called the clinic. Isotretinoin was the subject of 66.7% of the calls, half of which involved questions about potential side effects. Other calls addressed topical medications, acne symptoms, and pharmacy requests. The study involved one center and email and fax correspondence was not captured. We found gaps in communication sufficient to require patients to call in for support, specifically regarding oral isotretinoin treatment. Interventions to address these questions have the potential to improve quality of care.

The Twin Worlds of Electronic Conferencing.

ERIC Educational Resources Information Center

Sirc, Geoffrey

1995-01-01

Notes that the process of electronic conferencing can result in activity not readily apparent as leading to productive writing behaviors, which reintroduces the tension between process and product into composition studies. Argues for a broader notion of writing and urges attention to the transformative power of electronic conferencing to enable…

Caught in the Net: Notes from the Electronic Underground.

ERIC Educational Resources Information Center

Readings, Bill

Framed by the rising costs of traditional scholarly publishing and the increasing restrictions on library budgets, the turn to electronic publishing seems to be the way of the future, according to the publisher of an electronic journal, "Surfaces." Costs and delays of production and distribution are massively reduced. The electronic…

Current experience and future directions of completely NOTES colorectal resection

PubMed Central

Sylla, Patricia

2010-01-01

Clinical implementation and widespread application of natural orifice translumenal surgery (NOTES) has been limited by the lack of specialized endoscopic equipment, which has prevented the ability to perform complex procedures including colorectal resections. Relative to other types of translumenal access, transanal NOTES using transanal endoscopic microsurgery (TEM) provides a stable platform for endolumenal and direct translumenal access to the peritoneal cavity, and specifically to the colon and rectum. Completely NOTES transanal rectosigmoid resection using TEM, with or without transgastric endoscopic assistance, was demonstrated to be feasible and safe in a swine survival model. The same technique was successfully replicated in human cadavers using commercially available TEM, with endoscopic and laparoscopic instrumentation. This approach also permitted complete rectal mobilization with total mesorectal excision to be performed completely transanally. As in the swine model, transgastric and/or transanal endoscopic assistance extended the length of proximal colon mobilized and overcame some of the difficulties with TEM dissection including limited endoscopic visualization and maladapted instrumentation. This extensive laboratory experience with NOTES transanal rectosigmoid resection served as the basis for the first human NOTES transanal rectal cancer excision using TEM and laparoscopic assistance. Based on this early clinical experience, NOTES transanal approach using TEM holds significant promise as a safe and substantially less morbid alternative to conventional colorectal resection in the management of benign and malignant colorectal diseases. Careful patient selection and substantial improvement in NOTES instrumentation are critical to optimize this approach prior to widespread clinical application, and may ultimately permit completely NOTES transanal colorectal resection. PMID:21160873

Electronic clinical safety reporting system: a benefits evaluation.

PubMed

Elliott, Pamela; Martin, Desmond; Neville, Doreen

2014-06-11

Eastern Health, a large health care organization in Newfoundland and Labrador (NL), started a staged implementation of an electronic occurrence reporting system (used interchangeably with "clinical safety reporting system") in 2008, completing Phase One in 2009. The electronic clinical safety reporting system (CSRS) was designed to replace a paper-based system. The CSRS involves reporting on occurrences such as falls, safety/security issues, medication errors, treatment and procedural mishaps, medical equipment malfunctions, and close calls. The electronic system was purchased from a vendor in the United Kingdom that had implemented the system in the United Kingdom and other places, such as British Columbia. The main objective of the new system was to improve the reporting process with the goal of improving clinical safety. The project was funded jointly by Eastern Health and Canada Health Infoway. The objectives of the evaluation were to: (1) assess the CSRS on achieving its stated objectives (particularly, the benefits realized and lessons learned), and (2) identify contributions, if any, that can be made to the emerging field of electronic clinical safety reporting. The evaluation involved mixed methods, including extensive stakeholder participation, pre/post comparative study design, and triangulation of data where possible. The data were collected from several sources, such as project documentation, occurrence reporting records, stakeholder workshops, surveys, focus groups, and key informant interviews. The findings provided evidence that frontline staff and managers support the CSRS, identifying both benefits and areas for improvement. Many benefits were realized, such as increases in the number of occurrences reported, in occurrences reported within 48 hours, in occurrences reported by staff other than registered nurses, in close calls reported, and improved timelines for notification. There was also user satisfaction with the tool regarding ease of use, accessibility, and consistency. The implementation process encountered challenges related to customizing the software and the development of the classification system for coding occurrences. This impacted on the ability of the managers to close-out files in a timely fashion. The issues that were identified, and suggestions for improvements to the form itself, were shared with the Project Team as soon as they were noted. Changes were made to the system before the rollout. There were many benefits realized from the new system that can contribute to improved clinical safety. The participants preferred the electronic system over the paper-based system. The lessons learned during the implementation process resulted in recommendations that informed the rollout of the system in Eastern Health, and in other health care organizations in the province of Newfoundland and Labrador. This study also informed the evaluation of other health organizations in the province, which was completed in 2013.

It’s about This and That: A Description of Anaphoric Expressions in Clinical Text

PubMed Central

Wang, Yan; Melton, Genevieve B.; Pakhomov, Serguei

2011-01-01

Although anaphoric expressions are very common in biomedical and clinical documents, little work has been done to systematically characterize their use in clinical text. Samples of ‘it’, ‘this’, and ‘that’ expressions occurring in inpatient clinical notes from four metropolitan hospitals were analyzed using a combination of semi-automated and manual annotation techniques. We developed a rule-based approach to filter potential non-referential expressions. A physician then manually annotated 1000 potential referential instances to determine referent status and the antecedent of each referent expression. A distributional analysis of the three referring expressions in the entire corpus of notes demonstrates a high prevalence of anaphora and large variance in distributions of referential expressions with different notes. Our results confirm that anaphoric expressions are common in clinical texts. Effective co-reference resolution with anaphoric expressions remains an important challenge in medical natural language processing research. PMID:22195211

Parsing clinical text: how good are the state-of-the-art parsers?

PubMed

Jiang, Min; Huang, Yang; Fan, Jung-wei; Tang, Buzhou; Denny, Josh; Xu, Hua

2015-01-01

Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including medicine. Although parsers developed in the general English domain, such as the Stanford parser, have been applied to clinical text, there are no formal evaluations and comparisons of their performance in the medical domain. In this study, we investigated the performance of three state-of-the-art parsers: the Stanford parser, the Bikel parser, and the Charniak parser, using following two datasets: (1) A Treebank containing 1,100 sentences that were randomly selected from progress notes used in the 2010 i2b2 NLP challenge and manually annotated according to a Penn Treebank based guideline; and (2) the MiPACQ Treebank, which is developed based on pathology notes and clinical notes, containing 13,091 sentences. We conducted three experiments on both datasets. First, we measured the performance of the three state-of-the-art parsers on the clinical Treebanks with their default settings. Then we re-trained the parsers using the clinical Treebanks and evaluated their performance using the 10-fold cross validation method. Finally we re-trained the parsers by combining the clinical Treebanks with the Penn Treebank. Our results showed that the original parsers achieved lower performance in clinical text (Bracketing F-measure in the range of 66.6%-70.3%) compared to general English text. After retraining on the clinical Treebank, all parsers achieved better performance, with the best performance from the Stanford parser that reached the highest Bracketing F-measure of 73.68% on progress notes and 83.72% on the MiPACQ corpus using 10-fold cross validation. When the combined clinical Treebanks and Penn Treebank was used, of the three parsers, the Charniak parser achieved the highest Bracketing F-measure of 73.53% on progress notes and the Stanford parser reached the highest F-measure of 84.15% on the MiPACQ corpus. Our study demonstrates that re-training using clinical Treebanks is critical for improving general English parsers' performance on clinical text, and combining clinical and open domain corpora might achieve optimal performance for parsing clinical text.

The impact of postoperative expansion initiation timing on breast expander capsular characteristics: a prospective combined clinical and scanning electron microscopy study.

PubMed

Paek, Laurence S; Giot, Jean-Philippe; Tétreault-Paquin, Jean-Olivier; St-Jacques, Samuel; Nelea, Monica; Danino, M Alain

2015-04-01

In the first stage of expander-to-implant breast reconstruction, postoperative expansion is classically initiated at 10 to 14 days (conventional approach). The authors hypothesized that it may be beneficial to wait 6 weeks postoperatively before initiating serial expansion (delayed approach). Clinical and ultrastructural periprosthetic capsule analysis is first required before determining whether a delayed approach ultimately improves capsular tissue adherence and expansion process predictability. Patients undergoing two-stage implant-based breast reconstruction were enrolled prospectively in this study. During expander-to-implant exchange, the clinical presence of "Velcro" effect, biofilm, and double capsule was noted. Periprosthetic capsule samples were also sent for scanning electron microscopic observation of three parameters: surface relief, cellularity, and biofilm. Samples were divided into four groups for data analysis (group 1, conventional/Biocell; group 2, delayed/Biocell; group 3, conventional/Siltex; and group 4, delayed/Siltex). Fifty-six breast reconstructions were included. Each group comprised between 13 and 15 breasts. In group 1, no cases exhibited the Velcro effect and there was a 53.8 percent incidence of both biofilm and double capsule. In group 2, all cases demonstrated the Velcro effect and there were no incidences of biofilm or double capsule. Group 3 and group 4 cases did not exhibit a Velcro effect or double-capsule formation; however, biofilm was present in up to 20.0 percent. All group 2 samples revealed more pronounced three-dimensional relief on scanning electron microscopy. Variations in expansion protocols can lead to observable modifications in periprosthetic capsular architecture. There may be real benefits to delaying expander inflation until 6 weeks postoperatively with Biocell expanders.

RI 1170 advanced strapdown gyro

NASA Technical Reports Server (NTRS)

1973-01-01

The major components of the RI 1170 gyroscope are described. A detailed functional description of the electronics including block diagrams and photographs of output waveshapes within the loop electronics are presented. An electronic data flow diagram is included. Those gyro subassemblies that were originally planned and subsequently changed or modified for one reason or another are discussed in detail. Variations to the original design included the capacitive pickoffs, torquer flexleads, magnetic suspension, gas bearings, electronic design, and packaging. The selection of components and changes from the original design and components selected are discussed. Device failures experienced throughout the program are reported and design corrections to eliminate the failure modes are noted. Major design deficiencies such as those of the MSE electronics are described in detail. Modifications made to the gas bearing parts and design improvements to the wheel are noted. Changes to the gas bearing prints are included as well as a mathematical analysis of the 1170 gas bearing wheel by computer analysis. The mean free-path effects on gas bearing performance is summarized.

NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes.

PubMed

McEwan, Reed; Melton, Genevieve B; Knoll, Benjamin C; Wang, Yan; Hultman, Gretchen; Dale, Justin L; Meyer, Tim; Pakhomov, Serguei V

2016-01-01

Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We present architectural best practices as lessons learned in the design and implementation NLP-PIER (Patient Information Extraction for Research), a scalable, extensible, and secure system for processing, indexing, and searching clinical notes at the University of Minnesota.

Pre-clinical Training for New Notes Procedures: From Ex-vivo Models to Virtual Reality Simulators.

PubMed

Gromski, Mark A; Ahn, Woojin; Matthes, Kai; De, Suvranu

2016-04-01

Natural orifice transluminal endoscopic surgery (NOTES) is a newer field of endoscopic surgery that allows for scarless treatment of pathologic entities, using novel transluminal approaches. There has been a shift of focus from a clinical and research standpoint from the development and dissemination of "first-generation" NOTES procedures to "new NOTES" procedures that traverse the mucosa of luminal structures, yet do not stray far into the peritoneal cavity. It has been a challenge to find appropriate and effective ways to train gastroenterologists and surgeons in these novel approaches. We review the importance of simulation in training and discuss available simulation options. Copyright © 2016 Elsevier Inc. All rights reserved.

Chyawanprash: A review of therapeutic benefits as in authoritative texts and documented clinical literature.

PubMed

Narayana, D B Anantha; Durg, Sharanbasappa; Manohar, P Ram; Mahapatra, Anita; Aramya, A R

2017-02-02

Chyawanprash (CP), a traditional immune booster recipe, has a long history of ethnic origin, development, household preparation and usage. There are even mythological stories about the origin of this recipe including its nomenclature. In the last six decades, CP, because of entrepreneurial actions of some research Vaidyas (traditional doctors) has grown to industrial production and marketing in packed forms to a large number of consumers/patients like any food or health care product. Currently, CP has acquired a large accepted user base in India and in a few countries out-side India. Authoritative texts, recognized by the Drugs and Cosmetics Act of India, describe CP as an immunity enhancer and strength giver meant for improving lung functions in diseases with compromised immunity. This review focuses on published clinical efficacy and safety studies of CP for correlation with health benefits as documented in the authoritative texts, and also briefs on its recipes and processes. Authoritative texts were searched for recipes, processes, and other technical details of CP. Labels of marketing CP products (Indian) were studied for the health claims. Electronic search for studies of CP on efficacy and safety data were performed in PubMed/MEDLINE and DHARA (Digital Helpline for Ayurveda Research Articles), and Ayurvedic books were also searched for clinical studies. The documented clinical studies from electronic databases and Ayurvedic books evidenced that individuals who consume CP regularly for a definite period of time showed improvement in overall health status and immunity. However, most of the clinical studies in this review are of smaller sample size and short duration. Further, limitation to access and review significant data on traditional products like CP in electronic databases was noted. Randomized controlled trials of high quality with larger sample size and longer follow-up are needed to have significant evidence on the clinical use of CP as immunity booster. Additional studies involving measurement of current biomarkers of immunity pre- and post-consumption of the product as well as benefits accruing with the use of CP as an adjuvant are suggested. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources

PubMed Central

Moon, Sungrim; Pakhomov, Serguei; Liu, Nathan; Ryan, James O; Melton, Genevieve B

2014-01-01

Objective To create a sense inventory of abbreviations and acronyms from clinical texts. Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). Results The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17 359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http://www.bmhi.umn.edu/ihi/research/nlpie/resources/index.htm (‘Sense Inventories’, website). Conclusions Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction. PMID:23813539

The Impact of Electronic Communication on Writing. ERIC Digest.

ERIC Educational Resources Information Center

Abdullah, Mardziah Hayati

Noting that electronic communication places new demands on language that leads to interesting variations in written language use, this Digest summarizes insights gained from research on writing behavior and performance in the electronic age. It concludes that both the process and the content of writing are evolving in response to the increased use…

Law School Experience in Pervasive Electronic Communications.

ERIC Educational Resources Information Center

Shiels, Rosemary

1994-01-01

Installation of a schoolwide local area computer network at Chicago-Kent College of Law (Illinois) is described. Uses of electronic mail within a course on computer law are described. Additional social, administrative, and research uses of electronic mail are noted as are positive effects and emerging problems (e.g., burdens on recipients and…

The Contributions of Felix Bloch and W. V. Houston to the Electron Theory of Metals

ERIC Educational Resources Information Center

Rorschach, H. E., Jr.

1970-01-01

Discusses the contributions of Bloch and Houston to the electron theory of metals. Contains (1) a biographical note on W. V. Houston, (2) a review of the development of the electron theory of metals, and (3) a discussion of gravitationally induced electric fields. Bibliography. (LC)

Apparatus Notes

ERIC Educational Resources Information Center

Eaton, Bruce G., Ed.

1977-01-01

Presents four short articles on: a power supply for the measurement of the charge-to-mass ratio of the electron; a modified centripetal force apparatus; a black box electronic unknown for the scientific instruments laboratory; and a simple scaling model for biological systems. (MLH)

Early palliative care in advanced lung cancer: a qualitative study.

PubMed

Yoong, Jaclyn; Park, Elyse R; Greer, Joseph A; Jackson, Vicki A; Gallagher, Emily R; Pirl, William F; Back, Anthony L; Temel, Jennifer S

2013-02-25

BACKGROUND Early ambulatory palliative care (PC) is an emerging practice, and its key elements have not been defined. We conducted a qualitative analysis of data from a randomized controlled trial that demonstrated improved quality of life, mood, and survival in patients with newly diagnosed metastatic non-small cell lung cancer who received early PC integrated with standard oncologic care vs standard oncologic care alone. Our objectives were to (1) identify key elements of early PC clinic visits, (2) explore the timing of key elements, and (3) compare the content of PC and oncologic visit notes at the critical time points of clinical deterioration and radiographic disease progression. METHODS We randomly selected 20 patients who received early PC and survived within 4 periods: less than 3 months (n = 5), 3 to 6 months (n = 5), 6 to 12 months (n = 5), and 12 to 24 months (n = 5). We performed content analysis on PC and oncologic visit notes from the electronic health records of these patients. RESULTS Addressing symptoms and coping were the most prevalent components of the PC clinic visits. Initial visits focused on building relationships and rapport with patients and their families and on illness understanding, including prognostic awareness. Discussions about resuscitation preferences and hospice predominantly occurred during later visits. Comparing PC and oncologic care visits around critical time points, both included discussions about symptoms and illness status; however, PC visits emphasized psychosocial elements, such as coping, whereas oncologic care visits focused on cancer treatment and management of medical complications. CONCLUSIONS Early PC clinic visits emphasize managing symptoms, strengthening coping, and cultivating illness understanding and prognostic awareness in a responsive and time-sensitive model. During critical clinical time points, PC and oncologic care visits have distinct features that suggest a key role for PC involvement and enable oncologists to focus on cancer treatment and managing medical complications.

Association of volume of patient encounters with residents' in-training examination performance.

PubMed

McCoy, Christopher P; Stenerson, Matthew B; Halvorsen, Andrew J; Homme, Jason H; McDonald, Furman S

2013-08-01

Patient care and medical knowledge are Accreditation Council for Graduate Medical Education (ACGME) core competencies. The correlation between amount of patient contact and knowledge acquisition is not known. To determine if a correlation exists between the number of patient encounters and in-training exam (ITE) scores in internal medicine (IM) and pediatric residents at a large academic medical center. Retrospective cohort study Resident physicians at Mayo Clinic from July 2006 to June 2010 in IM (318 resident-years) and pediatrics (66 resident-years). We tabulated patient encounters through review of clinical notes in an electronic medical record during post graduate year (PGY)-1 and PGY-2. Using linear regression models, we investigated associations between ITE score and number of notes during the previous PGY, adjusted for previous ITE score, gender, medical school origin, and conference attendance. For IM, PGY-2 admission and consult encounters in the hospital and specialty clinics had a positive linear association with ITE-3 % score (β = 0.02; p = 0.004). For IM, PGY-1 conference attendance is positively associated with PGY-2 ITE performance. We did not detect a correlation between PGY-1 patient encounters and subsequent ITE scores for IM or pediatric residents. No association was found between IM PGY-2 ITE score and inpatient, outpatient, or total encounters in the first year of training. Resident continuity clinic and total encounters were not associated with change in PGY-3 ITE score. We identified a positive association between hospital and subspecialty encounters during the second year of IM training and subsequent ITE score, such that each additional 50 encounters were associated with an increase of 1 % correct in PGY-3 ITE score after controlling for previous ITE performance and continuity clinic encounters. We did not find a correlation for volume of encounters and medical knowledge for IM PGY-1 residents or the pediatric cohort.

Continued Statin Prescriptions After Adverse Reactions and Patient Outcomes: A Cohort Study.

PubMed

Zhang, Huabing; Plutzky, Jorge; Shubina, Maria; Turchin, Alexander

2017-08-15

Many patients discontinue statin treatment, often after having a possible adverse reaction. The risks and benefits of continued statin therapy after an adverse reaction are not known. To examine the relationship between continuation of statin therapy (any prescription within 12 months after an adverse reaction) and clinical outcomes. Retrospective cohort study. Primary care practices affiliated with 2 academic medical centers. Patients with a presumed adverse reaction to a statin between 2000 and 2011. Information on adverse reactions to statins was obtained from structured electronic medical record data or natural-language processing of narrative provider notes. The primary composite outcome was time to a cardiovascular event (myocardial infarction or stroke) or death. Most (81%) of the adverse reactions to statins were identified from the text of electronic provider notes. Among 28 266 study patients, 19 989 (70.7%) continued receiving statin prescriptions after the adverse reaction. Four years after the presumed adverse event, the cumulative incidence of the composite primary outcome was 12.2% for patients with continued statin prescriptions, compared with 13.9% for those without them (difference, 1.7% [95% CI, 0.8% to 2.7%]; P < 0.001). In a secondary analysis of 7604 patients for whom a different statin was prescribed after the adverse reaction, 2014 (26.5%) had a documented adverse reaction to the second statin, but 1696 (84.2%) of those patients continued receiving statin prescriptions. The risk for recurrent adverse reactions to statins could not be established for the entire sample. It was also not possible to determine whether patients actually took the statins. Continued statin prescriptions after an adverse reaction were associated with a lower incidence of death and cardiovascular events. Chinese National Key Program of Clinical Science, National Natural Science Foundation of China, and Young Scientific Research Fund of Peking Union Medical College Hospital.

Comparison of accuracy of physical examination findings in initial progress notes between paper charts and a newly implemented electronic health record.

PubMed

Yadav, Siddhartha; Kazanji, Noora; K C, Narayan; Paudel, Sudarshan; Falatko, John; Shoichet, Sandor; Maddens, Michael; Barnes, Michael A

2017-01-01

There have been several concerns about the quality of documentation in electronic health records (EHRs) when compared to paper charts. This study compares the accuracy of physical examination findings documentation between the two in initial progress notes. Initial progress notes from patients with 5 specific diagnoses with invariable physical findings admitted to Beaumont Hospital, Royal Oak, between August 2011 and July 2013 were randomly selected for this study. A total of 500 progress notes were retrospectively reviewed. The paper chart arm consisted of progress notes completed prior to the transition to an EHR on July 1, 2012. The remaining charts were placed in the EHR arm. The primary endpoints were accuracy, inaccuracy, and omission of information. Secondary endpoints were time of initiation of progress note, word count, number of systems documented, and accuracy based on level of training. The rate of inaccurate documentation was significantly higher in the EHRs compared to the paper charts (24.4% vs 4.4%). However, expected physical examination findings were more likely to be omitted in the paper notes compared to EHRs (41.2% vs 17.6%). Resident physicians had a smaller number of inaccuracies (5.3% vs 17.3%) and omissions (16.8% vs 33.9%) compared to attending physicians. During the initial phase of implementation of an EHR, inaccuracies were more common in progress notes in the EHR compared to the paper charts. Residents had a lower rate of inaccuracies and omissions compared to attending physicians. Further research is needed to identify training methods and incentives that can reduce inaccuracies in EHRs during initial implementation. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Organizational Factors that Influence E-Learning Development and Implementation in the Corporate Context

ERIC Educational Resources Information Center

Wang, Feng-Kwei; Schwen, Thomas

2003-01-01

In the context of Autoparts, a multinational manufacturer for automotive electronics, Lotus Notes was employed to create an e-learning system. This system was titled "Using Notes for Case-based Learning Environments" (UNCLE). The UNCLE project attempted to encapsulate knowledge and understanding of those organizational factors that might influence…

Syncytial Hepatitis of Tilapia ( Oreochromis niloticus L.) is Associated With Orthomyxovirus-Like Virions in Hepatocytes.

PubMed

Del-Pozo, J; Mishra, N; Kabuusu, R; Cheetham, S; Eldar, A; Bacharach, E; Lipkin, W I; Ferguson, H W

2017-01-01

Using transmission electron microscopy (TEM), the presented work expands on the ultrastructural findings of an earlier report on "syncytial hepatitis," a novel disease of tilapia (SHT). Briefly, TEM confirmed the presence of an orthomyxovirus-like virus within the diseased hepatocytes but not within the endothelium. This was supported by observing extracellular and intracellular (mostly intraendosomal), 60-100 nm round virions with a trilaminar capsid containing up to 7 electron-dense aggregates. Other patterns noted included enveloped or filamentous virions and virion-containing cytoplasmic membrane folds, suggestive of endocytosis. Patterns atypical for orthymyxovirus included the formation of syncytia and the presence of virions within the perinuclear cisternae (suspected to be the Golgi apparatus). The ultrastructural morphology of SHT-associated virions is similar to that previously reported for tilapia lake virus (TiLV). A genetic homology was investigated using the available reverse transcriptase polymerase chain reaction (RT-PCR) probes for TiLV and comparing clinically sick with clinically normal fish and negative controls. By RT-PCR analysis, viral nucleic acid was detected only in diseased fish. Taken together, these findings strongly suggest that a virus is causally associated with SHT, that this virus shares ultrastructural features with orthomyxoviruses, and it presents with partial genetic homology with TiLV (190 nucleotides).

Annual Report to the Strategic Defense Initiative Organization on the Free-Electron Laser Driven by the NIST CW Microtron

DTIC Science & Technology

1986-05-05

design of the injector for the method selected was completed. A study on the problem of mirror damage has been completed, and commercial suppliers of... mirrors that can withstand the high intracavity power of the FEL have been identified. The design of the room in which the FEL is located has been...Appendices ............ ............................. .25 A. Design Note 10 - Mirror Damage B. Design Note 11 - Wiggler Field Errors C. Design Note 12

Notes on Piezoelectricity

DOE Office of Scientific and Technical Information (OSTI.GOV)

Redondo, Antonio

These notes provide a pedagogical discussion of the physics of piezoelectricity. The exposition starts with a brief analysis of the classical (continuum) theory of piezoelectric phenomena in solids. The main subject of the notes is, however, a quantum mechanical analysis. We first derive the Frohlich Hamiltonian as part of the description of the electron-phonon interaction. The results of this analysis are then employed to derive the equations of piezoelectricity. A couple of examples with the zinc blende and and wurtzite structures are presented at the end

Improving Group Learning through Electronically Facilitated Skillful Discussions.

ERIC Educational Resources Information Center

Driver, Michaela

2003-01-01

Surveys, notes, and transcripts from 35 business administration students participating in group learning via chat rooms were analyzed. Qualitative and quantitative data indicated that electronic conferencing can effectively support groups in reflection, collective inquiry, and skillful discussion. (Contains 21 references.) (SK)

Tips for Good Electronic Presentations.

ERIC Educational Resources Information Center

Strasser, Dennis

1996-01-01

Describes library uses of presentation graphics software and offers tips for creating electronic presentations. Tips include: audience retention; visual aid options; software package options; presentation planning; presentation showing; and use of text, colors, and graphics. Sidebars note common presentation errors and popular presentation…

Relationships between Electronic Information Media and Records Management Practices: Results of a Survey of United Nations Organizations. A Rand Note.

ERIC Educational Resources Information Center

Bikson, T. K.; Schieber, L.

A Technical Panel on Electronic Records Management (TP/REM), which was established by the Advisory Committee for the Co-ordination of Information Systems (ACCIS), conducted a survey of existing electronic records management practices and standards related to new information and communication technologies and their interrelationships within the…

Teaching Valence Shell Electron Pair Repulsion (VSEPR) Theory

ERIC Educational Resources Information Center

Talbot, Christopher; Neo, Choo Tong

2013-01-01

This "Science Note" looks at the way that the shapes of simple molecules can be explained in terms of the number of electron pairs in the valence shell of the central atom. This theory is formally known as valence shell electron pair repulsion (VSEPR) theory. The article explains the preferred shape of chlorine trifluoride (ClF3),…

75 FR 53999 - Notice of Request for the Extension of Currently Approved Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-02

... identified by the docket number by only one of the following methods: 1. Web site: www.regulations.gov . Follow the instructions for submitting comments on the U.S. Government electronic docket site. (Note: The... comments.) All electronic submissions must be made to the U.S. Government electronic docket site at http...

Carney v Newton: expert evidence about the standard of clinical notes.

PubMed

Faunce, Thomas; Hammer, Ingrid; Jefferys, Susannah

2007-12-01

In Carney v Newton [2006] TASSC 4 the Tasmanian Supreme Court heard a claim that the defendant breached his duty of care by failing to properly diagnose and treat a node positive carcinoma in the plaintiff's breast tissue. At trial, argument turned on the actual dialogue that took place during the initial consultation, with significant reliance on the clinical notes of the defendant. The court gave considerable weight to "expert" witnesses in ascertaining the acceptability of the defendant's conduct concerning the maintenance and interpretation of his clinical notes. This raises important questions in relation to proof of quality of medical records as part of the current professional standard of care, as modified by recent legislation in most jurisdictions.

NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes

PubMed Central

McEwan, Reed; Melton, Genevieve B.; Knoll, Benjamin C.; Wang, Yan; Hultman, Gretchen; Dale, Justin L.; Meyer, Tim; Pakhomov, Serguei V.

2016-01-01

Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We present architectural best practices as lessons learned in the design and implementation NLP-PIER (Patient Information Extraction for Research), a scalable, extensible, and secure system for processing, indexing, and searching clinical notes at the University of Minnesota. PMID:27570663

Missed surgical intensive care unit billing: potential financial impact of 24/7 faculty presence.

PubMed

Hendershot, Kimberly M; Bollins, John P; Armen, Scott B; Thomas, Yalaunda M; Steinberg, Steven M; Cook, Charles H

2009-07-01

To efficiently capture evaluation and management (E&M) and procedural billing in our surgical intensive care unit (SICU), we have developed an electronic billing system that links to the electronic medical record (EMR). In this system, only notes electronically signed and coded by an attending generate billing charges. We hypothesized that capture of missed billing during nighttime and weekends might be sufficient to subsidize 24/7 in-house attending coverage. A retrospective chart EMR review was performed of the EMRs for all SICU patients during a 2-month period. Note type, date, time, attending signature, and coding were analyzed. Notes without attending signature, diagnosis, or current procedural terminology (CPT) code were considered incomplete and identified as "missed billing." Four hundred and forty-three patients had 465 admissions generating 2,896 notes. Overall, 76% of notes were signed and coded by an attending and billed. Incomplete (not billed) notes represented an overall missed billing opportunity of $159,138 for the 2-month time period (approximately $954,000 annually). Unbilled E&M encounters during weekdays totaled $54,758, whereas unbilled E&M and procedures from weeknights and weekends totaled $88,408 ($44,566 and $43,842, respectively). Missed billing after-hours thus represents approximately $530K annually, extrapolating to approximately $220K in collections from our payer mix. Surprisingly, missed E&M and procedural billing during weekdays totaled $70,730 (approximately $425K billing, approximately $170K collections annually), and typically represented patients seen, but transferred from the SICU before attending documentation was completed. Capture of nighttime and weekend ICU collections alone may be insufficient to add faculty or incentivize in-house coverage, but could certainly complement other in-house derived revenues to such ends. In addition, missed daytime billing in busy modern ICUs can be substantial, and use of an EMR to identify missed billing opportunities can help create solutions to recover these revenues.

Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.

PubMed

Fernandes, Andrea C; Dutta, Rina; Velupillai, Sumithra; Sanyal, Jyoti; Stewart, Robert; Chandran, David

2018-05-09

Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information extraction from free text notes as well as structured fields concerning suicidality and this allows access to much larger cohorts than previously possible. This paper presents two novel NLP approaches - a rule-based approach to classify the presence of suicide ideation and a hybrid machine learning and rule-based approach to identify suicide attempts in a psychiatric clinical database. Good performance of the two classifiers in the evaluation study suggest they can be used to accurately detect mentions of suicide ideation and attempt within free-text documents in this psychiatric database. The novelty of the two approaches lies in the malleability of each classifier if a need to refine performance, or meet alternate classification requirements arises. The algorithms can also be adapted to fit infrastructures of other clinical datasets given sufficient clinical recording practice knowledge, without dependency on medical codes or additional data extraction of known risk factors to predict suicidal behaviour.

Sick notes, general practitioners, emergency departments and fracture clinics

PubMed Central

Walker, C A; Gregori, A; O'Connor, P; Jaques, K; Joseph, R

2007-01-01

Background General practitioner waiting times are increasing. The two national surveys regarding general practice showed that the number of patients waiting for ⩾2 days for an appointment rose from 63% to 72% between 1998 and 2002, with 25% waiting for ⩾4 days. The Department of Health recognised that many patients discharged from hospitals and outpatient clinics required to visit their general practitioner for the sole purpose of obtaining a sick note. The report entitled Making a difference: reducing general practitioner paperwork estimated that 518 000 appointments (and 42 000 GP h) could be saved by ensuring that these patients were issued with a sick note directly from hospital rather than being referred to their general practitioner. This practice was to be adopted from July 2001 and included patients discharged from wards as well as those seen in outpatient departments. Method 50 emergency departments and fracture clinics in Scotland and England were contacted to assess whether these guidelines had been adopted. Only hospitals with both accident and emergency and fracture clinics were included; nurse‐led and paediatric departments were excluded. Results Of the 25 Scottish emergency hospitals contacted, 4 (16%) accident and emergency departments and 8 (32%) fracture clinics issued sick notes. This was compared with 5 of 25 (20%) accident and emergency departments and 12 of 25 (48%) fracture clinics in England. Four Scottish and five English accident and emergency departments stated that it was policy to give sick notes, three Scottish and four English departments said that it was policy not to give them and the rest (72% in Scotland and 64% in England) stated that they had no clear policy but “just don't give them”. Conclusion The 2001 guidance from the joint Cabinet Office/Department of Health has not been fully incorporated into standard practice in Scotland and England. If all emergency departments and fracture clinics were to issue sick notes to patients requiring >7 days absence from work, this could reduce general practitioner consultations and improve waiting times. PMID:17183039

Measuring Up: Implementing a Dental Quality Measure in the Electronic Health Record Context

PubMed Central

Bhardwaj, Aarti; Ramoni, Rachel; Kalenderian, Elsbeth; Neumann, Ana; Hebballi, Nutan B; White, Joel M; McClellan, Lyle; Walji, Muhammad F

2015-01-01

Background Quality improvement requires quality measures that are validly implementable. In this work, we assessed the feasibility and performance of an automated electronic Meaningful Use dental clinical quality measure (percentage of children who received fluoride varnish). Methods We defined how to implement the automated measure queries in a dental electronic health record (EHR). Within records identified through automated query, we manually reviewed a subsample to assess the performance of the query. Results The automated query found 71.0% of patients to have had fluoride varnish compared to 77.6% found using the manual chart review. The automated quality measure performance was 90.5% sensitivity, 90.8% specificity, 96.9% positive predictive value, and 75.2% negative predictive value. Conclusions Our findings support the feasibility of automated dental quality measure queries in the context of sufficient structured data. Information noted only in the free text rather than in structured data would require natural language processing approaches to effectively query. Practical Implications To participate in self-directed quality improvement, dental clinicians must embrace the accountability era. Commitment to quality will require enhanced documentation in order to support near-term automated calculation of quality measures. PMID:26562736

Voice-Dictated versus Typed-in Clinician Notes: Linguistic Properties and the Potential Implications on Natural Language Processing

PubMed Central

Zheng, Kai; Mei, Qiaozhu; Yang, Lei; Manion, Frank J.; Balis, Ulysses J.; Hanauer, David A.

2011-01-01

In this study, we comparatively examined the linguistic properties of narrative clinician notes created through voice dictation versus those directly entered by clinicians via a computer keyboard. Intuitively, the nature of voice-dictated notes would resemble that of natural language, while typed-in notes may demonstrate distinctive language features for reasons such as intensive usage of acronyms. The study analyses were based on an empirical dataset retrieved from our institutional electronic health records system. The dataset contains 30,000 voice-dictated notes and 30,000 notes that were entered manually; both were encounter notes generated in ambulatory care settings. The results suggest that between the narrative clinician notes created via these two different methods, there exists a considerable amount of lexical and distributional differences. Such differences could have a significant impact on the performance of natural language processing tools, necessitating these two different types of documents being differentially treated. PMID:22195229

Assessing the difficulty and time cost of de-identification in clinical narratives.

PubMed

Dorr, D A; Phillips, W F; Phansalkar, S; Sims, S A; Hurdle, J F

2006-01-01

To characterize the difficulty confronting investigators in removing protected health information (PHI) from cross-discipline, free-text clinical notes, an important challenge to clinical informatics research as recalibrated by the introduction of the US Health Insurance Portability and Accountability Act (HIPAA) and similar regulations. Randomized selection of clinical narratives from complete admissions written by diverse providers, reviewed using a two-tiered rater system and simple automated regular expression tools. For manual review, two independent reviewers used simple search and replace algorithms and visual scanning to find PHI as defined by HIPAA, followed by an independent second review to detect any missed PHI. Simple automated review was also performed for the "easy" PHI that are number- or date-based. From 262 notes, 2074 PHI, or 7.9 +/- 6.1 per note, were found. The average recall (or sensitivity) was 95.9% while precision was 99.6% for single reviewers. Agreement between individual reviewers was strong (ICC = 0.99), although some asymmetry in errors was seen between reviewers (p = 0.001). The automated technique had better recall (98.5%) but worse precision (88.4%) for its subset of identifiers. Manually de-identifying a note took 87.3 +/- 61 seconds on average. Manual de-identification of free-text notes is tedious and time-consuming, but even simple PHI is difficult to automatically identify with the exactitude required under HIPAA.

Examining Authenticity: An Initial Exploration of the Suitability of Handwritten Electronic Signatures.

PubMed

Heckeroth, J; Boywitt, C D

2017-06-01

Considering the increasing relevance of handwritten electronically captured signatures, we evaluated the ability of forensic handwriting examiners (FHEs) to distinguish between authentic and simulated electronic signatures. Sixty-six professional FHEs examined the authenticity of electronic signatures captured with software by signotec on a smartphone Galaxy Note 4 by Samsung and signatures made with a ballpoint pen on paper (conventional signatures). In addition, we experimentally varied the name ("J. König" vs. "A. Zaiser") and the status (authentic vs. simulated) of the signatures in question. FHEs' conclusions about the authenticity did not show a statistically significant general difference between electronic and conventional signatures. Furthermore, no significant discrepancies between electronic and conventional signatures were found with regard to other important aspects of the authenticity examination such as questioned signatures' graphic information content, the suitability of the provided sample signatures, the necessity of further examinations and the levels of difficulty of the cases under examination. Thus, this study did not reveal any indications that electronic signatures captured with software by signotec on a Galaxy Note 4 are less well suited than conventional signatures for the examination of authenticity, precluding potential technical problems concerning the integrity of electronic signatures. Copyright © 2017 Elsevier B.V. All rights reserved.

Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing

PubMed Central

Zhu, Vivienne J; Walker, Tina D; Warren, Robert W; Jenny, Peggy B; Meystre, Stephane; Lenert, Leslie A

2017-01-01

Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers’ performance. To assess this concern with a test case, we developed and evaluated a natural language processing (NLP) approach to identify falls risk screenings documented in clinical notes of patients without coded falls risk screening data. Extracting information from 1,558 clinical notes (mainly progress notes) from 144 eligible patients, we generated a lexicon of 38 keywords relevant to falls risk screening, 26 terms for pre-negation, and 35 terms for post-negation. The NLP algorithm identified 62 (out of the 144) patients who falls risk screening documented only in clinical notes and not coded. Manual review confirmed 59 patients as true positives and 77 patients as true negatives. Our NLP approach scored 0.92 for precision, 0.95 for recall, and 0.93 for F-measure. These results support the concept of utilizing NLP to enhance healthcare quality reporting. PMID:29854264

Teaching evidence-based medicine: Impact on students' literature use and inpatient clinical documentation.

PubMed

Sastre, Elizabeth Ann; Denny, Joshua C; McCoy, Jacob A; McCoy, Allison B; Spickard, Anderson

2011-01-01

Effective teaching of evidence-based medicine (EBM) to medical students is important for lifelong self-directed learning. We implemented a brief workshop designed to teach literature searching skills to third-year medical students. We assessed its impact on students' utilization of EBM resources during their clinical rotation and the quality of EBM integration in inpatient notes. We developed a physician-led, hands-on workshop to introduce EBM resources to all internal medicine clerks. Pre- and post-workshop measures included student's attitudes to EBM, citations of EBM resources in their clinical notes, and quality of the EBM component of the discussion in the note. Computer log analysis recorded students' online search attempts. After the workshop, students reported improved comfort using EBM and increased utilization of EBM resources. EBM integration into the discussion component of the notes also showed significant improvement. Computer log analysis of students' searches demonstrated increased utilization of EBM resources following the workshop. We describe the successful implementation of a workshop designed to teach third-year medical students how to perform an efficient EBM literature search. We demonstrated improvements in students' confidence regarding EBM, increased utilization of EBM resources, and improved integration of EBM into inpatient notes.

Parsing clinical text: how good are the state-of-the-art parsers?

PubMed Central

2015-01-01

Background Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including medicine. Although parsers developed in the general English domain, such as the Stanford parser, have been applied to clinical text, there are no formal evaluations and comparisons of their performance in the medical domain. Methods In this study, we investigated the performance of three state-of-the-art parsers: the Stanford parser, the Bikel parser, and the Charniak parser, using following two datasets: (1) A Treebank containing 1,100 sentences that were randomly selected from progress notes used in the 2010 i2b2 NLP challenge and manually annotated according to a Penn Treebank based guideline; and (2) the MiPACQ Treebank, which is developed based on pathology notes and clinical notes, containing 13,091 sentences. We conducted three experiments on both datasets. First, we measured the performance of the three state-of-the-art parsers on the clinical Treebanks with their default settings. Then we re-trained the parsers using the clinical Treebanks and evaluated their performance using the 10-fold cross validation method. Finally we re-trained the parsers by combining the clinical Treebanks with the Penn Treebank. Results Our results showed that the original parsers achieved lower performance in clinical text (Bracketing F-measure in the range of 66.6%-70.3%) compared to general English text. After retraining on the clinical Treebank, all parsers achieved better performance, with the best performance from the Stanford parser that reached the highest Bracketing F-measure of 73.68% on progress notes and 83.72% on the MiPACQ corpus using 10-fold cross validation. When the combined clinical Treebanks and Penn Treebank was used, of the three parsers, the Charniak parser achieved the highest Bracketing F-measure of 73.53% on progress notes and the Stanford parser reached the highest F-measure of 84.15% on the MiPACQ corpus. Conclusions Our study demonstrates that re-training using clinical Treebanks is critical for improving general English parsers' performance on clinical text, and combining clinical and open domain corpora might achieve optimal performance for parsing clinical text. PMID:26045009

Electronic Publication: Writing for the Screen.

ERIC Educational Resources Information Center

Sharples, Mike

1999-01-01

Addresses paper versus electronic publication, discussing the implications for reading and writing, and whether it is as easy to read from a screen as from a book. Notes that the computer medium arose from a research project to design the perfect book, the Dynabook. (SR)

Hand-held triangulation laser profilometer with audio output for blind people Profilométre laser à triangulation tenu en main avec sortie sonare pour non-voyants

NASA Astrophysics Data System (ADS)

Farcy, R.; Damaschini, R.

1998-06-01

We describe a device currently under industrial development which will give to the blind a means of three-dimensional space perception. It consists of a 350 g hand-held triangulating laser telemeter including electronic parts and batteries, with auditory feedback either inside the apparatus or close to the ear. The microprocessor unit converts in real time the distance measured by the telemeter into a musical note. Scanning the space with an adequate movement of the hand produces musical lines corresponding to the profiles of the environment. We discuss the optical configuration of the system relative to our first year of clinical experimentation.

Start Up Application Concerns with Field Programmable Gate Arrays (FPGAs)

NASA Technical Reports Server (NTRS)

Katz, Richard B.

1999-01-01

This note is being published to improve the visibility of this subject, as we continue to see problems surface in designs, as well as to add additional information to the previously published note for design engineers. The original application note focused on designing systems with no single point failures using Actel Field Programmable Gate Arrays (FPGAs) for critical applications. Included in that note were the basic principles of operation of the Actel FPGA and a discussion of potential single-point failures. The note also discussed the issue of startup transients for that class of device. It is unfortunate that we continue to see some design problems using these devices. This note will focus on the startup properties of certain electronic components, in general, and current Actel FPGAs, in particular. Devices that are "power-on friendly" are currently being developed by Actel, as a variant of the new SX series of FPGAs. In the ideal world, electronic components would behave much differently than they do in the real world, The chain, of course, starts with the power supply. Ideally, the voltage will immediately rise to a stable V(sub cc) level, of course, it does not. Aside from practical design considerations, inrush current limits of certain capacitors must be observed and the power supply's output may be intentionally slew rate limited to prevent a large current spike on the system power bus. In any event, power supply rise time may range from less than I msec to 100 msec or more.

E-Book Purchasing Best Practices for Academic Libraries

ERIC Educational Resources Information Center

Simon, Jason C.

2014-01-01

This article alerts academic libraries to some of the methods for purchasing electronic books (e-books) and notes that, while they are similar to the models used for journal-evaluation purposes, there are a number of factors important to consider that are different for e-books. Simon notes that, while theoretically there should be some advantages…

The new clinical leadership role of senior charge nurses: a mixed methods study of their views and experience.

PubMed

Stoddart, Kathleen; Bugge, Carol; Shepherd, Ashley; Farquharson, Barbara

2014-01-01

To investigate the experience and views of senior charge nurses in relation to the implementation of a national clinical leadership policy. The role of the senior charge nurse in providing clinical leadership is evolving. However, recent evidence suggests that research is needed to inform the development of leadership and quality improvement and to connect them. Data were collected using an electronic survey to all senior charge nurses in one locality and semi-structured interviews with a subsample of respondents. Fifty (54%) senior charge nurses responded to the survey and nine were interviewed. Senior charge nurses reported mainly positive perceptions of clinical leadership, clinical team performance and improvement of care delivery for patients following the leadership programme implementation. Themes related to confidence, quality improvement and team performance were generated. 'Leading Better Care' was reported to enhance senior charge nurse clinical leadership, with some development needed to link the details of change management with the wider strategic direction. Nurse managers may wish to ensure that their clinical leaders have clarity of role in order to inspire confidence. Some challenges were noted in achieving improvement in quality and it is possible that if improvement in quality is the cornerstone of patient-centred care then it needs to be placed centrally in workload considerations. © 2012 John Wiley & Sons Ltd.

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

PubMed Central

Druhl, Emily; Polepalli Ramesh, Balaji; Houston, Thomas K; Brandt, Cynthia A; Zulman, Donna M; Vimalananda, Varsha G; Malkani, Samir; Yu, Hong

2018-01-01

Background Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. Objective The aim of this study was to develop and evaluate the usability and content quality of NoteAid, a Web-based natural language processing system that links medical terms in EHR notes to lay definitions, that is, definitions easily understood by lay people. Methods NoteAid incorporates two core components: CoDeMed, a lexical resource of lay definitions for medical terms, and MedLink, a computational unit that links medical terms to lay definitions. We developed innovative computational methods, including an adapted distant supervision algorithm to prioritize medical terms important for EHR comprehension to facilitate the effort of building CoDeMed. Ten physician domain experts evaluated the user interface and content quality of NoteAid. The evaluation protocol included a cognitive walkthrough session and a postsession questionnaire. Physician feedback sessions were audio-recorded. We used standard content analysis methods to analyze qualitative data from these sessions. Results Physician feedback was mixed. Positive feedback on NoteAid included (1) Easy to use, (2) Good visual display, (3) Satisfactory system speed, and (4) Adequate lay definitions. Opportunities for improvement arising from evaluation sessions and feedback included (1) improving the display of definitions for partially matched terms, (2) including more medical terms in CoDeMed, (3) improving the handling of terms whose definitions vary depending on different contexts, and (4) standardizing the scope of definitions for medicines. On the basis of these results, we have improved NoteAid’s user interface and a number of definitions, and added 4502 more definitions in CoDeMed. Conclusions Physician evaluation yielded useful feedback for content validation and refinement of this innovative tool that has the potential to improve patient EHR comprehension and experience using patient portals. Future ongoing work will develop algorithms to handle ambiguous medical terms and test and evaluate NoteAid with patients. PMID:29358159

Writing a technical note.

PubMed

Ng, K H; Peh, W C G

2010-02-01

A technical note is a short article giving a brief description of a specific development, technique or procedure, or it may describe a modification of an existing technique, procedure or device applicable to medicine. The technique, procedure or device described should have practical value and should contribute to clinical diagnosis or management. It could also present a software tool, or an experimental or computational method. Technical notes are variously referred to as technical innovations or technical developments. The main criteria for publication will be the novelty of concepts involved, the validity of the technique and its potential for clinical applications.

Molecular ferroelectrics: where electronics meet biology.

PubMed

Li, Jiangyu; Liu, Yuanming; Zhang, Yanhang; Cai, Hong-Ling; Xiong, Ren-Gen

2013-12-28

In the last several years, we have witnessed significant advances in molecular ferroelectrics, with the ferroelectric properties of molecular crystals approaching those of barium titanate. In addition, ferroelectricity has been observed in biological systems, filling an important missing link in bioelectric phenomena. In this perspective, we will present short historical notes on ferroelectrics, followed by an overview of the fundamentals of ferroelectricity. The latest developments in molecular ferroelectrics and biological ferroelectricity will then be highlighted, and their implications and potential applications will be discussed. We close by noting molecular ferroelectric as an exciting frontier between electronics and biology, and a number of challenges ahead are also described.

Is There Value in Having Radiology Provide a Second Reading in Pediatric Orthopaedic Clinic?

PubMed

Natarajan, Vivek; Bosch, Patrick; Dede, Ozgur; Deeney, Vincent; Mendelson, Stephen; Ward, Timothy; Brooks, Maria; Kenkre, Tanya; Roach, James

2017-06-01

The Joint Commission on Accreditation of Healthcare Organizations specifically mandates the dual interpretation of musculoskeletal radiographs by a radiologist in addition to the orthopaedist in all hospital-based orthopaedic clinics. Previous studies have questioned the utility of this practice. The purpose of this study was to further investigate the clinical significance of having the radiologist provide a second interpretation in a hospital-based pediatric orthopaedic clinic. A retrospective review was performed of all patients who had plain radiographs obtained in the pediatric orthopaedic clinic at an academic children's hospital over a 4-month period. For each radiographic series, the orthopaedist's note and the radiology interpretation were reviewed and a determination was made of whether the radiology read provided new clinically useful information and/or a new diagnosis, whether it recommended further imaging, or if it missed a diagnosis that was reflected in the orthopaedist's note. The hospital charges associated with the radiology read for each study were also quantified. The charts of 1570 consecutive clinic patients who were seen in the pediatric orthopaedic clinic from January to April, 2012 were reviewed. There were 2509 radiographic studies performed, of which 2264 had both a documented orthopaedist's note and radiologist's read. The radiologist's interpretation added new, clinically important information in 1.0% (23/2264) of these studies. In 1.7% (38/2264) of the studies, it was determined that the radiologist missed the diagnosis or clinically important information that could affect treatment. The total amount of the professional fees charged for the radiologists' interpretations was $87,362. On average, the hospital charges for each occurrence in which the radiologist's read provided an additional diagnosis or clinically important information beyond the orthopaedist's note were $3798. The results of this study suggest that eliminating the requirement to have the radiologist interpret radiographs in the pediatric orthopaedic clinic would have few clinical consequences. Level III-This is a diagnostic retrospective cohort study.

Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning.

PubMed

Osborne, John D; Wyatt, Matthew; Westfall, Andrew O; Willig, James; Bethard, Steven; Gordon, Geoff

2016-11-01

To help cancer registrars efficiently and accurately identify reportable cancer cases. The Cancer Registry Control Panel (CRCP) was developed to detect mentions of reportable cancer cases using a pipeline built on the Unstructured Information Management Architecture - Asynchronous Scaleout (UIMA-AS) architecture containing the National Library of Medicine's UIMA MetaMap annotator as well as a variety of rule-based UIMA annotators that primarily act to filter out concepts referring to nonreportable cancers. CRCP inspects pathology reports nightly to identify pathology records containing relevant cancer concepts and combines this with diagnosis codes from the Clinical Electronic Data Warehouse to identify candidate cancer patients using supervised machine learning. Cancer mentions are highlighted in all candidate clinical notes and then sorted in CRCP's web interface for faster validation by cancer registrars. CRCP achieved an accuracy of 0.872 and detected reportable cancer cases with a precision of 0.843 and a recall of 0.848. CRCP increases throughput by 22.6% over a baseline (manual review) pathology report inspection system while achieving a higher precision and recall. Depending on registrar time constraints, CRCP can increase recall to 0.939 at the expense of precision by incorporating a data source information feature. CRCP demonstrates accurate results when applying natural language processing features to the problem of detecting patients with cases of reportable cancer from clinical notes. We show that implementing only a portion of cancer reporting rules in the form of regular expressions is sufficient to increase the precision, recall, and speed of the detection of reportable cancer cases when combined with off-the-shelf information extraction software and machine learning. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The registry case finding engine: an automated tool to identify cancer cases from unstructured, free-text pathology reports and clinical notes.

PubMed

Hanauer, David A; Miela, Gretchen; Chinnaiyan, Arul M; Chang, Alfred E; Blayney, Douglas W

2007-11-01

The American College of Surgeons mandates the maintenance of a cancer registry for hospitals seeking accreditation. At the University of Michigan Health System, more than 90% of all registry patients are identified by manual review, a method common to many institutions. We hypothesized that an automated computer system could accurately perform this time- and labor-intensive task. We created a tool to automatically scan free-text medical documents for terms relevant to cancer. We developed custom-made lists containing approximately 2,500 terms and phrases and 800 SNOMED codes. Text is processed by the Case Finding Engine (CaFE), and relevant terms are highlighted for review by a registrar and used to populate the registry database. We tested our system by comparing results from the CaFE to those by trained registrars who read through 2,200 pathology reports and marked relevant cases for the registry. The clinical documentation (eg, electronic chart notes) of an additional 476 patients was also reviewed by registrars and compared with the automated process by the CaFE. For pathology reports, the sensitivity for automated case identification was 100%, but specificity was 85.0%. For clinical documentation, sensitivity was 100% and specificity was 73.7%. Types of errors made by the CaFE were categorized to direct additional improvements. Use of the CaFE has resulted in a considerable increase in the number of cases added to the registry each month. The system has been well accepted by our registrars. CaFE can improve the accuracy and efficiency of tumor registry personnel and helps ensure that cancer cases are not overlooked.

Communication: Note on detailed balance in symmetrical quasi-classical models for electronically non-adiabatic dynamics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Miller, William H., E-mail: millerwh@berkeley.edu; Cotton, Stephen J., E-mail: StephenJCotton47@gmail.com

2015-04-07

It is noted that the recently developed symmetrical quasi-classical (SQC) treatment of the Meyer-Miller (MM) model for the simulation of electronically non-adiabatic dynamics provides a good description of detailed balance, even though the dynamics which results from the classical MM Hamiltonian is “Ehrenfest dynamics” (i.e., the force on the nuclei is an instantaneous coherent average over all electronic states). This is seen to be a consequence of the SQC windowing methodology for “processing” the results of the trajectory calculation. For a particularly simple model discussed here, this is shown to be true regardless of the choice of windowing function employedmore » in the SQC model, and for a more realistic full classical molecular dynamics simulation, it is seen to be maintained correctly for very long time.« less

Robert Sylwester on Electronic Media and Brain Development. Windows to the Mind, Volume 2. [Videotape].

ERIC Educational Resources Information Center

Sylwester, Robert

This videotape explores the influence of electronic media on children's cognitive development. Posing the "cyberworld" as both a window to the greater world and a mirror to the students' world, the first part of the video examines electronic media and the brain's response systems. This part notes the brain's two response systems--the…

How Do Residents Spend Their Shift Time? A Time and Motion Study With a Particular Focus on the Use of Computers

PubMed Central

Mamykina, Lena; Vawdrey, David K.; Hripcsak, George

2016-01-01

Purpose To understand how much time residents spend using computers as compared with other activities, and what residents use computers for. Method This time and motion study was conducted in June and July 2010 at NewYork-Presbyterian/Columbia University Medical Center with seven residents (first-, second-, and third-year) on the general medicine service. An experienced observer shadowed residents during a single day shift, captured all their activities using an iPad application, and took field notes. The activities were captured using a validated taxonomy of clinical activities, expanded to describe computer-based activities with a greater level of detail. Results Residents spent 364.5 minutes (50.6%) of their shift time using computers, compared with 67.8 minutes (9.4%) interacting with patients. In addition, they spent 292.3 minutes (40.6%) talking with others in person, 186.0 minutes (25.8%) handling paper notes, 79.7 minutes (11.1%) in rounds, 80.0 minutes (11.1%) walking or waiting, and 54.0 minutes (7.5%) talking on the phone. Residents spent 685 minutes (59.6%) multitasking. Computer-based documentation activities amounted to 189.9 minutes (52.1%) of all computer-based activities time, with 128.7 minutes (35.3%) spent writing notes and 27.3 minutes (7.5%) reading notes composed by others. Conclusions The study showed residents spent considerably more time interacting with computers (over 50% of their shift time), than in direct contact with patients (less than 10% of their shift time). Some of this may be due to an increasing reliance on computing systems for access to patient data, further exacerbated by inefficiencies in the design of the electronic health record. PMID:27028026

How Do Residents Spend Their Shift Time? A Time and Motion Study With a Particular Focus on the Use of Computers.

PubMed

Mamykina, Lena; Vawdrey, David K; Hripcsak, George

2016-06-01

To understand how much time residents spend using computers compared with other activities, and what residents use computers for. This time and motion study was conducted in June and July 2010 at NewYork-Presbyterian/Columbia University Medical Center with seven residents (first-, second-, and third-year) on the general medicine service. An experienced observer shadowed residents during a single day shift, captured all their activities using an iPad application, and took field notes. The activities were captured using a validated taxonomy of clinical activities, expanded to describe computer-based activities with a greater level of detail. Residents spent 364.5 minutes (50.6%) of their shift time using computers, compared with 67.8 minutes (9.4%) interacting with patients. In addition, they spent 292.3 minutes (40.6%) talking with others in person, 186.0 minutes (25.8%) handling paper notes, 79.7 minutes (11.1%) in rounds, 80.0 minutes (11.1%) walking or waiting, and 54.0 minutes (7.5%) talking on the phone. Residents spent 685 minutes (59.6%) multitasking. Computer-based documentation activities amounted to 189.9 minutes (52.1%) of all computer-based activities time, with 128.7 minutes (35.3%) spent writing notes and 27.3 minutes (7.5%) reading notes composed by others. The study showed that residents spent considerably more time interacting with computers (over 50% of their shift time) than in direct contact with patients (less than 10% of their shift time). Some of this may be due to an increasing reliance on computing systems for access to patient data, further exacerbated by inefficiencies in the design of the electronic health record.

Note: Deep UV-pump THz-probe spectroscopy of the excess electron in water.

PubMed

Berger, Arian; Savolainen, Janne; Shalit, Andrey; Hamm, Peter

2017-06-28

In the work of Savolainen et al. [Nat. Chem. 6, 697 (2014)], we studied the excess (hydrated) electron in water with the help of transient THz spectroscopy, which is a sensitive probe of its delocalization length. In that work, we used laser pulses at 800 nm, 400 nm, and 267 nm for photoionization. While the detachment mechanism for 400 nm and 267 nm is complicated and requires a concerted nuclear rearrangement, we provided evidence that 800 nm pumping excites the excess electron directly and vertically into the conduction band, despite a highly nonlinear field-ionization process. In the present note, we extend that work to 200 nm pumping, which provides a much cleaner way to reach the conduction band. We show that the detachment pathways upon 200 nm and 800 nm pumping are in essence the same, as indicated by the same initial size of the electron wavefunction and the same time scales for the collapse of the wavefunction and geminate recombination.

Observation of auroral secondary electrons in the Jovian magnetosphere

NASA Technical Reports Server (NTRS)

Mcnutt, Ralph L., Jr.; Bagenal, Fran; Thorne, Richard M.

1990-01-01

Localized enhancements in the flux of suprathermal electrons were observed by the Voyager 1 Plasma Science instrument near the outer boundary of the Io plasma torus between L = 7.5 and l = 10. This localization, which occurs within the general region of hot electrons noted by Sittler and Strobel (1987), and the spectral characteristics of the observed electrons are consistent with secondary (backscattered) electron production by intense Jovian auroral energetic particle precipitation and support the hypothesis that such electrons may contribute to the processes that heat the plasma in this region of the magnetosphere.

Application Note: Power Grid Modeling With Xyce.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sholander, Peter E.

This application note describes how to model steady-state power flows and transient events in electric power grids with the SPICE-compatible Xyce TM Parallel Electronic Simulator developed at Sandia National Labs. This application notes provides a brief tutorial on the basic devices (branches, bus shunts, transformers and generators) found in power grids. The focus is on the features supported and assumptions made by the Xyce models for power grid elements. It then provides a detailed explanation, including working Xyce netlists, for simulating some simple power grid examples such as the IEEE 14-bus test case.

EEE Links, Volume 9, No. 1, January 2003 Focus on Plastic Parts

NASA Technical Reports Server (NTRS)

2003-01-01

The January 2003 issue of Electronic, Electromechanical, Electric (EEE) Links is presented. The Programmable Logic Application Notes column has been reinstated in this newsletter. Written by Rich Katz of NASA's Office of Logic Design (OLD), the application notes offer technical tips intended to prevent flight design errors and enhance research, development, and use of programmable logic and elements for space flight applications. An archive of these notes columns from previous issues of EEE Links is available at http://www.klabs.org/richcontent/eeelink s/EEE Links.htm.

Intraerythrocytic iridovirus in central bearded dragons (Pogona vitticeps).

PubMed

Grosset, Claire; Wellehan, James F X; Owens, Sean D; McGraw, Sabrina; Gaffney, Patricia M; Foley, Janet; Childress, April L; Yun, Susan; Malm, Kirsten; Groff, Joseph M; Paul-Murphy, Joanne; Weber, E Scott

2014-05-01

Three adult central bearded dragons (Pogona vitticeps) originating from a commercial breeding facility presented with clinical signs, including anorexia, dehydration, white multifocal lesions on the dorsal aspect of the tongue, blepharospasm, and weight loss. In 1 of 3 lizards, a marked regenerative anemia was noted, and all 3 bearded dragons had erythrocytic intracytoplasmic inclusion bodies. Nine bearded dragons housed in contact also had identical, but fewer intraerythrocytic inclusions. Inclusion bodies examined by electron microscopy had particles consistent with iridoviruses. Attempts to culture the virus were unsuccessful; however, amplification and sequencing of regions of the viral DNA polymerase by polymerase chain reaction confirmed the presence of an iridovirus. One of the bearded dragons died, while the 2 others showing clinical signs were euthanized. The remaining 9 infected bearded dragons of the teaching colony were also euthanized. Postmortem examination revealed a moderate, multifocal, lymphoplasmacytic or mononuclear adenitis of the tongue in the 3 bearded dragons, and a lymphohistiocytic hepatitis with bacterial granulomas in 2 lizards. © 2014 The Author(s).

Fractal-like Distributions over the Rational Numbers in High-throughput Biological and Clinical Data

NASA Astrophysics Data System (ADS)

Trifonov, Vladimir; Pasqualucci, Laura; Dalla-Favera, Riccardo; Rabadan, Raul

2011-12-01

Recent developments in extracting and processing biological and clinical data are allowing quantitative approaches to studying living systems. High-throughput sequencing (HTS), expression profiles, proteomics, and electronic health records (EHR) are some examples of such technologies. Extracting meaningful information from those technologies requires careful analysis of the large volumes of data they produce. In this note, we present a set of fractal-like distributions that commonly appear in the analysis of such data. The first set of examples are drawn from a HTS experiment. Here, the distributions appear as part of the evaluation of the error rate of the sequencing and the identification of tumorogenic genomic alterations. The other examples are obtained from risk factor evaluation and analysis of relative disease prevalence and co-mordbidity as these appear in EHR. The distributions are also relevant to identification of subclonal populations in tumors and the study of quasi-species and intrahost diversity of viral populations.

Discovering Peripheral Arterial Disease Cases from Radiology Notes Using Natural Language Processing

PubMed Central

Savova, Guergana K.; Fan, Jin; Ye, Zi; Murphy, Sean P.; Zheng, Jiaping; Chute, Christopher G.; Kullo, Iftikhar J.

2010-01-01

As part of the Electronic Medical Records and Genomics Network, we applied, extended and evaluated an open source clinical Natural Language Processing system, Mayo’s Clinical Text Analysis and Knowledge Extraction System, for the discovery of peripheral arterial disease cases from radiology reports. The manually created gold standard consisted of 223 positive, 19 negative, 63 probable and 150 unknown cases. Overall accuracy agreement between the system and the gold standard was 0.93 as compared to a named entity recognition baseline of 0.46. Sensitivity for the positive, probable and unknown cases was 0.93–0.96, and for the negative cases was 0.72. Specificity and negative predictive value for all categories were in the 90’s. The positive predictive value for the positive and unknown categories was in the high 90’s, for the negative category was 0.84, and for the probable category was 0.63. We outline the main sources of errors and suggest improvements. PMID:21347073

Bootstrapping a de-identification system for narrative patient records: cost-performance tradeoffs.

PubMed

Hanauer, David; Aberdeen, John; Bayer, Samuel; Wellner, Benjamin; Clark, Cheryl; Zheng, Kai; Hirschman, Lynette

2013-09-01

We describe an experiment to build a de-identification system for clinical records using the open source MITRE Identification Scrubber Toolkit (MIST). We quantify the human annotation effort needed to produce a system that de-identifies at high accuracy. Using two types of clinical records (history and physical notes, and social work notes), we iteratively built statistical de-identification models by annotating 10 notes, training a model, applying the model to another 10 notes, correcting the model's output, and training from the resulting larger set of annotated notes. This was repeated for 20 rounds of 10 notes each, and then an additional 6 rounds of 20 notes each, and a final round of 40 notes. At each stage, we measured precision, recall, and F-score, and compared these to the amount of annotation time needed to complete the round. After the initial 10-note round (33min of annotation time) we achieved an F-score of 0.89. After just over 8h of annotation time (round 21) we achieved an F-score of 0.95. Number of annotation actions needed, as well as time needed, decreased in later rounds as model performance improved. Accuracy on history and physical notes exceeded that of social work notes, suggesting that the wider variety and contexts for protected health information (PHI) in social work notes is more difficult to model. It is possible, with modest effort, to build a functioning de-identification system de novo using the MIST framework. The resulting system achieved performance comparable to other high-performing de-identification systems. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

78 FR 29204 - Notice of Request for Revisions of an Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-17

... public transportation systems. In two subsequent years, The Transportation, Housing and Urban Development... DEPARTMENT OF TRANSPORTATION Federal Transit Administration [FTA Docket No. FTA-2013-0025] Notice... electronic docket site. (Note: The U.S. Department of Transportation's (DOT's) electronic docket is no longer...

Maximizing the Effectiveness of Electronic Presentations.

ERIC Educational Resources Information Center

Quible, Zane K.

2002-01-01

Notes that the manner in which the author was using the incorporation of electronic slides into his lectures allowed students to become disengaged from the learning process. Presents strategies to combat disengagement and strategies to supplement textbook slides. Concludes that student disengagement can be counteracted with limited expenditure of…

48 CFR 23.704 - Electronic product environmental assessment tool.

Code of Federal Regulations, 2014 CFR

2014-10-01

... REGULATION SOCIOECONOMIC PROGRAMS ENVIRONMENT, ENERGY AND WATER EFFICIENCY, RENEWABLE ENERGY TECHNOLOGIES... Electrical and Electronics Engineers, Inc., on March 5, 2010; October 19, 2012, and October 19, 2012.... 272 note), the “National Technology Transfer and Advancement Act of 1995,” (see 11.102(c)); (iii...

Electron and Ion Conductivity Calculations using the Model of Lee and More

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hayes, John C.

The following notes describe the ARES implementation of the inverse of the electron conduction coefficient, using the model of Lee and More, Physics of Fluids 27, page 1273, 1984. An addendum describing the modifications for analogous ion conduction coeffiecient appears at the bottom.

12 CFR 205.11 - Procedures for resolving errors.

Code of Federal Regulations, 2010 CFR

2010-01-01

... institution's findings and shall note the consumer's right to request the documents that the institution... transfer; (ii) An incorrect electronic fund transfer to or from the consumer's account; (iii) The omission... made by the financial institution relating to an electronic fund transfer; (v) The consumer's receipt...

The Research Implications of Prostate Specific Antigen Registry Errors: Data from the Veterans Health Administration.

PubMed

Guo, David P; Thomas, I-Chun; Mittakanti, Harsha R; Shelton, Jeremy B; Makarov, Danil V; Skolarus, Ted A; Cooperberg, Mathew R; Sonn, Geoffrey A; Chung, Benjamin I; Brooks, James D; Leppert, John T

2018-04-06

We sought to characterize the effects of prostate specific antigen registry errors on clinical research by comparing cohorts based on cancer registry prostate specific antigen values with those based directly on results in the electronic health record. We defined sample cohorts of men with prostate cancer using data from the VHA (Veterans Health Administration), including those with a prostate specific antigen value less than 4.0, 4.0 to 10.0, 10.0 to 20.0 and 20.0 to 98.0 ng/ml, respectively. We compared the composition of each cohort and overall patient survival when using PSA values from the VACCR (Veteran Affairs Central Cancer Registry) vs the gold standard electronic health record laboratory file results. There was limited agreement among cohorts when defined by cancer registry PSA values vs the laboratory file of the electronic health record. The least agreement of 58% was seen in patients with PSA less than 4.0 ng/ml and greatest agreement of 89% was noted among patients with PSA between 4.0 and 10.0 ng/ml. In each cohort patients assigned to a cohort based only on the cancer registry PSA value had significantly different overall survival when compared with patients assigned based on registry and laboratory file PSA values. Cohorts based exclusively on cancer registry PSA values may have high rates of misclassification that can introduce concerning differences in key characteristics and result in measurable differences in clinical outcomes. Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

A hospital-wide transition from paper to digital problem-oriented clinical notes. A descriptive history and cross-sectional survey of use, usability, and satisfaction.

PubMed

Cillessen, Felix H J M; de Vries Robbé, Pieter F; Biermans, Marion C J

2017-05-17

To evaluate the use, usability, and physician satisfaction of a locally developed problem-oriented clinical notes application that replaced paper-based records in a large Dutch university medical center. Using a clinical notes database and an application event log file and a cross-sectional survey of usability, authors retrospectively analyzed system usage for medical specialties, users, and patients over 4 years. A standardized questionnaire measured usability. Authors analyzed the effects of sex, age, professional experience, training hours, and medical specialty on user satisfaction via univariate analysis of variance. Authors also examined the correlation between user satisfaction in relation to users' intensity of use of the application. In total 1,793 physicians used the application to record progress notes for 219,755 patients. The overall satisfaction score was 3.2 on a scale from 1 (highly dissatisfied) to 5 (highly satisfied). A statistically significant difference occurred in satisfaction by medical specialty, but no statistically significant differences in satisfaction took place by sex, age, professional experience, or training hours. Intensity of system use did not correlate with physician satisfaction. By two years after the start of the implementation, all medical specialties utilized the clinical notes application. User satisfaction was neutral (3.2 on a 1-5 scale). Authors believe that the significant factors facilitating this transition mirrored success factors reported by other groups: a generic, consistent, and transparent design of the application; intensive collaboration; continuous monitoring; and an incremental rollout.

Short-term outcomes following implementation of a dedicated young adult congenital heart disease transition program.

PubMed

Vaikunth, Sumeet S; Williams, Roberta G; Uzunyan, Merujan Y; Tun, Han; Barton, Cheryl; Chang, Philip M

2018-01-01

Transition from pediatric to adult care is a critical time for patients with congenital heart disease. Lapses in care can lead to poor outcomes, including increased mortality. Formal transition clinics have been implemented to improve success of transferring care from pediatric to adult providers; however, data regarding outcomes remain limited. We sought to evaluate outcomes of transfer within a dedicated transition clinic for young adult patients with congenital heart disease. We performed a retrospective analysis of all 73 patients seen in a dedicated young adult congenital heart disease transition clinic from January 2012 to December 2015 within a single academic institution that delivered pediatric and adult care at separate children's and adult hospitals, respectively. Demographic characteristics including congenital heart disease severity, gender, age, presence of comorbidities, presence of cardiac implantable electronic devices, and type of insurance were correlated to success of transfer. Rate of successful transfer was evaluated, and multivariate analysis was performed to determine which demographic variables were favorably associated with transfer. Thirty-nine percent of patients successfully transferred from pediatric to adult services during the study period. Severe congenital heart disease (OR 4.44, 95% CI 1.25-15.79, P = .02) and presence of a cardiac implantable electronic device (OR 4.93, 95% CI 1.18-20.58, P = .03) correlated with transfer. Trends favoring successful transfer with presence of comorbidities and private insurance were also noted. Despite a dedicated transition clinic, successful transfer rates remained relatively low though comparable to previously published rates. Severity of disease and presence of implantable devices correlated with successful transfer. Other obstacles to transfer remain and require combined efforts from pediatric and adult care systems, insurance carriers, and policy makers to improve transfer outcomes. © 2017 Wiley Periodicals, Inc.

Electronic Medical Record-Based Radiation Oncology Toxicity Recording Instrument Aids Benchmarking and Quality Improvement in the Clinic.

PubMed

Albuquerque, Kevin; Rodgers, Kellie; Spangler, Ann; Rahimi, Asal; Willett, DuWayne

2018-03-01

The on-treatment visit (OTV) for radiation oncology is essential for patient management. Radiation toxicities recorded during the OTV may be inconsistent because of the use of free text and the lack of treatment site-specific templates. We developed a radiation oncology toxicity recording instrument (ROTOX) in a health system electronic medical record (EMR). Our aims were to assess improvement in documentation of toxicities and to develop clinic toxicity benchmarks. A ROTOX that was based on National Cancer Institute Common Terminology Criteria for Adverse Events (version 4.0) with flow-sheet functionality was developed in the EMR. Improvement in documentation was assessed at various time intervals. High-grade toxicities (ie, grade ≥ 3 by CTCAE) by site were audited to develop benchmarks and to track nursing and physician actions taken in response to these. A random sample of OTV notes from each clinic physician before ROTOX implementation was reviewed and assigned a numerical document quality score (DQS) that was based on completeness and comprehensiveness of toxicity grading. The mean DQS improved from an initial level of 41% to 99% (of the maximum possible DQS) when resampled at 6 months post-ROTOX. This high-level DQS was maintained 3 years after ROTOX implementation at 96% of the maximum. For months 7 to 9 after implementation (during a 3-month period), toxicity grading was recorded in 4,443 OTVs for 698 unique patients; 107 episodes of high-grade toxicity were identified during this period, and toxicity-specific intervention was documented in 95%. An EMR-based ROTOX enables consistent recording of treatment toxicity. In a uniform sample of patients, local population toxicity benchmarks can be developed, and clinic response can be tracked.

Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study.

PubMed

Lee, Theresa M; Tu, Karen; Wing, Laura L; Gershon, Andrea S

2017-05-15

Little is known about using electronic medical records to identify patients with chronic obstructive pulmonary disease to improve quality of care. Our objective was to develop electronic medical record algorithms that can accurately identify patients with obstructive pulmonary disease. A retrospective chart abstraction study was conducted on data from the Electronic Medical Record Administrative data Linked Database (EMRALD ® ) housed at the Institute for Clinical Evaluative Sciences. Abstracted charts provided the reference standard based on available physician-diagnoses, chronic obstructive pulmonary disease-specific medications, smoking history and pulmonary function testing. Chronic obstructive pulmonary disease electronic medical record algorithms using combinations of terminology in the cumulative patient profile (CPP; problem list/past medical history), physician billing codes (chronic bronchitis/emphysema/other chronic obstructive pulmonary disease), and prescriptions, were tested against the reference standard. Sensitivity, specificity, and positive/negative predictive values (PPV/NPV) were calculated. There were 364 patients with chronic obstructive pulmonary disease identified in a 5889 randomly sampled cohort aged ≥ 35 years (prevalence = 6.2%). The electronic medical record algorithm consisting of ≥ 3 physician billing codes for chronic obstructive pulmonary disease per year; documentation in the CPP; tiotropium prescription; or ipratropium (or its formulations) prescription and a chronic obstructive pulmonary disease billing code had sensitivity of 76.9% (95% CI:72.2-81.2), specificity of 99.7% (99.5-99.8), PPV of 93.6% (90.3-96.1), and NPV of 98.5% (98.1-98.8). Electronic medical record algorithms can accurately identify patients with chronic obstructive pulmonary disease in primary care records. They can be used to enable further studies in practice patterns and chronic obstructive pulmonary disease management in primary care. NOVEL ALGORITHM SEARCH TECHNIQUE: Researchers develop an algorithm that can accurately search through electronic health records to find patients with chronic lung disease. Mining population-wide data for information on patients diagnosed and treated with chronic obstructive pulmonary disease (COPD) in primary care could help inform future healthcare and spending practices. Theresa Lee at the University of Toronto, Canada, and colleagues used an algorithm to search electronic medical records and identify patients with COPD from doctors' notes, prescriptions and symptom histories. They carefully adjusted the algorithm to improve sensitivity and predictive value by adding details such as specific medications, physician codes related to COPD, and different combinations of terminology in doctors' notes. The team accurately identified 364 patients with COPD in a randomly-selected cohort of 5889 people. Their results suggest opportunities for broader, informative studies of COPD in wider populations.

Front-Row Seat at the IPY: The Field Notes Electronic Newsletter

NASA Astrophysics Data System (ADS)

Rithner, P. K.; Zager, S. D.; Garcia-Lavigne, D. N.

2007-12-01

As employees of Polar Field Services/VPR, the arctic logistics provider to the US National Science Foundation, we bear witness to the exploration, documentation, and celebration of the International Polar Year (IPY). Our front- row vantage point (logisticians working with field scientists) offers us a rare opportunity to report on developments at the frontiers of polar research and to describe how scientists work in the Arctic. Our reporting mechanism is field notes, a weekly (summer) to monthly (winter) electronic digest of information about the IPY research we support. Each issue showcases a short "cover" piece highlighting science projects or profiling arctic program participants. In addition, field notes offers news updates, short interviews, and blog-style dispatches contributed by researchers and support personnel. Wherever possible, we include URLs so readers may find more information via the Web: we link to an online database of projects we maintain for the NSF, to university Web sites, project blogs, and so on. We aim to inform the interested layperson about the myriad of activity in the IPY. We like to show that arctic science is interesting, relevant--and a great adventure. We've found field notes to be an excellent outreach venue. By no means a slick media outlet, field notes is published "on the side" by a small but dedicated group of employees who are endlessly fascinated by, and who enjoy an engaging perspective on, contemporary arctic research. Newsletter

Brainstorming about next-generation computer-based documentation: an AMIA clinical working group survey.

PubMed

Johnson, Kevin B; Ravich, William J; Cowan, John A

2004-09-01

Computer-based software to record histories, physical exams, and progress or procedure notes, known as computer-based documentation (CBD) software, has been touted as an important addition to the electronic health record. The functionality of CBD systems has remained static over the past 30 years, which may have contributed to the limited adoption of these tools. Early users of this technology, who have tried multiple products, may have insight into important features to be considered in next-generation CBD systems. We conducted a cross-sectional, observational study of the clinical working group membership of the American Medical Informatics Association (AMIA) to generate a set of features that might improve adoption of next-generation systems. The study was conducted online over a 4-month period; 57% of the working group members completed the survey. As anticipated, CBD tool use was higher (53%) in this population than in the US physician offices. The most common methods of data entry employed keyboard and mouse, with agreement that these modalities worked well. Many respondents had experience with pre-printed data collection forms before interacting with a CBD system. Respondents noted that CBD improved their ability to document large amounts of information, allowed timely sharing of information, enhanced patient care, and enhanced medical information with other clinicians (all P < 0.001). Respondents also noted some important but absent features in CBD, including the ability to add images, get help, and generate billing information. The latest generation of CBD systems is being used successfully by early adopters, who find that these tools confer many advantages over the approaches to documentation that they replaced. These users provide insights that may improve successive generations of CBD tools. Additional surveys of CBD non-users and failed adopters will be necessary to provide other useful insights that can address barriers to the adoption of CBD by less computer literate physicians.

Beyond Readability: Investigating Coherence of Clinical Text for Consumers

PubMed Central

Hetzel, Scott; Dalrymple, Prudence; Keselman, Alla

2011-01-01

Background A basic tenet of consumer health informatics is that understandable health resources empower the public. Text comprehension holds great promise for helping to characterize consumer problems in understanding health texts. The need for efficient ways to assess consumer-oriented health texts and the availability of computationally supported tools led us to explore the effect of various text characteristics on readers’ understanding of health texts, as well as to develop novel approaches to assessing these characteristics. Objective The goal of this study was to compare the impact of two different approaches to enhancing readability, and three interventions, on individuals’ comprehension of short, complex passages of health text. Methods Participants were 80 university staff, faculty, or students. Each participant was asked to “retell” the content of two health texts: one a clinical trial in the domain of diabetes mellitus, and the other typical Visit Notes. These texts were transformed for the intervention arms of the study. Two interventions provided terminology support via (1) standard dictionary or (2) contextualized vocabulary definitions. The third intervention provided coherence improvement. We assessed participants’ comprehension of the clinical texts through propositional analysis, an open-ended questionnaire, and analysis of the number of errors made. Results For the clinical trial text, the effect of text condition was not significant in any of the comparisons, suggesting no differences in recall, despite the varying levels of support (P = .84). For the Visit Note, however, the difference in the median total propositions recalled between the Coherent and the (Original + Dictionary) conditions was significant (P = .04). This suggests that participants in the Coherent condition recalled more of the original Visit Notes content than did participants in the Original and the Dictionary conditions combined. However, no difference was seen between (Original + Dictionary) and Vocabulary (P = .36) nor Coherent and Vocabulary (P = .62). No statistically significant effect of any document transformation was found either in the open-ended questionnaire (clinical trial: P = .86, Visit Note: P = .20) or in the error rate (clinical trial: P = .47, Visit Note: P = .25). However, post hoc power analysis suggested that increasing the sample size by approximately 6 participants per condition would result in a significant difference for the Visit Note, but not for the clinical trial text. Conclusions Statistically, the results of this study attest that improving coherence has a small effect on consumer comprehension of clinical text, but the task is extremely labor intensive and not scalable. Further research is needed using texts from more diverse clinical domains and more heterogeneous participants, including actual patients. Since comprehensibility of clinical text appears difficult to automate, informatics support tools may most productively support the health care professionals tasked with making clinical information understandable to patients. PMID:22138127

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

PubMed Central

Zheng, Jiaping; Yu, Hong

2016-01-01

Background Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients’ notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. Objective We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. Methods First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians’ agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Results Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen’s kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS’s performance substantially. Conclusions FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. PMID:27903489

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.

PubMed

Chen, Jinying; Zheng, Jiaping; Yu, Hong

2016-11-30

Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians' agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen's kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS's performance substantially. FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. ©Jinying Chen, Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.11.2016.

Measuring ward round quality in urology.

PubMed

Darbyshire, Daniel; Barrett, Charlotte; Ross, David; Shackley, David

2015-01-01

Ward rounds are the traditional process by which clinical information is interpreted and management plans made in the inpatient setting and the only time during which patient-doctor interaction can reliably occur. Efforts to improve quality and safety have started looking at the ward round but this has mainly been in the acute medical setting. To begin the quality improvement process for Urological ward rounds. Twenty indicators thought to relate to quality were recorded for every weekday ward round by the Urology team for one month. Twenty ward rounds, 93 patient encounters, were reviewed. A consultant was present for 37% of the patient encounters. 84% of observation charts were reviewed; drug charts 28% and antibiotics 70%. Plans were communicated to the doctors, patient and nursing staff. All notes were typed directly onto the electronic system, 20% of notes were checked by the lead clinician. Mean time per patient was 6 minutes. By starting a discussion about ward rounds we aim to align the process with the broader values of the organisation. Ward rounds can be the cornerstone of delivering safe, clean and personal care and measuring this process is vital to understanding efforts to improve them.

Placenta previa: an outcome-based cohort study in a contemporary obstetric population.

PubMed

Lal, Ann K; Hibbard, Judith U

2015-08-01

The objective of the study is to characterize the maternal and neonatal morbidities of women with placenta previa. This retrospective group study used the Consortium on Safe Labor electronic database, including 12 clinical centers, and 19 hospitals. Patients with placenta previa noted at the time of delivery were included. Maternal and neonatal variables were compared to a control group of women undergoing cesarean delivery with no previa. Logistic regression and general linear regression were used for the analysis, with p < 0.05 significance. There were 19,069 patients in the study: 452 in the placenta previa group and 18,617 in the control group. Neonates born to mothers with placenta previa had lower gestational ages and birth weights. In univariate analysis only, these neonates were at increased risk of lower 5 min Apgar scores, neonatal intensive care unit admission, anemia, respiratory distress syndrome, mechanical ventilation, and intraventricular hemorrhage. There was no association of placenta previa with small for gestational age infants, congenital anomalies or death. As previously shown, women with placenta previa have significantly more maternal morbidities. Increased maternal morbidity was noted; however, only those neonatal morbidities associated with preterm delivery occurred in the placenta previa group.

Enhancing mHealth Technology in the PCMH Environment to Activate Chronic Care Patients

DTIC Science & Technology

2017-09-01

AVAILABILITY STATEMENT Approved for Public Release; Distribution Unlimited 13. SUPPLEMENTARY NOTES - 14. ABSTRACT - The potential of mobile health (mHealth...biometric data, electronic coaching, electronic-based health education, secure e-mail communication between visits, and electronic collection of lifestyle...influence patient activation and self-care activities. 15. SUBJECT TERMS MHCE, Mobile Health Care Environment mHealth, mobile health MHS, Military Health

Evaluation of Fostering Students' Creativity in Preparing Aided Recalls for Revision Courses Using Electronic Revision and Recapitulation Tools 2.0

ERIC Educational Resources Information Center

Christ, Oliver; Weber, Christoph; Sato, Toshihiko

2012-01-01

In this study, the electronic revision and recapitulation tools 2.0 (EREP 2.0) were used to foster creative moments while creating aided recalls (ARs) (pictures electronic notes etc.). Creative and critical thinking is associated with vital skills which enable students to deal with often complex knowledge domains through an informal way of…

Bank note recognition for the vision impaired.

PubMed

Hinwood, A; Preston, P; Suaning, G J; Lovell, N H

2006-06-01

Blind Australians find great difficulty in recognising bank notes. Each note has the same feel, with no Braille markings, irregular edges or other tangible features. In Australia, there is only one device available that can assist blind people recognise their notes. Internationally, there are devices available; however they are expensive, complex and have not been developed to cater for Australian currency. This paper discusses a new device, the MoneyTalker that takes advantage of the largely different colours and patterns on each Australian bank note and recognises the notes electronically, using the reflection and transmission properties of light. Different coloured lights are transmitted through the inserted note and the corresponding sensors detect distinct ranges of values depending on the colour of the note. Various classification algorithms were studied and the final algorithm was chosen based on accuracy and speed of recognition. The MoneyTalker has shown an accuracy of more than 99%. A blind subject has tested the device and believes that it is usable, compact and affordable. Based on the devices that are available currently in Australia, the MoneyTalker is an effective alternative in terms of accuracy and usability.

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

PubMed

Weng, Wei-Hung; Wagholikar, Kavishwar B; McCray, Alexa T; Szolovits, Peter; Chueh, Henry C

2017-12-01

The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natural language processing (NLP) pipeline and developed medical subdomain classifiers based on the content of the note. We constructed the pipeline using the clinical NLP system, clinical Text Analysis and Knowledge Extraction System (cTAKES), the Unified Medical Language System (UMLS) Metathesaurus, Semantic Network, and learning algorithms to extract features from two datasets - clinical notes from Integrating Data for Analysis, Anonymization, and Sharing (iDASH) data repository (n = 431) and Massachusetts General Hospital (MGH) (n = 91,237), and built medical subdomain classifiers with different combinations of data representation methods and supervised learning algorithms. We evaluated the performance of classifiers and their portability across the two datasets. The convolutional recurrent neural network with neural word embeddings trained-medical subdomain classifier yielded the best performance measurement on iDASH and MGH datasets with area under receiver operating characteristic curve (AUC) of 0.975 and 0.991, and F1 scores of 0.845 and 0.870, respectively. Considering better clinical interpretability, linear support vector machine-trained medical subdomain classifier using hybrid bag-of-words and clinically relevant UMLS concepts as the feature representation, with term frequency-inverse document frequency (tf-idf)-weighting, outperformed other shallow learning classifiers on iDASH and MGH datasets with AUC of 0.957 and 0.964, and F1 scores of 0.932 and 0.934 respectively. We trained classifiers on one dataset, applied to the other dataset and yielded the threshold of F1 score of 0.7 in classifiers for half of the medical subdomains we studied. Our study shows that a supervised learning-based NLP approach is useful to develop medical subdomain classifiers. The deep learning algorithm with distributed word representation yields better performance yet shallow learning algorithms with the word and concept representation achieves comparable performance with better clinical interpretability. Portable classifiers may also be used across datasets from different institutions.

Expression and Association Rights of School Employees in Electronic Environments

ERIC Educational Resources Information Center

Bathon, Justin M.

2012-01-01

Many of the recent legal decisions regarding public employee expression, particularly in electronic environments, run counter to the culture being facilitated by the Internet. This article uses a legal analysis to examine recent decisions and then considers those legal positions within the context of digital expression. (Contains 2 notes.)

Teaching Technical Report Writing

ERIC Educational Resources Information Center

De Pasquale, Joseph A.

1977-01-01

A high school electronics teacher describes the integration of technical report writing in the electronics program for trade and industrial students. He notes that the report writing rather than just recording data seemed to improve student laboratory experience but further improvements in the program are needed. A sample lab report is included.…

Competency Exams for Electronics/Instrumentation Occupations. Student and Instructor Manuals.

ERIC Educational Resources Information Center

Matson, James; Stokes, Tad

This document contains 20 competency-based examinations with student and instructor manuals for electronics and instrumentation occupations. For each of the examinations, the student manual contains the following: the competency, the performance objective, directions, the materials and equipment needed, a space to note time started and time…

Machine Intelligence, a Foreword: The Brain as Electronic Circuitry; Electronic Circuitry as a Brain

DTIC Science & Technology

1992-06-01

Precribed byv ANSi Sto Z39-!8 296-.102 TABLE OF CONTENTS THE BOTTO M LINE ............................................................. I BACKG RO UN D...DIRECTOR US ARMY BALLISTIC RESEARCH LABORATORY ATTN: SLCBR-IB-M (DR. BRUCE BURNS ) 1 ABERDEEN PROVING GROUND, MD 21005-5066 NOTE: PLEASE NOTIFY COMMANDER

Transvaginal laparoscopically assisted endoscopic cholecystectomy: preliminary clinical results for a series of 43 cases in China.

PubMed

Niu, Jun; Song, Wei; Yan, Ming; Fan, Wei; Niu, Weibo; Liu, Enyu; Peng, Cheng; Lin, Pengfei; Li, Peng; Khan, Abdul Qadir

2011-04-01

Transvaginal cholecystectomy has been performed successfully at several research institutions worldwide using natural orifice transluminal endoscopic surgery (NOTES) techniques. However, it is a growing new surgical concept in China. Several technical challenges hinder the safe clinical application of NOTES. This study investigated transvaginal endoscopic cholecystectomy performed with the assistance of a single umbilical trocar and achieved helpful initial clinical experience. From May 2009 to April 2010, a total of 43 transvaginal human cholecystectomies were performed. A single umbilical trocar was used for safe access and laparoscopic assistance during the operation. After the gallbladder had been removed through the vagina, the colpotomy was closed with absorbable stitches under direct vision. In addition, Student's t-test was performed for two samples to estimate the superiority of NOTES over a conventional laparoscopic cholecystectomy (LC) operation. The procedure was successfully completed for all the patients. No intra- or post-operative complications occurred. The patients recovered promptly after surgery, and all were satisfied with ideal cosmetic outcomes. The postoperative pain, hospital stay, and cost of hospitalization with NOTES were much less than with conventional LC operations. Although endoscopic instruments specifically designed for NOTES are not available, the addition of an umbilical trocar is an optimal way to allow safe performance of NOTES procedures in an easily reproducible manner. The authors' initial experience demonstrates that this hybrid technique is potentially feasible and effective for reducing postoperative pain and recovery times while improving the cosmetic results of transvaginal cholecystectomy.

Note: Cold spectra of the electronic transition A{sup 2}Σ{sup +}-X{sup 2}Π of N{sub 2}O{sup +} radical: High resolution analysis of the bands 000-100, 100-100, and 001-101

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lessa, L. L.; Martins, A. S.; Fellows, C. E., E-mail: fellows@if.uff.br

2015-10-28

In this note, three vibrational bands of the electronic transition A{sup 2}Σ{sup +}-X{sup 2}Π of the N{sub 2}O{sup +} radical (000-100, 100-100, and 001-101) were theoretically analysed. Starting from Hamiltonian models proposed for this kind of molecule, their parameters were calculated using a Levenberg-Marquardt fit procedure in order to reduce the root mean square deviation from the experimental transitions below to 0.01 cm{sup −1}. The main objective of this work is to obtain new and reliable values for rotational constant B″ and the spin-orbit interaction parameter A of the analysed vibrational levels of the X{sup 2}Π electronic state of thismore » molecule.« less

Efficacy of an evidence-based clinical decision support in primary care practices: a randomized clinical trial.

PubMed

McGinn, Thomas G; McCullagh, Lauren; Kannry, Joseph; Knaus, Megan; Sofianou, Anastasia; Wisnivesky, Juan P; Mann, Devin M

2013-09-23

There is consensus that incorporating clinical decision support into electronic health records will improve quality of care, contain costs, and reduce overtreatment, but this potential has yet to be demonstrated in clinical trials. To assess the influence of a customized evidence-based clinical decision support tool on the management of respiratory tract infections and on the effectiveness of integrating evidence at the point of care. In a randomized clinical trial, we implemented 2 well-validated integrated clinical prediction rules, namely, the Walsh rule for streptococcal pharyngitis and the Heckerling rule for pneumonia. INTERVENTIONS AND MAIN OUTCOMES AND MEASURES: The intervention group had access to the integrated clinical prediction rule tool and chose whether to complete risk score calculators, order medications, and generate progress notes to assist with complex decision making at the point of care. The intervention group completed the integrated clinical prediction rule tool in 57.5% of visits. Providers in the intervention group were significantly less likely to order antibiotics than the control group (age-adjusted relative risk, 0.74; 95% CI, 0.60-0.92). The absolute risk of the intervention was 9.2%, and the number needed to treat was 10.8. The intervention group was significantly less likely to order rapid streptococcal tests compared with the control group (relative risk, 0.75; 95% CI, 0.58-0.97; P= .03). The integrated clinical prediction rule process for integrating complex evidence-based clinical decision report tools is of relevant importance for national initiatives, such as Meaningful Use. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01386047.

Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.

PubMed

Hoogendoorn, Mark; Szolovits, Peter; Moons, Leon M G; Numans, Mattijs E

2016-05-01

Machine learning techniques can be used to extract predictive models for diseases from electronic medical records (EMRs). However, the nature of EMRs makes it difficult to apply off-the-shelf machine learning techniques while still exploiting the rich content of the EMRs. In this paper, we explore the usage of a range of natural language processing (NLP) techniques to extract valuable predictors from uncoded consultation notes and study whether they can help to improve predictive performance. We study a number of existing techniques for the extraction of predictors from the consultation notes, namely a bag of words based approach and topic modeling. In addition, we develop a dedicated technique to match the uncoded consultation notes with a medical ontology. We apply these techniques as an extension to an existing pipeline to extract predictors from EMRs. We evaluate them in the context of predictive modeling for colorectal cancer (CRC), a disease known to be difficult to diagnose before performing an endoscopy. Our results show that we are able to extract useful information from the consultation notes. The predictive performance of the ontology-based extraction method moves significantly beyond the benchmark of age and gender alone (area under the receiver operating characteristic curve (AUC) of 0.870 versus 0.831). We also observe more accurate predictive models by adding features derived from processing the consultation notes compared to solely using coded data (AUC of 0.896 versus 0.882) although the difference is not significant. The extracted features from the notes are shown be equally predictive (i.e. there is no significant difference in performance) compared to the coded data of the consultations. It is possible to extract useful predictors from uncoded consultation notes that improve predictive performance. Techniques linking text to concepts in medical ontologies to derive these predictors are shown to perform best for predicting CRC in our EMR dataset. Copyright © 2016 Elsevier B.V. All rights reserved.

Open Globe Injury Patient Identification in Warfare Clinical Notes1

PubMed Central

Apostolova, Emilia; White, Helen A.; Morris, Patty A.; Eliason, David A.; Velez, Tom

2017-01-01

The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems which include documentation of care while in combat, and develop methods for comprehensive and reliable Open Globe Injury (OGI) patient identification. In particular, we focus on the use of free-form clinical notes, since structured data, such as diagnoses or procedure codes, as found in early post-trauma clinical records, may not be a comprehensive and reliable indicator of OGIs. The challenges of the task include low incidence rate (few positive examples), idiosyncratic military ophthalmology vocabulary, extreme brevity of notes, specialized abbreviations, typos and misspellings. We modeled the problem as a text classification task and utilized a combination of supervised learning (SVMs) and word embeddings learnt in a unsupervised manner, achieving a precision of 92.50% and a recall of89.83%o. The described techniques are applicable to patient cohort identification with limited training data and low incidence rate. PMID:29854104

Successful use of nitrous oxide during lumbar punctures: A call for nitrous oxide in pediatric oncology clinics.

PubMed

Livingston, Mylynda; Lawell, Miranda; McAllister, Nancy

2017-11-01

Numerous reports describe the successful use of nitrous oxide for analgesia in children undergoing painful procedures. Although shown to be safe, effective, and economical, nitrous oxide use is not yet common in pediatric oncology clinics and few reports detail its effectiveness for children undergoing repeated lumbar punctures. We developed a nitrous oxide clinic, and undertook a review of pediatric oncology lumbar puncture records for those patients receiving nitrous oxide in 2011. No major complications were noted. Minor complications were noted in 2% of the procedures. We offer guidelines for establishing such a clinic. © 2017 Wiley Periodicals, Inc.

Open Oncology Notes: A Qualitative Study of Oncology Patients' Experiences Reading Their Cancer Care Notes.

PubMed

Kayastha, Neha; Pollak, Kathryn I; LeBlanc, Thomas W

2018-04-01

Electronic medical records increasingly allow patients access to clinician notes. Although most believe that open notes benefits patients, some suggest negative consequences. Little is known about the experiences of patients with cancer reading their medical notes; thus we aimed to describe this qualitatively. We interviewed 20 adults with metastatic or incurable cancer receiving cancer treatment. The semistructured qualitative interviews included four segments: assessing their overall experience reading notes, discussing how notes affected their cancer care experiences, reading a real note with the interviewer, and making suggestions for improvement. We used a constant comparison approach to analyze these qualitative data. We found four themes. Patients reported that notes resulted in the following: (1) increased comprehension; (2) ameliorated uncertainty, relieved anxiety, and facilitated control; (3) increased trust; and (4) for a subset of patients, increased anxiety. Patients described increased comprehension because notes refreshed their memory and clarified their understanding of visits. This helped mitigate the unfamiliarity of cancer, addressing uncertainty and relieving anxiety. Notes facilitated control, empowering patients to ask clinicians more questions. The transparency of notes also increased trust in clinicians. For a subset of patients, however, notes were emotionally difficult to read and raised concerns. Patients identified medical jargon and repetition in notes as areas for improvement. Most patients thought that reading notes improved their care experiences. A small subset of patients experienced increased distress. As reading notes becomes a routine part of the patient experience, physicians might want to elicit and address concerns that arise from notes, thereby further engaging patients in their care.

Electronic multidimensional health assessment questionnaire (eMDHAQ): past, present and future of a proposed single data management system for clinical care, research, quality improvement, and monitoring of long-term outcomes.

PubMed

Pincus, Theodore

2016-01-01

An MDHAQ/RAPID3 (multidimensional health assessment questionnaire/routine assessment of patient index data) was developed from the HAQ over 25 years, based on observations made from completion by every patient (with all diagnoses) at every routine rheumatology visit since 1980. Modification of the HAQ was viewed as similar to improving a laboratory test, with a primary focus on clinical value for diagnosis, prognosis, and/or management, as well as feasibility for minimal effect on clinical workflow. Rigorous attention, was also directed to validity, reliability, other methodologic and technological considerations, but after clinical value and feasibility were established. A longer "intake" MDHAQ was introduced for new patients to record a complete past medical history - illnesses, hospitalisations, surgeries, allergies, family history, social history and medications. MDHAQ scales not found on the HAQ record complex activities, sleep quality, anxiety, depression, self-report joint count, fatigue, symptom checklist, morning stiffness, exercise status, recent medical history, social history and demographic data within 2 pages on one sheet of paper. An electronic eMDHAQ/RAPID3 provides a similar platform to pool data from multiple sites. A patient may be offered a patient-administered, password-protected, secure, web site, to store the medical history completed on the eMDHAQ. This eMDHAQ would allow a patient to complete a single general medical history questionnaire rather than different intake questionnaires in different medical settings. The eMDHAQ would be available for updates and correction by the patient for future visits, regardless of electronic medical record (EMR). The eMDHAQ is designed to interface with an EMR using HL7 (health level seven) and SMART (Substitutable Medical Apps, Reusable Technology) on FHIR (Fast Healthcare Interoperability Resources), although implementation requires collaboration with the EMR vendor. Advanced features include reports for the physician formatted as a medical record note of past medical history for entry into any EMR without typing or dictation, and a periodic "tickler" function to monitor long-term outcomes with minimal effort of the physician and staff. Nonetheless, clinical use of an eMDHAQ should be guided primarily not by the latest technology, but by value and feasibility in clinical care, the same principles that guided development of the pencil-and-paper MDHAQ/RAPID3.

Implementing family communication pathway in neurosurgical patients in an intensive care unit.

PubMed

Kodali, Sashikanth; Stametz, Rebecca; Clarke, Deserae; Bengier, Amanda; Sun, Haiyan; Layon, A J; Darer, Jonathan

2015-08-01

Family-centered care provides family members with basic needs, which includes information, reassurance, and support. Though national guidelines exist, clinical adoption often lags behind in this area. The Geisinger Health System developed and implemented a program for reliable delivery of best practices related to family communication to patients and families admitted to the intensive care unit (ICU). Using a quasiexperimental study design and the 24-item Family Satisfaction in the Intensive Care Unit questionnaire (FSICU-24©) to determine family satisfaction, we measured the impact of a "family communication pathway" facilitated by tools built into the electronic health record on the family satisfaction of neurosurgical patients admitted to the ICU. There was no statistically significant difference noted in family satisfaction as determined by FSICU-24 scores, including the Care and Decision Making constructs between the pre- and post-intervention pilot population. The percentage of families reporting the occurrence of a family conference showed only minimal improvement, from 46.5% before to 52.5% following the intervention (p = 0.565). This was mirrored by low numbers of documented family conferences by providers, suggesting poor uptake despite buy-in, use of electronic checklists, and repeated attempts at education. This paper reviews the challenges to and implications for implementing national guidelines in the area of family communication in an ICU coupled with the principles of clinical reengineering.

A mobile app for securely capturing and transferring clinical images to the electronic health record: description and preliminary usability study.

PubMed

Landman, Adam; Emani, Srinivas; Carlile, Narath; Rosenthal, David I; Semakov, Simon; Pallin, Daniel J; Poon, Eric G

2015-01-02

Photographs are important tools to record, track, and communicate clinical findings. Mobile devices with high-resolution cameras are now ubiquitous, giving clinicians the opportunity to capture and share images from the bedside. However, secure and efficient ways to manage and share digital images are lacking. The aim of this study is to describe the implementation of a secure application for capturing and storing clinical images in the electronic health record (EHR), and to describe initial user experiences. We developed CliniCam, a secure Apple iOS (iPhone, iPad) application that allows for user authentication, patient selection, image capture, image annotation, and storage of images as a Portable Document Format (PDF) file in the EHR. We leveraged our organization's enterprise service-oriented architecture to transmit the image file from CliniCam to our enterprise clinical data repository. There is no permanent storage of protected health information on the mobile device. CliniCam also required connection to our organization's secure WiFi network. Resident physicians from emergency medicine, internal medicine, and dermatology used CliniCam in clinical practice for one month. They were then asked to complete a survey on their experience. We analyzed the survey results using descriptive statistics. Twenty-eight physicians participated and 19/28 (68%) completed the survey. Of the respondents who used CliniCam, 89% found it useful or very useful for clinical practice and easy to use, and wanted to continue using the app. Respondents provided constructive feedback on location of the photos in the EHR, preferring to have photos embedded in (or linked to) clinical notes instead of storing them as separate PDFs within the EHR. Some users experienced difficulty with WiFi connectivity which was addressed by enhancing CliniCam to check for connectivity on launch. CliniCam was implemented successfully and found to be easy to use and useful for clinical practice. CliniCam is now available to all clinical users in our hospital, providing a secure and efficient way to capture clinical images and to insert them into the EHR. Future clinical image apps should more closely link clinical images and clinical documentation and consider enabling secure transmission over public WiFi or cellular networks.

Transition of Care in Adolescents With Cerebral Palsy: A Survey of Current Practices.

PubMed

Bolger, Ashlee; Vargus-Adams, Jilda; McMahon, Mary

2017-03-01

Transition of care from pediatric to adult health care providers for youth with special needs (including cerebral palsy [CP]) is of current interest because these individuals are now living well into adulthood. Studies have attempted to identify barriers to transition, ideal timing for transition of care, and key elements for successful transition programs. These studies often encompass a wide range of diagnoses, and results cannot be fully applied to those with CP. To identify and describe current transition-of-care (TOC) practices and beliefs among physician providers of adolescents with CP in multidisciplinary CP clinics. Descriptive survey. Multidisciplinary CP clinics in the United States. Physician leaders in the aforementioned CP clinics. Respondents completed an electronic survey. Responses were deidentified and reported in aggregate by the use of descriptive statistics. Electronic survey addressing 3 domains: demographics of clinics, current opinions/practices related to TOC processes, and perceived barriers to successful TOC. Fifteen surveys were sent with 11 returned (response rate = 73%). TOC practices varied among clinics surveyed. Fifty-five percent of clinics had a structured transition program, but only one transitioned 100% of their patients to adult providers by 22 years of age. Only one clinic had an absolute upper age limit for seeing patients, and 36% of clinics accepted new patients older than 21 years. No respondent was "completely satisfied" with their transition process, and only one respondent was "moderately satisfied." The majority of respondents felt the ideal care setting for adults with CP was a comprehensive, multidisciplinary adult-focused clinic in an adult hospital/clinic with primarily adult providers. They noted the top 3 perceived barriers to successful TOC were limited adult providers willing to accept CP patients, concern about the level of care in the adult health care system, and lack of financial resources. Current TOC practices vary considerably among multidisciplinary pediatric CP clinics and are not satisfactory to individual physician providers within these clinics. Respondents desired a multidisciplinary clinic in an adult care setting with adult providers; however, the top 3 perceived barriers involved the adult health care system, making it difficult for pediatric providers to develop effective TOC programs. Not applicable. Copyright © 2017 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model

PubMed Central

Perlis, R. H.; Iosifescu, D. V.; Castro, V. M.; Murphy, S. N.; Gainer, V. S.; Minnier, J.; Cai, T.; Goryachev, S.; Zeng, Q.; Gallagher, P. J.; Fava, M.; Weilburg, J. B.; Churchill, S. E.; Kohane, I. S.; Smoller, J. W.

2013-01-01

Background Electronic medical records (EMR) provide a unique opportunity for efficient, large-scale clinical investigation in psychiatry. However, such studies will require development of tools to define treatment outcome. Method Natural language processing (NLP) was applied to classify notes from 127 504 patients with a billing diagnosis of major depressive disorder, drawn from out-patient psychiatry practices affiliated with multiple, large New England hospitals. Classifications were compared with results using billing data (ICD-9 codes) alone and to a clinical gold standard based on chart review by a panel of senior clinicians. These cross-sectional classifications were then used to define longitudinal treatment outcomes, which were compared with a clinician-rated gold standard. Results Models incorporating NLP were superior to those relying on billing data alone for classifying current mood state (area under receiver operating characteristic curve of 0.85–0.88 v. 0.54–0.55). When these cross-sectional visits were integrated to define longitudinal outcomes and incorporate treatment data, 15% of the cohort remitted with a single antidepressant treatment, while 13% were identified as failing to remit despite at least two antidepressant trials. Non-remitting patients were more likely to be non-Caucasian (p<0.001). Conclusions The application of bioinformatics tools such as NLP should enable accurate and efficient determination of longitudinal outcomes, enabling existing EMR data to be applied to clinical research, including biomarker investigations. Continued development will be required to better address moderators of outcome such as adherence and co-morbidity. PMID:21682950

Use of a Patient-Accessible Electronic Medical Record in a Practice for Congestive Heart Failure: Patient and Physician Experiences

PubMed Central

Earnest, Mark A.; Ross, Stephen E.; Wittevrongel, Loretta; Moore, Laurie A.; Lin, Chen-Tan

2004-01-01

Objective: The aim of this study was to evaluate the experiences of patients and physicians in a clinical trial of an online electronic medical record (SPPARO, System Providing Patients Access to Records Online). Design: Quantitative data were obtained from questionnaires. Qualitative data were obtained from individual interviews and focus groups. Measurements: Questionnaire items were based on issues identified by patients and physicians in previous studies. Individual interviews and focus groups were performed using a semistructured format developed through an iterative process. Results: Of the eight physicians who participated in the trial, seven completed questionnaires and interviews. Of the 394 patients in the practice, 107 enrolled in the study, and 54 were assigned randomly to the intervention group. Of these, 41 used SPPARO during the trial period. In questionnaires and interviews, patients were significantly more likely than physicians to anticipate benefits of SPPARO and less likely to anticipate problems. Attitudes of subjects did not diverge from controls after the intervention period. In posttrial focus groups, SPPARO users described its practical benefits. Comprehending medical jargon was a minor obstacle. Physicians anticipated that implementing SPPARO might increase their workload and distort their clinical interactions. In posttrial interviews, physicians and staff reported no change in their workload and no adverse consequences. All of the physicians ultimately supported the concept of giving patients online access to their clinical notes and test results. Conclusion: SPPARO was useful for a number of patients. Physicians initially voiced a number of concerns about implementing SPPARO, but their experience with it was far more positive. PMID:15187074

Free-Free Transitions of the e-H System Inside a Dense Plasma Irradiated by a Laser Field at Very Low Incident-Electron Energies

NASA Technical Reports Server (NTRS)

Bhatia, A. K.; Sinha, C.

2012-01-01

The free-free transition is studied for an electron-hydrogen atom in ground state when a low-energy electron (external) is injected into hydrogenic plasma in the presence of an external homogenous, monochromatic, and linearly polarized laser field. The effect of plasma screening is considered in the Debye-Huckel approximation. The calculations are performed in the soft photon limit. The incident electron is considered to be dressed by the laser field in a nonperturbative manner by choosing the Volkov solutions in both the initial and final channels. The space part of the scattering wave function for the electron is solved numerically by taking into account the electron exchange. The laser-assisted differential and total cross sections are calculated for single-photon absorption or emission and no-photon exchange in the soft photon limit, the laser intensity being much less than the atomic field intensity. The calculations have been carried out for various values of Debye parameter, ranging from 0.005 to 0.12. A strong suppression is noted in the laser-assisted cross sections as compared to the field-free situation. A significant difference is noted for the singlet and triplet cross sections. The suppression is much more in the triplet states.

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews.

PubMed

Chen, Jinying; Druhl, Emily; Polepalli Ramesh, Balaji; Houston, Thomas K; Brandt, Cynthia A; Zulman, Donna M; Vimalananda, Varsha G; Malkani, Samir; Yu, Hong

2018-01-22

Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. The aim of this study was to develop and evaluate the usability and content quality of NoteAid, a Web-based natural language processing system that links medical terms in EHR notes to lay definitions, that is, definitions easily understood by lay people. NoteAid incorporates two core components: CoDeMed, a lexical resource of lay definitions for medical terms, and MedLink, a computational unit that links medical terms to lay definitions. We developed innovative computational methods, including an adapted distant supervision algorithm to prioritize medical terms important for EHR comprehension to facilitate the effort of building CoDeMed. Ten physician domain experts evaluated the user interface and content quality of NoteAid. The evaluation protocol included a cognitive walkthrough session and a postsession questionnaire. Physician feedback sessions were audio-recorded. We used standard content analysis methods to analyze qualitative data from these sessions. Physician feedback was mixed. Positive feedback on NoteAid included (1) Easy to use, (2) Good visual display, (3) Satisfactory system speed, and (4) Adequate lay definitions. Opportunities for improvement arising from evaluation sessions and feedback included (1) improving the display of definitions for partially matched terms, (2) including more medical terms in CoDeMed, (3) improving the handling of terms whose definitions vary depending on different contexts, and (4) standardizing the scope of definitions for medicines. On the basis of these results, we have improved NoteAid's user interface and a number of definitions, and added 4502 more definitions in CoDeMed. Physician evaluation yielded useful feedback for content validation and refinement of this innovative tool that has the potential to improve patient EHR comprehension and experience using patient portals. Future ongoing work will develop algorithms to handle ambiguous medical terms and test and evaluate NoteAid with patients. ©Jinying Chen, Emily Druhl, Balaji Polepalli Ramesh, Thomas K Houston, Cynthia A Brandt, Donna M Zulman, Varsha G Vimalananda, Samir Malkani, Hong Yu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.01.2018.

Melanie Klein and Repression: an examination of some unpublished Notes of 1934.

PubMed

Hinshelwood, R D

2006-01-01

Fifteen pages of unpublished Notes were found in the Melanie Klein Archives dating from early 1934, a crucial moment in Klein's development. She was at this time, 1934, moving away from child analysis, whilst also rethinking and revising her allegiance to Karl Abraham's theory of the phases of libidinal development. These Notes, entitled "Early Repression Mechanism," show Klein struggling to develop what became her characteristic theories of the depressive position and the paranoid-schizoid position. Although these Notes are precursors of the paper Klein gave later to the IPA Congress in 1934, they also show the origins of the emphasis she and her followers eventually gave to "splitting" rather than repression. The Notes give us an insight into the way that she worked clinically at the time. We see Klein's confidence develop as she diverged from the classical theories and technique. Her ideas were based on close attention to the detail of her clinical material, rather than attacking theoretical problems directly. The Notes show her method of struggling to her own conclusions, and they offer us a chance to grasp the roots of the subsequent controversy over Kleinian thought.

Diagnostic value and cost-effectiveness of good quality digital images accompanying electronic referrals for suspected skin malignancies.

PubMed

Ng, Michael F Y; Stevenson, J Howard

2011-04-01

The aim of this study was to investigate the outcome and cost-effectiveness of good and poor quality photographs accompanying the electronic referrals for suspected skin malignancies. A retrospective study of 100 patients, divided into 2 groups, 50 with good quality photographs and 50 with poor quality photographs. Patients with no digital images, or who failed to attend, or patients with incomplete notes were excluded from the study. The treatment pathway, waiting times, and estimated cost between the 2 groups were compared. Good photographs were more likely to be treated at the 1-Stop Clinic (P = 0.05). Good images had a better positive predictive value than poor quality images (62.55% vs. 42.86%). Good quality images are more accurate than poor quality images in triaging of patients, and thus more effective in facilitating the treatment of malignant lesions timely. Good quality photographs allow a delayed appropriate treatment of benign lesions. This increases the safety for patients in a queue in a rationed health care system, and improves patient flow.

Fabrication of core-shell micro/nanoparticles for programmable dual drug release by emulsion electrospraying

NASA Astrophysics Data System (ADS)

Wang, Yazhou; Zhang, Yiqiong; Wang, Bochu; Cao, Yang; Yu, Qingsong; Yin, Tieying

2013-06-01

The study aimed at constructing a novel drug delivery system for programmable multiple drug release controlled with core-shell structure. The core-shell structure consisted of chitosan nanoparticles as core and polyvinylpyrrolidone micro/nanocoating as shell to form core-shell micro/nanoparticles, which was fabricated by ionic gelation and emulsion electrospray methods. As model drug agents, Naproxen and rhodamine B were encapsulated in the core and shell regions, respectively. The core-shell micro/nanoparticles thus fabricated were characterized and confirmed by scanning electron microscope, transmission electron microscope, and fluorescence optical microscope. The core-shell micro/nanoparticles showed good release controllability through drug release experiment in vitro. It was noted that a programmable release pattern for dual drug agents was also achieved by adjusting their loading regions in the core-shell structures. The results indicate that emulsion electrospraying technology is a promising approach in fabrication of core-shell micro/nanoparticles for programmable dual drug release. Such a novel multi-drug delivery system has a potential application for the clinical treatment of cancer, tuberculosis, and tissue engineering.

A review of the Journal of Pediatrics: the first 75 years.

PubMed

Hellems, Martha A; Gurka, Kelly K; Hayden, Gregory F

2009-07-01

To assess changes in the format and content of articles published in The Journal of Pediatrics to aid in understanding the current state of pediatric research and to anticipate what to expect in the coming years. We conducted a retrospective review of case reports, research articles, and review articles published in volume 150 of The Journal. We noted components of study authorship, content, and design and compared these data with those in earlier volumes. The numbers of authors and grants per article and the proportion of studies with international authorship have all increased. Print circulation has dropped, but The Journal is now available in electronic format. Research topics shifted, with fewer articles devoted to infectious disease and general pediatrics. An increase in articles about endocrinology reflects a surge of interest in pediatric obesity. Most articles contain original research, reporting analyses from observational studies with few clinical trials. Recent trends suggest that readers of The Journal should expect more research articles with observational designs and increasing international authorship. The Journal's electronic presence will likely increase and provide greater readership globally.

Characteristics and Implications of Diagnostic Justification Scores Based on the New Patient Note Format of the USMLE Step 2 CS Exam.

PubMed

Yudkowsky, Rachel; Park, Yoon Soo; Hyderi, Abbas; Bordage, Georges

2015-11-01

To determine the psychometric characteristics of diagnostic justification scores based on the patient note format of the United States Medical Licensing Examination Step 2 Clinical Skills exam, which requires students to document history and physical findings, differential diagnoses, diagnostic justification, and plan for immediate workup. End-of-third-year medical students at one institution wrote notes for five standardized patient cases in May 2013 (n = 180) and 2014 (n = 177). Each case was scored using a four-point rubric to rate each of the four note components. Descriptive statistics and item analyses were computed and a generalizability study done. Across cases, 10% to 48% provided no diagnostic justification or had several missing or incorrect links between history and physical findings and diagnoses. The average intercase correlation for justification scores ranged from 0.06 to 0.16; internal consistency reliability of justification scores (coefficient alpha across cases) was 0.38. Overall, justification scores had the highest mean item discrimination across cases. The generalizability study showed that person-case interaction (12%) and task-case interaction (13%) had the largest variance components, indicating substantial case specificity. The diagnostic justification task provides unique information about student achievement and curricular gaps. Students struggled to correctly justify their diagnoses; performance was highly case specific. Diagnostic justification was the most discriminating element of the patient note and had the greatest variability in student performance across cases. The curriculum should provide a wide range of clinical cases and emphasize recognition and interpretation of clinically discriminating findings to promote the development of clinical reasoning skills.

Simple interventions can greatly improve clinical documentation: a quality improvement project of record keeping on the surgical wards at a district general hospital.

PubMed

Glen, Peter; Earl, Naomi; Gooding, Felix; Lucas, Emily; Sangha, Nicole; Ramcharitar, Steve

2015-01-01

Clinical documentation is an integral part of the healthcare professional's job. Good record keeping is essential for patient care, accurate recording of consultations and for effective communication within the multidisciplinary team. Within the surgical department at the Great Western Hospital, Swindon, the case notes were deemed to be bulky and cumbersome, inhibiting effective record keeping, potentially putting patients' at risk. The aim of this quality improvement project was therefore to improve the standard of documentation, the labelling of notes and the overall filing. A baseline audit was firstly undertaken assessing the notes within the busiest surgical ward. A number of variables were assessed, but notably, only 12% (4/33) of the case notes were found to be without loose pages. Furthermore, less than half of the pages with entries written within the last 72 hours contained adequate patient identifiers on them. When assessing these entries further, the designation of the writer was only recorded in one third (11/33) of the cases, whilst the printed name of the writer was only recorded in 65% (21/33) of the entries. This project ran over a 10 month period, using a plan, do study, act methodology. Initial focus was on simple education. Afterwards, single admission folders were introduced, to contain only information required for that admission, in an attempt to streamline the notes and ease the filing. This saw a global improvement across all data subsets, with a sustained improvement of over 80% compliance seen. An educational poster was also created and displayed in clinical areas, to remind users to label their notes with patient identifying stickers. This saw a 4-fold increase (16%-68%) in the labelling of notes. In conclusion, simple, cost effective measures in streamlining medical notes, improves the quality of documentation, facilitates the filing and ultimately improves patient care.

Improved patient notes from medical students during web-based teaching using faculty-calibrated peer review and self-assessment.

PubMed

McCarty, Teresita; Parkes, Marie V; Anderson, Teresa T; Mines, Jan; Skipper, Betty J; Grebosky, James

2005-10-01

This study examines the effectiveness of Calibrated Peer Review (CPR), a Web-based writing development program, to teach and assess medical students' patient note-writing skills in a standardized fashion. At the end of the clerkship year, 67 medical students were divided into three groups, introduced to CPR, and instructed in patient note-writing. Students then wrote notes for three clinical cases, presented in different order to each group. After training on faculty-calibrated standards, students evaluated their peers' notes and their own notes. Trained faculty, blinded to author, order, and group, also graded student notes. Faculty gave lower scores than students, but both groups found students' scores improved significantly from the first to the third note written. Student-written patient notes improved in quality while using CPR. The program uses approaches valued in medicine (accurate peer review and self-reflection) to enhance performance.

Suicide Inhibition of Cytochrome P450 Enzymes by Cyclopropylamines via a Ring-opening Mechanism: Proton-Coupled Electron Transfer Makes a Difference

NASA Astrophysics Data System (ADS)

Zhang, Xiaoqian; Li, Xiao-Xi; Liu, Yufang; Wang, Yong

2017-01-01

N-benzyl-N-cyclopropylamine (BCA) has been attracting great interests for decades for its partial suicide inactivation role to cytochrome P450 (P450) via a ring-opening mechanism besides acting as a role of normal substrates. Understanding the mechanism of such partial inactivation is vital to the clinical drug design. Thus, density functional theoretical (DFT) calculations were carried out on such P450-catalyzed reactions, not only on the metabolic pathway, but on the ring-opening inactivation one. Our theoretical results demonstrated that, in the metabolic pathway, besides the normal carbinolamine, an unexpected enamine was formed via the dual hydrogen abstraction (DHA) process, in which the competition between rotation of the H-abstracted substrate radical and the rotation of hydroxyl group of the protonated Cpd II moiety plays a significant role in product branch; In the inactivation pathway, the well-noted single electron transfer (SET) mechanism-involved process was invalidated for its high energy barrier, a proton-coupled electron transfer (PCET(ET)) mechanism plays a role. Our results are consistent with other related theoretical works on heteroatom-hydrogen (X-H, X = O, N) activation and revealed new features. The revealed mechanisms will play a positive role in relative drug design.

Causes of prolonged jaundice in infancy: 3-year experience in a tertiary paediatric centre.

PubMed

Andre, Margaret; Day, Andrew S

2016-01-29

Although prolonged jaundice (PJ) commonly occurs in infancy, there is not yet agreement as to the appropriate extent of investigations, particularly in otherwise well children. Significant pathologies may present with PJ in this age group and need to be considered. The aim of this retrospective study was to ascertain the causes of PJ in infants referred to a single tertiary paediatric centre. Infants referred with PJ over a 3-year period were identified. Clinical documentation, electronic notes and results of investigations performed prior to and after referral were reviewed. One hundred and sixty-seven infants with PJ were seen. Fifty-eight percent were over 28 days of age. Four patients had conjugated hyperbilirubinaemia. Eighteen percent of patients were found to have a specific medical diagnosis causing or contributing to PJ, almost half of whom had normal clinical examination. The single most common pathological cause for PJ was hypothyroidism found in six patients. This study demonstrates that normal clinical examination and exclusion of conjugated hyperbilirubinaemia are insufficient to exclude pathological causes of PJ. Overall, these children were referred late. Guidelines, in conjunction with education initiatives, are required to optimise the management of prolonged jaundice in infancy.

Application of Human Augmentics: A Persuasive Asthma Inhaler.

PubMed

Grossman, Brent; Conner, Steve; Mosnaim, Giselle; Albers, Joshua; Leigh, Jason; Jones, Steve; Kenyon, Robert

2017-03-01

This article describes a tailored health intervention delivered on a mobile phone platform, integrating low-literacy design strategies and basic principles of behavior change, to promote increased adherence and asthma control among underserved minority adolescents. We based the intervention and design principles on theories of Human Augmentics and the Elaboration Likelihood Model. We tested the efficacy of using electronic monitoring devices that incorporate informative and persuasive elements to improve adherence to a prescribed daily medication regimen intended to reduce use of asthma rescue medications. We describe the theoretical framework, hardware and software systems, and results of user testing for design purposes and a clinical pilot study incorporating use of the device and software by the targeted population. The results of the clinical pilot study showed an 83% completion rate for the treatment as well as improved adherence. Of note, 8% and 58% of participants achieved clinically significant adherence targets at baseline and last week of the study, respectively. Rescue asthma medication use decreased from a median of 3 puffs per week at baseline to 0 puffs per week during the last week of the study. Copyright © 2017 Elsevier Inc. All rights reserved.

76 FR 23354 - Notice of Request for the Extension of Currently Approved Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-26

... Administration (FTA), DOT. ACTION: Notice of Request for Comments. SUMMARY: In accordance with the Paperwork... electronic docket site. (Note: -The U.S. Department of Transportation's (DOT's) electronic docket is no....gov . You may review DOT's complete Privacy Act Statement in the Federal Register published April 11...

77 FR 40409 - Notice of Request for the Extension of a Currently Approved Information Collection

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-09

... Administration (FTA), DOT. ACTION: Notice of request for comments. SUMMARY: In accordance with the Paperwork.... Government electronic docket site. (Note: The U.S. Department of Transportation's (DOT's) electronic docket... . You may review DOT's complete Privacy Act Statement in the Federal Register published April 11, 2000...

A Conceptual Framework for the Electronic Performance Support Systems within IBM Lotus Notes 6 (LN6) Example

ERIC Educational Resources Information Center

Bayram, Servet

2005-01-01

The concept of Electronic Performance Support Systems (EPSS) is containing multimedia or computer based instruction components that improves human performance by providing process simplification, performance information and decision support system. EPSS has become a hot topic for organizational development, human resources, performance technology,…

Electrical Conductivity in Transition Metals

ERIC Educational Resources Information Center

Talbot, Christopher; Vickneson, Kishanda

2013-01-01

The aim of this "Science Note" is to describe how to test the electron-sea model to determine whether it accurately predicts relative electrical conductivity for first-row transition metals. In the electron-sea model, a metal crystal is viewed as a three-dimensional array of metal cations immersed in a sea of delocalised valence…

Performance Plan: Progress Report 2nd Quarter Fiscal Year 2000.

ERIC Educational Resources Information Center

Department of Education, Washington, DC. Student Financial Assistance.

This document is progress report on the U.S. Department of Education's Student Financial Assistance (SFA) programs. Regarding its customer satisfaction objective, SFA notes that it looks to private sector leaders in e-commerce and promotes electronic services; offers electronic filing of the Free Application For Student Aid (FAFSA); offers most…

Science Notes.

ERIC Educational Resources Information Center

School Science Review, 1989

1989-01-01

Twenty-two activities are presented. Topics include: acid rain, microcomputers, fish farming, school-industry research projects, enzymes, equilibrium, assessment, science equipment, logic, Archimedes principle, electronics, optics, and statistics. (CW)

Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.

PubMed

Dziadek, Juliusz; Henriksson, Aron; Duneld, Martin

2017-01-01

The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling correction methods to Swedish medical text and evaluate their impact on SNOMED CT mapping; first in a controlled evaluation using medical literature text with induced errors, followed by a partial evaluation on clinical notes. It is shown that the best-performing method is context-sensitive, taking into account trigram frequencies and utilizing a corpus-based dictionary.

Prospective randomized clinical trial comparing laparoscopic cholecystectomy and hybrid natural orifice transluminal endoscopic surgery (NOTES) (NCT00835250).

PubMed

Noguera, José F; Cuadrado, Angel; Dolz, Carlos; Olea, José M; García, Juan C

2012-12-01

Natural orifice transluminal endoscopic surgery (NOTES) is a technique still in experimental development whose safety and effectiveness call for assessment through clinical trials. In this paper we present a three-arm, noninferiority, prospective randomized clinical trial of 1 year duration comparing the vaginal and transumbilical approaches for transluminal endoscopic surgery with the conventional laparoscopic approach for elective cholecystectomy. Sixty female patients between the ages of 18 and 65 years who were eligible for elective cholecystectomy were randomized in a ratio of 1:1:1 to receive hybrid transvaginal NOTES (TV group), hybrid transumbilical NOTES (TU group) or conventional laparoscopy (CL group). The main study variable was parietal complications (wound infection, bleeding, and eventration). The analysis was by intention to treat, and losses were not replaced. Cholecystectomy was successfully performed on 94% of the patients. One patient in the TU group was reconverted to CL owing to difficulty in maneuvering the endoscope. After a minimum follow-up period of 1 year, no differences were noted in the rate of parietal complications. Postoperative pain, length of hospital stay, and time off from work were similar in the three groups. No patient developed dyspareunia. Surgical time was longer among cases in which a flexible endoscope was used (CL, 47.04 min; TV, 64.85 min; TU, 59.80 min). NOTES approaches using the flexible endoscope are not inferior in safety or effectiveness to conventional laparoscopy. The transumbilical approach with flexible endoscope is as effective and safe as the transvaginal approach and is a promising, single-incision approach.

Collaborators and Communication Channels in Eight Patient-Centered Medical Homes.

PubMed

Chase, Dian A; Dorr, David A; Cohen, Deborah J; Ash, Joan S

2017-01-01

The patient-centered medical home (PCMH) concept requires collaboration among clinicians both within the medical home clinic, and outside the clinic. As we redesign health information technology (HIT) to support transformation to the PCMH, we need to better understand these collaboration patterns. This study provides quantitative data describing these collaborations in order to facilitate the design of systems to allow for more efficient collaboration. Eighty-four clinicians in eight clinics identified their two most recent significant collaborators - one each within the clinic and in the medical neighborhood. They also identified the communication channels used in these collaborations. We used k-means clustering to identify communication patterns. Within the clinic, half of the primary care providers (PCPs) identified a care manager as their most recent collaborator. Outside specialists were their most common external collaborators. Ninety-two percent of the non-PCP participants identified PCP's as their most recent internal collaborators. The best model for communication channel usage (p < .0001) had six clusters. In general, inside communications were more informal but outside collaborations were more often formal written communications (faxes, letters) or the exchange of electronic health record progress notes. But there were exceptions to these patterns and in many cases multiple channels were used for the same collaboration. Systems design (and redesign) needs to focus on reducing communications load and increasing communication effectiveness while maintaining flexibility.

European Science Notes. Volume 40, number 1

NASA Astrophysics Data System (ADS)

Shaffer, L. E.

1986-01-01

European Science Notes is a monthly publication with brief articles on recent developments in European scientific research. Partial contents: Shallow Water Acoustic at the UK's Royal Aircraft Establishment; Immunology Research in Israel; Life Sciences Research at the Weizmann Institute of Science; Symposium on Macromolecules; Mass Spectrometry Meetings; Automation and Robotization in the Welding Industry; 3rd International Conference on Composite Structures; Conference on Quantum Electronics; Very Short Laser Pulse Research.

Redescription of immature stages of central European fireflies, Part 1: Lampyris noctiluca (Linnaeus, 1758) larva, pupa and notes on its biology (Coleoptera: Lampyridae: Lampyrinae).

PubMed

Novák, Martin

2017-03-28

The mature larva of Lampyris noctiluca (Linnaeus, 1758) is redescribed and illustrated in detail, including scanning electron microscope images. Male and female pupae are briefly described, including notes on behaviour as well as light production of the immature stages. Observed structures, life cycle and behaviour of larvae and pupae are discussed.

Practice Facilitator Strategies for Addressing Electronic Health Record Data Challenges for Quality Improvement: EvidenceNOW.

PubMed

Hemler, Jennifer R; Hall, Jennifer D; Cholan, Raja A; Crabtree, Benjamin F; Damschroder, Laura J; Solberg, Leif I; Ono, Sarah S; Cohen, Deborah J

2018-01-01

Practice facilitators ("facilitators") can play an important role in supporting primary care practices in performing quality improvement (QI), but they need complete and accurate clinical performance data from practices' electronic health records (EHR) to help them set improvement priorities, guide clinical change, and monitor progress. Here, we describe the strategies facilitators use to help practices perform QI when complete or accurate performance data are not available. Seven regional cooperatives enrolled approximately 1500 small-to-medium-sized primary care practices and 136 facilitators in EvidenceNOW, the Agency for Healthcare Research and Quality's initiative to improve cardiovascular preventive services. The national evaluation team analyzed qualitative data from online diaries, site visit field notes, and interviews to discover how facilitators worked with practices on EHR data challenges to obtain and use data for QI. We found facilitators faced practice-level EHR data challenges, such as a lack of clinical performance data, partial or incomplete clinical performance data, and inaccurate clinical performance data. We found that facilitators responded to these challenges, respectively, by using other data sources or tools to fill in for missing data, approximating performance reports and generating patient lists, and teaching practices how to document care and confirm performance measures. In addition, facilitators helped practices communicate with EHR vendors or health systems in requesting data they needed. Overall, facilitators tailored strategies to fit the individual practice and helped build data skills and trust. Facilitators can use a range of strategies to help practices perform data-driven QI when performance data are inaccurate, incomplete, or missing. Support is necessary to help practices, particularly those with EHR data challenges, build their capacity for conducting data-driven QI that is required of them for participating in practice transformation and performance-based payment programs. It is questionable how practices with data challenges will perform in programs without this kind of support. © Copyright 2018 by the American Board of Family Medicine.

Rationale and Design of the Registry for Stones of the Kidney and Ureter (ReSKU): A Prospective Observational Registry to Study the Natural History of Urolithiasis Patients.

PubMed

Chang, Helena C; Tzou, David T; Usawachintachit, Manint; Duty, Brian D; Hsi, Ryan S; Harper, Jonathan D; Sorensen, Mathew D; Stoller, Marshall L; Sur, Roger L; Chi, Thomas

2016-12-01

Registry-based clinical research in nephrolithiasis is critical to advancing quality in urinary stone disease management and ultimately reducing stone recurrence. A need exists to develop Health Insurance Portability and Accountability Act (HIPAA)-compliant registries that comprise integrated electronic health record (EHR) data using prospectively defined variables. An EHR-based standardized patient database-the Registry for Stones of the Kidney and Ureter (ReSKU™)-was developed, and herein we describe our implementation outcomes. Interviews with academic and community endourologists in the United States, Canada, China, and Japan identified demographic, intraoperative, and perioperative variables to populate our registry. Variables were incorporated into a HIPAA-compliant Research Electronic Data Capture database linked to text prompts and registration data within the Epic EHR platform. Specific data collection instruments supporting New patient, Surgery, Postoperative, and Follow-up clinical encounters were created within Epic to facilitate automated data extraction into ReSKU. The number of variables within each instrument includes the following: New patient-60, Surgery-80, Postoperative-64, and Follow-up-64. With manual data entry, the mean times to complete each of the clinic-based instruments were (minutes) as follows: New patient-12.06 ± 2.30, Postoperative-7.18 ± 1.02, and Follow-up-8.10 ± 0.58. These times were significantly reduced with the use of ReSKU structured clinic note templates to the following: New patient-4.09 ± 1.73, Postoperative-1.41 ± 0.41, and Follow-up-0.79 ± 0.38. With automated data extraction from Epic, manual entry is obviated. ReSKU is a longitudinal prospective nephrolithiasis registry that integrates EHR data, lowering the barriers to performing high quality clinical research and quality outcome assessments in urinary stone disease.

Rationale and Design of the Registry for Stones of the Kidney and Ureter (ReSKU): A Prospective Observational Registry to Study the Natural History of Urolithiasis Patients

PubMed Central

Chang, Helena C.; Tzou, David T.; Usawachintachit, Manint; Duty, Brian D.; Hsi, Ryan S.; Harper, Jonathan D.; Sorensen, Mathew D.; Stoller, Marshall L.; Sur, Roger L.

2016-01-01

Abstract Objectives: Registry-based clinical research in nephrolithiasis is critical to advancing quality in urinary stone disease management and ultimately reducing stone recurrence. A need exists to develop Health Insurance Portability and Accountability Act (HIPAA)-compliant registries that comprise integrated electronic health record (EHR) data using prospectively defined variables. An EHR-based standardized patient database—the Registry for Stones of the Kidney and Ureter (ReSKU™)—was developed, and herein we describe our implementation outcomes. Materials and Methods: Interviews with academic and community endourologists in the United States, Canada, China, and Japan identified demographic, intraoperative, and perioperative variables to populate our registry. Variables were incorporated into a HIPAA-compliant Research Electronic Data Capture database linked to text prompts and registration data within the Epic EHR platform. Specific data collection instruments supporting New patient, Surgery, Postoperative, and Follow-up clinical encounters were created within Epic to facilitate automated data extraction into ReSKU. Results: The number of variables within each instrument includes the following: New patient—60, Surgery—80, Postoperative—64, and Follow-up—64. With manual data entry, the mean times to complete each of the clinic-based instruments were (minutes) as follows: New patient—12.06 ± 2.30, Postoperative—7.18 ± 1.02, and Follow-up—8.10 ± 0.58. These times were significantly reduced with the use of ReSKU structured clinic note templates to the following: New patient—4.09 ± 1.73, Postoperative—1.41 ± 0.41, and Follow-up—0.79 ± 0.38. With automated data extraction from Epic, manual entry is obviated. Conclusions: ReSKU is a longitudinal prospective nephrolithiasis registry that integrates EHR data, lowering the barriers to performing high quality clinical research and quality outcome assessments in urinary stone disease. PMID:27758162

Clinical decision support improves quality of telephone triage documentation - an analysis of triage documentation before and after computerized clinical decision support

PubMed Central

2014-01-01

Background Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to compare triage documentation quality associated with the use of a clinical decision support tool, ExpertRN©. Methods We examined 50 triage documents before and after a CDS tool was used in nursing triage. To control for the effects of CDS training we had an additional control group of triage documents created by nurses who were trained in the CDS tool, but who did not use it in selected notes. The CDS intervention cohort of triage notes was compared to both the pre-CDS notes and the CDS trained (but not using CDS) cohort. Cohorts were compared using the documentation standards of the American Academy of Ambulatory Care Nursing (AAACN). We also compared triage note content (documentation of associated positive and negative features relating to the symptoms, self-care instructions, and warning signs to watch for), and documentation defects pertinent to triage safety. Results Three of five AAACN documentation standards were significantly improved with CDS. There was a mean of 36.7 symptom features documented in triage notes for the CDS group but only 10.7 symptom features in the pre-CDS cohort (p < 0.0001) and 10.2 for the cohort that was CDS-trained but not using CDS (p < 0.0001). The difference between the mean of 10.2 symptom features documented in the pre-CDS and the mean of 10.7 symptom features documented in the CDS-trained but not using was not statistically significant (p = 0.68). Conclusions CDS significantly improves triage note documentation quality. CDS-aided triage notes had significantly more information about symptoms, warning signs and self-care. The changes in triage documentation appeared to be the result of the CDS alone and not due to any CDS training that came with the CDS intervention. Although this study shows that CDS can improve documentation, further study is needed to determine if it results in improved care. PMID:24645674

Clinical decision support improves quality of telephone triage documentation--an analysis of triage documentation before and after computerized clinical decision support.

PubMed

North, Frederick; Richards, Debra D; Bremseth, Kimberly A; Lee, Mary R; Cox, Debra L; Varkey, Prathibha; Stroebel, Robert J

2014-03-20

Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to compare triage documentation quality associated with the use of a clinical decision support tool, ExpertRN©. We examined 50 triage documents before and after a CDS tool was used in nursing triage. To control for the effects of CDS training we had an additional control group of triage documents created by nurses who were trained in the CDS tool, but who did not use it in selected notes. The CDS intervention cohort of triage notes was compared to both the pre-CDS notes and the CDS trained (but not using CDS) cohort. Cohorts were compared using the documentation standards of the American Academy of Ambulatory Care Nursing (AAACN). We also compared triage note content (documentation of associated positive and negative features relating to the symptoms, self-care instructions, and warning signs to watch for), and documentation defects pertinent to triage safety. Three of five AAACN documentation standards were significantly improved with CDS. There was a mean of 36.7 symptom features documented in triage notes for the CDS group but only 10.7 symptom features in the pre-CDS cohort (p < 0.0001) and 10.2 for the cohort that was CDS-trained but not using CDS (p < 0.0001). The difference between the mean of 10.2 symptom features documented in the pre-CDS and the mean of 10.7 symptom features documented in the CDS-trained but not using was not statistically significant (p = 0.68). CDS significantly improves triage note documentation quality. CDS-aided triage notes had significantly more information about symptoms, warning signs and self-care. The changes in triage documentation appeared to be the result of the CDS alone and not due to any CDS training that came with the CDS intervention. Although this study shows that CDS can improve documentation, further study is needed to determine if it results in improved care.

IMRT head and neck treatment planning with a commercially available Monte Carlo based planning system

NASA Astrophysics Data System (ADS)

Boudreau, C.; Heath, E.; Seuntjens, J.; Ballivy, O.; Parker, W.

2005-03-01

The PEREGRINE Monte Carlo dose-calculation system (North American Scientific, Cranberry Township, PA) is the first commercially available Monte Carlo dose-calculation code intended specifically for intensity modulated radiotherapy (IMRT) treatment planning and quality assurance. In order to assess the impact of Monte Carlo based dose calculations for IMRT clinical cases, dose distributions for 11 head and neck patients were evaluated using both PEREGRINE and the CORVUS (North American Scientific, Cranberry Township, PA) finite size pencil beam (FSPB) algorithm with equivalent path-length (EPL) inhomogeneity correction. For the target volumes, PEREGRINE calculations predict, on average, a less than 2% difference in the calculated mean and maximum doses to the gross tumour volume (GTV) and clinical target volume (CTV). An average 16% ± 4% and 12% ± 2% reduction in the volume covered by the prescription isodose line was observed for the GTV and CTV, respectively. Overall, no significant differences were noted in the doses to the mandible and spinal cord. For the parotid glands, PEREGRINE predicted a 6% ± 1% increase in the volume of tissue receiving a dose greater than 25 Gy and an increase of 4% ± 1% in the mean dose. Similar results were noted for the brainstem where PEREGRINE predicted a 6% ± 2% increase in the mean dose. The observed differences between the PEREGRINE and CORVUS calculated dose distributions are attributed to secondary electron fluence perturbations, which are not modelled by the EPL correction, issues of organ outlining, particularly in the vicinity of air cavities, and differences in dose reporting (dose to water versus dose to tissue type).

Poor planning, communication lead to missteps in care of Ebola patient.

PubMed

2015-11-01

A panel of experts examining the diagnosis and care of Thomas Eric Duncan, a patient diagnosed with Ebola Virus Disease (EVD) in the United States in 2014, and the cases of two nurses who contracted EVD while caring for Duncan, has unveiled its findings along with recommendations to prevent many of the missteps that occurred during the crisis. While the independent panel was convened at the direction of Texas Health Resources, the parent company of Texas Health Presbyterian Hospital in Dallas, observers and the panel itself note that the findings should help hospitals, EDs, and communities across the country prepare for the next infectious disease event. The expert panel noted that ED personnel relied too heavily on the electronic medical record (EMR) to communicate with other members of the care team, and that important information, such as the patient's travel history, was not prioritized or highlighted in the EMR. Patient satisfaction and other operational objectives took precedence over patient safety during Duncan's ED visit, according to the expert panel's findings. The clinical team failed to pick up on changes in the patient's clinical status, missing an opportunity to re-evaluate Duncan and properly diagnosis him with EVD during his first visit to the ED. Confusion over the roles and responsibilities of local and federal health authorities, and inadequate preparation for an infectious disease event led to missteps. The expert panel suggests conducting practice drills that include all participating organizations, and hospital leaders should consider infectious disease threats as well as other types of disasters.

E-recruitment based clinical research: notes for Research Ethics Committees/Institutional Review Boards.

PubMed

Refolo, P; Sacchini, D; Minacori, R; Daloiso, V; Spagnolo, A G

2015-01-01

Patient recruitment is a critical point of today's clinical research. Several proposals have been made for improving it, but the effectiveness of these measures is actually uncertain. The use of Internet (e-recruitment) could represent a great chance to improve patient enrolment, even though the effectiveness of this implementation is not so evident. E-recruitment could bring some advantages, such as better interaction between clinical research demand and clinical research supply, time and resources optimization, and reduction of data entry errors. It raises some issues too, such as sampling errors, validity of informed consent, and protection of privacy. Research Ethics Committees/Institutional Review Boards should consider these critical points. The paper deals with Internet recruitment for clinical research. It also attempts to provide Research Ethics Committees/Institutional Review Boards with notes for assessing e-recruitment based clinical protocols.

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers.

PubMed

Hultman, Gretchen; McEwan, Reed; Pakhomov, Serguei; Lindemann, Elizabeth; Skube, Steven; Melton, Genevieve B

2018-01-01

Natural Language Processing - Patient Information Extraction for Researchers (NLP-PIER) was developed for clinical researchers for self-service Natural Language Processing (NLP) queries with clinical notes. This study was to conduct a user-centered analysis with clinical researchers to gain insight into NLP-PIER's usability and to gain an understanding of the needs of clinical researchers when using an application for searching clinical notes. Clinical researcher participants (n=11) completed tasks using the system's two existing search interfaces and completed a set of surveys and an exit interview. Quantitative data including time on task, task completion rate, and survey responses were collected. Interviews were analyzed qualitatively. Survey scores, time on task and task completion proportions varied widely. Qualitative analysis indicated that participants found the system to be useful and usable in specific projects. This study identified several usability challenges and our findings will guide the improvement of NLP-PIER 's interfaces.

Active Remote Detection of Radioactivity Based on Electromagnetic Signatures

DTIC Science & Technology

2013-08-15

electron with energy eE therefore generates EEe ∆/~ low energy electrons. In the case of Compton absorption, the maximum electron energy is max,))21/(2...γγγ αα EEe += where 2 max, /mcγγα E= . For example, a 1 MeV gamma ray in air generates Compton electrons having a maximum energy of MeV8.0= eE ...and average energy of MeV44.0= eE . It should be noted that the range of high energy electrons is much less than the range of the high energy gammas

Middle School Science Notes

ERIC Educational Resources Information Center

School Science Review, 1976

1976-01-01

Describes a lighted demonstration apparatus for representing the distribution of electrons, protons and neutrons in an atom. Also includes experiments with ice, forces, microscopes, spectra, and geological modeling. (CS)

Accuracy of Laboratory Data Communication on ICU Daily Rounds Using an Electronic Health Record.

PubMed

Artis, Kathryn A; Dyer, Edward; Mohan, Vishnu; Gold, Jeffrey A

2017-02-01

Accurately communicating patient data during daily ICU rounds is critically important since data provide the basis for clinical decision making. Despite its importance, high fidelity data communication during interprofessional ICU rounds is assumed, yet unproven. We created a robust but simple methodology to measure the prevalence of inaccurately communicated (misrepresented) data and to characterize data communication failures by type. We also assessed how commonly the rounding team detected data misrepresentation and whether data communication was impacted by environmental, human, and workflow factors. Direct observation of verbalized laboratory data during daily ICU rounds compared with data within the electronic health record and on presenters' paper prerounding notes. Twenty-six-bed academic medical ICU with a well-established electronic health record. ICU rounds presenter (medical student or resident physician), interprofessional rounding team. None. During 301 observed patient presentations including 4,945 audited laboratory results, presenters used a paper prerounding tool for 94.3% of presentations but tools contained only 78% of available electronic health record laboratory data. Ninty-six percent of patient presentations included at least one laboratory misrepresentation (mean, 6.3 per patient) and 38.9% of all audited laboratory data were inaccurately communicated. Most misrepresentation events were omissions. Only 7.8% of all laboratory misrepresentations were detected. Despite a structured interprofessional rounding script and a well-established electronic health record, clinician laboratory data retrieval and communication during ICU rounds at our institution was poor, prone to omissions and inaccuracies, yet largely unrecognized by the rounding team. This highlights an important patient safety issue that is likely widely prevalent, yet underrecognized.

Predictors of Start of Different Antidepressants in Patient Charts among Patients with Depression

PubMed Central

Kim, Hyungjin Myra; Zivin, Kara; Choe, Hae Mi; Stano, Clare M.; Ganoczy, Dara; Walters, Heather; Valenstein, Marcia

2016-01-01

Background In usual psychiatric care, antidepressant treatments are selected based on physician and patient preferences rather than being randomly allocated, resulting in spurious associations between these treatments and outcome studies. Objectives To identify factors recorded in electronic medical chart progress notes predictive of antidepressant selection among patients who had received a depression diagnosis. Methods This retrospective study sample consisted of 556 randomly selected Veterans Health Administration (VHA) patients diagnosed with depression from April 1, 1999 to September 30, 2004, stratified by the antidepressant agent, geographic region, gender, and year of depression cohort entry. Predictors were obtained from administrative data, and additional variables were abstracted from electronic medical chart notes in the year prior to the start of the antidepressant in five categories: clinical symptoms and diagnoses, substance use, life stressors, behavioral/ideation measures (e.g., suicide attempts), and treatments received. Multinomial logistic regression analysis was used to assess the predictors associated with different antidepressant prescribing, and adjusted relative risk ratios (RRR) are reported. Results Of the administrative data-based variables, gender, age, illicit drug abuse or dependence, and number of psychiatric medications in prior year were significantly associated with antidepressant selection. After adjusting for administrative data-based variables, sleep problems (RRR = 2.47) or marital issues (RRR = 2.64) identified in the charts were significantly associated with prescribing mirtazapine rather than sertraline; however, no other chart-based variables showed a significant association or an association with a large magnitude. Conclusion Some chart data-based variables were predictive of antidepressant selection, but we neither found many nor found them highly predictive of antidepressant selection in patients treated for depression. PMID:25943003

Urban Alabama Physicians and the Electronic Medical Record: A Qualitative Study

ERIC Educational Resources Information Center

Tiggle, Michele

2012-01-01

The electronic medical record (EMR) is an information technology tool supporting the examination, treatment, and care of a patient. The EMR allows physicians to view a patient's record showing current medications, a history of visits from health care providers with notes from those visits, a problem list, a functional status assessment, a schedule…

Stopping Power for Degenerate Electrons

DOE Office of Scientific and Technical Information (OSTI.GOV)

Singleton, Jr., Robert

2016-05-16

This is a first attempt at calculating the BPS stopping power with electron degeneracy corrections. Section I establishes some notation and basic facts. Section II outlines the basics of the calculation, and in Section III contains some brief notes on how to proceed with the details of the calculation. The remaining work for the calculation starts with Section III.

To Bind or Not To Bind: Pros & Cons of Maintaining Paper Periodicals in the Library's Collection.

ERIC Educational Resources Information Center

Anderson, Iris W.

1999-01-01

Explores controversial questions related to libraries' decision-making on paper journals and electronic journals. Notes that the critical mass of scholarly publishing is still in print. Discusses benefits and drawbacks of electronic journals and paper journals. Presents comments on the pros and cons to binding paper periodicals gathered from an…

The E-Only Tipping Point for Journals: What's Ahead in the Print-to-Electronic Transition Zone

ERIC Educational Resources Information Center

Johnson, Richard K.; Luther, Judy

2007-01-01

This report examines the issues associated with moves toward electronic-only publication of journals, based on interviews with academic librarians and journal publishers. Noting that publishers and libraries today find themselves in an extended transition zone between print-only and e-only journals, the report investigates forces driving change…

Notes on Operations. The Documentation of Electronic Texts Using Text Encoding Initiative Headers: An Introduction.

ERIC Educational Resources Information Center

Giordano, Richard

1994-01-01

Describes the Text Encoding Initiative (TEI) project and the TEI header, which documents electronic text in a standard interchange format understandable to both librarian catalogers and nonlibrarian text encoders. The form and function of the TEI header is introduced, and its relationship to the MARC record is explained. (10 references) (KRN)

Comprehensive Population-Specific Marker Panel for Early Prostate Cancer Diagnostics and Risk Assessment

DTIC Science & Technology

2012-06-01

electronic signature for the eval-uation of Ganna Chornokur) 01/03/2012 09:15AM Manager: Date: Catherine Phelan C.P. ( electronic signature for...all tobacco products On average, how many cigarettes ( cigars Part 5, #l(e): note the number Part VI, A(l): table, raw "on average, how etc) did you

Jamming the Phone Lines: Pencils, Notebooks, and Modems (Computers in the Classroom).

ERIC Educational Resources Information Center

Holvig, Kenneth C.

1989-01-01

Describes how BreadNet (a national computer network of English teachers) has come to dominate the routine of a high school class. Notes that BreadNet gives students new motivation to write, inquire, and learn. Describes classroom electronic writing exchanges and an electronic writers' workshop which posted essays on BreadNet. (RS)

21 CFR 880.2910 - Clinical electronic thermometer.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Clinical electronic thermometer. 880.2910 Section... Monitoring Devices § 880.2910 Clinical electronic thermometer. (a) Identification. A clinical electronic... with an electronic signal amplification, conditioning, and display unit. The transducer may be in a...

21 CFR 880.2910 - Clinical electronic thermometer.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Clinical electronic thermometer. 880.2910 Section... Monitoring Devices § 880.2910 Clinical electronic thermometer. (a) Identification. A clinical electronic... with an electronic signal amplification, conditioning, and display unit. The transducer may be in a...

21 CFR 880.2910 - Clinical electronic thermometer.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 21 Food and Drugs 8 2012-04-01 2012-04-01 false Clinical electronic thermometer. 880.2910 Section... Monitoring Devices § 880.2910 Clinical electronic thermometer. (a) Identification. A clinical electronic... with an electronic signal amplification, conditioning, and display unit. The transducer may be in a...

21 CFR 880.2910 - Clinical electronic thermometer.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 21 Food and Drugs 8 2013-04-01 2013-04-01 false Clinical electronic thermometer. 880.2910 Section... Monitoring Devices § 880.2910 Clinical electronic thermometer. (a) Identification. A clinical electronic... with an electronic signal amplification, conditioning, and display unit. The transducer may be in a...

21 CFR 880.2910 - Clinical electronic thermometer.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 21 Food and Drugs 8 2014-04-01 2014-04-01 false Clinical electronic thermometer. 880.2910 Section... Monitoring Devices § 880.2910 Clinical electronic thermometer. (a) Identification. A clinical electronic... with an electronic signal amplification, conditioning, and display unit. The transducer may be in a...

Surgical implications and variability in the use of the flat epithelial atypia diagnosis on breast biopsy specimens.

PubMed

Samples, Laura S; Rendi, Mara H; Frederick, Paul D; Allison, Kimberly H; Nelson, Heidi D; Morgan, Thomas R; Weaver, Donald L; Elmore, Joann G

2017-08-01

Flat epithelial atypia (FEA) is a relatively new diagnostic term with uncertain clinical significance for surgical management. Any implied risk of invasive breast cancer associated with FEA is contingent upon diagnostic reproducibility, yet little is known regarding its use. Pathologists in the Breast Pathology Study interpreted one of four 60-case test sets, one slide per case, constructed from 240 breast biopsy specimens. An electronic data form with standardized diagnostic categories was used; participants were instructed to indicate all diagnoses present. We assessed participants' use of FEA as a diagnostic term within: 1) each test set; 2) 72 cases classified by reference as benign without FEA; and 3) six cases classified by reference as FEA. 115 pathologists participated, providing 6900 total independent assessments. Notation of FEA ranged from 0% to 35% of the cases interpreted, with most pathologists noting FEA on 4 or more test cases. At least one participant noted FEA in 34 of the 72 benign non-FEA cases. For the 6 reference FEA cases, participant agreement with the case reference FEA diagnosis ranged from 17% to 52%; diagnoses noted by participating pathologists for these FEA cases included columnar cell hyperplasia, usual ductal hyperplasia, atypical lobular hyperplasia, and atypical ductal hyperplasia. We observed wide variation in the diagnosis of FEA among U.S. pathologists. This suggests that perceptions of diagnostic criteria and any implied risk associated with FEA may also vary. Surgical excision following a core biopsy diagnosis of FEA should be reconsidered and studied further. Copyright © 2017 Elsevier Ltd. All rights reserved.

Incidence of postoperative delirium in patients undergoing total knee arthroplasty-an Asian perspective.

PubMed

Huang, Juncheng; Bin Abd Razak, Hamid Rahmatullah; Yeo, Seng Jin

2017-08-01

Very little is known in the literature with regards to the incidence of postoperative delirium following total knee arthroplasty (TKA) in Asians and the associated surgical factors. We conducted a retrospective study on incidence of postoperative delirium following TKA in Asians. One thousand sixteen knees of 954 consecutive patients who underwent TKA by the senior author of this study in the year 2006 were included in this review. All written and electronic medical records for patients were screened. Delirium was recorded to be present based on clinical entry onto the patients' inpatient hospital notes and a diagnosis made by psychiatrist based on the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV). All statistical analysis was performed using SPSS v.18.0 (IBM Corp., Armonk, NY, USA). The incidence of postoperative delirium in our patients undergoing TKA was 0.59%. Six patients had a confirmed diagnosis of delirium postoperatively. We noted an association between a higher mean age (P<0.0001), a lower body mass index (P<0.0001), Chinese ethnicity (P=0.002), male gender (P=0.002) and chronic opioid use (P<0.0001) with incidence of post-operative delirium. We also noted a higher proportion of post-operative DVT (P<0.0001) and wound infection (P<0.0001) in the delirium group. The incidence of postoperative delirium in Asians undergoing TKA in our institution is very low at 0.59%. Advanced age, lower body mass index, Chinese ethnicity, male gender and preoperative chronic opioid use may be associated with developing postoperative delirium.

In-situ Manipulation and Imaging of Switchable Two-dimensional Electron Gas at Oxide Heterointerfaces

DTIC Science & Technology

2016-11-30

AFRL-AFOSR-JP-TR-2017-0016 In-situ Manipulation and Imaging of Switchable Two-dimensional Electron Gas at Oxide Heterointerfaces CHANG BEOM EOM...Imaging of Switchable Two-dimensional Electron Gas at Oxide Heterointerfaces 5a.  CONTRACT NUMBER 5b.  GRANT NUMBER FA2386-15-1-4046 5c.  PROGRAM...NOTES 14. ABSTRACT The recent discovery of a two-dimensional electron gas (2DEG) at the interface between insulating perovskite oxides SrTiO3 and LaAlO3

Stakeholder Perceptions, Learning Opportunities, and Student Outcomes in Three Clinical Learning Models.

PubMed

Hendricks, Susan; DeMeester, Deborah; Stephenson, Evelyn; Welch, Janet

2016-05-01

Understanding the strengths and challenges of various clinical models is important for nursing education. Three long-standing clinical models (preceptored, hybrid, and traditional) were compared on several outcome measures related to satisfaction, learning opportunities, and student outcomes. Students, faculty, and preceptors participated in this study. Although no differences were noted in satisfaction or standardized examination scores, students in the preceptored clinical model were able to practice more psychomotor skills. Although participants in the preceptored model reported spending more time communicating with staff nurses than did those in the other models, students in the traditional model spent more time with faculty. No differences were noted among groups in student clinical observation time. All clinical learning models were focused on how clinical time was structured, without an emphasis on how faculty and preceptors work with students to develop nursing clinical reasoning skills. Identifying methodology to impact thinking in the clinical environment is a key next step. [J Nurs Educ. 2016;55(5):271-277.]. Copyright 2016, SLACK Incorporated.

Domain Adaption of Parsing for Operative Notes

PubMed Central

Wang, Yan; Pakhomov, Serguei; Ryan, James O.; Melton, Genevieve B.

2016-01-01

Background Full syntactic parsing of clinical text as a part of clinical natural language processing (NLP) is critical for a wide range of applications, such as identification of adverse drug reactions, patient cohort identification, and gene interaction extraction. Several robust syntactic parsers are publicly available to produce linguistic representations for sentences. However, these existing parsers are mostly trained on general English text and often require adaptation for optimal performance on clinical text. Our objective was to adapt an existing general English parser for the clinical text of operative reports via lexicon augmentation, statistics adjusting, and grammar rules modification based on a set of biomedical text. Method The Stanford unlexicalized probabilistic context-free grammar (PCFG) parser lexicon was expanded with SPECIALIST lexicon along with statistics collected from a limited set of operative notes tagged with a two of POS taggers (GENIA tagger and MedPost). The most frequently occurring verb entries of the SPECIALIST lexicon were adjusted based on manual review of verb usage in operative notes. Stanford parser grammar production rules were also modified based on linguistic features of operative reports. An analogous approach was then applied to the GENIA corpus to test the generalizability of this approach to biomedical text. Results The new unlexicalized PCFG parser extended with the extra lexicon from SPECIALIST along with accurate statistics collected from an operative note corpus tagged with GENIA POS tagger improved the parser performance by 2.26% from 87.64% to 89.90%. There was a progressive improvement with the addition of multiple approaches. Most of the improvement occurred with lexicon augmentation combined with statistics from the operative notes corpus. Application of this approach on the GENIA corpus showed that parsing performance was boosted by 3.81% with a simple new grammar and the addition of the GENIA corpus lexicon. Conclusion Using statistics collected from clinical text tagged with POS taggers along with proper modification of grammars and lexicons of an unlexicalized PCFG parser can improve parsing performance. PMID:25661593

Comment on "A note on generalized radial mesh generation for plasma electronic structure"

NASA Astrophysics Data System (ADS)

Pain, J.-Ch.

2011-12-01

In a recent note, B.G. Wilson and V. Sonnad [1] proposed a very useful closed form expression for the efficient generation of analytic log-linear radial meshes. The central point of the note is an implicit equation for the parameter h, involving Lambert's function W[x]. The authors mention that they are unaware of any direct proof of this equation (they obtained it by re-summing the Taylor expansion of h[α] using high-order coefficients obtained by analytic differentiation of the implicit definition using symbolic manipulation). In the present comment, we propose a direct proof of that equation.

Towards automatic music transcription: note extraction based on independent subspace analysis

NASA Astrophysics Data System (ADS)

Wellhausen, Jens; Hoynck, Michael

2005-01-01

Due to the increasing amount of music available electronically the need of automatic search, retrieval and classification systems for music becomes more and more important. In this paper an algorithm for automatic transcription of polyphonic piano music into MIDI data is presented, which is a very interesting basis for database applications, music analysis and music classification. The first part of the algorithm performs a note accurate temporal audio segmentation. In the second part, the resulting segments are examined using Independent Subspace Analysis to extract sounding notes. Finally, the results are used to build a MIDI file as a new representation of the piece of music which is examined.

Towards automatic music transcription: note extraction based on independent subspace analysis

NASA Astrophysics Data System (ADS)

Wellhausen, Jens; Höynck, Michael

2004-12-01

Due to the increasing amount of music available electronically the need of automatic search, retrieval and classification systems for music becomes more and more important. In this paper an algorithm for automatic transcription of polyphonic piano music into MIDI data is presented, which is a very interesting basis for database applications, music analysis and music classification. The first part of the algorithm performs a note accurate temporal audio segmentation. In the second part, the resulting segments are examined using Independent Subspace Analysis to extract sounding notes. Finally, the results are used to build a MIDI file as a new representation of the piece of music which is examined.

Reduced Heat Flux Through Preferential Surface Reactions Leading to Vibrationally and Electronically Excited Product States

DTIC Science & Technology

2016-03-04

release. 13. SUPPLEMENTARY NOTES 14. ABSTRACT Instead of characterizing a hypersonic flight environment and then selecting an appropriate thermal ...Instead of characterizing a hypersonic flight environment and then selecting an appropriate thermal protection system (TPS) that can survive the...than the O2(a1Δg) production rate on the surface. It is also interesting to note that the ground state formation seems to approach a constant

Electron beam charging and arc discharging of spacecraft insulating materials

NASA Technical Reports Server (NTRS)

Balmain, K. G.

1983-01-01

Samples of Mylar and Teflon film were exposed to combinations of monoenergetic electron and lithium ion fluxes in various ratios. The samples' discharge rates and strengths were found to diminish as the ion proportion increased. Various types of capacitors were exposed in air to beta irradiation from a 100 mCie Strontium-90 radioisotope source located at distances ranging from 2 cm to 5 cm from the capacitors. In these preliminary experiments, no evidence of spontaneous electrical breakdown was noted, nor was any change in RF impedance detectable using the available instrumentation. A decrease in DC resistance was noted, apparently due to radiation-induced conductivity. A cylindrical glass vacuum chamber is being assembled. Its inside dimensions are 44 cm diameter by 100 cm length. All necessary associated components and instruments have been acquired, including electron and ion guns, Trek surface potential probe and turbo-molecular pump. A mass-spectrometer detector for leaks and evolved gases will be ordered shortly.

Is cocaine use recognised as a risk factor for acute coronary syndrome by doctors in the UK?

PubMed Central

Wood, David M; Hill, Duncan; Gunasekera, Awini; Greene, Shaun L; Jones, Alison L; Dargan, Paul I

2007-01-01

Background Cocaine is a sympathomimetic agent that can cause coronary artery vasospasm leading to myocardial ischaemia, acute coronary syndrome and acute myocardial infarction (ACS/AMI). The management of cocaine‐induced ACS/AMI is different to classical atheromatous ACS/MI, because the mechanisms are different. Methods Knowledge study—Junior medical staff were given a scenario of a patient with ACS and asked to identify potential risk factors for ACS and which ones they routinely asked about in clinical practice. Retrospective study—Retrospective notes reviews of patients with suspected and proven (elevated troponin T concentration) ACS were undertaken to determine the recording of cocaine use/non‐use in clinical notes. Results Knowledge study—There was no significant difference in the knowledge that cocaine was a risk factor compared to other “classical” cardiovascular risk factors, but juniors doctors were less likely to ask routinely about cocaine use compared to other “classical” risk factors (52.9% vs >90% ,respectively). Retrospective study—Cocaine use or non‐use was documented in 3.7% (4/109) and 4% (2/50) of clinical notes of patients with suspected and proven ACS, respectively. Discussion Although junior medical staff are aware that cocaine is a risk factor for ACS/AMI, they are less likely to ask about it in routine clinical practice or record its use/non‐use in clinical notes. It is essential that patients presenting with suspected ACS are asked about cocaine use, since the management of these patients is different to those with ACS secondary to “classical” cardiovascular risk factors. PMID:17488862

Notes on Barkas-Andersen effect

NASA Astrophysics Data System (ADS)

Sigmund, Peter; Schinner, Andreas

2014-10-01

Stimulated by recent statements in the literature on electronic stopping of heavy ions in matter, we try to clarify some central theoretical aspects of the Barkas-Andersen effect, about which there does not seem to be unanimous agreement in the community. We address the role of inner versus outer target shells, of projectile screening by bound electrons, the interference between Lindhard's description and perturbation theory, as well as the equivalence between a single-electron versus Fermi-gas description of the effect.

Special Inspector General for Iraq Reconstruction. Quarterly Report and Semiannual Report to the United States Congress

DTIC Science & Technology

2008-01-30

Energy Fusion Cell, and allocations include $110 million for oil pipeline exclusion zones—which aim to prevent illegal tapping and sabotage of...sectors in Iraq. This quarter SIGIR highlights two of these programs: the electronic funds transfer ( EFT ) system and U.S. advisory support provided to...the Iraq Stock Exchange. eleCTroniC funds Transfer SIGIR noted last quarter that Iraq finally acti- vated an electronic funds transfer ( EFT ) system

Special Inspector General for Iraq Reconstruction: Quarterly Report and Semiannual Report to the United States Congress

DTIC Science & Technology

2008-01-30

Cell, and allocations include $110 million for oil pipeline exclusion zones—which aim to prevent illegal tapping and sabotage of pipelines—$51...This quarter SIGIR highlights two of these programs: the electronic funds transfer ( EFT ) system and U.S. advisory support provided to the Iraq Stock...Exchange. eleCTroniC funds Transfer SIGIR noted last quarter that Iraq finally acti- vated an electronic funds transfer ( EFT ) system. The United

Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

PubMed

Chen, Jinying; Yu, Hong

2017-04-01

Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for patients to comprehend. One way to help patients is to reduce information overload and help them focus on medical terms that matter most to them. Targeted education can then be developed to improve patient EHR comprehension and the quality of care. The aim of this work was to develop FIT (Finding Important Terms for patients), an unsupervised natural language processing (NLP) system that ranks medical terms in EHR notes based on their importance to patients. We built FIT on a new unsupervised ensemble ranking model derived from the biased random walk algorithm to combine heterogeneous information resources for ranking candidate terms from each EHR note. Specifically, FIT integrates four single views (rankers) for term importance: patient use of medical concepts, document-level term salience, word co-occurrence based term relatedness, and topic coherence. It also incorporates partial information of term importance as conveyed by terms' unfamiliarity levels and semantic types. We evaluated FIT on 90 expert-annotated EHR notes and used the four single-view rankers as baselines. In addition, we implemented three benchmark unsupervised ensemble ranking methods as strong baselines. FIT achieved 0.885 AUC-ROC for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FIT for identifying important terms from EHR notes was 0.813 AUC-ROC. Both performance scores significantly exceeded the corresponding scores from the four single rankers (P<0.001). FIT also outperformed the three ensemble rankers for most metrics. Its performance is relatively insensitive to its parameter. FIT can automatically identify EHR terms important to patients. It may help develop future interventions to improve quality of care. By using unsupervised learning as well as a robust and flexible framework for information fusion, FIT can be readily applied to other domains and applications. Copyright © 2017 Elsevier Inc. All rights reserved.

Asian-Chinese patient perceptions of natural orifice transluminal endoscopic surgery cholecystectomy.

PubMed

Teoh, Anthony Yuen Bun; Ng, Enders Kwok Wai; Chock, Alana; Swanstrom, Lee; Varadarajulu, Shyam; Chiu, Philip Wai Yan

2014-05-01

Patient and physician perceptions of natural orifice transluminal endoscopic surgery (NOTES) have been reported for the Western population. However, whether Asian-Chinese patients share the same perspectives as compared to the Western population is unknown. This was a cross-sectional survey carried out in the surgical outpatient's clinic at the Prince of Wales Hospital between June and September 2011. Patients were provided with an information leaflet and asked to complete a questionnaire regarding their perceptions of and preferences for NOTES cholecystectomy. Female patients attending the clinic were given an additional questionnaire regarding attitudes towards transvaginal surgery. Two hundred patients were recruited to complete the questionnaire(s) and the male to female ratio was 1:1. One hundred and fourteen patients (57%) preferred to undergo NOTES cholecystectomy for cosmetic reasons (P=0.009). Oral and anal routes were both acceptable for NOTES accesses in males and females. Forty-one percent of the female patients would consider transvaginal NOTES. Of these patients, significantly more patients indicated that the reason for choosing transvaginal NOTES was to minimize the risk of hernia (P=0.016) and to reduce pain associated with the procedure (P=0.017). The risk of complications (84.5%) and the cost of the procedure (58%) were considered the most important aspects when choosing a surgical approach by Asian-Chinese patients. Asian-Chinese preferred NOTES mainly for cosmetic reasons. However, the transvaginal route was less acceptable to females. Significant differences in patient perception on NOTES were observed between Asian-Chinese and Western patients. © 2013 The Authors. Digestive Endoscopy © 2013 Japan Gastroenterological Endoscopy Society.

Ensembles of NLP Tools for Data Element Extraction from Clinical Notes

PubMed Central

Kuo, Tsung-Ting; Rao, Pallavi; Maehara, Cleo; Doan, Son; Chaparro, Juan D.; Day, Michele E.; Farcas, Claudiu; Ohno-Machado, Lucila; Hsu, Chun-Nan

2016-01-01

Natural Language Processing (NLP) is essential for concept extraction from narrative text in electronic health records (EHR). To extract numerous and diverse concepts, such as data elements (i.e., important concepts related to a certain medical condition), a plausible solution is to combine various NLP tools into an ensemble to improve extraction performance. However, it is unclear to what extent ensembles of popular NLP tools improve the extraction of numerous and diverse concepts. Therefore, we built an NLP ensemble pipeline to synergize the strength of popular NLP tools using seven ensemble methods, and to quantify the improvement in performance achieved by ensembles in the extraction of data elements for three very different cohorts. Evaluation results show that the pipeline can improve the performance of NLP tools, but there is high variability depending on the cohort. PMID:28269947

Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.

PubMed

Kuo, Tsung-Ting; Rao, Pallavi; Maehara, Cleo; Doan, Son; Chaparro, Juan D; Day, Michele E; Farcas, Claudiu; Ohno-Machado, Lucila; Hsu, Chun-Nan

2016-01-01

Natural Language Processing (NLP) is essential for concept extraction from narrative text in electronic health records (EHR). To extract numerous and diverse concepts, such as data elements (i.e., important concepts related to a certain medical condition), a plausible solution is to combine various NLP tools into an ensemble to improve extraction performance. However, it is unclear to what extent ensembles of popular NLP tools improve the extraction of numerous and diverse concepts. Therefore, we built an NLP ensemble pipeline to synergize the strength of popular NLP tools using seven ensemble methods, and to quantify the improvement in performance achieved by ensembles in the extraction of data elements for three very different cohorts. Evaluation results show that the pipeline can improve the performance of NLP tools, but there is high variability depending on the cohort.

An Evaluation of a Natural Language Processing Tool for Identifying and Encoding Allergy Information in Emergency Department Clinical Notes

PubMed Central

Goss, Foster R.; Plasek, Joseph M.; Lau, Jason J.; Seger, Diane L.; Chang, Frank Y.; Zhou, Li

2014-01-01

Emergency department (ED) visits due to allergic reactions are common. Allergy information is often recorded in free-text provider notes; however, this domain has not yet been widely studied by the natural language processing (NLP) community. We developed an allergy module built on the MTERMS NLP system to identify and encode food, drug, and environmental allergies and allergic reactions. The module included updates to our lexicon using standard terminologies, and novel disambiguation algorithms. We developed an annotation schema and annotated 400 ED notes that served as a gold standard for comparison to MTERMS output. MTERMS achieved an F-measure of 87.6% for the detection of allergen names and no known allergies, 90% for identifying true reactions in each allergy statement where true allergens were also identified, and 69% for linking reactions to their allergen. These preliminary results demonstrate the feasibility using NLP to extract and encode allergy information from clinical notes. PMID:25954363

Predicting the risk of suicide by analyzing the text of clinical notes.

PubMed

Poulin, Chris; Shiner, Brian; Thompson, Paul; Vepstas, Linas; Young-Xu, Yinong; Goertzel, Benjamin; Watts, Bradley; Flashman, Laura; McAllister, Thomas

2014-01-01

We developed linguistics-driven prediction models to estimate the risk of suicide. These models were generated from unstructured clinical notes taken from a national sample of U.S. Veterans Administration (VA) medical records. We created three matched cohorts: veterans who committed suicide, veterans who used mental health services and did not commit suicide, and veterans who did not use mental health services and did not commit suicide during the observation period (n = 70 in each group). From the clinical notes, we generated datasets of single keywords and multi-word phrases, and constructed prediction models using a machine-learning algorithm based on a genetic programming framework. The resulting inference accuracy was consistently 65% or more. Our data therefore suggests that computerized text analytics can be applied to unstructured medical records to estimate the risk of suicide. The resulting system could allow clinicians to potentially screen seemingly healthy patients at the primary care level, and to continuously evaluate the suicide risk among psychiatric patients.

Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes

PubMed Central

Thompson, Paul; Vepstas, Linas; Young-Xu, Yinong; Goertzel, Benjamin; Watts, Bradley; Flashman, Laura; McAllister, Thomas

2014-01-01

We developed linguistics-driven prediction models to estimate the risk of suicide. These models were generated from unstructured clinical notes taken from a national sample of U.S. Veterans Administration (VA) medical records. We created three matched cohorts: veterans who committed suicide, veterans who used mental health services and did not commit suicide, and veterans who did not use mental health services and did not commit suicide during the observation period (n = 70 in each group). From the clinical notes, we generated datasets of single keywords and multi-word phrases, and constructed prediction models using a machine-learning algorithm based on a genetic programming framework. The resulting inference accuracy was consistently 65% or more. Our data therefore suggests that computerized text analytics can be applied to unstructured medical records to estimate the risk of suicide. The resulting system could allow clinicians to potentially screen seemingly healthy patients at the primary care level, and to continuously evaluate the suicide risk among psychiatric patients. PMID:24489669

A retrospective review of performance and utility of routine clinical pelvimetry.

PubMed

Blackadar, Charles S; Viera, Anthony J

2004-01-01

Some authorities have questioned the utility of performing clinical pelvimetry as part of routine prenatal care. This study determined the frequency with which clinical pelvimetry is still performed at two military hospitals and whether the results of pelvimetry influence the management of labor and delivery. We conducted a retrospective review of prenatal records at two military hospitals. One was an overseas hospital, and one was a family medicine teaching hospital in the United States. The records of 660 pregnant women were reviewed to identify documentation that pelvimetry was performed during prenatal care and whether there was evidence that the physician managing labor and delivery altered management based on pelvimetry results. Seventy percent (461) of the 660 records reviewed had all pelvimetry measurements documented as normal, or the provider had written "good for TOL (trial of labor)," "proven to XX pounds," or similar annotation that pelvimetry was normal. Nine percent (58 records) had no documentation of pelvimetry (pelvimetry section left blank). The remaining 21% (141 charts) had at least one pelvimetry measurement listed as abnormal on the initial prenatal exam. No admission note, progress note, or operative note recorded during labor and delivery made reference to clinical pelvimetry results. No abnormal pelvimetry result was referenced in follow-up visits or appeared to make any difference in mode of delivery or treatment in labor. Two women (one at each institution) had initial visit notes indicating the need to consider radiographic pelvimetry based on the results of clinical exam, but this test was not done in either case, and both women delivered vaginally. Our study indicates that clinical pelvimetry does not change management of pregnant patients. Current practice is to allow all women a trial of labor regardless of pelvimetry results. This makes the routine performance and recording of clinical pelvimetry a waste of time, a potential liability, and an unnecessary discomfort for patients.

Infrared Semiconductor Metamaterials

DTIC Science & Technology

2016-09-01

Approved for public release. 13. SUPPLEMENTARY NOTES 14. ABSTRACT The central objective of this program is to create a new class of programmable ...this program is to create a new class of programmable infrared optic that can steer or focus beams and is reconfigurable at electronic time...element of a programmable infrared optic that can steer or focus beams and is reconfigurable at electronic time-scales. B. Major

The External Quality Assessment Scheme (EQAS): Experiences of a medium sized accredited laboratory.

PubMed

Bhat, Vivek; Chavan, Preeti; Naresh, Chital; Poladia, Pratik

2015-06-15

We put forth our experiences of EQAS, analyzed the result discrepancies, reviewed the corrective actions and also put forth strategies for risk identification and prevention of potential errors in a medical laboratory. For hematology, EQAS samples - blood, peripheral and reticulocyte smears - were received quarterly every year. All the blood samples were processed on HMX hematology analyzer by Beckman-Coulter. For clinical chemistry, lyophilized samples were received and were processed on Siemens Dimension Xpand and RXL analyzers. For microbiology, EQAS samples were received quarterly every year as lyophilized strains along with smears and serological samples. In hematology no outliers were noted for reticulocyte and peripheral smear examination. Only one outlier was noted for CBC. In clinical chemistry outliers (SDI ≥ 2) were noted in 7 samples (23 parameters) out of total 36 samples (756 parameters) processed. Thirteen of these parameters were analyzed as random errors, 3 as transcriptional errors and seven instances of systemic error were noted. In microbiology, one discrepancy was noted in isolate identification and in the grading of smears for AFB by Ziehl Neelsen stain. EQAS along with IQC is a very important tool for maintaining optimal quality of services. Copyright © 2015 Elsevier B.V. All rights reserved.

1. On note taking.

PubMed

Plaut, Alfred B J

2005-02-01

In this paper the author explores the theoretical and technical issues relating to taking notes of analytic sessions, using an introspective approach. The paper discusses the lack of a consistent approach to note taking amongst analysts and sets out to demonstrate that systematic note taking can be helpful to the analyst. The author describes his discovery that an initial phase where as much data was recorded as possible did not prove to be reliably helpful in clinical work and initially actively interfered with recall in subsequent sessions. The impact of the nature of the analytic session itself and the focus of the analyst's interest on recall is discussed. The author then describes how he modified his note taking technique to classify information from sessions into four categories which enabled the analyst to select which information to record in notes. The characteristics of memory and its constructive nature are discussed in relation to the problems that arise in making accurate notes of analytic sessions.

Note: An improved 3D imaging system for electron-electron coincidence measurements

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lin, Yun Fei; Lee, Suk Kyoung; Adhikari, Pradip

We demonstrate an improved imaging system that can achieve highly efficient 3D detection of two electrons in coincidence. The imaging system is based on a fast frame complementary metal-oxide semiconductor camera and a high-speed waveform digitizer. We have shown previously that this detection system is capable of 3D detection of ions and electrons with good temporal and spatial resolution. Here, we show that with a new timing analysis algorithm, this system can achieve an unprecedented dead-time (<0.7 ns) and dead-space (<1 mm) when detecting two electrons. A true zero dead-time detection is also demonstrated.

Note: An improved 3D imaging system for electron-electron coincidence measurements

NASA Astrophysics Data System (ADS)

Lin, Yun Fei; Lee, Suk Kyoung; Adhikari, Pradip; Herath, Thushani; Lingenfelter, Steven; Winney, Alexander H.; Li, Wen

2015-09-01

We demonstrate an improved imaging system that can achieve highly efficient 3D detection of two electrons in coincidence. The imaging system is based on a fast frame complementary metal-oxide semiconductor camera and a high-speed waveform digitizer. We have shown previously that this detection system is capable of 3D detection of ions and electrons with good temporal and spatial resolution. Here, we show that with a new timing analysis algorithm, this system can achieve an unprecedented dead-time (<0.7 ns) and dead-space (<1 mm) when detecting two electrons. A true zero dead-time detection is also demonstrated.

A note on antenna models in a warm isotropic plasma

NASA Technical Reports Server (NTRS)

Singh, N.

1980-01-01

The electron-transparent and electron-reflecting models of antennas in a warm isotropic plasma are reexamined. It is shown that a purely electrical treatment of both the models without an explicit use of the boundary condition on electron velocity yields the same results as those previously obtained through an electromechanical treatment. The essential difference between the two models is that for the electron-reflecting model, fields are nonzero only in the exterior region, while for the electron-transparent model, they are nonzero both in the exterior and interior regions of the antenna. This distinction helps in clarifying some misconceptions about these models of antennas in warm isotropic plasma.

DTO 1118 - Survey of the Mir Space Station

NASA Image and Video Library

1998-03-04

S89-E-5520 (22-31 Jan 1998) --- This Electronic Still Camera (ESC) image shows Russia?s Mir Space Station backdropped over clouds, not long after separation from the Space Shuttle Endeavour. Thus bringing to an end the eighth Shuttle/Mir docking mission activities. (Please note that this series of post-separation views is not posted here in chronological order because of the use of a second ESC. Note also that GMT times were not available for all images.)

Demographic and clinical features of suspected dengue and dengue haemorrhagic fever in the Northern Province of Sri Lanka, a region afflicted by an internal conflict for more than 30 years-a retrospective analysis.

PubMed

Murugananthan, K; Kandasamy, M; Rajeshkannan, N; Noordeen, F

2014-10-01

The aim of this study was to determine the demographic, clinical, and notification data of suspected dengue fever (DF) and dengue hemorrhagic fever (DHF) cases admitted to Jaffna Teaching Hospital, Sri Lanka. The data were collected from bed head tickets of all patients presenting with clinically suspected DF/DHF from October 2009 to September 2010. A total of 1085 clinically suspected DF/DHF cases were identified, with high numbers occurring during December 2009 to March 2010. The majority of the reported patients were females (n = 550, 50.7%) and approximately three-quarters of the patients (n = 797, 73.5%) were adults. All had fever, but fever spikes were noted in only 129 cases (11.9%; 95% confidence interval (CI) 10.1-13.9%). Over 50% of cases had vomiting (95% CI 47.5-53.5%). Haemorrhages were noted in 266 (24.5%), with gum bleeding in 99 patients (37.2%). Low white blood cell and platelet counts were noted in 27.1% and 85.6% of cases, respectively. Of the 1085 cases, only 24 (2.2%) were screened for dengue IgM/IgG and only 458 cases (42.2%) were notified to the Epidemiology Unit, Ministry of Health, Sri Lanka. The absence of laboratory diagnosis and poor notification to the Epidemiology Unit were the major drawbacks noted. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Production of a large, quiescent, magnetized plasma

NASA Technical Reports Server (NTRS)

Landt, D. L.; Ajmera, R. C.

1976-01-01

An experimental device is described which produces a large homogeneous quiescent magnetized plasma. In this device, the plasma is created in an evacuated brass cylinder by ionizing collisions between electrons emitted from a large-diameter electron gun and argon atoms in the chamber. Typical experimentally measured values of the electron temperature and density are presented which were obtained with a glass-insulated planar Langmuir probe. It is noted that the present device facilitates the study of phenomena such as waves and diffusion in magnetized plasmas.

METHODOLOGICAL NOTES: Integrating magnetism into semiconductor electronics

NASA Astrophysics Data System (ADS)

Zakharchenya, Boris P.; Korenev, Vladimir L.

2005-06-01

The view of a ferromagnetic-semiconducting hybrid structure as a single tunable system is presented. Based on an analysis of existing experiments it is shown that, contrary to a 'common sense', a nonmagnetic semiconductor is capable of playing an important role in controlling ferromagnetism. Magnetic properties of a hybrid (the hysteresis loop and the spatial orientation of magnetization) can be tuned both optically and electrically by utilizing semiconductor—making the hybrid an electronic-write-in and electronic-read-out elementary storage unit.

Young Investigator Program: Modular Paradigm for Scalable Quantum Information

DTIC Science & Technology

2016-03-04

For comparison, we plot the time required with direct driving (green lines) with bare Rabi frequencies 20 and 100kHz, when the electronic spin in state...from the NV center. Note that virtual transition of the electronic spin in the ms = 0 manifold result in a decrease of the effective Rabi frequency...strength [17–19]. This nuclear Rabi enhancement depends on the state of the electronic spin. The effective Rabi frequency Ω for an isolated nuclear spin

Effects of procurement practices on quality of medical device or service received: a qualitative study comparing countries.

PubMed

Lingg, Myriam; Wyss, Kaspar; Durán-Arenas, Luis

2016-08-08

We know little about how procurement of a high-risk medical device (HRMD) affects clinical practice and outcomes. In health systems in high-income countries, and specifically those that maintain a national arthroplasty registry, procurement decisions are frequently guided by long-term clinical results, with the goal of ensuring at least standard quality of HRMDs. But in countries like Mexico, decision-making is often dominated by lowest acquisition price. We set out to study the impact of procurement for orthopaedic HRMDs on clinical procedures and outcomes. We based our qualitative study on 59 in-depth interviews with stakeholders from Mexico, Switzerland, Germany, and UK: orthopaedic specialists, government officials, other experts, and social security system managers or administrators. We took a healthcare delivery approach to capturing and comparing factors that affected the regulations of HRMDs and procurement processes, and to understanding connections between procurement and clinical practice. Our findings demonstrate for procurement processes that the three European countries compared to Mexico don't have similar concerns with regards to their procurement processes. Deficiencies of procurement regulations and practices identified from representatives in Mexico were almost absent in European countries. We identified three areas of deficiency: 1) HRMD regulations based on insufficiently robust clinical evidence (mainly noted by European countries); 2) Follow-up on Health Technology Assessments is inadequate (noted by Mexico) and methodology not always good enough (noted by European countries); and, 3) Lowest-acquisition price often guides procurement decisions and thus may not align with needs of clinical procedures (noted by Mexico and some European countries). Procurement processes for orthopaedic HRMDs may have an impact on clinical procedures and outcomes. A favourable approach is one where orthopaedic specialists are parties to the procurement process, and post-market surveillance data informs decision-making. Actors in the procurement process can improve their impact on clinical procedures and outcomes by developing specific strategies that better align the needs of both, procurement and clinical procedures.

Keeping mum about dad: "contracts" to protect gamete donor anonymity.

PubMed

Rees, Anne

2012-06-01

This article considers the legal status of so-called contracts for anonymity between fertility clinics and donors of gametes that were made in the period before legislation authorising disclosure. It notes that while clinics frequently cite the existence of these "contracts" to argue against retrospective legislation authorising disclosure of the donor's identity, they may be nothing more than one-sided statements of informed consent. However, the article notes that even if an agreement between a donor and a clinic is not contractual, it does not follow that a person conceived through assisted reproductive technology has any right of access to the identity of the donor. The writer has not been able to locate examples of written promises by the clinics promising anonymity. There are written promises by the donors not to seek the identity of the recipients. These promises do not bind the resulting offspring nor do they appear to be supported by consideration. The article suggests that the basis for any individual donor to restrain a clinic from revealing their identity may be found in promissory estoppel. Nevertheless, there is no real issue in Australia concerning clinics revealing these details absent legislative authority. The issue is whether parliaments will legislate to authorise the disclosure. The article notes that it would be rare for parliaments to legislate to overturn existing legal contracts but suggests that the contract argument may not be as strong as has been thought.

Diagnostic imaging learning resources evaluated by students and recent graduates.

PubMed

Alexander, Kate; Bélisle, Marilou; Dallaire, Sébastien; Fernandez, Nicolas; Doucet, Michèle

2013-01-01

Many learning resources can help students develop the problem-solving abilities and clinical skills required for diagnostic imaging. This study explored veterinary students' perceptions of the usefulness of a variety of learning resources. Perceived resource usefulness was measured for different levels of students and for academic versus clinical preparation. Third-year (n=139) and final (fifth) year (n=105) students and recent graduates (n=56) completed questionnaires on perceived usefulness of each resource. Resources were grouped for comparison: abstract/low complexity (e.g., notes, multimedia presentations), abstract/high complexity (e.g., Web-based and film case repositories), concrete/low complexity (e.g., large-group "clicker" workshops), and concrete/high complexity (e.g., small-group interpretation workshops). Lower-level students considered abstract/low-complexity resources more useful for academic preparation and concrete resources more useful for clinical preparation. Higher-level students/recent graduates also considered abstract/low-complexity resources more useful for academic preparation. For all levels, lecture notes were considered highly useful. Multimedia slideshows were an interactive complement to notes. The usefulness of a Web-based case repository was limited by accessibility problems and difficulty. Traditional abstract/low-complexity resources were considered useful for more levels and contexts than expected. Concrete/high-complexity resources need to better represent clinical practice to be considered more useful for clinical preparation.

Automated validation of patient safety clinical incident classification: macro analysis.

PubMed

Gupta, Jaiprakash; Patrick, Jon

2013-01-01

Patient safety is the buzz word in healthcare. Incident Information Management System (IIMS) is electronic software that stores clinical mishaps narratives in places where patients are treated. It is estimated that in one state alone over one million electronic text documents are available in IIMS. In this paper we investigate the data density available in the fields entered to notify an incident and the validity of the built in classification used by clinician to categories the incidents. Waikato Environment for Knowledge Analysis (WEKA) software was used to test the classes. Four statistical classifier based on J48, Naïve Bayes (NB), Naïve Bayes Multinominal (NBM) and Support Vector Machine using radial basis function (SVM_RBF) algorithms were used to validate the classes. The data pool was 10,000 clinical incidents drawn from 7 hospitals in one state in Australia. In first part of the study 1000 clinical incidents were selected to determine type and number of fields worth investigating and in the second part another 5448 clinical incidents were randomly selected to validate 13 clinical incident types. Result shows 74.6% of the cells were empty and only 23 fields had content over 70% of the time. The percentage correctly classified classes on four algorithms using categorical dataset ranged from 42 to 49%, using free-text datasets from 65% to 77% and using both datasets from 72% to 79%. Kappa statistic ranged from 0.36 to 0.4. for categorical data, from 0.61 to 0.74. for free-text and from 0.67 to 0.77 for both datasets. Similar increases in performance in the 3 experiments was noted on true positive rate, precision, F-measure and area under curve (AUC) of receiver operating characteristics (ROC) scores. The study demonstrates only 14 of 73 fields in IIMS have data that is usable for machine learning experiments. Irrespective of the type of algorithms used when all datasets are used performance was better. Classifier NBM showed best performance. We think the classifier can be improved further by reclassifying the most confused classes and there is scope to apply text mining tool on patient safety classifications.

Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records.

PubMed

Luo, Yuan; Szolovits, Peter

2016-01-01

In natural language processing, stand-off annotation uses the starting and ending positions of an annotation to anchor it to the text and stores the annotation content separately from the text. We address the fundamental problem of efficiently storing stand-off annotations when applying natural language processing on narrative clinical notes in electronic medical records (EMRs) and efficiently retrieving such annotations that satisfy position constraints. Efficient storage and retrieval of stand-off annotations can facilitate tasks such as mapping unstructured text to electronic medical record ontologies. We first formulate this problem into the interval query problem, for which optimal query/update time is in general logarithm. We next perform a tight time complexity analysis on the basic interval tree query algorithm and show its nonoptimality when being applied to a collection of 13 query types from Allen's interval algebra. We then study two closely related state-of-the-art interval query algorithms, proposed query reformulations, and augmentations to the second algorithm. Our proposed algorithm achieves logarithmic time stabbing-max query time complexity and solves the stabbing-interval query tasks on all of Allen's relations in logarithmic time, attaining the theoretic lower bound. Updating time is kept logarithmic and the space requirement is kept linear at the same time. We also discuss interval management in external memory models and higher dimensions.

Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records

PubMed Central

Luo, Yuan; Szolovits, Peter

2016-01-01

In natural language processing, stand-off annotation uses the starting and ending positions of an annotation to anchor it to the text and stores the annotation content separately from the text. We address the fundamental problem of efficiently storing stand-off annotations when applying natural language processing on narrative clinical notes in electronic medical records (EMRs) and efficiently retrieving such annotations that satisfy position constraints. Efficient storage and retrieval of stand-off annotations can facilitate tasks such as mapping unstructured text to electronic medical record ontologies. We first formulate this problem into the interval query problem, for which optimal query/update time is in general logarithm. We next perform a tight time complexity analysis on the basic interval tree query algorithm and show its nonoptimality when being applied to a collection of 13 query types from Allen’s interval algebra. We then study two closely related state-of-the-art interval query algorithms, proposed query reformulations, and augmentations to the second algorithm. Our proposed algorithm achieves logarithmic time stabbing-max query time complexity and solves the stabbing-interval query tasks on all of Allen’s relations in logarithmic time, attaining the theoretic lower bound. Updating time is kept logarithmic and the space requirement is kept linear at the same time. We also discuss interval management in external memory models and higher dimensions. PMID:27478379

On flattening filter‐free portal dosimetry

PubMed Central

Novais, Juan Castro; Molina López, María Yolanda; Maqueda, Sheila Ruiz

2016-01-01

Varian introduced (in 2010) the option of removing the flattening filter (FF) in their C‐Arm linacs for intensity‐modulated treatments. This mode, called flattening filter‐free (FFF), offers the advantage of a greater dose rate. Varian's “Portal Dosimetry” is an electronic portal imager device (EPID)‐based tool for IMRT verification. This tool lacks the capability of verifying flattening filter‐free (FFF) modes due to saturation and lack of an image prediction algorithm. (Note: the latest versions of this software and EPID correct these issues.) The objective of the present study is to research the feasibility of said verifications (with the older versions of the software and EPID). By placing the EPID at a greater distance, the images can be acquired without saturation, yielding a linearity similar to the flattened mode. For the image prediction, a method was optimized based on the clinically used algorithm (analytical anisotropic algorithm (AAA)) over a homogeneous phantom. The depth inside the phantom and its electronic density were tailored. An application was developed to allow the conversion of a dose plane (in DICOM format) to Varian's custom format for Portal Dosimetry. The proposed method was used for the verification of test and clinical fields for the three qualities used in our institution for IMRT: 6X, 6FFF and 10FFF. The method developed yielded a positive verification (more than 95% of the points pass a 2%/2 mm gamma) for both the clinical and test fields. This method was also capable of “predicting” static and wedged fields. A workflow for the verification of FFF fields was developed. This method relies on the clinical algorithm used for dose calculation and is able to verify the FFF modes, as well as being useful for machine quality assurance. The procedure described does not require new hardware. This method could be used as a verification of Varian's Portal Dose Image Prediction. PACS number(s): 87.53.Kn, 87.55.T‐, 87.56.bd, 87.59.‐e PMID:27455487

Taking note of the perceived value and impact of medical student chart documentation on education and patient care.

PubMed

Friedman, Erica; Sainte, Michelle; Fallar, Robert

2010-09-01

To determine the extent of restrictions to medical student documentation in patients' records and the opinions of medical education leaders about such restrictions' impact on medical student education and patient care. Education deans (n = 126) of medical schools in the United States and Canada were surveyed to determine policies regarding placement of medical student notes in the patient record, the value of medical students' documentation in the medical record, and the use of electronic medical records (EMRs) for patient notes. The instrument was a 23-item anonymous Web survey. Seventy-nine deans responded. Over 90% believed student notes belong in medical records, but only 42% had a policy regarding this. Ninety-three percent indicated that without student notes, student education would be negatively affected. Fewer (56%) indicated that patient care would be negatively affected. Most thought limiting students' notes would negatively affect several other issues: feeling a part of the team (96%), preparation for internship (95%), and students' sense of involvement (94%). Half (52%) reported that fourth-year students could place notes in paper charts at "all" affiliated hospitals, and 6% reported that fourth-year students could do so at "no" hospitals. Although students' ability to enter notes in patients' records is believed to be important for student education, only about half of all hospitals allow all students' notes in the EMR. Policies regarding placement of student notes should be implemented to ensure students' competency in note writing and their value as members of the patient care team.

The oral health status of 4,732 adults with intellectual and developmental disabilities

PubMed Central

Morgan, John P.; Minihan, Paula M.; Stark, Paul C.; Finkelman, Matthew D.; Yantsides, Konstantina E.; Park, Angel; Nobles, Carrie J.; Tao, Wen; Must, Aviva

2015-01-01

Background Two reports by the U.S. surgeon general noted the disproportionate impact of oral disease on and lack of oral health information regarding people with disabilities. Methods In this retrospective study, the authors used clinical and demographic data (from April 1, 2009, through March 31, 2010) from electronic dental records of 4,732 adults with intellectual and developmental disabilities (IDDs) who were receiving dental care through a state-supported system of dental clinics. The authors used these data to investigate the oral health status of, and associated risk factors for, adults with IDD. Results The prevalence of untreated caries in the study population was 32.2 percent, of periodontitis was 80.3 percent and of edentulism was 10.9 percent. The mean (standard deviation) numbers of decayed teeth; missing teeth; and decayed, missing and filled teeth were 1.0 (2.2), 6.7 (7.0) and 13.9 (7.7), respectively. Conclusions Management of oral health presents significant challenges in adults with IDD. Age, ability to cooperate with dental treatment and type of residence are important considerations in identifying preventive strategies. Clinical Implications The study population demonstrated a high burden of dental disease. Further research is required to identify effective interventions to improve oral health in adults with IDD. PMID:22855898

Scalable Production of Biosensors Based on Aptamer-Functionalized Graphene for Detection of the HIV drug Tenofovir

NASA Astrophysics Data System (ADS)

Vishnubhotla, Ramya; Ping, Jinglei; Johnson, A. T. Charlie; Charlie Johnson Group Team

Graphene field effect transistors (GFETs) are of great interest for biosensing applications, and have shown promising results for small molecular detection due to high sensitivity and electron mobility. We describe the fabrication of a scalable array of GFETs through traditional photolithography using lab-grown graphene via chemical vapor deposition (CVD) for drug detection with an all-electronic read-out. Sensor fabrication produced 52 devices per 2 x 2 cm area, with a yield of over 90%. Our biosensors use a commercially-obtained aptamer, verified to bind to graphene via AFM, to bind to the molecules of the drug Tenofovir, a medication currently used for HIV treatment, and have proven to detect concentrations at 1 ng/mL, 10^3 times lower than standard medical methods. We noted a concentration-dependent shift in the Dirac voltage for Tenofovir, and testing control drugs showed that the aptamer was only highly selective in binding to Tenofovir itself. These results are promising for potential clinical testing with urine samples, as our method is scalable and non-invasive. This work is funded by NIH through the Center for AIDS Research at the University of Pennsylvania. Center for AIDS Research at the University of Pennsylvania.

Direct electrochemistry of glucose oxidase and biosensing for glucose based on carbon nanotubes@SnO(2)-Au composite.

PubMed

Li, Fenghua; Song, Jixia; Li, Fei; Wang, Xiaodan; Zhang, Qixian; Han, Dongxue; Ivaska, Ari; Niu, Li

2009-12-15

Multiwalled carbon nanotubes@SnO(2)-Au (MWCNTs@SnO(2)-Au) composite was synthesized by a chemical route. The structure and composition of the MWCNTs@SnO(2)-Au composite were confirmed by means of transmission electron microscopy, X-ray photoelectron and Raman spectroscopy. Due to the good electrocatalytic property of MWCNTs@SnO(2)-Au composite, a glucose biosensor was constructed by absorbing glucose oxidase (GOD) on the hybrid material. A direct electron transfer process is observed at the MWCNTs@SnO(2)-Au/GOD-modified glassy carbon electrode. The glucose biosensor has a linear range from 4.0 to 24.0mM, which is suitable for glucose determination by real samples. It should be worthwhile noting that, from 4.0 to 12.0mM, the cathodic peak currents of the biosensor decrease linearly with increasing the glucose concentrations in human blood. Meanwhile, the resulting biosensor can also prevent the effects of interfering species. Moreover, the biosensor exhibits satisfying reproducibility, good operational stability and storage stability. Therefore, the MWCNTs@SnO(2)-Au/GOD biocomposite could be promisingly applied to determine blood sugar concentration in the practical clinical analysis.

Enhancing Risk Assessment in Patients Receiving Chronic Opioid Analgesic Therapy Using Natural Language Processing.

PubMed

Haller, Irina V; Renier, Colleen M; Juusola, Mitch; Hitz, Paul; Steffen, William; Asmus, Michael J; Craig, Terri; Mardekian, Jack; Masters, Elizabeth T; Elliott, Thomas E

2017-10-01

Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to initiating opioid therapy. Despite recent dramatic increases in prescription opioid misuse and abuse, use of screening tools by clinicians continues to be underutilized. This research evaluated natural language processing (NLP) together with other data extraction techniques for risk assessment of patients considered for opioid therapy as a means of predicting opioid abuse. Using a retrospective cohort of 3,668 chronic noncancer pain patients with at least one opioid agreement between January 1, 2007, and December 31, 2012, we examined the availability of electronic health record structured and unstructured data to populate the Opioid Risk Tool (ORT) and other selected outcomes. Clinician-documented opioid agreement violations in the clinical notes were determined using NLP techniques followed by manual review of the notes. Confirmed through manual review, the NLP algorithm had 96.1% sensitivity, 92.8% specificity, and 92.6% positive predictive value in identifying opioid agreement violation. At the time of most recent opioid agreement, automated ORT identified 42.8% of patients as at low risk, 28.2% as at moderate risk, and 29.0% as at high risk for opioid abuse. During a year following the agreement, 22.5% of patients had opioid agreement violations. Patients classified as high risk were three times more likely to violate opioid agreements compared with those with low/moderate risk. Our findings suggest that NLP techniques have potential utility to support clinicians in screening chronic noncancer pain patients considered for long-term opioid therapy. © 2016 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Audit of Endotracheal Tube Suction in a Pediatric Intensive Care Unit.

PubMed

Davies, Kylie; Bulsara, Max K; Ramelet, Anne-Sylvie; Monterosso, Leanne

2017-02-01

We report outcomes of a clinical audit examining criteria used in clinical practice to rationalize endotracheal tube (ETT) suction, and the extent these matched criteria in the Endotracheal Suction Assessment Tool(ESAT)©. A retrospective audit of patient notes ( N = 292) and analyses of criteria documented by pediatric intensive care nurses to rationalize ETT suction were undertaken. The median number of documented respiratory and ventilation status criteria per ETT suction event that matched the ESAT© criteria was 2 [Interquartile Range (IQR) 1-6]. All criteria listed within the ESAT© were documented within the reviewed notes. A direct link was established between criteria used for current clinical practice of ETT suction and the ESAT©. The ESAT©, therefore, reflects documented clinical decision making and could be used as both a clinical and educational guide for inexperienced pediatric critical care nurses. Modification to the ESAT © requires "preparation for extubation" to be added.

Computing the Effects of Strain on Electronic States: A Survey of Methods and Issues

DTIC Science & Technology

2012-12-01

DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution is unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT We present a...lays the foundations for first-principles approaches, including discussion of spin-orbit coupling. Section 3 presents an overview of empirical...addition and removal energies of the independent-electron approximation. For simplicity, the energy levels in the figure have been presented as if they

Dezhurov works with electronic equipment in Zvezda during Expedition Three

NASA Image and Video Library

2001-08-01

ISS003-E-5486 (August 2001) --- Cosmonaut Vladimir Dezhurov of Rosaviakosmos, Expedition Three flight engineer, works on electronic equipment behind a panel in the Zvezda Service Module. Please note: The date identifiers on some frames are not accurate due to a technical problem with one of the Expedition Three cameras. When a specific date is given in the text or description portion, it is correct.

Dezhurov works with electronic equipment in Zvezda during Expedition Three

NASA Image and Video Library

2001-08-01

ISS003-E-5489 (August 2001) --- Cosmonaut Vladimir Dezhurov of Rosaviakosmos, Expedition Three flight engineer, works on electronic equipment behind a panel in the Zvezda Service Module. Please note: The date identifiers on some frames are not accurate due to a technical problem with one of the Expedition Three cameras. When a specific date is given in the text or description portion, it is correct.

Experimental characterization of hollow-cathode plasma sources at Frascati

NASA Technical Reports Server (NTRS)

Vannaroni, G.; Cosmovici, C. B.; Bonifazi, C.; Mccoy, J.

1988-01-01

An experimental characterization has been conducted for hollow cathodes applicable as plasma contactors on Space Shuttle-based experiments. The diagnostics tests were conducted in an 0.5 cu m vacuum chamber by means of Langmuir probes at various distances from the source. Two electron populations are noted, one in the 0.3-1 eV and the other in the 7-11 eV temperature range. Current developments in the design of plasma chambers incorporating magnetic field compensation are noted.

New trends in minimally invasive urological surgery: what is beyond the robot?

PubMed

Micali, Salvatore; Pini, Giovannalberto; Teber, Dogu; Sighinolfi, Maria Chiara; De Stefani, Stefano; Bianchi, Giampaolo; Rassweiler, Jens

2013-06-01

To review the minimal-invasive development of surgical technique in urology focusing on nomenclature, history and outcomes of Laparo-Endoscopic Single-site Surgery (LESS), Natural Orifice Translumenal Endoscopic Surgery (NOTES) and Computer-Assisted Surgery (CAS). A comprehensive literature search was conducted in order to find article related to LESS, NOTES and CAS in urology. The most relevant papers over the last 10 years were selected in base to the experience from the panel of experts, journal, authorship and/or content. Seven hundred and fifty manuscripts were found. Papers on LESS describe feasibility/safety in most of the procedures with a clinical experience of more than 300 cases and five compared results to standard laparoscopy without showing significant differences. NOTES accesses have been proved their feasibility/safety in experimental study. In human, the only procedures performed are on kidney and through a hybrid-Transvaginal route. New robots overcome the main drawbacks of the DaVinci® platform. The use of CAS is increasing its popularity in urology. LESS has been applied in clinical practice, but only ongoing technical and instrumental refinement will define its future role and overall benefit. The transition to a clinical application of NOTES seems at present only possible with multiple NOTES access and transvaginal access. Robot and Soft Tissue Navigation appear to be important to improve surgical skills. We are already witness to the advantages offered by the former even if costs need to be redefined based on pending long-term results. The latter will probably upgrade the quality of surgery in a near future.

To a Deeper Understanding of Loneliness amongst Older Irish Adults.

PubMed

Squires, Susan Elaine

2015-06-01

Loneliness can play a significant role in the wellbeing of older adults. This article describes a qualitative method for using case notes from the clinical records of older individuals in order to investigate the priority concerns spontaneously reported by older adults to deepen our understanding of both the context in which reported loneliness occurs in Ireland and the potential triggers. The participants in this study represent a cross-section of older adults who participated in the Technology Research for Independent Living Clinic (TRIL). Data were collected from participants through interviewer case notes at the TRIL centre in St James's hospital, Dublin. 624 participants (431 females; 193 males) ranging in age from 60-92 years (Mean 73 years, SD 7 years) took part in the study. All were community dwelling and provided consent. A thematic analysis from grounded theory was used to evaluate the case notes for each participant. Preliminary results highlight the richness of phenomenological experience to enhance our understanding of loneliness and provide an opportunity to better understand the precursors and variability that loneliness may take. In this study we found themes in the case note analysis linking social loneliness with self-imposed limitations on social engagement due to declining health while predominate themes for emotionally lonely focused on psychological issues of stress and anxiety associated with adverse life events. The results suggest the importance of case notes to inform clinical practice. Qualitative results provided insights into differing live events of older Irish adults, which help distinguish the causal differences between social and emotional loneliness.

IEEE Nuclear and Space Radiation Effects Conference: Notes on the Early Conferences

NASA Technical Reports Server (NTRS)

Pellish, Jonathan A.; Galloway, Kenneth F.

2013-01-01

This paper gathers the remembrances of several key contributors who participated in the earliest Institute of Electrical and Electronics Engineers (IEEE) Nuclear and Space Radiation Effects Conferences (NSREC).

Physics Notes

ERIC Educational Resources Information Center

School Science Review, 1977

1977-01-01

Includes methods for demonstrating Schlieren effect, measuring refractive index, measuring acceleration, presenting concepts of optics, automatically recording weather, constructing apparaturs for sound experiments, using thermistor thermometers, using the 741 operational amplifier in analog computing, measuring inductance, electronically ringing…

Fluxacademy: From Intermedia to Interactive Education.

ERIC Educational Resources Information Center

Saper, Craig

1992-01-01

Advocates a Fluxus-based experimental pedagogy which is suited for scholarship confronted with film and electronic media. Notes that the theory explored in Fluxacademy focuses specifically on the use of intermedia for interactive education. (RS)

Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems.

PubMed

Szlosek, Donald A; Ferrett, Jonathan

2016-01-01

As the number of clinical decision support systems (CDSSs) incorporated into electronic medical records (EMRs) increases, so does the need to evaluate their effectiveness. The use of medical record review and similar manual methods for evaluating decision rules is laborious and inefficient. The authors use machine learning and Natural Language Processing (NLP) algorithms to accurately evaluate a clinical decision support rule through an EMR system, and they compare it against manual evaluation. Modeled after the EMR system EPIC at Maine Medical Center, we developed a dummy data set containing physician notes in free text for 3,621 artificial patients records undergoing a head computed tomography (CT) scan for mild traumatic brain injury after the incorporation of an electronic best practice approach. We validated the accuracy of the Best Practice Advisories (BPA) using three machine learning algorithms-C-Support Vector Classification (SVC), Decision Tree Classifier (DecisionTreeClassifier), k-nearest neighbors classifier (KNeighborsClassifier)-by comparing their accuracy for adjudicating the occurrence of a mild traumatic brain injury against manual review. We then used the best of the three algorithms to evaluate the effectiveness of the BPA, and we compared the algorithm's evaluation of the BPA to that of manual review. The electronic best practice approach was found to have a sensitivity of 98.8 percent (96.83-100.0), specificity of 10.3 percent, PPV = 7.3 percent, and NPV = 99.2 percent when reviewed manually by abstractors. Though all the machine learning algorithms were observed to have a high level of prediction, the SVC displayed the highest with a sensitivity 93.33 percent (92.49-98.84), specificity of 97.62 percent (96.53-98.38), PPV = 50.00, NPV = 99.83. The SVC algorithm was observed to have a sensitivity of 97.9 percent (94.7-99.86), specificity 10.30 percent, PPV 7.25 percent, and NPV 99.2 percent for evaluating the best practice approach, after accounting for 17 cases (0.66 percent) where the patient records had to be reviewed manually due to the NPL systems inability to capture the proper diagnosis. CDSSs incorporated into EMRs can be evaluated in an automatic fashion by using NLP and machine learning techniques.

Familial Adenomatous Polyposis

MedlinePlus

... these screening recommendations at the Journal of Clinical Oncology . Please note this link takes you to another ... and caregivers, from the American Society of Clinical Oncology (ASCO), the voice of the world’s cancer physicians ...

Primary care physicians’ experiences with electronic medical records

PubMed Central

Ludwick, Dave; Manca, Donna; Doucette, John

2010-01-01

OBJECTIVE To understand how remuneration and care setting affect the implementation of electronic medical records (EMRs). DESIGN Semistructured interviews were used to illicit descriptions from community-based family physicians (paid on a fee-for-service basis) and from urban, hospital, and academic family physicians (remunerated via alternative payment models or sessional pay for activities pertaining to EMR implementation). SETTING Small suburban community and large urban-, hospital-, and academic-based family medicine clinics in Alberta. All participants were supported by a jurisdictional EMR certification funding mechanism. PARTICIPANTS Physicians who practised in 1 or a combination of the above settings and had experience implementing and using EMRs. METHODS Purposive and maximum variation sampling was used to obtain descriptive data from key informants through individually conducted semistructured interviews. The interview guide, which was developed from key findings of our previous literature review, was used in a previous study of community-based family physicians on this same topic. Field notes were analyzed to generate themes through a comparative immersion approach. MAIN FINDINGS Physicians in urban, hospital, and academic settings leverage professional working relationships to investigate EMRs, a resource not available to community physicians. Physicians in urban, hospital, and academic settings work in larger interdisciplinary teams with a greater need for interdisciplinary care coordination, EMR training, and technical support. These practices were able to support the cost of project management or technical support resources. These physicians followed a planned system rollout approach compared with community physicians who installed their systems quickly and required users to transition to the new system immediately. Electronic medical records did not increase, or decrease, patient throughput. Physicians developed ways of including patients in the note-taking process. CONCLUSION We studied physicians’ procurement approaches under various payment models. Our findings do not suggest that one remuneration approach supports EMR adoption any more than another. Rather, this study suggests that stronger physician professional networks used in information gathering, more complete training, and in-house technical support might be more influential than remuneration in facilitating the EMR adoption experience. PMID:20090083

Blood pressure measurement reliability among different racial-ethnic groups in a stroke prevention study.

PubMed

Estol, Conrado J; Bath, Philip M W; Gorelick, Philip B; Cotton, Daniel; Martin, Renee H; Weber, Michael A; Dahlof, Bjorn

2014-10-01

High blood pressure (BP) is commonly not diagnosed, and patients do not achieve target values when treated. Among 20,000 patients encompassing most races-ethnicities, we evaluated BP measurements and treatment response in a stroke prevention trial. Our goal was to identify BP measurement differences between clinical trial and patient determinations and among the racial-ethnic groups. A total of 20,332 patients with ischemic stroke were randomized to receive antiplatelet treatment and 80 mg of telmisartan versus placebo. BP measurements were obtained at the first clinic visit and then 1 and 3 months later and every 6 months thereafter. One week after the first clinic visit, patients were requested to report a BP measurement obtained elsewhere. Measurements at the trial clinics were obtained with the same electronic device. Statistical analysis was used to detect significant differences. The mean patient age was 66 years; 36% were women, and race-ethnicity comprised 58% Whites, 33% Asian, 4.9% Hispanic, and 4% Black. Overall, 74% of patients were hypertensive. BP varied between the race-ethnicity groups, being highest in Hispanics (145/85) and lowest in Blacks (144/82). BP at visits clinic 1, nonclinic 1A, and clinic 2 were, respectively, 144/84, 137/80, and 139/81 mmHg, with the difference between visits 1-2 and visit 1A being significant. BPs were normal in 42% of the cases at visit 1A, and of these, only 44% were normal at visit 1 and 57.6% were normal on visit 2. Similar findings were noted for all race-ethnicity groups. BP values varied among race-ethnicities and showed differences between clinic and patient measurements. This finding questions the reliability of self-reported BP and has implications for BP management in daily clinical practice.

De-identification of patient notes with recurrent neural networks.

PubMed

Dernoncourt, Franck; Lee, Ji Young; Uzuner, Ozlem; Szolovits, Peter

2017-05-01

Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information that needs to be removed to de-identify patient notes. Manual de-identification is impractical given the size of electronic health record databases, the limited number of researchers with access to non-de-identified notes, and the frequent mistakes of human annotators. A reliable automated de-identification system would consequently be of high value. We introduce the first de-identification system based on artificial neural networks (ANNs), which requires no handcrafted features or rules, unlike existing systems. We compare the performance of the system with state-of-the-art systems on two datasets: the i2b2 2014 de-identification challenge dataset, which is the largest publicly available de-identification dataset, and the MIMIC de-identification dataset, which we assembled and is twice as large as the i2b2 2014 dataset. Our ANN model outperforms the state-of-the-art systems. It yields an F1-score of 97.85 on the i2b2 2014 dataset, with a recall of 97.38 and a precision of 98.32, and an F1-score of 99.23 on the MIMIC de-identification dataset, with a recall of 99.25 and a precision of 99.21. Our findings support the use of ANNs for de-identification of patient notes, as they show better performance than previously published systems while requiring no manual feature engineering. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Free-Free Transitions of e-H System Inside a Dense Plasma Irradiated by a Laser Field at Very Low Incident Electron Energies

NASA Technical Reports Server (NTRS)

Bhatia, A. K.; Sinha, C.

2012-01-01

The free-free transition is studied for an electron-hydrogen in the ground state at low incident energies in the presence of an external homogenous, monochromatic, and linearly polarized laser-field inside a hot dense plasma.The effect of plasma screening is considered in the Debye-Huckel approximation. The calculations are performed in the soft photon limit, assuming that the plasma frequency is much higher than the laser frequency. The incident electron is considered to be dressed by the laser field in a nonperturbative manner by choosing the Volkov solutions in both the initial and final channels. The space part of the scattering wave function for the electron is solved numerically by taking into account the electron exchange. The laser-assisted differential and total cross sections are calculated for single-photon absorption /emission and no photon exchange in the soft photon limit, the laser intensity being much less than the atomic field intensity. The calculations have been carried out for various values of Debye parameter, ranging from 0.005 to 0.12. A strong suppression is noted in the laser-assisted cross sections as compared to the field-free situation. A significant difference is noted for the singlet and triplet cross sections. The suppression is much more in the triplet states.

Visualization of Neutrophil Extracellular Traps and Fibrin Meshwork in Human Fibrinopurulent Inflammatory Lesions: III. Correlative Light and Electron Microscopic Study

PubMed Central

Onouchi, Takanori; Shiogama, Kazuya; Mizutani, Yasuyoshi; Takaki, Takashi; Tsutsumi, Yutaka

2016-01-01

Neutrophil extracellular traps (NETs) released from dead neutrophils at the site of inflammation represent webs of neutrophilic DNA stretches dotted with granule-derived antimicrobial proteins, including lactoferrin, and play important roles in innate immunity against microbial infection. We have shown the coexistence of NETs and fibrin meshwork in varied fibrinopurulent inflammatory lesions at both light and electron microscopic levels. In the present study, correlative light and electron microscopy (CLEM) employing confocal laser scanning microscopy and scanning electron microscopy was performed to bridge light and electron microscopic images of NETs and fibrin fibrils in formalin-fixed, paraffin-embedded, autopsied lung sections of legionnaire’s pneumonia. Lactoferrin immunoreactivity and 4'-6-diamidino-2-phenylindole (DAPI) reactivity were used as markers of NETs, and fibrin was probed by fibrinogen gamma chain. Of note is that NETs light microscopically represented as lactoferrin and DAPI-colocalized dots, 2.5 μm in diameter. CLEM gave super-resolution images of NETs and fibrin fibrils: “Dotted” NETs were ultrastructurally composed of fine filaments and masses of 58 nm-sized globular materials. A fibrin fibril consisted of clusters of smooth-surfaced filaments. NETs filaments (26 nm in diameter) were significantly thinner than fibrin filaments (295 nm in diameter). Of note is that CLEM was applicable to formalin-fixed, paraffin-embedded sections of autopsy material. PMID:27917008

Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.

PubMed

Connolly, Brian; Matykiewicz, Pawel; Bretonnel Cohen, K; Standridge, Shannon M; Glauser, Tracy A; Dlugos, Dennis J; Koh, Susan; Tham, Eric; Pestian, John

2014-01-01

The constant progress in computational linguistic methods provides amazing opportunities for discovering information in clinical text and enables the clinical scientist to explore novel approaches to care. However, these new approaches need evaluation. We describe an automated system to compare descriptions of epilepsy patients at three different organizations: Cincinnati Children's Hospital, the Children's Hospital Colorado, and the Children's Hospital of Philadelphia. To our knowledge, there have been no similar previous studies. In this work, a support vector machine (SVM)-based natural language processing (NLP) algorithm is trained to classify epilepsy progress notes as belonging to a patient with a specific type of epilepsy from a particular hospital. The same SVM is then used to classify notes from another hospital. Our null hypothesis is that an NLP algorithm cannot be trained using epilepsy-specific notes from one hospital and subsequently used to classify notes from another hospital better than a random baseline classifier. The hypothesis is tested using epilepsy progress notes from the three hospitals. We are able to reject the null hypothesis at the 95% level. It is also found that classification was improved by including notes from a second hospital in the SVM training sample. With a reasonably uniform epilepsy vocabulary and an NLP-based algorithm able to use this uniformity to classify epilepsy progress notes across different hospitals, we can pursue automated comparisons of patient conditions, treatments, and diagnoses across different healthcare settings. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Hidden care: Revelations of a case-note audit of physical health care in a community mental health service.

PubMed

Lawn, Sharon; Zabeen, Sara; Rowlands, Nikki; Picot, Sharon

2018-05-24

People with severe mental illness (SMI) are widely reported to be at an increased risk of morbidity and premature death due to physical health conditions. Mental health nurses are ideally placed to address physical and mental health comorbidity as part of their day-to-day practice. This study involved an audit of hardcopy and electronic clinical case-notes of a random sample of 100 people with SMI case managed by community mental health service in metropolitan South Australia, to determine how well physical health conditions and risk factors, screening, and follow-up are recorded within their service records. Every contact between 1 July 2015 and 30 June 2016 was read. One-way ANOVA, Scheffe's test, and Fisher's exact test determined any significant associations across audit variables, which included gender, age, income, living arrangement, diagnosis, lifestyle factors, recording of physical health measures, and carer status. A focus on physical health care was evident from everyday case-note records; however, because this information was 'buried' within the plethora of entries and not brought to the fore with other key information about the person's psychiatric needs, it remained difficult to gain a full picture of potential gaps in physical health care for this population. Under-reporting, gaps and inconsistencies in the systematic recording of physical health information for this population are likely to undermine the quality of care they receive from mental health services, the ability of mental health service providers to respond in a timely way to their physical healthcare needs, and their communication with other healthcare providers. © 2018 Australian College of Mental Health Nurses Inc.

Cryoablation of Osteoid Osteoma in the Pediatric and Adolescent Population.

PubMed

Whitmore, Morgan J; Hawkins, C Matthew; Prologo, J David; Marshall, Kelley W; Fabregas, Jorge A; Yim, Douglas B; Monson, David; Oskouei, Shervin V; Fletcher, Nicholas D; Williams, Roger S

2016-02-01

To evaluate the technical feasibility and clinical efficacy of osteoid osteoma (OO) cryoablation in a large, pediatric/adolescent cohort. An electronic medical record and imaging archive review was performed to identify all cryoablations performed for OOs between 2011 and 2015 at a single tertiary care pediatric hospital. The subsequent analysis included 29 patients with suspected OOs treated by cryoablation (age range, 3-18 y; mean age, 11.3 y; 17 boys; 12 girls). Conventional CT guidance was used in 22 procedures; cone-beam CT guidance was used in 7 procedures. Follow-up data were obtained via a standardized telephone questionnaire (23/29 patients; 79.3%) and clinical notes (5/29 patients; 17.2%). One patient was lost to follow-up. Technical success was achieved in 100% of patients (29/29). Immediate clinical success (cessation of pain and nonsteroidal antiinflammatory drug [NSAID] use within 1 mo after the procedure) was achieved in 27/28 patients (96.4%). Short-term clinical success (cessation of pain and NSAID use for > 3 mo after the procedure) was achieved in 24/25 patients (96%). Long-term clinical success (cessation of pain and NSAID use for > 12 mo after the procedure) was achieved in 19/21 patients (90.5%). Median pain scale score before the procedure was 10 (range, 5-10); median pain scale score after the procedure was 0 (range, 0-8; P < .0001). There were 6 minor complications (21%) and no major complications. Image-guided cryoablation is a technically feasible, clinically efficacious therapeutic option for children and adolescents with symptomatic OO. Copyright © 2016 SIR. Published by Elsevier Inc. All rights reserved.

Nonmydriatic fundus photography for teleophthalmology diabetic retinopathy screening in rural and urban clinics.

PubMed

Chin, Eric K; Ventura, Bruna V; See, Kai-Yin; Seibles, Joann; Park, Susanna S

2014-02-01

To evaluate the relative diagnostic value of nonmydriatic fundus photography (nFP) among patients screened for diabetic retinopathy in remote rural medical clinics and an urban academic medical center for nonadherence to recommended annual dilated eye examination. A retrospective cross-sectional study was performed among diabetic patients seen in primary outpatient clinics between 2006 and 2011 who were screened for diabetic retinopathy with nFP for history of nonadherence to recommended annual dilated eye examination. A single nonstereoscopic, 45°, 10-megapixel digital image of the disc and macula of both eyes was obtained locally and transmitted electronically to a retinal specialist for remote review. The results from remote rural Native American Indian reservations were compared with those from an urban academic family practice clinic. The proportion of subjects diagnosed with diabetic retinopathy and the quality of fundus images were compared. Among 872 patients (1,744 eyes) screened from rural sites and 517 subjects (1,034 eyes) screened from an urban site, images were of good quality for evaluation in 82.4% and 85.7% of subjects, respectively. Diabetic retinopathy was noted in 12.6% of rural subjects and 29.6% of urban subjects (p<0.001). nFP can be a useful tool in both rural and urban settings to screen for diabetic retinopathy in patients who are nonadherent to the recommended dilated annual eye exam. In our study population, a surprisingly higher percentage of diabetic subjects screened from the urban clinic had retinopathy compared with subjects screened in rural clinics.

The nursing students' attitude toward using blogs in a nursing clinical practicum in Taiwan: a 3-R framework.

PubMed

Lin, Kai-Yin; Shen, Yen-Fen

2013-09-01

Some nursing educators have been using blogs as a channel to reflect on, share, and discuss questions and ideas for educational purpose. There were not many studies focused on the application of blog technology to the professional development of nursing education in Taiwan. The major goal of this study was to use a blog platform for students, writing their reflection notes, and observing the feedbacks from peers during their clinical practicum. Then we tried to probe the nursing students' attitude toward adopting 3-R categories based blog, which included wRiting reflection notes, Reading peers' notes, and Receiving peers' feedback. Of the 179 fourth grade from one five-year technical college students enrolled in a clinical practice course in Taiwan were used as a pool of sampling. Four-eight students were invited by the researcher to take part in this project. 90% of the participants agreed that blogs provided them with opportunities to share personal experiences with others. 81% of them valued that blogs provided opportunities to offering encouragement and emotional support to their peers. A majority of the participants believed that reading peers' journals was helpful in enhancing their professional development. In addition, all of them agreed that reading peers' journals can help them understand their peer's viewpoints. Most of the participants agreed that they were benefited through receiving feedbacks on the blogs. About 98% of them agreed that feedbacks can promote interaction with peers. The findings of this study generally indicated the participants' positive attitude toward using blogs in their clinical practicum. A majority of the participants also claimed that blogs provided them the opportunities to share personal experiences with their peers as well as to see things from their peers' viewpoints. They believed that reading peers' notes was helpful in enhancing their professional development. In addition, most of them agreed that receiving feedbacks could promote in-depth reflections; therefore, they were encouraged to write more reflective notes. Thus, future clinical practicum design should exert efforts to foster students' collaboration, reflections, and dialogues by providing blog platform. Copyright © 2012 Elsevier Ltd. All rights reserved.

Note: Measurement of the runaway electrons in the J-TEXT tokamak

NASA Astrophysics Data System (ADS)

Chen, Z. Y.; Zhang, Y.; Zhang, X. Q.; Luo, Y. H.; Jin, W.; Li, J. C.; Chen, Z. P.; Wang, Z. J.; Yang, Z. J.; Zhuang, G.

2012-05-01

The runaway electrons have been measured by hard x-ray detectors and soft x-ray array in the J-TEXT tokamak. The hard x-ray radiations in the energy ranges of 0.5-5 MeV are measured by two NaI detectors. The flux of lost runaway electrons can be obtained routinely. The soft x-ray array diagnostics are used to monitor the runaway beam generated in disruptions since the soft x-ray is dominated by the interaction between runaway electrons and metallic impurities inside the plasma. With the aid of soft x-ray array, runaway electron beam has been detected directly during the formation of runaway current plateau following the disruptions.

The NASA Electronic Parts and Packaging (NEPP) Program: Insertion of New Electronics Technologies

NASA Technical Reports Server (NTRS)

LaBel, Kenneth A.; Sampson, Michael J.

2007-01-01

This viewgraph presentation gives an overview of NASA Electronic Parts and Packaging (NEPP) Program's new electronics technology trends. The topics include: 1) The Changing World of Radiation Testing of Memories; 2) Even Application-Specific Tests are Costly!; 3) Hypothetical New Technology Part Qualification Cost; 4) Where we are; 5) Approaching FPGAs as a More Than a "Part" for Reliability; 6) FPGAs Beget Novel Radiation Test Setups; 7) Understanding the Complex Radiation Data; 8) Tracking Packaging Complexity and Reliability for FPGAs; 9) Devices Supporting the FPGA Need to be Considered; 10) Summary of the New Electronic Technologies and Insertion into Flight Programs Workshop; and 11) Highlights of Panel Notes and Comments

Note: Electron energy spectroscopy mapping of surface with scanning tunneling microscope.

PubMed

Li, Meng; Xu, Chunkai; Zhang, Panke; Li, Zhean; Chen, Xiangjun

2016-08-01

We report a novel scanning probe electron energy spectrometer (SPEES) which combines a double toroidal analyzer with a scanning tunneling microscope to achieve both topography imaging and electron energy spectroscopy mapping of surface in situ. The spatial resolution of spectroscopy mapping is determined to be better than 0.7 ± 0.2 μm at a tip sample distance of 7 μm. Meanwhile, the size of the field emission electron beam spot on the surface is also measured, and is about 3.6 ± 0.8 μm in diameter. This unambiguously demonstrates that the spatial resolution of SPEES technique can be much better than the size of the incident electron beam.

Quantification of Wine Mixtures with an Electronic Nose and a Human Panel.

PubMed

Aleixandre, Manuel; Cabellos, Juan M; Arroyo, Teresa; Horrillo, M C

2018-01-01

In this work, an electronic nose and a human panel were used for the quantification of wines formed by binary mixtures of four white grape varieties and two varieties of red wines at different percentages (from 0 to 100% in 10% steps for the electronic nose and from 0 to 100% in 25% steps for the human panel). The wines were prepared using the traditional method with commercial yeasts. Both techniques were able to quantify the mixtures tested, but it is important to note that the technology of the electronic nose is faster, simpler, and more objective than the human panel. In addition, better results of quantification were also obtained using the electronic nose.

First-principles study of the effect of functional groups on polyaniline backbone

PubMed Central

Chen, X. P.; Jiang, J. K.; Liang, Q. H.; Yang, N.; Ye, H. Y.; Cai, M.; Shen, L.; Yang, D. G.; Ren, T. L.

2015-01-01

We present a first-principles density functional theory study focused on how the chemical and electronic properties of polyaniline are adjusted by introducing suitable substituents on a polymer backbone. Analyses of the obtained energy barriers, reaction energies and minimum energy paths indicate that the chemical reactivity of the polyaniline derivatives is significantly enhanced by protonic acid doping of the substituted materials. Further study of the density of states at the Fermi level, band gap, HOMO and LUMO shows that both the unprotonated and protonated states of these polyanilines are altered to different degrees depending on the functional group. We also note that changes in both the chemical and electronic properties are very sensitive to the polarity and size of the functional group. It is worth noting that these changes do not substantially alter the inherent chemical and electronic properties of polyaniline. Our results demonstrate that introducing different functional groups on a polymer backbone is an effective approach to obtain tailored conductive polymers with desirable properties while retaining their intrinsic properties, such as conductivity. PMID:26584671

Manifest Content in the Dreams of Clinical Populations.

ERIC Educational Resources Information Center

Mellen, Ronald R.; And Others

1993-01-01

Reviews relevant literature to examine relationships between dream content and diagnosis of clinical populations. Although many clinical populations remain unexamined in terms of meaningful characterizations of their dream life, relationship between manifest content and differential diagnosis is noted and generalizations are offered for different…

Clinical Pharmacokinetic Service and Research--Present Status and Future Goals at SUNY-Buffalo

ERIC Educational Resources Information Center

Koup, Jeffrey R.

1976-01-01

Two Clinical Pharmacokinetics Laboratories at Buffalo are described: one at the Millard Fillmore Hospital and the other at the Buffalo Children's Hospital. Their research efforts are reviewed and their scientific contributions to clinical therapeutics and pharmaceutical research are noted. (LBH)

Effect of repeated simulated clinical use and sterilization on the cutting efficiency and flexibility of Hyflex CM nickel-titanium rotary files.

PubMed

Seago, Scott T; Bergeron, Brian E; Kirkpatrick, Timothy C; Roberts, Mark D; Roberts, Howard W; Himel, Van T; Sabey, Kent A

2015-05-01

Recent nickel-titanium manufacturing processes have resulted in an alloy that remains in a twinned martensitic phase at operating temperature. This alloy has been shown to have increased flexibility with added tolerance to cyclic and torsional fatigue. The aim of this study was to assess the effect of repeated simulated clinical use and sterilization on cutting efficiency and flexibility of Hyflex CM rotary files. Cutting efficiency was determined by measuring the load required to maintain a constant feed rate while instrumenting simulated canals. Flexibility was determined by using a 3-point bending test. Files were autoclaved after each use according to the manufacturer's recommendations. Files were tested through 10 simulated clinical uses. For cutting efficiency, mean data were analyzed by using multiple factor analysis of variance and the Dunnett post hoc test (P < .05). For flexibility, mean data were analyzed by using Levene's Test of Equality of Error and a general linear model (P < .05). No statistically significant decrease in cutting efficiency was noted in groups 2, 5, 6, and 7. A statistically significant decrease in cutting efficiency was noted in groups 3, 4, 8, 9, and 10. No statistically significant decrease in flexibility was noted in groups 2, 3, and 7. A statistically significant decrease in flexibility was noted in groups 4, 5, 6, 8, 9, 10, and 11. Repeated simulated clinical use and sterilization showed no effect on cutting efficiency through 1 use and no effect on flexibility through 2 uses. Published by Elsevier Inc.

Using Videoconferencing for Teacher Professional Development and Ensemble Clinics

ERIC Educational Resources Information Center

Burrack, Frederick

2012-01-01

Videoconferencing technology can create opportunities to offer music teachers specific feedback that is crucial to satisfying their developmental needs by providing direct impact on instruction through online ensemble clinics. (Contains 3 notes.)

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes

PubMed Central

Ganesan, Kavita; Lloyd, Shane; Sarkar, Vikren

2016-01-01

The ability to find highly related clinical concepts is essential for many applications such as for hypothesis generation, query expansion for medical literature search, search results filtering, ICD-10 code filtering and many other applications. While manually constructed medical terminologies such as SNOMED CT can surface certain related concepts, these terminologies are inadequate as they depend on expertise of several subject matter experts making the terminology curation process open to geographic and language bias. In addition, these terminologies also provide no quantifiable evidence on how related the concepts are. In this work, we explore an unsupervised graphical approach to mine related concepts by leveraging the volume within large amounts of clinical notes. Our evaluation shows that we are able to use a data driven approach to discovering highly related concepts for various search terms including medications, symptoms and diseases. PMID:27656096

The IDEA Assessment Tool: Assessing the Reporting, Diagnostic Reasoning, and Decision-Making Skills Demonstrated in Medical Students' Hospital Admission Notes.

PubMed

Baker, Elizabeth A; Ledford, Cynthia H; Fogg, Louis; Way, David P; Park, Yoon Soo

2015-01-01

Construct: Clinical skills are used in the care of patients, including reporting, diagnostic reasoning, and decision-making skills. Written comprehensive new patient admission notes (H&Ps) are a ubiquitous part of student education but are underutilized in the assessment of clinical skills. The interpretive summary, differential diagnosis, explanation of reasoning, and alternatives (IDEA) assessment tool was developed to assess students' clinical skills using written comprehensive new patient admission notes. The validity evidence for assessment of clinical skills using clinical documentation following authentic patient encounters has not been well documented. Diagnostic justification tools and postencounter notes are described in the literature (1,2) but are based on standardized patient encounters. To our knowledge, the IDEA assessment tool is the first published tool that uses medical students' H&Ps to rate students' clinical skills. The IDEA assessment tool is a 15-item instrument that asks evaluators to rate students' reporting, diagnostic reasoning, and decision-making skills based on medical students' new patient admission notes. This study presents validity evidence in support of the IDEA assessment tool using Messick's unified framework, including content (theoretical framework), response process (interrater reliability), internal structure (factor analysis and internal-consistency reliability), and relationship to other variables. Validity evidence is based on results from four studies conducted between 2010 and 2013. First, the factor analysis (2010, n = 216) yielded a three-factor solution, measuring patient story, IDEA, and completeness, with reliabilities of .79, .88, and .79, respectively. Second, an initial interrater reliability study (2010) involving two raters demonstrated fair to moderate consensus (κ = .21-.56, ρ =.42-.79). Third, a second interrater reliability study (2011) with 22 trained raters also demonstrated fair to moderate agreement (intraclass correlations [ICCs] = .29-.67). There was moderate reliability for all three skill domains, including reporting skills (ICC = .53), diagnostic reasoning skills (ICC = .64), and decision-making skills (ICC = .63). Fourth, there was a significant correlation between IDEA rating scores (2010-2013) and final Internal Medicine clerkship grades (r = .24), 95% confidence interval (CI) [.15, .33]. The IDEA assessment tool is a novel tool with validity evidence to support its use in the assessment of students' reporting, diagnostic reasoning, and decision-making skills. The moderate reliability achieved supports formative or lower stakes summative uses rather than high-stakes summative judgments.

New methods of magnet-based instrumentation for NOTES.

PubMed

Magdeburg, Richard; Hauth, Daniel; Kaehler, Georg

2013-12-01

Laparoscopic surgery has displaced open surgery as the standard of care for many clinical conditions. NOTES has been described as the next surgical frontier with the objective of incision-free abdominal surgery. The principal challenge of NOTES procedures is the loss of triangulation and instrument rigidity, which is one of the fundamental concepts of laparoscopic surgery. To overcome these problems necessitates the development of new instrumentation. material and methods: We aimed to assess the use of a very simple combination of internal and external magnets that might allow the vigorous multiaxial traction/counter-traction required in NOTES procedures. The magnet retraction system consisted of an external magnetic assembly and either small internal magnets attached by endoscopic clips to the designated tissue (magnet-clip-approach) or an endoscopic grasping forceps in a magnetic deflector roll (magnet-trocar-approach). We compared both methods regarding precision, time and efficacy by performing transgastric partial uterus resections with better results for the magnet-trocar-approach. This proof-of-principle animal study showed that the combination of external and internal magnets generates sufficient coupling forces at clinically relevant abdominal wall thicknesses, making them suitable for use and evaluation in NOTES procedures, and provides the vigorous multiaxial traction/counter-traction required by the lack of additional abdominal trocars.

Physics Notes

ERIC Educational Resources Information Center

School Science Review, 1972

1972-01-01

Short articles describe techniques for stroboscopic photography of moving objects, mechanical and electronic demonstrations of beats at radio frequencies, simple apparatus for the determination of the specific heat of steam, and the measurement of electrostatic potential by a flame probe. (AL)

Science Notes.

ERIC Educational Resources Information Center

Piearce, Trevor; And Others

1988-01-01

Provides explanations of 15 experiments, laboratory activities, demonstrations, and lessons for use in instruction. Includes information on Daphnia, wild garlic, crystals, gas chromatographs, bleaches, alcohols, reactivity series, chemistry formula, electronic keyboards and waveforms, interference and diffraction gravity, Moire fringe patterns,…

Truck trailers : October 1999

DOT National Transportation Integrated Search

1999-12-01

Information about the scope of the survey, methodology, explanation of terms and historical : notes for this survey may be found in the introduction of the 1997 Manufacturing Profiles, issued August 1999. Current data are released electronically on t...

Chemistry Notes.

ERIC Educational Resources Information Center

School Science Review, 1978

1978-01-01

Describes some laboratory apparatus, chemistry experiments and demonstrations, such as a Kofler block melting point apparatus, chromatographic investigation of the phosphoric acid, x-ray diffraction, the fountain experiment, endothermic sherbet, the measurement of viscosity, ionization energies and electronic configurations. (GA)

Physics Notes.

ERIC Educational Resources Information Center

School Science Review, 1982

1982-01-01

Outlines methodology, demonstrations, and materials including: an inexpensive wave machine; speed of sound in carbon dioxide; diffraction grating method for measuring spectral line wavelength; linear electronic thermometer; analogy for bromine diffusion; direct reading refractice index meter; inexpensive integrated circuit spectrophotometer; and…

About Maggie's Place.

ERIC Educational Resources Information Center

Emmens, Carol E.

1982-01-01

Describes "Maggie's Place," the library computer system of the Pikes Peak Library District, Colorado Springs, Colorado, noting its use as an electronic card catalog and community information file, accessibility by home users and library users, and terminal considerations. (EJS)

OpenNotes in oncology: oncologists' perceptions and a baseline of the content and style of their clinician notes.

PubMed

Alpert, Jordan M; Morris, Bonny B; Thomson, Maria D; Matin, Khalid; Geyer, Charles E; Brown, Richard F

2018-03-27

Patients' ability to access their provider's clinical notes (OpenNotes) has been well received and has led to greater transparency in health systems. However, the majority of this research has occurred in primary care, and little is known about how patients' access to notes is used in oncology. This study aims to understand oncologists' perceptions of OpenNotes, while also establishing a baseline of the linguistic characteristics and patterns used in notes.Data from 13 in-depth, semistructured interviews with oncologists were thematically analyzed. In addition, the Linguistic Inquiry and Word Count (LIWC) program evaluated over 200 clinician notes, measuring variables encompassing emotions, thinking styles, social concerns, and parts of speech. Analysis from LIWC revealed that notes contained negative emotional tone, low authenticity, high clout, and high analytical writing. Oncologists' use of stigmatized and sensitive words, such as "obese" and "distress," was mainly absent. Themes from interviews revealed that oncologists were uncertain about patients' access to their notes and may edit their notes to avoid problematic terminology. Despite their reluctance to embrace OpenNotes, they envisioned opportunities for an improved patient-provider relationship due to patients initiating interactions from viewing notes.Oncologists believe notes are not intended for patients and altering their content may compromise the integrity of the note. This study established a baseline for further study to compare notes pre-implementation to post-implementation. Further analysis will clarify whether oncologists are altering the style and content of their notes and determine the presence of patient-centered language.

Evaluation of the Benefits of High Temperature Electronics for Lunar Power Systems

NASA Technical Reports Server (NTRS)

Fay, Edgar H.

1992-01-01

A comparative evaluation is conducted of several approaches to the cooling of a lunar power system's power electronics, in view of the 400 K temperature of the 354-hour lunar day and lunar dust accumulation, which can contaminate power components and radiator surfaces. It is noted that, by raising the power electronics' baseplate temperature to 480 K, no thermal control system is required; the surface of the baseplate acts as its own, waste-heat-rejecting radiator, but the baseplate must be kept clean of lunar dust contamination.

On the scaling of multicrystal data sets collected at high-intensity X-ray and electron sources

DOE PAGES

Coppens, Philip; Fournier, Bertrand

2015-11-11

Here, the need for data-scaling has become increasingly evident as time-resolved pump-probe photocrystallography is rapidly developing at high intensity X-ray sources. Several aspects of the scaling of data sets collected at synchrotrons, XFELs (X-ray Free Electron Lasers) and high-intensity pulsed electron sources are discussed. They include laser-ON/laser-OFF data scaling, inter- and intra-data set scaling. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.

Analysis and Implementation of an Electronic Laboratory Notebook in a Biomedical Research Institute

PubMed Central

Dujardin, Gwendal; Cabrera-Andrade, Alejandro; Paz-y-Miño, César; Indacochea, Alberto; Inglés-Ferrándiz, Marta; Nadimpalli, Hima Priyanka; Collu, Nicola; Dublanche, Yann; De Mingo, Ismael; Camargo, David

2016-01-01

Electronic laboratory notebooks (ELNs) will probably replace paper laboratory notebooks (PLNs) in academic research due to their advantages in data recording, sharing and security. Despite several reports describing technical characteristics of ELNs and their advantages over PLNs, no study has directly tested ELN performance among researchers. In addition, the usage of tablet-based devices or wearable technology as ELN complements has never been explored in the field. To implement an ELN in our biomedical research institute, here we first present a technical comparison of six ELNs using 42 parameters. Based on this, we chose two ELNs, which were tested by 28 scientists for a 3-month period and by 80 students via hands-on practical exercises. Second, we provide two survey-based studies aimed to compare these two ELNs (PerkinElmer Elements and Microsoft OneNote) and to analyze the use of tablet-based devices. We finally explore the advantages of using wearable technology as ELNs tools. Among the ELNs tested, we found that OneNote presents almost all parameters evaluated (39/42) and both surveyed groups preferred OneNote as an ELN solution. In addition, 80% of the surveyed scientists reported that tablet-based devices improved the use of ELNs in different respects. We also describe the advantages of using OneNote application for Apple Watch as an ELN wearable complement. This work defines essential features of ELNs that could be used to improve ELN implementation and software development. PMID:27479083

Analysis and Implementation of an Electronic Laboratory Notebook in a Biomedical Research Institute.

PubMed

Guerrero, Santiago; Dujardin, Gwendal; Cabrera-Andrade, Alejandro; Paz-Y-Miño, César; Indacochea, Alberto; Inglés-Ferrándiz, Marta; Nadimpalli, Hima Priyanka; Collu, Nicola; Dublanche, Yann; De Mingo, Ismael; Camargo, David

2016-01-01

Electronic laboratory notebooks (ELNs) will probably replace paper laboratory notebooks (PLNs) in academic research due to their advantages in data recording, sharing and security. Despite several reports describing technical characteristics of ELNs and their advantages over PLNs, no study has directly tested ELN performance among researchers. In addition, the usage of tablet-based devices or wearable technology as ELN complements has never been explored in the field. To implement an ELN in our biomedical research institute, here we first present a technical comparison of six ELNs using 42 parameters. Based on this, we chose two ELNs, which were tested by 28 scientists for a 3-month period and by 80 students via hands-on practical exercises. Second, we provide two survey-based studies aimed to compare these two ELNs (PerkinElmer Elements and Microsoft OneNote) and to analyze the use of tablet-based devices. We finally explore the advantages of using wearable technology as ELNs tools. Among the ELNs tested, we found that OneNote presents almost all parameters evaluated (39/42) and both surveyed groups preferred OneNote as an ELN solution. In addition, 80% of the surveyed scientists reported that tablet-based devices improved the use of ELNs in different respects. We also describe the advantages of using OneNote application for Apple Watch as an ELN wearable complement. This work defines essential features of ELNs that could be used to improve ELN implementation and software development.

EVALUATION OF AN ELECTRONIC PAEDIATRIC INTENSIVE CARE UNIT (PICU) MEDICATION RECONCILIATION (MR) FORM.

PubMed

Murray, Diane; Sedgeworth, Cathy; Kinnear, Moira; Diack, Lesley

2016-09-01

To gather opinions from doctors and pharmacists to improve the design of the PICU MR form generated by the electronic prescribing and clinical notes system to support transfer of care from PICU to downstream wards that use paper systems. A purposive sample of 10 forms covering a comprehensive range of medication information common to PICU patients was selected from practice between March 2014 and May 2014. Pharmacists (n=7) and doctors (n=9) who received these forms on downstream wards were invited to participate in semi-structured one-to-one interviews (n=20) with the PICU pharmacist within 48 hrs of receipt to explore their views about the form. The interview schedule was informed from literature and peer review. Comments and suggestions about layout and the MR process were invited. Two pilot interviews (1 pharmacist, 1 doctor) were conducted to test a priori themes were covered and that the questioning style was open, avoided leading and the participant was given time to consider their response. Interviews were recorded using an encrypted digital recorder, transcribed and checked (10%) for accuracy and coding. Framework analysis focused on documentation and work processes. A 110 bed paediatric hospital with critical care, medical, neurology, haematology, oncology and mixed speciality surgical services. The 8-bedded PICU uses the electronic clinical information system (CIS) MetaVision® provided by iMDsoft® and includes electronic prescribing and clinical notes. Downstream wards using paper systems are provided with a new paper drug chart and printed CIS documentation on transfer. New themes extracted during analysis included misunderstanding of the purpose of the form, barriers to use and accessibility of the form. Despite positive comments about the form "…just pull the sheet and you know the medication is confirmed…" (Pharmacist) and "…I think it's a really good system. I think it's quite user friendly and it prints it out in an easy to read way…" (Dr). Issues were identified including unfamiliar documentation "on a paper kardex you would see straight away [medication was discontinued]… you don't know that you need to look somewhere else until you've missed it and it's along with some other chart…" (Pharmacist). Suggestions were made to alter the layout of the form to follow the logical order of steps in the MR process. Non-standard terminology introduced by the computer system was considered ambiguous. Barriers to using the form included misunderstandings in relation to the stage of the patient's journey - was it referring to admission to hospital, admission to PICU, during PICU admission or transfer from PICU? Educational needs were identified during the interviews. Missing forms were a problem. "…our biggest issue is that they come down without having had the discharge printed off…" (Dr). User input informed recommendations for improvements such as clarity of wording and layout of the form, ensuring the MR form is available downstream and highlighted areas for user education. Further evaluation will be undertaken following implementation of these changes. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

The Energy Spectrum of Accelerated Electrons from Wave-Plasma Interactions in the Ionosphere

DTIC Science & Technology

2012-06-29

STATEMENT Distribution A: Approved for public release; distribution is unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT A HAARP ...data was obtained. It was therefore necessary to find the resources to repeat the campaign effort (see budget below). A HAARP campaign was...were highly structured in space and time. This fact, and the lack of electron temperature data at HAARP , made data analysis difficult. It became

Dezhurov holds a GTS electronics unit in Zvezda during Expedition Three

NASA Image and Video Library

2001-08-01

ISS003-E-5477 (August 2001) --- Cosmonaut Vladimir Dezhurov of Rosaviakosmos, Expedition Three flight engineer, holds a Global Time System (GTS) electronics unit in the Zvezda Service Module. Please note: The date identifiers on some frames are not accurate due to a technical problem with one of the Expedition Three cameras. When a specific date is given in the text or description portion, it is correct.

Clinical Considerations of Biological Correlates of Suicide.

ERIC Educational Resources Information Center

Motto, Jerome A.

1986-01-01

Reviews possible biochemical markers for suicide risk but notes that none has clear application for clinical work in suicide prevention. Comments on other biological aspects of suicide including genetics, plasma drug levels, electroconvulsive therapy (ECT) and psychoimmunology. Encourages ECT use. Cautions against hasty clinical use of other…

Note: Design of transverse electron gun for electron beam based reactive evaporation system.

PubMed

Maiti, Namita; Barve, U D; Bhatia, M S; Das, A K

2011-05-01

In this paper design of a 10 kV, 10 kW transverse electron gun, suitable for reactive evaporation, supported by simulation and modeling, is presented. Simulation of the electron beam trajectory helps in locating the emergence aperture after 90° bend and also in designing the crucible on which the beam is finally incident after 270° bend. The dimension of emergence aperture plays a vital role in designing the differential pumping system between the gun chamber and the substrate chamber. Experimental validation is done for beam trajectory by piercing a stainless steel plate at 90° position which is kept above the crucible.

Note: Coherent resonances observed in the dissociative electron attachment to carbon monoxide

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Xu-Dong; Xuan, Chuan-Jin; Tian, Shan Xi, E-mail: sxtian@ustc.edu.cn

Succeeding our previous finding about coherent interference of the resonant states of CO{sup −} formed by the low-energy electron attachment [Tian et al. Phys. Rev. A 88, 012708 (2013)], here we provide further evidence of the coherent interference. The completely backward distributions of the O{sup −} fragment of the temporary CO{sup −} are observed with anion velocity map imaging technique in an electron energy range of 11.3–12.6 eV and explained as the results of the coherent interferences of three resonant states. Furthermore, the state configuration of the interference is changed with the increase of electron attachment energy.

Impact of nitrophenols on the photosynthetic electron transport chain and ATP content in Nostoc muscorum and Chlorella vulgaris.

PubMed

Umamaheswari, A; Venkateswarlu, K

2004-06-01

Concentration-dependent inhibition of the photosynthetic electron transport chain (photosystem I (PS I), photosystem II (PS II) and whole chain reaction) and ATP content was observed in Nostoc muscorum and Chlorella vulgaris grown with o-nitrophenol, m-nitrophenol, or 2,4-dinitrophenol. Although the extents of inhibition of the photosynthetic electron transport chain in both organisms were similar, PS II was more sensitive than PS I and whole chain reaction to the nitrophenols. Depletion of the ATP pool was noted in nitrophenol-grown cultures, probably as a consequence of nearly complete inhibition of the photosynthetic electron transport chain.

'He left me a message on Facebook': comparing the risk profiles of self-harming patients who leave paper suicide notes with those who leave messages on new media.

PubMed

Barrett, Jessica R; Shetty, Hitesh; Broadbent, Matthew; Cross, Sean; Hotopf, Matthew; Stewart, Robert; Lee, William

2016-05-01

In cases of non-fatal self-harm, suicide notes are a major risk factor for repeated self-harm and suicide. Suicide notes can now be left on new media services, emails or text messages, as well as on paper. In a group of people who had harmed themselves, we aimed to compare new media note-leavers with paper note-leavers and characterise these groups demographically and by risk factors. Clinical notes of patients who presented with non-fatal self-harm to two London emergency departments were anonymously searched for mentions of new media use. These were categorised and risk factors were compared for those who had left a new media note, a paper note, or no note to establish differences in risk of note-leaving. New media note-leaving was associated with younger age and substance use; both risk factors for repeated self-harm. However, suicidal intent remained highest in paper note-leavers. Paper note-leavers remain at greatest risk, however new media note leaving is still correlated with risk factors related to repeated self-harm and suicide. Clinicians should enquire about new media use during emergency department assessments of self-harm. None. © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Electronic health records to facilitate clinical research.

PubMed

Cowie, Martin R; Blomster, Juuso I; Curtis, Lesley H; Duclaux, Sylvie; Ford, Ian; Fritz, Fleur; Goldman, Samantha; Janmohamed, Salim; Kreuzer, Jörg; Leenay, Mark; Michel, Alexander; Ong, Seleen; Pell, Jill P; Southworth, Mary Ross; Stough, Wendy Gattis; Thoenes, Martin; Zannad, Faiez; Zalewski, Andrew

2017-01-01

Electronic health records (EHRs) provide opportunities to enhance patient care, embed performance measures in clinical practice, and facilitate clinical research. Concerns have been raised about the increasing recruitment challenges in trials, burdensome and obtrusive data collection, and uncertain generalizability of the results. Leveraging electronic health records to counterbalance these trends is an area of intense interest. The initial applications of electronic health records, as the primary data source is envisioned for observational studies, embedded pragmatic or post-marketing registry-based randomized studies, or comparative effectiveness studies. Advancing this approach to randomized clinical trials, electronic health records may potentially be used to assess study feasibility, to facilitate patient recruitment, and streamline data collection at baseline and follow-up. Ensuring data security and privacy, overcoming the challenges associated with linking diverse systems and maintaining infrastructure for repeat use of high quality data, are some of the challenges associated with using electronic health records in clinical research. Collaboration between academia, industry, regulatory bodies, policy makers, patients, and electronic health record vendors is critical for the greater use of electronic health records in clinical research. This manuscript identifies the key steps required to advance the role of electronic health records in cardiovascular clinical research.

Patient Perceptions of Electronic Medical Record Use by Faculty and Resident Physicians: A Mixed Methods Study.

PubMed

Lee, Wei Wei; Alkureishi, Maria A; Ukabiala, Obioma; Venable, Laura Ruth; Ngooi, Samantha S; Staisiunas, Daina D; Wroblewski, Kristen E; Arora, Vineet M

2016-11-01

While concerns remain regarding Electronic Medical Records (EMR) use impeding doctor-patient communication, resident and faculty patient perspectives post-widespread EMR adoption remain largely unexplored. We aimed to describe patient perspectives of outpatient resident and faculty EMR use and identify positive and negative EMR use examples to promote optimal utilization. This was a prospective mixed-methods study. Internal medicine faculty and resident patients at the University of Chicago's primary care clinic participated in the study. In 2013, one year after EMR implementation, telephone interviews were conducted with patients using open-ended and Likert style questions to elicit positive and negative perceptions of EMR use by physicians. Interview transcripts were analyzed qualitatively to develop a coding classification. Satisfaction with physician EMR use was examined using bivariate statistics. In total, 108 interviews were completed and analyzed. Two major themes were noted: (1) Clinical Functions of EMR and (2) Communication Functions of EMR; as well as six subthemes: (1a) Clinical Care (i.e., clinical efficiency), (1b) Documentation (i.e., proper record keeping and access), (1c) Information Access, (1d) Educational Resource, (2a) Patient Engagement and (2b) Physical Focus (i.e., body positioning). Overall, 85 % (979/1154) of patient perceptions of EMR use were positive, with the majority within the "Clinical Care" subtheme (n = 218). Of negative perceptions, 66 % (115/175) related to the "Communication Functions" theme, and the majority of those related to the "Physical Focus" subtheme (n = 71). The majority of patients (90 %, 95/106) were satisfied with physician EMR use: 59 % (63/107) reported the computer had a positive effect on their relationship and only 7 % (8/108) reported the EMR made it harder to talk with their doctors. Despite concerns regarding EMRs impeding doctor-patient communication, patients reported largely positive perceptions of the EMR with many patients reporting high levels of satisfaction. Future work should focus on improving doctors "physical focus" when using the EMR to redirect towards the patient.

Addressing cultural diversity: the hepatitis B clinical specialist perspective.

PubMed

Wallace, Jack; Smith, Elizabeth; Hajarizadeh, Behzad; Richmond, Jacqueline; Lucke, Jayne

2017-08-31

Hepatitis B is a viral infection primarily affecting people from culturally diverse communities in Australia. While vaccination prevents infection, there is increasing mortality resulting from liver damage associated with chronic infection. Deficits in the national policy and clinical response to hepatitis B result in a low diagnosis rate, inadequate testing and diagnosis processes, and poor access to hepatitis B treatment services. While research identifies inadequate hepatitis B knowledge among people with the virus and primary health care workers, this project sought to identify how specialist clinicians in Australia negotiate cultural diversity, and provide often complex clinical information to people with hepatitis B. A vignette was developed and presented to thirteen viral hepatitis specialist clinicians prior to an electronically recorded interview. Recruitment continued until saturation of themes was reached. Data were thematically coded into themes outlined in the interview schedule. Ethical approval for the research was provided by the La Trobe University Human Research Ethics Committee. Key messages provided to patients with hepatitis B by clinical specialists were identified. These messages were not consistently provided to all patients with hepatitis B, but were determined on perceptions of patient knowledge, age and highest educational level. While the vignette stated that English was not an issue for the patient, most specialists identified the need for an interpreter. Combating stigma related to hepatitis B was seen as important by the specialists and this was done through normalising the virus. Having an awareness of different cultural understandings about hepatitis B specifically, and health and well-being generally, was noted as a communication strategy. Key core competencies need to be developed to deliver educational messages to people with hepatitis B within clinical encounters. The provision of adequate resources to specialist clinics will assist in addressing gaps in the clinical response to hepatitis B.

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department

PubMed Central

Ni, Yizhao; Kennebeck, Stephanie; Dexheimer, Judith W; McAneney, Constance M; Tang, Huaxiu; Lingren, Todd; Li, Qi; Zhai, Haijun; Solti, Imre

2015-01-01

Objectives (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extraction (IE), and machine learning (ML) techniques on real-world clinical data and trials. Data and methods We collected eligibility criteria for 13 randomly selected, disease-specific clinical trials actively enrolling patients between January 1, 2010 and August 31, 2012. In parallel, we retrospectively selected data fields including demographics, laboratory data, and clinical notes from the electronic health record (EHR) to represent profiles of all 202795 patients visiting the ED during the same period. Leveraging NLP, IE, and ML technologies, the automated ES algorithms identified patients whose profiles matched the trial criteria to reduce the pool of candidates for staff screening. The performance was validated on both a physician-generated gold standard of trial–patient matches and a reference standard of historical trial–patient enrollment decisions, where workload, mean average precision (MAP), and recall were assessed. Results Compared with the case without automation, the workload with automated ES was reduced by 92% on the gold standard set, with a MAP of 62.9%. The automated ES achieved a 450% increase in trial screening efficiency. The findings on the gold standard set were confirmed by large-scale evaluation on the reference set of trial–patient matches. Discussion and conclusion By exploiting the text of trial criteria and the content of EHRs, we demonstrated that NLP-, IE-, and ML-based automated ES could successfully identify patients for clinical trials. PMID:25030032

Evaluation of a proximity card authentication system for health care settings.

PubMed

Fontaine, Jacqueline; Zheng, Kai; Van De Ven, Cosmas; Li, Huiyang; Hiner, James; Mitchell, Kathy; Gendler, Stephen; Hanauer, David A

2016-08-01

Multiple users access computer workstations in busy clinical settings, requiring many logins throughout the day as users switch from one computer to another. This can lead to workflow inefficiencies as well as security concerns resulting from users sharing login sessions to save time. Proximity cards and readers have the potential to improve efficiency and security by allowing users to access clinical workstations simply by bringing the card near the reader, without the need for manual entry of a username and password. To assess the perceived impact of proximity cards and readers for rapid user authentication to clinical workstations in the setting of an existing electronic health record with single sign-on software already installed. Questionnaires were administered to clinical faculty and staff five months before and three months after the installation of proximity card readers in an inpatient birthing center and an outpatient obstetrics clinic. Open-ended feedback was also collected and qualitatively analyzed. There were 71 and 33 responses to the pre- and post-implementation surveys, respectively. There was a significant increase in the perceived speed of login with the proximity cards, and a significant decrease in the self-reported occurrence of shared login sessions between users. Feedback regarding the system was mostly positive, although several caveats were noted, including minimal benefit when used with an obstetric application that did not support single sign-on. Proximity cards and readers, along with single sign-on software, have the potential to enhance workflow efficiency by allowing for faster login times and diminish security concerns by reducing shared logins on clinical workstations. The positive feedback was used by our health system leadership to support the expanded implementation of the proximity card readers throughout the clinical setting. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

[Constraints on publication rights in industry-initiated clinical trials--secondary publication].

PubMed

Gøtzsche, Peter C; Hróbjartsson, Asbjørn; Johansen, Helle Krogh; Haahr, Mette T; Altman, Douglas G; Chan, An-Wen

2006-06-19

In 22 of 44 industry-initiated clinical trial protocols from 1994-95, it was noted that the sponsor either owned the data or needed to approve the manuscript; another 18 protocols had other constraints. Furthermore, in 16 trials, the sponsor had access to accumulating data, and in an additional 16 trials the sponsor could stop the trial at any time, for any reason. These facts were not noted in any of the trial reports. We found similar constraints on publication rights in 44 protocols from 2004. This tight sponsor control over industry-initiated trials should be changed.

Physics Notes.

ERIC Educational Resources Information Center

School Science Review, 1981

1981-01-01

Outlines several laboratory procedures and demonstrations including electric fields using sawdust, experiments with capacitors, particle spacing in a vapor and a liquid, metrology, momentum, Moire patterns and interference fringes, equipping for practical electronics, and using programmable calculators for rapid plotting of graphs. (DS)

Use and Characteristics of Electronic Health Record Systems among Office-Based Physician Practices: United States, ...

MedlinePlus

... on Vital and Health Statistics Annual Reports Health Survey Research Methods Conference Reports from the National Medical Care Utilization and Expenditure Survey Clearinghouse on Health Indexes Statistical Notes for Health ...

Digital Tidbits

ERIC Educational Resources Information Center

Kumaran, Maha; Geary, Joe

2011-01-01

Technology has transformed libraries. There are digital libraries, electronic collections, online databases and catalogs, ebooks, downloadable books, and much more. With free technology such as social websites, newspaper collections, downloadable online calendars, clocks and sticky notes, online scheduling, online document sharing, and online…

Science Notes.

ERIC Educational Resources Information Center

Shaw, G. W.; And Others

1989-01-01

Provides a reading list for A- and S-level biology. Contains several experiments and demonstrations with topics on: the intestine, bullock corneal cells, valences, the science of tea, automated hydrolysis, electronics characteristics, bromine diffusion, enthalpy of vaporization determination, thermometers, pendulums, hovercraft, Bernoulli fluid…

Chaplain Documentation and the Electronic Medical Record: A Survey of ACPE Residency Programs.

PubMed

Tartaglia, Alexander; Dodd-McCue, Diane; Ford, Timothy; Demm, Charles; Hassell, Alma

2016-01-01

This study explores the extent to which chaplaincy departments at ACPE-accredited residency programs make use of the electronic medical record (EMR) for documentation and training. Survey data solicited from 219 programs with a 45% response rate and interview findings from 11 centers demonstrate a high level of usage of the EMR as well as an expectation that CPE residents document each patient/family encounter. Centers provided considerable initial training, but less ongoing monitoring of chaplain documentation. Centers used multiple sources to develop documentation tools for the EMR. One center was verified as having created the spiritual assessment component of the documentation tool from a peer reviewed published model. Interviews found intermittent use of the student chart notes for educational purposes. One center verified a structured manner of monitoring chart notes as a performance improvement activity. Findings suggested potential for the development of a standard documentation tool for chaplain charting and training.

Episodic syncope caused by ventricular flutter in a tiger (Panthera tigris).

PubMed

DeLillo, Daniel M; Jesty, Sophy A; Souza, Marcy J

2013-06-01

A captive, 9-yr-old castrated male tiger (Panthera tigris) from an exotic cat sanctuary and rescue facility was observed to have three collapsing episodes within a 2-wk interval prior to being examined by veterinarians. No improvement in clinical signs was noted after empiric treatment with phenobarbital. During a more complete workup for epilepsy, ventricular flutter was observed on electrocardiogram (ECG). The arrhythmia resolved with a single intravenous bolus of lidocaine. Cardiac structure and function were unremarkable on echocardiogram and cardiac troponin I levels were within normal limits for domestic felids. No significant abnormalities were noted on abdominal ultrasound. Complete blood count and biochemistry panel were unremarkable, and heartworm antigen and Blastomyces urine antigen enzyme-linked immunosorbent assays were negative. Antiarrhythmic treatment with sotalol was initiated. On follow-up ECG performed 1 mo later, no significant arrhythmias were noted, and clinical signs have completely resolved.

The Systems SOAP Note: A Systems Learning Tool.

PubMed

Mitsuishi, Fumi; Young, John Q; Leary, Mark; Dilley, James; Mangurian, Christina

2016-02-01

Systems-based practice (SBP) is the only Accreditation Council for Graduate Medical Education (ACGME) competency concerned with public health and is relatively neglected in residency curricula. A tool was developed and pilot-tested to improve SBP learning on inpatient psychiatry rotations. A four-step approach was used: (1) literature review, (2) expert consultation, (3) tool development, and (4) pilot testing on four cases and evaluation for completion time and preliminary efficacy. Out of 51 SBP articles, six (12%) focused on psychiatric residency programs, and none had a practical SBP learning tool. The "systems SOAP (subjective, objective, assessment, plan) note" (S-SOAP) was structured after a clinical SOAP note and was easy to use (mean completion time = 60 min), and residents self-reported more insight into systems issues. The S-SOAP tool was effectively integrated into clinical experience and provided insight into systemic complexities. Future research should assess SBP knowledge acquisition after the use of such tools.

An Ethnographic Study of Health Information Technology Use in Three Intensive Care Units.

PubMed

Leslie, Myles; Paradis, Elise; Gropper, Michael A; Kitto, Simon; Reeves, Scott; Pronovost, Peter

2017-08-01

To identify the impact of a full suite of health information technology (HIT) on the relationships that support safety and quality among intensive care unit (ICU) clinicians. A year-long comparative ethnographic study of three academic ICUs was carried out. A total of 446 hours of observational data was collected in the form of field notes. A subset of these observations-134 hours-was devoted to job-shadowing individual clinicians and conducting a time study of their HIT usage. Significant variation in HIT implementation rates and usage was noted. Average HIT use on the two "high-use" ICUs was 49 percent. On the "low-use" ICU, it was 10 percent. Clinicians on the high-use ICUs experienced "silo" effects with potential safety and quality implications. HIT work was associated with spatial, data, and social silos that separated ICU clinicians from one another and their patients. Situational awareness, communication, and patient satisfaction were negatively affected by this siloing. HIT has the potential to accentuate social and professional divisions as clinical communications shift from being in-person to electronically mediated. Socio-technically informed usability testing is recommended for those hospitals that have yet to implement HIT. For those hospitals already implementing HIT, we suggest rapid, locally driven qualitative assessments focused on developing solutions to identified gaps between HIT usage patterns and organizational quality goals. © Health Research and Educational Trust.

After the Clinic What?

ERIC Educational Resources Information Center

Walker, Laurens; Goldstein, Burton

1976-01-01

Noting the limitations of clinical legal education when it focuses only on the learning of practical skills outside the classroom, the authors describe an experimental course in civil procedure designed to adapt clinical methods to the classroom by placing each student in the role of the lawyer in a specific case with class presentations and…