The medical educator, the discourse analyst, and the phonetician: a collaborative feedback methodology for clinical communication.

PubMed

Woodward-Kron, Robyn; Stevens, Mary; Flynn, Eleanor

2011-05-01

Frameworks for clinical communication assist educators in making explicit the principles of good communication and providing feedback to medical trainees. However, existing frameworks rarely take into account the roles of culture and language in communication, which can be important for international medical graduates (IMGs) whose first language is not English. This article describes the collaboration by a medical educator, a discourse analyst, and a phonetician to develop a communication and language feedback methodology to assist IMG trainees at a Victorian hospital in Australia with developing their doctor-patient communication skills. The Communication and Language Feedback (CaLF) methodology incorporates a written tool and video recording of role-plays of doctor-patient interactions in a classroom setting or in an objective structured clinical examination (OSCE) practice session with a simulated patient. IMG trainees receive verbal feedback from their hospital-based medical clinical educator, the simulated patient, and linguists. The CaLF tool was informed by a model of language in context, observation of IMG communication training, and process evaluation by IMG participants during January to August 2009. The authors provided participants with a feedback package containing their practice video (which included verbal feedback) and the completed CaLF tool.The CaLF methodology provides a tool for medical educators and language practitioners to work collaboratively with IMGs to enhance communication and language skills. The ongoing interdisciplinary collaboration also provides much-needed applied research opportunities in intercultural health communication, an area the authors believe cannot be adequately addressed from the perspective of one discipline alone. Copyright © by the Association of American medical Colleges.

MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts.

PubMed

Aramaki, Eiji; Yano, Ken; Wakamiya, Shoko

2017-01-01

Because of recent replacement of physical documents with electronic medical records (EMR), the importance of information processing in the medical field has increased. In light of this trend, we have been developing MedEx/J, which retrieves important Japanese language information from medical reports. MedEx/J executes two tasks simultaneously: (1) term extraction, and (2) positive and negative event classification. We designate this approach as a one-scan approach, providing simplicity of systems and reasonable accuracy. MedEx/J performance on the two tasks is described herein: (1) term extraction (Fβ = 1 = 0.87) and (2) positive-negative classification (Fβ = 1 = 0.63). This paper also presents discussion and explains remaining issues in the medical natural language processing field.

PASTE: patient-centered SMS text tagging in a medication management system

PubMed Central

Johnson, Kevin B; Denny, Joshua C

2011-01-01

Objective To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Design Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. Measurements A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Results Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Conclusion Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages. PMID:21984605

Classifying free-text triage chief complaints into syndromic categories with natural language processing.

PubMed

Chapman, Wendy W; Christensen, Lee M; Wagner, Michael M; Haug, Peter J; Ivanov, Oleg; Dowling, John N; Olszewski, Robert T

2005-01-01

Develop and evaluate a natural language processing application for classifying chief complaints into syndromic categories for syndromic surveillance. Much of the input data for artificial intelligence applications in the medical field are free-text patient medical records, including dictated medical reports and triage chief complaints. To be useful for automated systems, the free-text must be translated into encoded form. We implemented a biosurveillance detection system from Pennsylvania to monitor the 2002 Winter Olympic Games. Because input data was in free-text format, we used a natural language processing text classifier to automatically classify free-text triage chief complaints into syndromic categories used by the biosurveillance system. The classifier was trained on 4700 chief complaints from Pennsylvania. We evaluated the ability of the classifier to classify free-text chief complaints into syndromic categories with a test set of 800 chief complaints from Utah. The classifier produced the following areas under the ROC curve: Constitutional = 0.95; Gastrointestinal = 0.97; Hemorrhagic = 0.99; Neurological = 0.96; Rash = 1.0; Respiratory = 0.99; Other = 0.96. Using information stored in the system's semantic model, we extracted from the Respiratory classifications lower respiratory complaints and lower respiratory complaints with fever with a precision of 0.97 and 0.96, respectively. Results suggest that a trainable natural language processing text classifier can accurately extract data from free-text chief complaints for biosurveillance.

Using narrative as a bridge: linking language processing models with real-life communication.

PubMed

Whitworth, Anne

2010-02-01

In chronic aphasia, maximizing generalization of improved language abilities from clinical tasks to everyday communication can require the same systematic planning process as the early stages of therapy, often drawing on additional areas of knowledge and successes from other clinical populations. The use of narrative structure is shown here to be a useful framework for building on the developments within sentence processing impairments in aphasia and creating a bridge to more real-life language tasks. An intervention based on narrative structure is described with two people with different language profiles and at different stages of the chronic aphasia spectrum. The insights gained in assessing language ability, underpinning intervention, and capturing therapeutic changes are demonstrated. Thieme Medical Publishers.

The feasibility of using natural language processing to extract clinical information from breast pathology reports.

PubMed

Buckley, Julliette M; Coopey, Suzanne B; Sharko, John; Polubriaginof, Fernanda; Drohan, Brian; Belli, Ahmet K; Kim, Elizabeth M H; Garber, Judy E; Smith, Barbara L; Gadd, Michele A; Specht, Michelle C; Roche, Constance A; Gudewicz, Thomas M; Hughes, Kevin S

2012-01-01

The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural language processing has been designed to convert free text into machine readable data. The aim of the current study was to ascertain the feasibility of using natural language processing to extract clinical information from >76,000 breast pathology reports. APPROACH AND PROCEDURE: Breast pathology reports from three institutions were analyzed using natural language processing software (Clearforest, Waltham, MA) to extract information on a variety of pathologic diagnoses of interest. Data tables were created from the extracted information according to date of surgery, side of surgery, and medical record number. The variety of ways in which each diagnosis could be represented was recorded, as a means of demonstrating the complexity of machine interpretation of free text. There was widespread variation in how pathologists reported common pathologic diagnoses. We report, for example, 124 ways of saying invasive ductal carcinoma and 95 ways of saying invasive lobular carcinoma. There were >4000 ways of saying invasive ductal carcinoma was not present. Natural language processor sensitivity and specificity were 99.1% and 96.5% when compared to expert human coders. We have demonstrated how a large body of free text medical information such as seen in breast pathology reports, can be converted to a machine readable format using natural language processing, and described the inherent complexities of the task.

Morphosemantic parsing of medical compound words: transferring a French analyzer to English.

PubMed

Deléger, Louise; Namer, Fiammetta; Zweigenbaum, Pierre

2009-04-01

Medical language, as many technical languages, is rich with morphologically complex words, many of which take their roots in Greek and Latin--in which case they are called neoclassical compounds. Morphosemantic analysis can help generate definitions of such words. The similarity of structure of those compounds in several European languages has also been observed, which seems to indicate that a same linguistic analysis could be applied to neo-classical compounds from different languages with minor modifications. This paper reports work on the adaptation of a morphosemantic analyzer dedicated to French (DériF) to analyze English medical neo-classical compounds. It presents the principles of this transposition and its current performance. The analyzer was tested on a set of 1299 compounds extracted from the WHO-ART terminology. 859 could be decomposed and defined, 675 of which successfully. An advantage of this process is that complex linguistic analyses designed for French could be successfully transposed to the analysis of English medical neoclassical compounds, which confirmed our hypothesis of transferability. The fact that the method was successfully applied to a Germanic language such as English suggests that performances would be at least as high if experimenting with Romance languages such as Spanish. Finally, the resulting system can produce more complete analyses of English medical compounds than existing systems, including a hierarchical decomposition and semantic gloss of each word.

Early language processing efficiency predicts later receptive vocabulary outcomes in children born preterm.

PubMed

Marchman, Virginia A; Adams, Katherine A; Loi, Elizabeth C; Fernald, Anne; Feldman, Heidi M

2016-01-01

As rates of prematurity continue to rise, identifying which preterm children are at increased risk for learning disabilities is a public health imperative. Identifying continuities between early and later skills in this vulnerable population can also illuminate fundamental neuropsychological processes that support learning in all children. At 18 months adjusted age, we used socioeconomic status (SES), medical variables, parent-reported vocabulary, scores on the Bayley Scales of Infant and Toddler Development (third edition) language composite, and children's lexical processing speed in the looking-while-listening (LWL) task as predictor variables in a sample of 30 preterm children. Receptive vocabulary as measured by the Peabody Picture Vocabulary Test (fourth edition) at 36 months was the outcome. Receptive vocabulary was correlated with SES, but uncorrelated with degree of prematurity or a composite of medical risk. Importantly, lexical processing speed was the strongest predictor of receptive vocabulary (r = -.81), accounting for 30% unique variance. Individual differences in lexical processing efficiency may be able to serve as a marker for information processing skills that are critical for language learning.

Language and arithmetic--a study using the intracarotid amobarbital procedure.

PubMed

Delazer, Margarete; Karner, Elfriede; Unterberger, Iris; Walser, Gerald; Waldenberger, Peter; Trinka, Eugen; Benke, Thomas

2005-08-22

The intracarotid amobarbital procedure is used as a standard procedure in presurgical evaluation to assess hemispheric lateralization of language and memory, but has not been applied to investigate numerical processing. Patients with medically intractable epilepsy (n=20) were consecutively recruited during a presurgical evaluation programme. All 14 patients with left-lateralized language showed better arithmetic performance with the left hemisphere (intracarotid amobarbital procedure right), while five out of six patients with bilateral or right-hemispheric language representation showed better performance with the right hemisphere (intracarotid amobarbital procedure left). Furthermore, in patients with left-lateralized language, an interaction between intracarotid amobarbital procedure and type of arithmetic operation was found. The study suggests a close association between language lateralization and hemispheric specialization for arithmetic processing.

Medical education in a foreign language and history-taking in the native language in Lebanon - a nationwide survey.

PubMed

Abi Raad, Vanda; Raad, Kareem; Daaboul, Yazan; Korjian, Serge; Asmar, Nadia; Jammal, Mouin; Aoun Bahous, Sola

2016-11-22

With the adoption of the English language in medical education, a gap in clinical communication may develop in countries where the native language is different from the language of medical education. This study investigates the association between medical education in a foreign language and students' confidence in their history-taking skills in their native language. This cross-sectional study consisted of a 17-question survey among medical students in clinical clerkships of Lebanese medical schools. The relationship between the language of medical education and confidence in conducting a medical history in Arabic (the native language) was evaluated (n = 457). The majority (88.5%) of students whose native language was Arabic were confident they could conduct a medical history in Arabic. Among participants enrolled in the first clinical year, high confidence in Arabic history-taking was independently associated with Arabic being the native language and with conducting medical history in Arabic either in the pre-clinical years or during extracurricular activities. Among students in their second clinical year, however, these factors were not associated with confidence levels. Despite having their medical education in a foreign language, the majority of students in Lebanese medical schools are confident in conducting a medical history in their native language.

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML).

PubMed

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-07-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging.

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML)*

PubMed Central

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-01-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging. PMID:15973760

A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing.

PubMed

Honda, Masayuki; Matsumoto, Takehiro

2017-01-01

Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities. Data Warehouse systems in Hospital Information Systems used for the analysis of structured data such as disease, lab-tests, and medications, have also shown efficient outcomes. This article is focused on two kinds of essential functions: process mining using log data and non-structured data analysis via Natural Language Processing.

Evaluation of a French medical multi-terminology indexer for the manual annotation of natural language medical reports of healthcare-associated infections.

PubMed

Sakji, Saoussen; Gicquel, Quentin; Pereira, Suzanne; Kergourlay, Ivan; Proux, Denys; Darmoni, Stéfan; Metzger, Marie-Hélène

2010-01-01

Surveillance of healthcare-associated infections is essential to prevention. A new collaborative project, namely ALADIN, was launched in January 2009 and aims to develop an automated detection tool based on natural language processing of medical documents. The objective of this study was to evaluate the annotation of natural language medical reports of healthcare-associated infections. A software MS Access application (NosIndex) has been developed to interface ECMT XML answer and manual annotation work. ECMT performances were evaluated by an infection control practitioner (ICP). Precision was evaluated for the 2 modules and recall only for the default module. Exclusion rate was defined as ratio between medical terms not found by ECMT and total number of terms evaluated. The medical discharge summaries were randomly selected in 4 medical wards. From the 247 medical terms evaluated, ECMT proposed 428 and 3,721 codes, respectively for the default and expansion modules. The precision was higher with the default module (P1=0.62) than with the expansion (P2=0.47). Performances of ECMT as support tool for the medical annotation were satisfactory.

[An expert system of aiding decision making in breast pathology connected to a clinical data base].

PubMed

Brunet, M; Durrleman, S; Ferber, J; Ganascia, J G; Hacene, K; Hirt, F; Jouniaux, F; Meeus, L

1987-01-01

The René Huguenin Cancer Center holds a medical file for each patient which is intended to store and process medical data. Since 1970, we introduced computerization: a development plan was elaborated and simultaneously a statistical software (Clotilde--GSI/CFRO) was selected. Thus, we now have access to a large database, structured according to medical rationale, and utilizable with methods of artificial intelligence towards three objectives: improved data acquisition, decision making and exploitation. The first application was to breast pathology, which represents one of the Center's primary activities. The structure of the data concerning patients is by all criteria part of the medical knowledge. This information needs to be presented as well as processed with a suitable language. To this end, we chose a language-oriented object, Mering II, usable with Apple and IBM 4 micro-computers. This project has already allowed to work out an operational model.

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.

Natural language processing: an introduction.

PubMed

Nadkarni, Prakash M; Ohno-Machado, Lucila; Chapman, Wendy W

2011-01-01

To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field.

Natural language processing: an introduction

PubMed Central

Ohno-Machado, Lucila; Chapman, Wendy W

2011-01-01

Objectives To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. Target audience This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. Scope We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field. PMID:21846786

Laying the Groundwork for Enterprise-Wide Medical Language Processing Services: Architecture and Process

PubMed Central

Chen, Elizabeth S.; Maloney, Francine L.; Shilmayster, Eugene; Goldberg, Howard S.

2009-01-01

A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was initiated to establish a component-based architectural model and processes to facilitate putting MLP functionality into production for enterprise consumption, promote sharing of components, and encourage reuse. Key objectives included exploring the use of an open-source framework called the Unstructured Information Management Architecture (UIMA) and leveraging existing MLP-related efforts, terminology, and document standards. This paper describes early experiences in defining the infrastructure and standards for extracting, encoding, and structuring clinical observations from a variety of clinical documents to serve enterprise-wide needs. PMID:20351830

Laying the groundwork for enterprise-wide medical language processing services: architecture and process.

PubMed

Chen, Elizabeth S; Maloney, Francine L; Shilmayster, Eugene; Goldberg, Howard S

2009-11-14

A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was initiated to establish a component-based architectural model and processes to facilitate putting MLP functionality into production for enterprise consumption, promote sharing of components, and encourage reuse. Key objectives included exploring the use of an open-source framework called the Unstructured Information Management Architecture (UIMA) and leveraging existing MLP-related efforts, terminology, and document standards. This paper describes early experiences in defining the infrastructure and standards for extracting, encoding, and structuring clinical observations from a variety of clinical documents to serve enterprise-wide needs.

ITOHealth: a multimodal middleware-oriented integrated architecture for discovering medical entities.

PubMed

Alor-Hernández, Giner; Sánchez-Cervantes, José Luis; Juárez-Martínez, Ulises; Posada-Gómez, Rubén; Cortes-Robles, Guillermo; Aguilar-Laserre, Alberto

2012-03-01

Emergency healthcare is one of the emerging application domains for information services, which requires highly multimodal information services. The time of consuming pre-hospital emergency process is critical. Therefore, the minimization of required time for providing primary care and consultation to patients is one of the crucial factors when trying to improve the healthcare delivery in emergency situations. In this sense, dynamic location of medical entities is a complex process that needs time and it can be critical when a person requires medical attention. This work presents a multimodal location-based system for locating and assigning medical entities called ITOHealth. ITOHealth provides a multimodal middleware-oriented integrated architecture using a service-oriented architecture in order to provide information of medical entities in mobile devices and web browsers with enriched interfaces providing multimodality support. ITOHealth's multimodality is based on the use of Microsoft Agent Characters, the integration of natural language voice to the characters, and multi-language and multi-characters support providing an advantage for users with visual impairments.

[Medical publishing in Norway 1905-2005].

PubMed

Nylenna, Magne; Larsen, Øivind

2005-06-02

The nation-building process in Norway took mainly place before the Norwegian-Swedish union came to a close in 1905. This was not a dramatic change, though the end of the union did bring a lift to Norwegian national consciousness. In 1905 there were three general medical journals in Norway and approximately 1200 doctors. German was the most important language of international science, but most scientific publishing was done in Norwegian. After the Second World War, English became the dominating language of scientific communication. Twentieth-century medicine and medical publishing was an era of specialisation and internationalisation. Norwegian medicine has to a large extent been internationalised through Nordic cooperation, with the Nordic specialist journals being of particular importance. With increasing professionalism in research, international English-language journals have become the major channels of communication, though several Norwegian-language journals (on paper or on the internet) have been established and are of crucial importance to a national identity within medical specialties. In 2005 there is only one general medical journal in Norwegian, in a country with approximately 20,000 doctors. A national identity related to medical publishing is not given much attention, though national medicine is still closely tied in with national culture. Good clinical practice should be based on a firm knowledge of local society and local tradition. This is a challenge in contemporary medical publishing.

Comparing Noun Phrasing Techniques for Use with Medical Digital Library Tools.

ERIC Educational Resources Information Center

Tolle, Kristin M.; Chen, Hsinchun

2000-01-01

Describes a study that investigated the use of a natural language processing technique called noun phrasing to determine whether it is a viable technique for medical information retrieval. Evaluates four noun phrase generation tools for their ability to isolate noun phrases from medical journal abstracts, focusing on precision and recall.…

[Big data, medical language and biomedical terminology systems].

PubMed

Schulz, Stefan; López-García, Pablo

2015-08-01

A variety of rich terminology systems, such as thesauri, classifications, nomenclatures and ontologies support information and knowledge processing in health care and biomedical research. Nevertheless, human language, manifested as individually written texts, persists as the primary carrier of information, in the description of disease courses or treatment episodes in electronic medical records, and in the description of biomedical research in scientific publications. In the context of the discussion about big data in biomedicine, we hypothesize that the abstraction of the individuality of natural language utterances into structured and semantically normalized information facilitates the use of statistical data analytics to distil new knowledge out of textual data from biomedical research and clinical routine. Computerized human language technologies are constantly evolving and are increasingly ready to annotate narratives with codes from biomedical terminology. However, this depends heavily on linguistic and terminological resources. The creation and maintenance of such resources is labor-intensive. Nevertheless, it is sensible to assume that big data methods can be used to support this process. Examples include the learning of hierarchical relationships, the grouping of synonymous terms into concepts and the disambiguation of homonyms. Although clear evidence is still lacking, the combination of natural language technologies, semantic resources, and big data analytics is promising.

MCAT Verbal Reasoning score: less predictive of medical school performance for English language learners.

PubMed

Winegarden, Babbi; Glaser, Dale; Schwartz, Alan; Kelly, Carolyn

2012-09-01

Medical College Admission Test (MCAT) scores are widely used as part of the decision-making process for selecting candidates for admission to medical school. Applicants who learned English as a second language may be at a disadvantage when taking tests in their non-native language. Preliminary research found significant differences between English language learners (ELLs), applicants who learned English after the age of 11 years, and non-ELL examinees on the Verbal Reasoning (VR) sub-test of the MCAT. The purpose of this study was to determine if relationships between VR sub-test scores and measures of medical school performance differed between ELL and non-ELL students. Scores on the MCAT VR sub-test and student performance outcomes (grades, examination scores, and markers of distinction and difficulty) were extracted from University of California San Diego School of Medicine admissions files and the Association of American Medical Colleges database for 924 students who matriculated in 1998-2005 (graduation years 2002-2009). Regression models were fitted to determine whether MCAT VR sub-test scores predicted medical school performance similarly for ELLs and non-ELLs. For several outcomes, including pre-clerkship grades, academic distinction, US Medical Licensing Examination Step 2 Clinical Knowledge scores and two clerkship shelf examinations, ELL status significantly affects the ability of the VR score to predict performance. Higher correlations between VR score and medical school performance emerged for non-ELL students than for ELL students for each of these outcomes. The MCAT VR score should be used with discretion when assessing ELL applicants for admission to medical school. © Blackwell Publishing Ltd 2012.

[The dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modeling language (VRML)].

PubMed

Yu, Zhengyang; Zheng, Shusen; Chen, Huaiqing; Wang, Jianjun; Xiong, Qingwen; Jing, Wanjun; Zeng, Yu

2006-10-01

This research studies the process of dynamic concision and 3D reconstruction from medical body data using VRML and JavaScript language, focuses on how to realize the dynamic concision of 3D medical model built with VRML. The 2D medical digital images firstly are modified and manipulated by 2D image software. Then, based on these images, 3D mould is built with VRML and JavaScript language. After programming in JavaScript to control 3D model, the function of dynamic concision realized by Script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be formed in high quality near to those got in traditional methods. By this way, with the function of dynamic concision, VRML browser can offer better windows of man-computer interaction in real time environment than before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and has a promising prospect in the fields of medical image.

Natural Language Processing Based Instrument for Classification of Free Text Medical Records

PubMed Central

2016-01-01

According to the Ministry of Labor, Health and Social Affairs of Georgia a new health management system has to be introduced in the nearest future. In this context arises the problem of structuring and classifying documents containing all the history of medical services provided. The present work introduces the instrument for classification of medical records based on the Georgian language. It is the first attempt of such classification of the Georgian language based medical records. On the whole 24.855 examination records have been studied. The documents were classified into three main groups (ultrasonography, endoscopy, and X-ray) and 13 subgroups using two well-known methods: Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). The results obtained demonstrated that both machine learning methods performed successfully, with a little supremacy of SVM. In the process of classification a “shrink” method, based on features selection, was introduced and applied. At the first stage of classification the results of the “shrink” case were better; however, on the second stage of classification into subclasses 23% of all documents could not be linked to only one definite individual subclass (liver or binary system) due to common features characterizing these subclasses. The overall results of the study were successful. PMID:27668260

Indexing Anatomical Phrases in Neuro-Radiology Reports to the UMLS 2005AA

PubMed Central

Bashyam, Vijayaraghavan; Taira, Ricky K.

2005-01-01

This work describes a methodology to index anatomical phrases to the 2005AA release of the Unified Medical Language System (UMLS). A phrase chunking tool based on Natural Language Processing (NLP) was developed to identify semantically coherent phrases within medical reports. Using this phrase chunker, a set of 2,551 unique anatomical phrases was extracted from brain radiology reports. These phrases were mapped to the 2005AA release of the UMLS using a vector space model. Precision for the task of indexing unique phrases was 0.87. PMID:16778995

SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data.

PubMed

López-García, Pablo; Kreuzthaler, Markus; Schulz, Stefan; Scherr, Daniel; Daumke, Philipp; Markó, Kornél; Kors, Jan A; van Mulligen, Erik M; Wang, Xinkai; Gonna, Hanney; Behr, Elijah; Honrado, Ángel

2016-01-01

The vast amount of clinical data in electronic health records constitutes a great potential for secondary use. However, most of this content consists of unstructured or semi-structured texts, which is difficult to process. Several challenges are still pending: medical language idiosyncrasies in different natural languages, and the large variety of medical terminology systems. In this paper we present SEMCARE, a European initiative designed to minimize these problems by providing a multi-lingual platform (English, German, and Dutch) that allows users to express complex queries and obtain relevant search results from clinical texts. SEMCARE is based on a selection of adapted biomedical terminologies, together with Apache UIMA and Apache Solr as open source state-of-the-art natural language pipeline and indexing technologies. SEMCARE has been deployed and is currently being tested at three medical institutions in the UK, Austria, and the Netherlands, showing promising results in a cardiology use case.

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.

Towards a semantic lexicon for biological language processing

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

Verspoor, K.

It is well understood that natural language processing (NLP) applications require sophisticated lexical resources to support their processing goals. In the biomedical domain, we are privileged to have access to extensive terminological resources in the form of controlled vocabularies and ontologies, which have been integrated into the framework of the National Library of Medicine's Unified Medical Language System's (UMLS) Metathesaurus. However, the existence of such terminological resources does not guarantee their utility for NLP. In particular, we have two core requirements for lexical resources for NLP in addition to the basic enumeration of important domain terms: representation of morphosyntactic informationmore » about those terms, specifically part of speech information and inflectional patterns to support parsing and lemma assignment, and representation of semantic information indicating general categorical information about terms, and significant relations between terms to support text understanding and inference (Hahn et at, 1999). Biomedical vocabularies by and large commonly leave out morphosyntactic information, and where they address semantic considerations, they often do so in an unprincipled manner, for instance by indicating a relation between two concepts without indicating the type of that relation. But all is not lost. The UMLS knowledge sources include two additional resources which are relevant - the SPECIALIST lexicon, a lexicon addressing our morphosyntactic requirements, and the Semantic Network, a representation of core conceptual categories in the biomedical domain. The coverage of these two knowledge sources with respect to the full coverage of the Metathesaurus is, however, not entirely clear. Furthermore, when our goals are specifically to process biological text - and often more specifically, text in the molecular biology domain - it is difficult to say whether the coverage of these resources is meaningful. The utility of the UMLS knowledge sources for medical language processing (MLP) has been explored (Johnson, 1999; Friedman et al 2001); the time has now come to repeat these experiments with respect to biological language processing (BLP). To that end, this paper presents an analysis of ihe UMLS resources, specifically with an eye towards constructing lexical resources suitable for BLP. We follow the paradigm presented in Johnson (1999) for medical language, exploring overlap between the UMLS Metathesaurus and SPECIALIST lexicon to construct a morphosyntactic and semantically-specified lexicon, and then further explore the overlap with a relevant domain corpus for molecular biology.« less

Behind the scenes: A medical natural language processing project.

PubMed

Wu, Joy T; Dernoncourt, Franck; Gehrmann, Sebastian; Tyler, Patrick D; Moseley, Edward T; Carlson, Eric T; Grant, David W; Li, Yeran; Welt, Jonathan; Celi, Leo Anthony

2018-04-01

Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endeavors in healthcare may not be clinically relevant, may have unrealistic expectations, or may not be explicit enough about their limitations. A diverse and well-functioning multidisciplinary team (MDT) can help identify appropriate and achievable AI research agendas in healthcare, and advance medical AI technologies by developing AI algorithms as well as addressing the shortage of appropriately labeled datasets for machine learning. In this paper, our team of engineers, clinicians and machine learning experts share their experience and lessons learned from their two-year-long collaboration on a natural language processing (NLP) research project. We highlight specific challenges encountered in cross-disciplinary teamwork, dataset creation for NLP research, and expectation setting for current medical AI technologies. Copyright © 2017. Published by Elsevier B.V.

Developing tools and resources for the biomedical domain of the Greek language.

PubMed

Vagelatos, Aristides; Mantzari, Elena; Pantazara, Mavina; Tsalidis, Christos; Kalamara, Chryssoula

2011-06-01

This paper presents the design and implementation of terminological and specialized textual resources that were produced in the framework of the Greek research project "IATROLEXI". The aim of the project was to create the critical infrastructure for the Greek language, i.e. linguistic resources and tools for use in high level Natural Language Processing (NLP) applications in the domain of biomedicine. The project was built upon existing resources developed by the project partners and further enhanced within its framework, i.e. a Greek morphological lexicon of about 100,000 words, and language processing tools such as a lemmatiser and a morphosyntactic tagger. Christos Tsalidis, Additionally, it developed new assets, such as a specialized corpus of biomedical texts and an ontology of medical terminology.

Detection of Practice Pattern Trends through Natural Language Processing of Clinical Narratives and Biomedical Literature

PubMed Central

Chen, Elizabeth S.; Stetson, Peter D.; Lussier, Yves A.; Markatou, Marianthi; Hripcsak, George; Friedman, Carol

2007-01-01

Clinical knowledge, best evidence, and practice patterns evolve over time. The ability to track these changes and study practice trends may be valuable for performance measurement and quality improvement efforts. The goal of this study was to assess the feasibility and validity of methods to generate and compare trends in biomedical literature and clinical narrative. We focused on the challenge of detecting trends in medication usage over time for two diseases: HIV/AIDS and asthma. Information about disease-specific medications in published randomized control trials and discharge summaries at New York-Presbyterian Hospital over a ten-year period were extracted using Natural Language Processing. This paper reports on the ability of our semi-automated process to discover disease-drug practice pattern trends and interpretation of findings across the biomedical and clinical text sources. PMID:18693810

UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.

PubMed

Demner-Fushman, Dina; Mork, James G; Shooshan, Sonya E; Aronson, Alan R

2010-08-01

Identification of medical terms in free text is a first step in such Natural Language Processing (NLP) tasks as automatic indexing of biomedical literature and extraction of patients' problem lists from the text of clinical notes. Many tools developed to perform these tasks use biomedical knowledge encoded in the Unified Medical Language System (UMLS) Metathesaurus. We continue our exploration of automatic approaches to creation of subsets (UMLS content views) which can support NLP processing of either the biomedical literature or clinical text. We found that suppression of highly ambiguous terms in the conservative AutoFilter content view can partially replace manual filtering for literature applications, and suppression of two character mappings in the same content view achieves 89.5% precision at 78.6% recall for clinical applications. Published by Elsevier Inc.

Profiles of Verbal Working Memory Growth Predict Speech and Language Development in Children with Cochlear Implants

ERIC Educational Resources Information Center

Kronenberger, William G.; Pisoni, David B.; Harris, Michael S.; Hoen, Helena M.; Xu, Huiping; Miyamoto, Richard T.

2013-01-01

Purpose: Verbal short-term memory (STM) and working memory (WM) skills predict speech and language outcomes in children with cochlear implants (CIs) even after conventional demographic, device, and medical factors are taken into account. However, prior research has focused on single end point outcomes as opposed to the longitudinal process of…

ArdenML: The Arden Syntax Markup Language (or Arden Syntax: It's Not Just Text Any More!)

PubMed Central

Sailors, R. Matthew

2001-01-01

It is no longer necessary to think of Arden Syntax as simply a text-based knowledge base format. The development of ArdenML (Arden Syntax Markup Language), an XML-based markup language allows structured access to most of the maintenance and library categories without the need to write or buy a compiler may lead to the development of simple commercial and freeware tools for processing Arden Syntax Medical Logic Modules (MLMs)

Standard Generalized Markup Language for self-defining structured reports.

PubMed

Kahn, C E

1999-01-01

Structured reporting is the process of using standardized data elements and predetermined data-entry formats to record observations. The Standard Generalized Markup Language (SGML; International Standards Organization (ISO) 8879:1986)--an open, internationally accepted standard for document interchange was used to encode medical observations acquired in an Internet-based structured reporting system. The resulting report is self-documenting: it includes a definition of its allowable data fields and values encoded as a report-specific SGML document type definition (DTD). The data-entry forms, DTD, and report document instances are based on report specifications written in a simple, SGML-based language designed for that purpose. Reporting concepts can be linked with those of external vocabularies such as the Unified Medical Language System (UMLS) Metathesaurus. The use of open standards such as SGML is an important step in the creation of open, universally comprehensible structured reports.

Problems for the Average Adult in Understanding Medical Language.

ERIC Educational Resources Information Center

Crismore, Avon

Like legal language, medical language is a private language, a separate stratum containing some words specially defined for medical purposes, some existing only in the medical vocabulary, and some adding precision or solemnity. These characteristics often cause a breakdown in patient-doctor communication. Analysis of data obtained from prototype…

Incorporating E-learning in teaching English language to medical students: exploring its potential contributions

PubMed Central

Navidinia, Hossein; Zare Bidaki, Majid; Hekmati, Nargess

2016-01-01

Background: The spread of technology has influenced different aspects of human life, and teaching and learning are not exceptions. This study aimed to examine the potential contribution of the use of technology in teaching English language to medical students. Methods: This qualitative-action research study was conducted in Birjand University of Medical Sciences (BUMS), with 60 medical students taking a general English course in the Fall Semester of 2015. The class favored different tools and multimedia facilities such as a tube channel, e-dictionaries, educational films, and etextbooks to enhance students’ learning. In addition, the class had a weblog in which students could upload assignments and receive feedback from peers and the instructors. Results: The results revealed that e-learning could enhance students’ language proficiency and facilitate the teaching process. Learners preferred to use more e-dictionaries to learn the meaning of the new words, watch English medical films to boost their speaking and listening skills, and use the electronic version of their textbook as they could carry it wherever they wanted. Conclusion: The students preferred this method of learning English as they became more independent by using the electronic facilities. They found that learning English did not have a fixed institutionalized method, and e-learning activities could provide them with authentic input for language learning even outside of the classroom. PMID:28491837

Incorporating E-learning in teaching English language to medical students: exploring its potential contributions.

PubMed

Navidinia, Hossein; Zare Bidaki, Majid; Hekmati, Nargess

2016-01-01

Background: The spread of technology has influenced different aspects of human life, and teaching and learning are not exceptions. This study aimed to examine the potential contribution of the use of technology in teaching English language to medical students. Methods: This qualitative-action research study was conducted in Birjand University of Medical Sciences (BUMS), with 60 medical students taking a general English course in the Fall Semester of 2015. The class favored different tools and multimedia facilities such as a tube channel, e-dictionaries, educational films, and etextbooks to enhance students' learning. In addition, the class had a weblog in which students could upload assignments and receive feedback from peers and the instructors. Results: The results revealed that e-learning could enhance students' language proficiency and facilitate the teaching process. Learners preferred to use more e-dictionaries to learn the meaning of the new words, watch English medical films to boost their speaking and listening skills, and use the electronic version of their textbook as they could carry it wherever they wanted. Conclusion: The students preferred this method of learning English as they became more independent by using the electronic facilities. They found that learning English did not have a fixed institutionalized method, and e-learning activities could provide them with authentic input for language learning even outside of the classroom.

Building an ontology of pulmonary diseases with natural language processing tools using textual corpora.

PubMed

Baneyx, Audrey; Charlet, Jean; Jaulent, Marie-Christine

2007-01-01

Pathologies and acts are classified in thesauri to help physicians to code their activity. In practice, the use of thesauri is not sufficient to reduce variability in coding and thesauri are not suitable for computer processing. We think the automation of the coding task requires a conceptual modeling of medical items: an ontology. Our task is to help lung specialists code acts and diagnoses with software that represents medical knowledge of this concerned specialty by an ontology. The objective of the reported work was to build an ontology of pulmonary diseases dedicated to the coding process. To carry out this objective, we develop a precise methodological process for the knowledge engineer in order to build various types of medical ontologies. This process is based on the need to express precisely in natural language the meaning of each concept using differential semantics principles. A differential ontology is a hierarchy of concepts and relationships organized according to their similarities and differences. Our main research hypothesis is to apply natural language processing tools to corpora to develop the resources needed to build the ontology. We consider two corpora, one composed of patient discharge summaries and the other being a teaching book. We propose to combine two approaches to enrich the ontology building: (i) a method which consists of building terminological resources through distributional analysis and (ii) a method based on the observation of corpus sequences in order to reveal semantic relationships. Our ontology currently includes 1550 concepts and the software implementing the coding process is still under development. Results show that the proposed approach is operational and indicates that the combination of these methods and the comparison of the resulting terminological structures give interesting clues to a knowledge engineer for the building of an ontology.

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

Interpreting hypernymic propositions in an online medical encyclopedia.

PubMed

Fiszman, Marcelo; Rindflesch, Thomas C; Kilicoglu, Halil

2003-01-01

Interpretation of semantic propositions from bio-medical texts documents would provide valuable support to natural language processing (NLP) applications. We are developing a methodology to interpret a kind of semantic proposition, the hypernymic proposition, in MEDLINE abstracts. In this paper, we expanded the system to identify these structures in a different discourse domain: the Medical Encyclopedia from the National Library of Medi-cine's MEDLINEplus Website.

Separating Business Logic from Medical Knowledge in Digital Clinical Workflows Using Business Process Model and Notation and Arden Syntax.

PubMed

de Bruin, Jeroen S; Adlassnig, Klaus-Peter; Leitich, Harald; Rappelsberger, Andrea

2018-01-01

Evidence-based clinical guidelines have a major positive effect on the physician's decision-making process. Computer-executable clinical guidelines allow for automated guideline marshalling during a clinical diagnostic process, thus improving the decision-making process. Implementation of a digital clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized workflow, thereby separating business logic from medical knowledge and decision-making. We used the Business Process Model and Notation language system Activiti for business logic and workflow modeling. Medical decision-making was performed by an Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software. We succeeded in creating an electronic clinical workflow for the prevention of mother-to-child transmission of hepatitis B, where institution-specific medical decision-making processes could be adapted without modifying the workflow business logic. Separation of business logic and medical decision-making results in more easily reusable electronic clinical workflows.

From data mining rules to medical logical modules and medical advices.

PubMed

Gomoi, Valentin; Vida, Mihaela; Robu, Raul; Stoicu-Tivadar, Vasile; Bernad, Elena; Lupşe, Oana

2013-01-01

Using data mining in collaboration with Clinical Decision Support Systems adds new knowledge as support for medical diagnosis. The current work presents a tool which translates data mining rules supporting generation of medical advices to Arden Syntax formalism. The developed system was tested with data related to 2326 births that took place in 2010 at the Bega Obstetrics - Gynaecology Hospital, Timişoara. Based on processing these data, 14 medical rules regarding the Apgar score were generated and then translated in Arden Syntax language.

A Medical Language Processor for Two Indo-European Languages

PubMed Central

Nhan, Ngo Thanh; Sager, Naomi; Lyman, Margaret; Tick, Leo J.; Borst, François; Su, Yun

1989-01-01

The syntax and semantics of clinical narrative across Indo-European languages are quite similar, making it possible to envison a single medical language processor that can be adapted for different European languages. The Linguistic String Project of New York University is continuing the development of its Medical Language Processor in this direction. The paper describes how the processor operates on English and French.

Assessing physician-parent communication during emergency medical procedures in children: an observational study in a low-literacy Latino patient population.

PubMed

Dahl, Aaron; Sinha, Madhumita; Rosenberg, David I; Tran, Melissa; Valdez, André

2015-05-01

Effective physician-patient communication is critical to the clinical decision-making process. We studied parental recall of information provided during an informed consent discussion process before performance of emergency medical procedures in a pediatric emergency department of an inner-city hospital with a large bilingual population. Fifty-five parent/child dyads undergoing emergency medical procedures were surveyed prospectively in English/Spanish postprocedure for recall of informed consent information. Exact logistic regression was used to predict the ability to name a risk, benefit, and alternative to the procedure based on a parent's language, education, and acculturation. Among English-speaking parents, there tended to be higher proportions that could name a risk, benefit, or alternative. Our regression models showed overall that the parents with more than a high school education tended to have nearly 5 times higher odds of being able to name a risk. A gap in communication may exist between physicians and patients (or parents of patients) during the consent-taking process, and this gap may be impacted by socio-demographic factors such as language and education level.

Tagline: Information Extraction for Semi-Structured Text Elements in Medical Progress Notes

ERIC Educational Resources Information Center

Finch, Dezon Kile

2012-01-01

Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in…

Handing Over and Letting Go: Using Online Continuing Medical Education in Teaching and Assessing Medical English Language and Communication Skills to Undergraduates

ERIC Educational Resources Information Center

Vekemans, Herlinda

2016-01-01

In the last few decades the medical community has increasingly underlined the necessity for medical students and healthcare professionals to acquire adequate and patient-friendly medical language and communication skills. Although teachers of foreign languages for medical purposes are usually not medically trained, their learners present them with…

Development of Markup Language for Medical Record Charting: A Charting Language.

PubMed

Jung, Won-Mo; Chae, Younbyoung; Jang, Bo-Hyoung

2015-01-01

Nowadays a lot of trials for collecting electronic medical records (EMRs) exist. However, structuring data format for EMR is an especially labour-intensive task for practitioners. Here we propose a new mark-up language for medical record charting (called Charting Language), which borrows useful properties from programming languages. Thus, with Charting Language, the text data described in dynamic situation can be easily used to extract information.

Medical Home Disparities for Latino Children by Parental Language of Interview

PubMed Central

DeCamp, Lisa Ross; Choi, Hwajung; Davis, Matthew M.

2015-01-01

Examination of Latino children in aggregate ignores important subgroup differences due to the parents’ English language ability. Previous reports of the pediatric medical home have not stratified Latino children by parental language differences to compare the two groups directly. We analyzed the 2007 National Survey of Children’s Health to determine medical home prevalence among Latino children, stratified by language of parental interview. Most Latino children with a Spanish-language parental interview had a usual source of care, but only one-quarter had a medical home. Striking medical home disparities persisted for Latino children with a Spanish-language interview, even after adjustment for potential confounders. Lack of a medical home was associated with disparities in the quality of care, more so than access disparities. Addressing health care disparities for Latino children requires particular attention to the unique needs of Latino children with parents who may experience language barriers during health care encounters. PMID:22080700

Parental language and dosing errors after discharge from the pediatric emergency department.

PubMed

Samuels-Kalow, Margaret E; Stack, Anne M; Porter, Stephen C

2013-09-01

Safe and effective care after discharge requires parental education in the pediatric emergency department (ED). Parent-provider communication may be more difficult with parents who have limited health literacy or English-language fluency. This study examined the relationship between language and discharge comprehension regarding medication dosing. We completed a prospective observational study of the ED discharge process using a convenience sample of English- and Spanish-speaking parents of children 2 to 24 months presenting to a single tertiary care pediatric ED with fever and/or respiratory illness. A bilingual research assistant interviewed parents to ascertain their primary language and health literacy and observed the discharge process. The primary outcome was parental demonstration of an incorrect dose of acetaminophen for the weight of his or her child. A total of 259 parent-child dyads were screened. There were 210 potential discharges, and 145 (69%) of 210 completed the postdischarge interview. Forty-six parents (32%) had an acetaminophen dosing error. Spanish-speaking parents were significantly more likely to have a dosing error (odds ratio, 3.7; 95% confidence interval, 1.6-8.1), even after adjustment for language of discharge, income, and parental health literacy (adjusted odds ratio, 6.7; 95% confidence interval, 1.4-31.7). Current ED discharge communication results in a significant disparity between English- and Spanish-speaking parents' comprehension of a crucial aspect of medication safety. These differences were not explained purely by interpretation, suggesting that interventions to improve comprehension must address factors beyond language alone.

A French-speaking speech-language pathology program in West Africa: transfer of training between Minority and Majority World countries.

PubMed

Topouzkhanian, Sylvia; Mijiyawa, Moustafa

2013-02-01

In West Africa, as in Majority World countries, people with a communication disability are generally cut-off from the normal development process. A long-term involvement of two partners (Orthophonistes du Monde and Handicap International) allowed the implementation in 2003 of the first speech-language pathology qualifying course in West Africa, within the Ecole Nationale des Auxiliaires Medicaux (ENAM, National School for Medical Auxiliaries) in Lome, Togo. It is a 3-year basic training (after the baccalaureate) in the only academic training centre for medical assistants in Togo. This department has a regional purpose and aims at training French-speaking African students. French speech-language pathology lecturers had to adapt their courses to the local realities they discovered in Togo. It was important to introduce and develop knowledge and skills in the students' system of reference. African speech-language pathologists have to face many challenges: creating an African speech and language therapy, introducing language disorders and their possible cure by means other than traditional therapies, and adapting all the evaluation tests and tools for speech-language pathology to each country, each culture, and each language. Creating an African speech-language pathology profession (according to its own standards) with a real influence in West Africa opens great opportunities for schooling and social and occupational integration of people with communication disabilities.

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

PubMed

Topac, Vasile; Jurcau, Daniel-Alexandru; Stoicu-Tivadar, Vasile

2015-01-01

Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical language used for the study are web pages presenting medical information for patients and other lay users. The results show that, in English, medical terminology tends to appear more in canonical form while, in the case of Romanian, it is the opposite. This paper also presents the service that was created to perform this analysis. This tool is available for the general public, and it is designed to be easily extensible, allowing the addition of other languages.

Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

PubMed

Fong, Allan; Harriott, Nicole; Walters, Donna M; Foley, Hanan; Morrissey, Richard; Ratwani, Raj R

2017-08-01

Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports. Natural language processing (NLP) experts collaborated with clinical experts on a patient safety committee to assist in the identification and analysis of medication related patient safety events. Different NLP algorithmic approaches were developed to identify four types of medication related patient safety events and the models were compared. Well performing NLP models were generated to categorize medication related events into pharmacy delivery delays, dispensing errors, Pyxis discrepancies, and prescriber errors with receiver operating characteristic areas under the curve of 0.96, 0.87, 0.96, and 0.81 respectively. We also found that modeling the brief without the resolution text generally improved model performance. These models were integrated into a dashboard visualization to support the patient safety committee review process. We demonstrate the capabilities of various NLP models and the use of two text inclusion strategies at categorizing medication related patient safety events. The NLP models and visualization could be used to improve the efficiency of patient safety event data review and analysis. Copyright © 2017 Elsevier B.V. All rights reserved.

21 CFR 801.16 - Medical devices; Spanish-language version of certain required statements.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Medical devices; Spanish-language version of....16 Medical devices; Spanish-language version of certain required statements. If devices restricted to... Spanish is the predominant language, such labeling is authorized under § 801.15(c). ...

Assessment of Individuals with Primary Progressive Aphasia.

PubMed

Henry, Maya L; Grasso, Stephanie M

2018-07-01

Speech-language pathologists play a crucial role in the assessment and treatment of individuals with primary progressive aphasia (PPA). The speech-language evaluation is a critical aspect of the diagnostic and rehabilitative process, informing differential diagnosis as well as intervention planning and monitoring of cognitive-linguistic status over time. The evaluation should include a thorough case history and interview and a detailed assessment of speech-language and cognitive functions, with tasks designed to detect core and associated deficits outlined in current diagnostic criteria. In this paper, we review assessments that can be utilized to examine communication and cognition in PPA, including general aphasia batteries designed for stroke and/or progressive aphasia as well as tests of specific cognitive-linguistic functions, including naming, object/person knowledge, single-word and sentence comprehension, repetition, spontaneous speech/language production, motor speech, written language, and nonlinguistic cognitive domains. The comprehensive evaluation can inform diagnostic decision making and facilitate planning of interventions that are tailored to the patient's current status and likely progression of deficits. As such, the speech-language evaluation allows the medical team to provide individuals with PPA and their families with appropriate recommendations for the present and the future. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

["Linguistitis" of medical terminology (II). Language-policy and questions from a perspective of younger physicians].

PubMed

Høy, A

1996-12-02

In a previous article in the Journal of the Danish Medical Association, "Medical Terminology Linguistitis (I)", the author pointed out the importance of involving the users in connection with the definition of a language policy concerning Danish medical terminology and future medical doctors' need for language proficiency. A recent inquiry, involving 11 medical doctors (Ph.D. students), suggests that there is in fact a need for a language policy. Also, the respondents expressed strong antipathy against a full nationalization of the terms which can in some cases be observed in the Danish version of ICD-10. On the basis of this survey, the following questions are discussed in this article: Future medical doctors' need for knowledge of Latin and English, medical doctors' opinions concerning a terminology based on Latin, or Danish, and some important aspects concerning the definition of a language policy in the medical area.

The use of natural language processing on narrative medication schedules to compute average weekly dose.

PubMed

Lu, Chao-Chin; Leng, Jianwei; Cannon, Grant W; Zhou, Xi; Egger, Marlene; South, Brett; Burningham, Zach; Zeng, Qing; Sauer, Brian C

2016-12-01

Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy dispensing data. A natural language processing tool named the SIG extractor was developed to identify and extract elements from narrative medication instructions to compute average weekly doses (AWDs) for disease-modifying antirheumatic drugs. The goal of this paper is to evaluate the performance of the SIG extractor. This agreement study utilized Veterans Health Affairs pharmacy data from 2008 to 2012. The SIG extractor was designed to extract key elements from narrative medication schedules (SIGs) for 17 select medications to calculate AWD, and these medications were categorized by generic name and route of administration. The SIG extractor was evaluated against an annotator-derived reference standard for accuracy, which is the fraction of AWDs accurately computed. The overall accuracy was 89% [95% confidence interval (CI) 88%, 90%]. The accuracy was ≥85% for all medications and route combinations, except for cyclophosphamide (oral) and cyclosporine (oral), which were 79% (95%CI 72%, 85%) and 66% (95%CI 58%, 73%), respectively. The SIG extractor performed well on the majority of medications, indicating that AWD calculated by the SIG extractor can be used to improve estimation of AWD when dispensed quantity or days' supply is questionable or improbable. The working model for annotating SIGs and the SIG extractor are generalized and can easily be applied to other medications. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Language translation challenges with Arabic speakers participating in qualitative research studies.

PubMed

Al-Amer, Rasmieh; Ramjan, Lucie; Glew, Paul; Darwish, Maram; Salamonson, Yenna

2016-02-01

This paper discusses how a research team negotiated the challenges of language differences in a qualitative study that involved two languages. The lead researcher shared the participants' language and culture, and the interviews were conducted using the Arabic language as a source language, which was then translated and disseminated in the English language (target language). The challenges in relation to translation in cross-cultural research were highlighted from a perspective of establishing meaning as a vital issue in qualitative research. The paper draws on insights gained from a study undertaken among Arabic-speaking participants involving the use of in-depth semi-structured interviews. The study was undertaken using a purposive sample of 15 participants with Type 2 Diabetes Mellitus and co-existing depression and explored their perception of self-care management behaviours. Data analysis was performed in two phases. The first phase entailed translation and transcription of the data, and the second phase entailed thematic analysis of the data to develop categories and themes. In this paper there is discussion on the translation process and its inherent challenges. As translation is an interpretive process and not merely a direct message transfer from a source language to a target language, translators need to systematically and accurately capture the full meaning of the spoken language. This discussion paper highlights difficulties in the translation process, specifically in managing data in relation to metaphors, medical terminology and connotation of the text, and importantly, preserving the meaning between the original and translated data. Recommendations for future qualitative studies involving interviews with non-English speaking participants are outlined, which may assist researchers maintain the integrity of the data throughout the translation process. Copyright © 2015 Elsevier Ltd. All rights reserved.

Revisiting "The fertilization fairytale:" an analysis of gendered language used to describe fertilization in science textbooks from middle school to medical school

NASA Astrophysics Data System (ADS)

Campo-Engelstein, Lisa; Johnson, Nadia L.

2014-03-01

Emily Martin's (Signs J Women Cult Soc 16(31):485-501, 1991) article, "The Egg and the Sperm: How Science Has Constructed a Romance Based on Stereotypical Male-Female Roles," was published in Signs over 20 years ago. In this groundbreaking article, she discusses how gender roles are often projected onto reproductive biology, leading to the portrayal of eggs as passive and sperm as active. We were interested in seeing if many of her findings are still relevant today. We analyzed science textbooks from the middle school to the medical school level to determine if fertilization in human reproduction is described in gender-biased language regarding the sentence structure, amount of information provided for female and male processes/parts, and neutrality in describing female and male processes/parts. Although there has been much improvement, there is still a long way to go. Sexist language in scientific textbooks is troubling because it negatively affects both female and male students and undermines teachers' ability to teach in an accurate and gender-neutral way.

Unified modeling language and design of a case-based retrieval system in medical imaging.

PubMed Central

LeBozec, C.; Jaulent, M. C.; Zapletal, E.; Degoulet, P.

1998-01-01

One goal of artificial intelligence research into case-based reasoning (CBR) systems is to develop approaches for designing useful and practical interactive case-based environments. Explaining each step of the design of the case-base and of the retrieval process is critical for the application of case-based systems to the real world. We describe herein our approach to the design of IDEM--Images and Diagnosis from Examples in Medicine--a medical image case-based retrieval system for pathologists. Our approach is based on the expressiveness of an object-oriented modeling language standard: the Unified Modeling Language (UML). We created a set of diagrams in UML notation illustrating the steps of the CBR methodology we used. The key aspect of this approach was selecting the relevant objects of the system according to user requirements and making visualization of cases and of the components of the case retrieval process. Further evaluation of the expressiveness of the design document is required but UML seems to be a promising formalism, improving the communication between the developers and users. Images Figure 6 Figure 7 PMID:9929346

Unified modeling language and design of a case-based retrieval system in medical imaging.

PubMed

LeBozec, C; Jaulent, M C; Zapletal, E; Degoulet, P

1998-01-01

One goal of artificial intelligence research into case-based reasoning (CBR) systems is to develop approaches for designing useful and practical interactive case-based environments. Explaining each step of the design of the case-base and of the retrieval process is critical for the application of case-based systems to the real world. We describe herein our approach to the design of IDEM--Images and Diagnosis from Examples in Medicine--a medical image case-based retrieval system for pathologists. Our approach is based on the expressiveness of an object-oriented modeling language standard: the Unified Modeling Language (UML). We created a set of diagrams in UML notation illustrating the steps of the CBR methodology we used. The key aspect of this approach was selecting the relevant objects of the system according to user requirements and making visualization of cases and of the components of the case retrieval process. Further evaluation of the expressiveness of the design document is required but UML seems to be a promising formalism, improving the communication between the developers and users.

Language-Specific Attention Treatment for Aphasia: Description and Preliminary Findings.

PubMed

Peach, Richard K; Nathan, Meghana R; Beck, Katherine M

2017-02-01

The need for a specific, language-based treatment approach to aphasic impairments associated with attentional deficits is well documented. We describe language-specific attention treatment, a specific skill-based approach for aphasia that exploits increasingly complex linguistic tasks that focus attention. The program consists of eight tasks, some with multiple phases, to assess and treat lexical and sentence processing. Validation results demonstrate that these tasks load on six attentional domains: (1) executive attention; (2) attentional switching; (3) visual selective attention/processing speed; (4) sustained attention; (5) auditory-verbal working memory; and (6) auditory processing speed. The program demonstrates excellent inter- and intrarater reliability and adequate test-retest reliability. Two of four people with aphasia exposed to this program demonstrated good language recovery whereas three of the four participants showed improvements in auditory-verbal working memory. The results provide support for this treatment program in patients with aphasia having no greater than a moderate degree of attentional impairment. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Using standardized patients to assess communication skills in medical and nursing students.

PubMed

Ryan, C Anthony; Walshe, Nuala; Gaffney, Robert; Shanks, Andrew; Burgoyne, Louise; Wiskin, Connie M

2010-03-17

A number of recent developments in medical and nursing education have highlighted the importance of communication and consultation skills (CCS). Although such skills are taught in all medical and nursing undergraduate curriculums, there is no comprehensive screening or assessment programme of CCS using professionally trained Standardized Patients Educators (SPE's) in Ireland. This study was designed to test the content, process and acceptability of a screening programme in CCS with Irish medical and nursing students using trained SPE's and a previously validated global rating scale for CCS. Eight tutors from the Schools of Nursing and Medicine at University College Cork were trained in the use of a validated communication skills and attitudes holistic assessment tool. A total of forty six medical students (Year 2 of 5) and sixty four nursing students (Year 2/3 of 4) were selected to under go individual CCS assessment by the tutors via an SPE led scenario. Immediate formative feedback was provided by the SPE's for the students. Students who did not pass the assessment were referred for remediation CCS learning. Almost three quarters of medical students (33/46; 72%) and 81% of nursing students (56/64) passed the CCS assessment in both communication and attitudes categories. All nursing students had English as their first language. Nine of thirteen medical students referred for enhanced learning in CCS did not have English as their first language. A significant proportion of both medical and nursing students required referral for enhanced training in CCS. Medical students requiring enhanced training were more likely not to have English as a first language.

LSTM-CRF | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

LSTM-CRF uses Natural Language Processing methods for detecting Adverse Drug Events, Drugname, Indication and other medically relevant information from Electronic Health Records. It implements Recurrent Neural Networks using several CRF based inference methods.

Constructing Language Normativity through the Animation of Stance in Spanish Language Medical Consultations

PubMed Central

Vickers, Caroline H.; Deckert, Sharon K.; Goble, Ryan

2013-01-01

The purpose of this study is to examine the construction of language normativity as medical providers interact with patients and animate stance within Spanish language medical consultations. The context of the study is a clinic in which providers use Spanish to communicate with monolingual Spanish-speaking patients. This clinic is in the United States, an English-speaking macro-societal context. Findings indicate that providers who are second language users of Spanish animate stance and interact with patients in ways that English is constructed as normative and Spanish as marked. Implications include the need to consider how the construction of language normativity within medical consultations affects health outcomes. PMID:24156518

Subthalamic nucleus deep brain stimulation impacts language in early Parkinson's disease.

PubMed

Phillips, Lara; Litcofsky, Kaitlyn A; Pelster, Michael; Gelfand, Matthew; Ullman, Michael T; Charles, P David

2012-01-01

Although deep brain stimulation (DBS) of the basal ganglia improves motor outcomes in Parkinson's disease (PD), its effects on cognition, including language, remain unclear. This study examined the impact of subthalamic nucleus (STN) DBS on two fundamental capacities of language, grammatical and lexical functions. These functions were tested with the production of regular and irregular past-tenses, which contrast aspects of grammatical (regulars) and lexical (irregulars) processing while controlling for multiple potentially confounding factors. Aspects of the motor system were tested by contrasting the naming of manipulated (motor) and non-manipulated (non-motor) objects. Performance was compared between healthy controls and early-stage PD patients treated with either DBS/medications or medications alone. Patients were assessed on and off treatment, with controls following a parallel testing schedule. STN-DBS improved naming of manipulated (motor) but not non-manipulated (non-motor) objects, as compared to both controls and patients with just medications, who did not differ from each other across assessment sessions. In contrast, STN-DBS led to worse performance at regulars (grammar) but not irregulars (lexicon), as compared to the other two subject groups, who again did not differ. The results suggest that STN-DBS negatively impacts language in early PD, but may be specific in depressing aspects of grammatical and not lexical processing. The finding that STN-DBS affects both motor and grammar (but not lexical) functions strengthens the view that both depend on basal ganglia circuitry, although the mechanisms for its differential impact on the two (improved motor, impaired grammar) remain to be elucidated.

Subthalamic Nucleus Deep Brain Stimulation Impacts Language in Early Parkinson's Disease

PubMed Central

Phillips, Lara; Litcofsky, Kaitlyn A.; Pelster, Michael; Gelfand, Matthew

2012-01-01

Although deep brain stimulation (DBS) of the basal ganglia improves motor outcomes in Parkinson's disease (PD), its effects on cognition, including language, remain unclear. This study examined the impact of subthalamic nucleus (STN) DBS on two fundamental capacities of language, grammatical and lexical functions. These functions were tested with the production of regular and irregular past-tenses, which contrast aspects of grammatical (regulars) and lexical (irregulars) processing while controlling for multiple potentially confounding factors. Aspects of the motor system were tested by contrasting the naming of manipulated (motor) and non-manipulated (non-motor) objects. Performance was compared between healthy controls and early-stage PD patients treated with either DBS/medications or medications alone. Patients were assessed on and off treatment, with controls following a parallel testing schedule. STN-DBS improved naming of manipulated (motor) but not non-manipulated (non-motor) objects, as compared to both controls and patients with just medications, who did not differ from each other across assessment sessions. In contrast, STN-DBS led to worse performance at regulars (grammar) but not irregulars (lexicon), as compared to the other two subject groups, who again did not differ. The results suggest that STN-DBS negatively impacts language in early PD, but may be specific in depressing aspects of grammatical and not lexical processing. The finding that STN-DBS affects both motor and grammar (but not lexical) functions strengthens the view that both depend on basal ganglia circuitry, although the mechanisms for its differential impact on the two (improved motor, impaired grammar) remain to be elucidated. PMID:22880117

ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.

PubMed

Storck, Michael; Krumm, Rainer; Dugas, Martin

2016-01-01

Medical documentation is applied in various settings including patient care and clinical research. Since procedures of medical documentation are heterogeneous and developed further, secondary use of medical data is complicated. Development of medical forms, merging of data from different sources and meta-analyses of different data sets are currently a predominantly manual process and therefore difficult and cumbersome. Available applications to automate these processes are limited. In particular, tools to compare multiple documentation forms are missing. The objective of this work is to design, implement and evaluate the new system ODMSummary for comparison of multiple forms with a high number of semantically annotated data elements and a high level of usability. System requirements are the capability to summarize and compare a set of forms, enable to estimate the documentation effort, track changes in different versions of forms and find comparable items in different forms. Forms are provided in Operational Data Model format with semantic annotations from the Unified Medical Language System. 12 medical experts were invited to participate in a 3-phase evaluation of the tool regarding usability. ODMSummary (available at https://odmtoolbox.uni-muenster.de/summary/summary.html) provides a structured overview of multiple forms and their documentation fields. This comparison enables medical experts to assess multiple forms or whole datasets for secondary use. System usability was optimized based on expert feedback. The evaluation demonstrates that feedback from domain experts is needed to identify usability issues. In conclusion, this work shows that automatic comparison of multiple forms is feasible and the results are usable for medical experts.

SHRIF, a General-Purpose System for Heuristic Retrieval of Information and Facts, Applied to Medical Knowledge Processing.

ERIC Educational Resources Information Center

Findler, Nicholas V.; And Others

1992-01-01

Describes SHRIF, a System for Heuristic Retrieval of Information and Facts, and the medical knowledge base that was used in its development. Highlights include design decisions; the user-machine interface, including the language processor; and the organization of the knowledge base in an artificial intelligence (AI) project like this one. (57…

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.

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.

Sleep Disorders as a Risk to Language Learning and Use.

PubMed

McGregor, Karla K; Alper, Rebecca M

2015-05-01

Are people with sleep disorders at higher risk for language learning deficits than healthy sleepers? Scoping Review. PubMed, Google Scholar, Trip Database, ClinicalTrials.gov. sleep disorders AND language AND learning; sleep disorders language learning -deprivation -epilepsy; sleep disorders AND verbal learning. 36. Children and adults with sleep disorders were at a higher risk for language problems than healthy sleepers. The language problems typically co-occurred with problems of attention and executive function (in children and adults), behavior (in children), and visual-spatial processing (in adults). Effects were typically small. Language problems seldom rose to a level of clinical concern but there were exceptions involving phonological deficits in children with sleep-disordered breathing and verbal memory deficits among adults with sleep-disordered breathing or idiopathic REM sleep behavior disorder. Case history interviews should include questions about limited sleep, poor-quality sleep, snoring, and excessive daytime sleepiness. Medical referrals for clients with suspected sleep disorders are prudent.

Client-side Medical Image Colorization in a Collaborative Environment.

PubMed

Virag, Ioan; Stoicu-Tivadar, Lăcrămioara; Crişan-Vida, Mihaela

2015-01-01

The paper presents an application related to collaborative medicine using a browser based medical visualization system with focus on the medical image colorization process and the underlying open source web development technologies involved. Browser based systems allow physicians to share medical data with their remotely located counterparts or medical students, assisting them during patient diagnosis, treatment monitoring, surgery planning or for educational purposes. This approach brings forth the advantage of ubiquity. The system can be accessed from a any device, in order to process the images, assuring the independence towards having a specific proprietary operating system. The current work starts with processing of DICOM (Digital Imaging and Communications in Medicine) files and ends with the rendering of the resulting bitmap images on a HTML5 (fifth revision of the HyperText Markup Language) canvas element. The application improves the image visualization emphasizing different tissue densities.

Creating opportunities for interdisciplinary collaboration and patient-centred care: how nurses, doctors, pharmacists and patients use communication strategies when managing medications in an acute hospital setting.

PubMed

Liu, Wei; Gerdtz, Marie; Manias, Elizabeth

2016-10-01

This paper examines the communication strategies that nurses, doctors, pharmacists and patients use when managing medications. Patient-centred medication management is best accomplished through interdisciplinary practice. Effective communication about managing medications between clinicians and patients has a direct influence on patient outcomes. There is a lack of research that adopts a multidisciplinary approach and involves critical in-depth analysis of medication interactions among nurses, doctors, pharmacists and patients. A critical ethnographic approach with video reflexivity was adopted to capture communication strategies during medication activities in two general medical wards of an acute care hospital in Melbourne, Australia. A mixed ethnographic approach combining participant observations, field interviews, video recordings and video reflexive focus groups and interviews was employed. Seventy-six nurses, 31 doctors, 1 pharmacist and 27 patients gave written consent to participate in the study. Data analysis was informed by Fairclough's critical discourse analytic framework. Clinicians' use of communication strategies was demonstrated in their interpersonal, authoritative and instructive talk with patients. Doctors adopted the language discourse of normalisation to standardise patients' illness experiences. Nurses and pharmacists employed the language discourses of preparedness and scrutiny to ensure that patient safety was maintained. Patients took up the discourse of politeness to raise medication concerns and question treatment decisions made by doctors, in their attempts to challenge decision-making about their health care treatment. In addition, the video method revealed clinicians' extensive use of body language in communication processes for medication management. The use of communication strategies by nurses, doctors, pharmacists and patients created opportunities for improved interdisciplinary collaboration and patient-centred medication management in an acute hospital setting. Language discourses shaped and were shaped by complex power relations between patients and clinicians and among clinicians themselves. Clinicians need to be encouraged to have regular conversations to talk about and challenge each other's practices. More emphasis should be placed on ensuring that patients are given opportunities to voice their concerns about how their medications are managed. © 2016 John Wiley & Sons Ltd.

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.

PubMed

Sung, Sheng-Feng; Chen, Kuanchin; Wu, Darren Philbert; Hung, Ling-Chien; Su, Yu-Hsiang; Hu, Ya-Han

2018-04-01

To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techniques. The information processing algorithm utilized MetaMap to extract medical concepts from IVT eligibility criteria and expanded the concepts using the Unified Medical Language System Metathesaurus. Concepts identified from clinical notes by MetaMap were compared to those from IVT eligibility criteria. The task-specific EMR interface displays IVT-relevant information by highlighting phrases that contain matched concepts. Clinical usability was assessed with clinicians staffing the acute stroke team by comparing user performance while using the task-specific and the current EMR interfaces. The algorithm identified IVT-relevant concepts with micro-averaged precisions, recalls, and F1 measures of 0.998, 0.812, and 0.895 at the phrase level and of 1, 0.972, and 0.986 at the document level. Users using the task-specific interface achieved a higher accuracy score than those using the current interface (91% versus 80%, p = 0.016) in assessing the IVT eligibility criteria. The completion time between the interfaces was statistically similar (2.46 min versus 1.70 min, p = 0.754). Although the information processing algorithm had room for improvement, the task-specific EMR interface significantly reduced errors in assessing IVT eligibility criteria. The study findings provide evidence to support an NLP enhanced EMR system to facilitate IVT decision-making by presenting meaningful and timely information to clinicians, thereby offering a new avenue for improvements in acute stroke care. Copyright © 2018 Elsevier B.V. All rights reserved.

The Diagnosis and Management of Auditory Processing Disorder

ERIC Educational Resources Information Center

Moore, David R.

2011-01-01

Purpose: To provide a personal perspective on auditory processing disorder (APD), with reference to the recent clinical forum on APD and the needs of clinical speech-language pathologists and audiologists. Method: The Medical Research Council-Institute of Hearing Research (MRC-IHR) has been engaged in research into APD and auditory learning for 8…

[Medical expert assessment in criminal processes from the legal viewpoint].

PubMed

Ulsenheimer, K

1996-11-01

In the area of medical professional blunder, the medical expert witness is the one participant in a trial whose statement is practically decisive for the court or the prosecutor. Legally, the responsibility remains naturally in the legal hand as the expert witness is only the assistant of the judge. The most important demands on the expert witness are strict objectiveness including towards the colleague, no independent inquiries or interrogations, comprehensive processing of the expert assessment, readiness to revise a written expert assessment according to better knowledge or new facts, independence from the client, no legal comments, clarity of language and intellectual honesty.

Putting the Plain into Pain Language in English for Medical Purposes: Learner Inquiry into Patients' Online Descriptive Accounts

ERIC Educational Resources Information Center

Plastina, Anna Franca

2016-01-01

The need to teach medical students plain language for their future engagement in pain communication can no longer be underestimated. Pain education has traditionally neglected the teaching of pain language, yet patients' descriptive accounts have been acknowledged as the standard in medical care. English for Medical Purposes (EMP) can make its…

A bibliometric analysis of natural language processing in medical research.

PubMed

Chen, Xieling; Xie, Haoran; Wang, Fu Lee; Liu, Ziqing; Xu, Juan; Hao, Tianyong

2018-03-22

Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance to conduct a deep analysis to understand the recent development of NLP-empowered medical research field. However, limited study examining the research status of this field could be found. Therefore, this study aims to quantitatively assess the academic output of NLP in medical research field. We conducted a bibliometric analysis on NLP-empowered medical research publications retrieved from PubMed in the period 2007-2016. The analysis focused on three aspects. Firstly, the literature distribution characteristics were obtained with a statistics analysis method. Secondly, a network analysis method was used to reveal scientific collaboration relations. Finally, thematic discovery and evolution was reflected using an affinity propagation clustering method. There were 1405 NLP-empowered medical research publications published during the 10 years with an average annual growth rate of 18.39%. 10 most productive publication sources together contributed more than 50% of the total publications. The USA had the highest number of publications. A moderately significant correlation between country's publications and GDP per capita was revealed. Denny, Joshua C was the most productive author. Mayo Clinic was the most productive affiliation. The annual co-affiliation and co-country rates reached 64.04% and 15.79% in 2016, respectively. 10 main great thematic areas were identified including Computational biology, Terminology mining, Information extraction, Text classification, Social medium as data source, Information retrieval, etc. CONCLUSIONS: A bibliometric analysis of NLP-empowered medical research publications for uncovering the recent research status is presented. The results can assist relevant researchers, especially newcomers in understanding the research development systematically, seeking scientific cooperation partners, optimizing research topic choices and monitoring new scientific or technological activities.

Short-Term Memory and Aphasia: From Theory to Treatment.

PubMed

Minkina, Irene; Rosenberg, Samantha; Kalinyak-Fliszar, Michelene; Martin, Nadine

2017-02-01

This article reviews existing research on the interactions between verbal short-term memory and language processing impairments in aphasia. Theoretical models of short-term memory are reviewed, starting with a model assuming a separation between short-term memory and language, and progressing to models that view verbal short-term memory as a cognitive requirement of language processing. The review highlights a verbal short-term memory model derived from an interactive activation model of word retrieval. This model holds that verbal short-term memory encompasses the temporary activation of linguistic knowledge (e.g., semantic, lexical, and phonological features) during language production and comprehension tasks. Empirical evidence supporting this model, which views short-term memory in the context of the processes it subserves, is outlined. Studies that use a classic measure of verbal short-term memory (i.e., number of words/digits correctly recalled in immediate serial recall) as well as those that use more intricate measures (e.g., serial position effects in immediate serial recall) are discussed. Treatment research that uses verbal short-term memory tasks in an attempt to improve language processing is then summarized, with a particular focus on word retrieval. A discussion of the limitations of current research and possible future directions concludes the review. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

AphasiaBank: a resource for clinicians.

PubMed

Forbes, Margaret M; Fromm, Davida; Macwhinney, Brian

2012-08-01

AphasiaBank is a shared, multimedia database containing videos and transcriptions of ~180 aphasic individuals and 140 nonaphasic controls performing a uniform set of discourse tasks. The language in the videos is transcribed in Codes for the Human Analysis of Transcripts (CHAT) format and coded for analysis with Computerized Language ANalysis (CLAN) programs, which can perform a wide variety of language analyses. The database and the CLAN programs are freely available to aphasia researchers and clinicians for educational, clinical, and scholarly uses. This article describes the database, suggests some ways in which clinicians and clinician researchers might find these materials useful, and introduces a new language analysis program, EVAL, designed to streamline the transcription and coding processes, while still producing an extensive and useful language profile. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Boot camp translation: a method for building a community of solution.

PubMed

Norman, Ned; Bennett, Chris; Cowart, Shirley; Felzien, Maret; Flores, Martha; Flores, Rafael; Haynes, Connie; Hernandez, Mike; Rodriquez, Mary Petra; Sanchez, Norah; Sanchez, Sergio; Winkelman, Kathy; Winkelman, Steve; Zittleman, Linda; Westfall, John M

2013-01-01

A crucial yet currently insufficient step in biomedical research is the translation of scientific, evidence-based guidelines and recommendations into constructs and language accessible to every-day patients. By building a community of solution that integrates primary care with public health and community-based organizations, evidence-based medical care can be translated into language and constructs accessible to community members and readily implemented to improve health. Using a community-based participatory research approach, the High Plains Research Network (HPRN) and its Community Advisory Council developed a process to translate evidence into messages and dissemination methods to improve health in rural Colorado. This process, called Boot Camp Translation, has brought together various community members, organizations, and primary care practices to build a community of solution to address local health problems. The HPRN has conducted 4 Boot Camp Translations on topics including colon cancer prevention, asthma diagnosis and management, hypertension, and the patient-centered medical home. Thus far, the HPRN has used Boot Camp Translations to engage more than 1000 rural community members and providers. Dissemination of boot camp messaging through the community of solution has led to increased colon cancer screening, improved care for asthma, and increased rates of controlled blood pressure. Boot Camp Translation successfully engages community members in a process to translate evidence-based medical care into locally relevant and culturally appropriate language and constructs. Boot Camp Translation is an appropriate method for engaging community members in patient-centered outcomes research and may be an appropriate first step in building a local or regional community of solution.

Towards a Semantic Lexicon for Biological Language Processing

DOE PAGES

Verspoor, Karin

2005-01-01

This paper explores the use of the resources in the National Library of Medicine's Unified Medical Language System (UMLS) for the construction of a lexicon useful for processing texts in the field of molecular biology. A lexicon is constructed from overlapping terms in the UMLS SPECIALIST lexicon and the UMLS Metathesaurus to obtain both morphosyntactic and semantic information for terms, and the coverage of a domain corpus is assessed. Over 77% of tokens in the domain corpus are found in the constructed lexicon, validating the lexicon's coverage of the most frequent terms in the domain and indicating that the constructedmore » lexicon is potentially an important resource for biological text processing.« less

Interpreting Hypernymic Propositions in an Online Medical Encyclopedia

PubMed Central

Fiszman, Marcelo; Rindflesch, Thomas C.; Kilicoglu, Halil

2003-01-01

Interpretation of semantic propositions from biomedical texts documents would provide valuable support to natural language processing (NLP) applications. We are developing a methodology to interpret a kind of semantic proposition, the hypernymic proposition, in MEDLINE abstracts. In this paper, we expanded the system to identify these structures in a different discourse domain: the Medical Encyclopedia from the National Library of Medicine’s MEDLINEplus® Website. PMID:14728345

Overcoming Terminology Barrier Using Web Resources for Cross-Language Medical Information Retrieval

PubMed Central

Lu, Wen-Hsiang; Lin, Ray Shih-Jui; Chan, Yi-Che; Chen, Kuan-Hsi

2006-01-01

A number of authoritative medical websites, such as PubMed and MedlinePlus, provide consumers with the most up-to-date health information. However, non-English speakers often encounter not only language barriers (from other languages to English) but also terminology barriers (from laypersons’ terms to professional medical terms) when retrieving information from these websites. Our previous work addresses language barriers by developing a multilingual medical thesaurus, Chinese-English MeSH, while this study presents an approach to overcome terminology barriers based on Web resources. Two techniques were utilized in our approach: monolingual concept mapping using approximate string matching and crosslingual concept mapping using Web resources. The evaluation shows that our approach can significantly improve the performance on MeSH concept mapping and cross-language medical information retrieval. PMID:17238395

Translating medical documents into plain language enhances communication skills in medical students--A pilot study.

PubMed

Bittner, Anja; Jonietz, Ansgar; Bittner, Johannes; Beickert, Luise; Harendza, Sigrid

2015-09-01

To train and assess undergraduate medical students' written communication skills by exercises in translating medical reports into plain language for real patients. 27 medical students participated in a newly developed communication course. They attended a 3-h seminar including a briefing on patient-centered communication and an introduction to working with the internet platform http://washabich.de. In the following ten weeks, participants "translated" one medical report every fortnight on this platform receiving feedback by a near-peer supervisor. A pre- and post-course assignment consisted of a self-assessment questionnaire on communication skills, analysis of a medical text with respect to medical jargon, and the translation of a medical report into plain language. In the self-assessment, students rated themselves in most aspects of patient-centered communication significantly higher after attending the course. After the course they marked significantly more medical jargon terms correctly than before (p<0.001). In a written plain language translation of a medical report they scored significantly higher with respect to communicative aspects (p<0.05) and medical correctness (p<0.001). Translating medical reports into plain language under near-peer supervision is associated with improved communication skills and medical knowledge in undergraduate medical students. To include translation exercises in the undergraduate medical curriculum. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Twelve tips for effective body language for medical educators.

PubMed

Hale, Andrew J; Freed, Jason; Ricotta, Daniel; Farris, Grace; Smith, C Christopher

2017-09-01

A significant proportion of human communication is nonverbal. Although the fields of business and psychology have significant literature on effectively using body language in a variety of situations, there is limited literature on effective body language for medical educators. To provide 12 tips to highlight effective body language strategies and techniques for medical educators. The tips provided are based on our experiences and reflections as clinician-educators and the available literature. The 12 tips presented offer specific strategies to engage learners, balance learner participation, and bring energy and passion to teaching. Medical educators seeking to maximize their effectiveness would benefit from an understanding of how body language affects a learning environment and how body language techniques can be used to engage audiences, maintain attention, control challenging learners, and convey passion for a topic. Understanding and using body language effectively is an important instructional skill.

ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System

PubMed Central

Krumm, Rainer; Dugas, Martin

2016-01-01

Introduction Medical documentation is applied in various settings including patient care and clinical research. Since procedures of medical documentation are heterogeneous and developed further, secondary use of medical data is complicated. Development of medical forms, merging of data from different sources and meta-analyses of different data sets are currently a predominantly manual process and therefore difficult and cumbersome. Available applications to automate these processes are limited. In particular, tools to compare multiple documentation forms are missing. The objective of this work is to design, implement and evaluate the new system ODMSummary for comparison of multiple forms with a high number of semantically annotated data elements and a high level of usability. Methods System requirements are the capability to summarize and compare a set of forms, enable to estimate the documentation effort, track changes in different versions of forms and find comparable items in different forms. Forms are provided in Operational Data Model format with semantic annotations from the Unified Medical Language System. 12 medical experts were invited to participate in a 3-phase evaluation of the tool regarding usability. Results ODMSummary (available at https://odmtoolbox.uni-muenster.de/summary/summary.html) provides a structured overview of multiple forms and their documentation fields. This comparison enables medical experts to assess multiple forms or whole datasets for secondary use. System usability was optimized based on expert feedback. Discussion The evaluation demonstrates that feedback from domain experts is needed to identify usability issues. In conclusion, this work shows that automatic comparison of multiple forms is feasible and the results are usable for medical experts. PMID:27736972

Studying Associations Between Heart Failure Self-Management and Rehospitalizations Using Natural Language Processing.

PubMed

Topaz, Maxim; Radhakrishnan, Kavita; Blackley, Suzanne; Lei, Victor; Lai, Kenneth; Zhou, Li

2016-09-14

This study developed an innovative natural language processing algorithm to automatically identify heart failure (HF) patients with ineffective self-management status (in the domains of diet, physical activity, medication adherence, and adherence to clinician appointments) from narrative discharge summary notes. We also analyzed the association between self-management status and preventable 30-day hospital readmissions. Our natural language system achieved relatively high accuracy (F-measure = 86.3%; precision = 95%; recall = 79.2%) on a testing sample of 300 notes annotated by two human reviewers. In a sample of 8,901 HF patients admitted to our healthcare system, 14.4% (n = 1,282) had documentation of ineffective HF self-management. Adjusted regression analyses indicated that presence of any skill-related self-management deficit (odds ratio [OR] = 1.3, 95% confidence interval [CI] = [1.1, 1.6]) and non-specific ineffective self-management (OR = 1.5, 95% CI = [1.2, 2]) was significantly associated with readmissions. We have demonstrated the feasibility of identifying ineffective HF self-management from electronic discharge summaries with natural language processing. © The Author(s) 2016.

Creating a medical English-Swedish dictionary using interactive word alignment.

PubMed

Nyström, Mikael; Merkel, Magnus; Ahrenberg, Lars; Zweigenbaum, Pierre; Petersson, Håkan; Ahlfeldt, Hans

2006-10-12

This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medical terminology. The methods presented are relevant for many other West European language pairs than English-Swedish. The medical terminology systems were collected in electronic format in both English and Swedish and the rubrics were extracted in parallel language pairs. Initially, interactive word alignment was used to create training data from a sample. Then the training data were utilised in automatic word alignment in order to generate candidate term pairs. The last step was manual verification of the term pair candidates. A dictionary of 31,000 verified entries has been created in less than three man weeks, thus with considerably less time and effort needed compared to a manual approach, and without compromising quality. As a side effect of our work we found 40 different translation problems in the terminology systems and these results indicate the power of the method for finding inconsistencies in terminology translations. We also report on some factors that may contribute to making the process of dictionary creation with similar tools even more expedient. Finally, the contribution is discussed in relation to other ongoing efforts in constructing medical lexicons for non-English languages. In three man weeks we were able to produce a medical English-Swedish dictionary consisting of 31,000 entries and also found hidden translation errors in the utilized medical terminology systems.

Creating a medical English-Swedish dictionary using interactive word alignment

PubMed Central

Nyström, Mikael; Merkel, Magnus; Ahrenberg, Lars; Zweigenbaum, Pierre; Petersson, Håkan; Åhlfeldt, Hans

2006-01-01

Background This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medical terminology. The methods presented are relevant for many other West European language pairs than English-Swedish. Methods The medical terminology systems were collected in electronic format in both English and Swedish and the rubrics were extracted in parallel language pairs. Initially, interactive word alignment was used to create training data from a sample. Then the training data were utilised in automatic word alignment in order to generate candidate term pairs. The last step was manual verification of the term pair candidates. Results A dictionary of 31,000 verified entries has been created in less than three man weeks, thus with considerably less time and effort needed compared to a manual approach, and without compromising quality. As a side effect of our work we found 40 different translation problems in the terminology systems and these results indicate the power of the method for finding inconsistencies in terminology translations. We also report on some factors that may contribute to making the process of dictionary creation with similar tools even more expedient. Finally, the contribution is discussed in relation to other ongoing efforts in constructing medical lexicons for non-English languages. Conclusion In three man weeks we were able to produce a medical English-Swedish dictionary consisting of 31,000 entries and also found hidden translation errors in the utilized medical terminology systems. PMID:17034649

Language barriers and professional identity: A qualitative interview study of newly employed international medical doctors and Norwegian colleagues.

PubMed

Skjeggestad, Erik; Gerwing, Jennifer; Gulbrandsen, Pål

2017-08-01

To explore how language barriers influence communication and collaboration between newly-employed international medical doctors and Norwegian health personnel. Interviews were conducted with 16 doctors who had recently started working in Norway and 12 Norwegian born health personnel who had extensive experience working with international medical doctors. Analyses were consistent with principles of systematic text condensation. All participants experienced that language barriers caused difficulties in their everyday collaboration. Furthermore, the participants' descriptions of "language barriers" encompassed a wide range of topics, including semantics (e.g., specialized professional vocabulary, system knowledge), pragmatics (e.g., using language in doctor-patient and interprofessional interactions), and specific culturally sensitive topics. All participants described that language barriers provoked uncertainty about a doctor's competence. Newly employed international medical doctors and their colleagues are concerned by ineffective communication due to language barriers. Experiences of language barriers threaten professional identity as a competent and effective doctor. Newly employed doctors who are non-native speakers could benefit from support in understanding and handling the array of barriers related to language. Copyright © 2017 Elsevier B.V. All rights reserved.

21 CFR 801.16 - Medical devices; Spanish-language version of certain required statements.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Medical devices; Spanish-language version of....16 Medical devices; Spanish-language version of certain required statements. If devices restricted to prescription use only are labeled solely in Spanish for distribution in the Commonwealth of Puerto Rico where...

[A quantitative analysis of information-seeking behaviors regarding medical institutions with Spanish language support among South American Spanish-speaking migrants in Aichi Prefecture, Japan].

PubMed

Takaku, Michiko; Ichikawa, Seiichi; Kaneko, Noriyo

2015-01-01

This study aimed to explore the factors associated with information-seeking behaviors regarding medical institutions with Spanish language support among South American Spanish-speaking migrants living in Aichi Prefecture, Japan. The survey targeted South American Spanish-speaking migrants aged 18 years and older currently residing in Aichi Prefecture who had lived in Japan for at least three months and who had previously seen a doctor in Japan. The questionnaire was written in Spanish and the survey was conducted from April to July, 2010. Wilson's information behavior model was used to study information-seeking behavior regarding medical institutions with Spanish language support among 245 respondents who completed the questionnaires (response rate: 58.9%). Experience seeking medical institutions with Spanish language support in the Tokai area was set as the dependent variable and a chi-square test was conducted to examine relationships with language support needs, recognition of and access to medical institutions with Spanish language support, living situation in Japan, and Japanese language skills. Among the 245 respondents, 106 were male (43.3%) and 139 were female (56.7%). The average age was 39.6±11.2 years old and 84.5% were Peruvian. The average length of residency in Japan was 11.0±5.7 years, and 34.3% of respondents had lived in Aichi for 5-9 years. A total of 165 respondents (67.3%) had searched for medical institutions with Spanish language support, while 80 (32.7%) had not. Information-seeking behavior regarding medical institutions with Spanish language support was associated with having previously experienced a need for Spanish language support when seeing doctors in Japan, finding and attending medical institutions with Spanish language support in the Tokai area, length of residency in Japan, Japanese language skills, and the language used in daily life. Experience in requiring Spanish support when sick or injured in Japan motivated respondents to seek medical institutions with Spanish language support. Communication difficulties in Japanese, speaking Spanish in daily life, and length of residency in Japan were relevant factors in their information-seeking behaviors. Respondents were likely to obtain information from family, friends, co-workers, and Spanish media, but not from public institutions that distribute Spanish material. Finding an effective way to disseminate health-related information was a fundamental health issue for South American Spanish-speaking migrants.

The use of interpreters in medical settings and forensic medical examinations in Australia: the relationship between medicine and linguistics.

PubMed

Schreiber, Jason R; Odell, Morris S

2014-07-01

Medical examinations are dependent on combining communication with professional competence. In the development of a global multicultural community with the use of multiple languages, doctors have become increasingly dependent on language facilitation such as interpreting and translation. Despite professional studies, the use of language facilitation with its associated problems has not been fully explored in graduate and post-graduate medical and forensic medical training. There may still be some lack of reciprocal understanding between the medical and linguistic fields, their ethics, obligations and limits although both fields and their ethical frameworks are closer related than might be expected. This article is a discussion that aims at providing a basic understanding of guidelines as to the origin and appropriate use of language interpretation in medical and forensic medical examinations. Copyright © 2014 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Medical language proficiency: A discussion of interprofessional language competencies and potential for patient risk.

PubMed

Hull, Melodie

2016-02-01

In increasingly multilingual healthcare environments worldwide, ensuring accurate, effective communication is requisite. Language proficiency is essential, particularly medical language proficiency. Medical language is a universal construct in healthcare, the shared language of health and allied health professions. It is highly evolved, career-specific, technical and cultural-bound-a language for specific purposes. Its function differs significantly from that of a standard language. Proficiency requires at minimum, a common understanding of discipline-specific jargon, abstracts, euphemisms, abbreviations; acronyms. An optimal medical language situation demands a level of competency beyond the superficial wherein one can convey or interpret deeper meanings, distinguish themes, voice opinion, and follow directions precisely. It necessitates the use of clarity, and the ability to understand both lay and formal language-characteristics not essential to standard language. Proficiency influences professional discourse and can have the potential to positively or negatively affect patient outcomes. While risks have been identified when there is language discordance between care provider and patient, almost nothing has been said about this within care teams themselves. This article will do so in anticipation that care providers, regulators, employers, and researchers will acknowledge potential language-based communication barriers and work towards resolutions. This is predicated on the fact that the growing interest in language and communication in healthcare today appears to be rested in globalization and increasingly linguistically diverse patient populations. Consideration of the linguistically diverse healthcare workforce is absent. An argument will be posited that if potential risks to patient safety exist and there are potentials for disengagement from care by patients when health providers do not speak their languages then logically these language-based issues can also be true for a care team of mixed linguistic backgrounds. Members may disengage from each other or adverse events may occur as a result of misunderstanding or other language-based confounds. While the greater goal of the article is to address the issues of medical language across languages, English and medical English are used to illustrate points. Questions will be posed to stimulate thought and identify a need for research. Recommendations include collaboration between the health and language disciplines. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

Association of mandated language access programming and quality of care provided by mental health agencies.

PubMed

McClellan, Sean R; Snowden, Lonnie

2015-01-01

This study examined the association between language access programming and quality of psychiatric care received by persons with limited English proficiency (LEP). In 1999, the California Department of Mental Health required county Medicaid agencies to implement a "threshold language access policy" to meet the state's Title VI obligations. This policy required Medi-Cal agencies to provide language access programming, including access to interpreters and translated written material, to speakers of languages other than English if the language was spoken by at least 3,000, or 5%, of the county's Medicaid population. Using a longitudinal study design with a nonequivalent control group, this study examined the quality of care provided to Spanish speakers with LEP and a severe mental illness before and after implementation of mandatory language access programming. Quality was measured by receipt of at least two follow-up medication visits within 90 days or three visits within 180 days of an initial medication visit over a period of 38 quarter-years. On average, only 40% of Spanish-speaking clients received at least three medication follow-up visits within 180 days. In multivariate analyses, language access programming was not associated with receipt of at least two medication follow-up visits within 90 days or at least three visits within 180 days. This study found no evidence that language access programming led to increased rates of follow-up medication visits for clients with LEP.

Non-indexed medical journals in the Web: new perspectives in the medical literature.

PubMed

Germenis, A E; Kokkinides, P A; Stavropoulos-Giokas, C

1997-11-01

Many medical journals, publishing in national languages, meet serious financial problems and difficulties when they attempt to become indexed in the international indices. Obviously, this not only affects the scientific quality of non-indexed medical journals (NIMJs) but also affects the awareness of the scientific community of topics with apparently local but potentially broader scientific significance. This is a reality for over 100 Greek medical journals, none of which has a life longer than 30 years or more than 2000 subscribers. Among them, the 'Archives of Hellenic Medicine' (AHM) is published and sponsored by the Athens Medical Society (the oldest medical society in Greece founded in 1835). This peer-reviewed Journal is being published for 13 years, bimonthly, in Greek. Attempting to overcome the above mentioned problems and to be involved in the process of discovering the most effective way of scientific 'skywriting', 2 years ago, the AHM entered full-text in the Web and it was decided that up to 500% of its volume should be covered by English-language papers. As a result, the AHM are now included in the main Web lists of medical journals and their home page is linked in many academic pages having approximately 500 hits/month. Furthermore, 45 retrievals of AHM's English-language papers or English abstracts of Greek-language articles were reported by e-mail response from abroad. Considered apart from the paper-publishing, the expenses of the digital publishing of the AHM are about half of those of paper-publishing, as they were before the appearance of the Journal in the Web. Up to now, about 40% of the Journal's digital publishing cost is covered by advertisements included in its pages and by a modification of its paper-publishing policy. It is concluded that the international scientific community is not indifferent for information published in NIMJs. Medical national minorities working abroad express special interest for this type of information. The Web makes the NIMJs accessible to these potential readers, who would never have the chance to acquire them in their printed form.

Simple solution to the medical instrumentation software problem

NASA Astrophysics Data System (ADS)

Leif, Robert C.; Leif, Suzanne B.; Leif, Stephanie H.; Bingue, E.

1995-04-01

Medical devices now include a substantial software component, which is both difficult and expensive to produce and maintain. Medical software must be developed according to `Good Manufacturing Practices', GMP. Good Manufacturing Practices as specified by the FDA and ISO requires the definition and compliance to a software processes which ensures quality products by specifying a detailed method of software construction. The software process should be based on accepted standards. US Department of Defense software standards and technology can both facilitate the development and improve the quality of medical systems. We describe the advantages of employing Mil-Std-498, Software Development and Documentation, and the Ada programming language. Ada provides the very broad range of functionalities, from embedded real-time to management information systems required by many medical devices. It also includes advanced facilities for object oriented programming and software engineering.

Can language acquisition be facilitated in cochlear implanted children? Comparison of cognitive and behavioral psychologists' viewpoints.

PubMed

Monshizadeh, Leila; Vameghi, Roshanak; Yadegari, Fariba; Sajedi, Firoozeh; Hashemi, Seyed Basir

2016-11-08

To study how language acquisition can be facilitated for cochlear implanted children based on cognitive and behavioral psychology viewpoints? To accomplish this objective, literature related to behaviorist and cognitive psychology prospects about language acquisition were studied and some relevant books as well as Medline, Cochrane Library, Google scholar, ISI web of knowledge and Scopus databases were searched. Among 25 articles that were selected, only 11 met the inclusion criteria and were included in the study. Based on the inclusion criteria, review articles, expert opinion studies, non-experimental and experimental studies that clearly focused on behavioral and cognitive factors affecting language acquisition in children were selected. Finally, the selected articles were appraised according to guidelines of appraisal of medical studies. Due to the importance of the cochlear implanted child's language performance, the comparison of behaviorist and cognitive psychology points of view in child language acquisition was done. Since each theoretical basis, has its own positive effects on language, and since the two are not in opposition to one another, it can be said that a set of behavioral and cognitive factors might facilitate the process of language acquisition in children. Behavioral psychologists believe that repetition, as well as immediate reinforcement of child's language behavior help him easily acquire the language during a language intervention program, while cognitive psychologists emphasize on the relationship between information processing, memory improvement through repetitively using words along with "associated" pictures and objects, motor development and language acquisition. It is recommended to use a combined approach based on both theoretical frameworks while planning a language intervention program.

Meeting medical terminology needs--the Ontology-Enhanced Medical Concept Mapper.

PubMed

Leroy, G; Chen, H

2001-12-01

This paper describes the development and testing of the Medical Concept Mapper, a tool designed to facilitate access to online medical information sources by providing users with appropriate medical search terms for their personal queries. Our system is valuable for patients whose knowledge of medical vocabularies is inadequate to find the desired information, and for medical experts who search for information outside their field of expertise. The Medical Concept Mapper maps synonyms and semantically related concepts to a user's query. The system is unique because it integrates our natural language processing tool, i.e., the Arizona (AZ) Noun Phraser, with human-created ontologies, the Unified Medical Language System (UMLS) and WordNet, and our computer generated Concept Space, into one system. Our unique contribution results from combining the UMLS Semantic Net with Concept Space in our deep semantic parsing (DSP) algorithm. This algorithm establishes a medical query context based on the UMLS Semantic Net, which allows Concept Space terms to be filtered so as to isolate related terms relevant to the query. We performed two user studies in which Medical Concept Mapper terms were compared against human experts' terms. We conclude that the AZ Noun Phraser is well suited to extract medical phrases from user queries, that WordNet is not well suited to provide strictly medical synonyms, that the UMLS Metathesaurus is well suited to provide medical synonyms, and that Concept Space is well suited to provide related medical terms, especially when these terms are limited by our DSP algorithm.

Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.

PubMed

Hardjojo, Antony; Gunachandran, Arunan; Pang, Long; Abdullah, Mohammed Ridzwan Bin; Wah, Win; Chong, Joash Wen Chen; Goh, Ee Hui; Teo, Sok Huang; Lim, Gilbert; Lee, Mong Li; Hsu, Wynne; Lee, Vernon; Chen, Mark I-Cheng; Wong, Franco; Phang, Jonathan Siung King

2018-06-11

Free-text clinical records provide a source of information that complements traditional disease surveillance. To electronically harness these records, they need to be transformed into codified fields by natural language processing algorithms. The aim of this study was to develop, train, and validate Clinical History Extractor for Syndromic Surveillance (CHESS), an natural language processing algorithm to extract clinical information from free-text primary care records. CHESS is a keyword-based natural language processing algorithm to extract 48 signs and symptoms suggesting respiratory infections, gastrointestinal infections, constitutional, as well as other signs and symptoms potentially associated with infectious diseases. The algorithm also captured the assertion status (affirmed, negated, or suspected) and symptom duration. Electronic medical records from the National Healthcare Group Polyclinics, a major public sector primary care provider in Singapore, were randomly extracted and manually reviewed by 2 human reviewers, with a third reviewer as the adjudicator. The algorithm was evaluated based on 1680 notes against the human-coded result as the reference standard, with half of the data used for training and the other half for validation. The symptoms most commonly present within the 1680 clinical records at the episode level were those typically present in respiratory infections such as cough (744/7703, 9.66%), sore throat (591/7703, 7.67%), rhinorrhea (552/7703, 7.17%), and fever (928/7703, 12.04%). At the episode level, CHESS had an overall performance of 96.7% precision and 97.6% recall on the training dataset and 96.0% precision and 93.1% recall on the validation dataset. Symptoms suggesting respiratory and gastrointestinal infections were all detected with more than 90% precision and recall. CHESS correctly assigned the assertion status in 97.3%, 97.9%, and 89.8% of affirmed, negated, and suspected signs and symptoms, respectively (97.6% overall accuracy). Symptom episode duration was correctly identified in 81.2% of records with known duration status. We have developed an natural language processing algorithm dubbed CHESS that achieves good performance in extracting signs and symptoms from primary care free-text clinical records. In addition to the presence of symptoms, our algorithm can also accurately distinguish affirmed, negated, and suspected assertion statuses and extract symptom durations. ©Antony Hardjojo, Arunan Gunachandran, Long Pang, Mohammed Ridzwan Bin Abdullah, Win Wah, Joash Wen Chen Chong, Ee Hui Goh, Sok Huang Teo, Gilbert Lim, Mong Li Lee, Wynne Hsu, Vernon Lee, Mark I-Cheng Chen, Franco Wong, Jonathan Siung King Phang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 11.06.2018.

[Standards in Medical Informatics: Fundamentals and Applications].

PubMed

Suárez-Obando, Fernando; Camacho Sánchez, Jhon

2013-09-01

The use of computers in medical practice has enabled novel forms of communication to be developed in health care. The optimization of communication processes is achieved through the use of standards to harmonize the exchange of information and provide a common language for all those involved. This article describes the concept of a standard applied to medical informatics and its importance in the development of various applications, such as computational representation of medical knowledge, disease classification and coding systems, medical literature searches and integration of biological and clinical sciences. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

[Publications in the Croatian medical journals by doctoral candidates at University of Zagreb School of Medicine].

PubMed

Sember, Marijan; Petrak, Jelka

2014-01-01

By searching Medline/PubMed bibliographic database we collected data on publications of two groups of PhD candidates who earned their PhD degrees at University of Zagreb Medical School in 2000 and 2010. We identifed their publications in the Croatian medical journals and separately in the Croatian language. First group of PhD candidates (y 2000) published in the Croatian journals 34% of all published papers, with a share of 29% in the Croatian language. Another group (y 2010) published in the Croatian journals 44% of all published papers in which the number of papers published in the Croatian journals in English language grow significantly (5% vs. 31%). The number of papers published in the Croatian language decreased to 13%. Our results agreed with the global decreasing trend of the number of medical papers in non-English languages. The importance of mother-tongue in the medical education and health care may have influence on preserving scientific communication in non-English medical journals.

Profiles of verbal working memory growth predict speech and language development in children with cochlear implants.

PubMed

Kronenberger, William G; Pisoni, David B; Harris, Michael S; Hoen, Helena M; Xu, Huiping; Miyamoto, Richard T

2013-06-01

Verbal short-term memory (STM) and working memory (WM) skills predict speech and language outcomes in children with cochlear implants (CIs) even after conventional demographic, device, and medical factors are taken into account. However, prior research has focused on single end point outcomes as opposed to the longitudinal process of development of verbal STM/WM and speech-language skills. In this study, the authors investigated relations between profiles of verbal STM/WM development and speech-language development over time. Profiles of verbal STM/WM development were identified through the use of group-based trajectory analysis of repeated digit span measures over at least a 2-year time period in a sample of 66 children (ages 6-16 years) with CIs. Subjects also completed repeated assessments of speech and language skills during the same time period. Clusters representing different patterns of development of verbal STM (digit span forward scores) were related to the growth rate of vocabulary and language comprehension skills over time. Clusters representing different patterns of development of verbal WM (digit span backward scores) were related to the growth rate of vocabulary and spoken word recognition skills over time. Different patterns of development of verbal STM/WM capacity predict the dynamic process of development of speech and language skills in this clinical population.

25 tips for working through language and cultural barriers in your medical practice.

PubMed

Hills, Laura Sachs

2009-01-01

The language and cultural barriers facing medical patients with limited English language proficiency pose tremendous challenges and risks. Moreover, medical practices today are more likely than ever to employ individuals whose first language is not English or who do not possess native-like knowledge of American culture. Knowing how to work through the language and cultural barriers you are likely to encounter in your medical practice has become increasingly more important. This article is written by a practice management consultant who has graduate-level linguistics training and second-language teaching credentials and experience. It offers 25 practical tips to help you communicate more effectively with individuals who are outside of your native culture and language. These include easy-to-implement tips about English language pronunciation, grammar, and word choice. This article also suggests what you can do personally to bridge the cultural divide with your patients and co-workers. Finally, this article includes a case study of one Virginia practice in which cultural differences interfered with the practice's smooth operation. It explains how the practice eventually worked through and overcame this cultural obstacle.

Effects of metabolic syndrome on language functions in aging.

PubMed

Cahana-Amitay, Dalia; Spiro, Avron; Cohen, Jason A; Oveis, Abigail C; Ojo, Emmanuel A; Sayers, Jesse T; Obler, Loraine K; Albert, Martin L

2015-02-01

This study explored effects of the metabolic syndrome (MetS) on language in aging. MetS is a constellation of five vascular and metabolic risk factors associated with the development of chronic diseases and increased risk of mortality, as well as brain and cognitive impairments. We tested 281 English-speaking older adults aged 55-84, free of stroke and dementia. Presence of MetS was based on the harmonized criteria (Alberti et al., 2009). Language performance was assessed by measures of accuracy and reaction time on two tasks of lexical retrieval and two tasks of sentence processing. Regression analyses, adjusted for age, education, gender, diabetes, hypertension, and heart disease, demonstrated that participants with MetS had significantly lower accuracy on measures of lexical retrieval (action naming) and sentence processing (embedded sentences, both subject and object relative clauses). Reaction time was slightly faster on the test of embedded sentences among those with MetS. MetS adversely affects the language performance of older adults, impairing accuracy of both lexical retrieval and sentence processing. This finding reinforces and extends results of earlier research documenting the negative influence of potentially treatable medical conditions (diabetes, hypertension) on language performance in aging. The unanticipated finding that persons with MetS were faster in processing embedded sentences may represent an impairment of timing functions among older individuals with MetS.

Exploring Perception and Use of Everyday Language and Medical Terminology among International Medical Graduates in a Medical ESP Course in Australia

ERIC Educational Resources Information Center

Dahm, Maria R.

2011-01-01

Language and communication skills are among the greatest challenges that non-native-English speaking international medical graduates (IMGs) face in English medical consultations. Especially when patients use unfamiliar everyday expressions or attach different meanings to medical terminology, the communicative burden on doctor-patient communication…

77 FR 5734 - New Medical Criteria for Evaluating Language and Speech Disorders

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-06

... Medical Criteria for Evaluating Language and Speech Disorders AGENCY: Social Security Administration... Security numbers or medical information. 1. Internet: We strongly recommend that you submit your comments... INFORMATION CONTACT: Cheryl A. Williams, Office of Medical Listings Improvement, Social Security...

Multilingual Information Retrieval in Thoracic Radiology: Feasibility Study

PubMed Central

Castilla, André Coutinho; Furuie, Sérgio Shiguemi; Mendonça, Eneida A.

2014-01-01

Most of essential information contained on Electronic Medical Record is stored as text, imposing several difficulties on automated data extraction and retrieval. Natural language processing is an approach that can unlock clinical information from free texts. The proposed methodology uses the specialized natural language processor MEDLEE developed for English language. To use this processor on Portuguese medical texts, chest x-ray reports were Machine Translated into English. The result of serial coupling of MT an NLP is tagged text which needs further investigation for extracting clinical findings. The objective of this experiment was to investigate normal reports and reports with device description on a set of 165 chest x-ray reports. We obtained sensitivity and specificity of 1 and 0.71 for the first condition and 0.97 and 0.97 for the second respectively. The reference was formed by the opinion of two radiologists. The results of this experiment indicate the viability of extracting clinical findings from chest x-ray reports through coupling MT and NLP. PMID:17911745

Translating medical documents improves students' communication skills in simulated physician-patient encounters.

PubMed

Bittner, Anja; Bittner, Johannes; Jonietz, Ansgar; Dybowski, Christoph; Harendza, Sigrid

2016-02-27

Patient-physician communication should be based on plain and simple language. Despite communication skill trainings in undergraduate medical curricula medical students and physicians are often still not aware of using medical jargon when communicating with patients. The aim of this study was to compare linguistic communication skills of undergraduate medical students who voluntarily translate medical documents into plain language with students who do not participate in this voluntary task. Fifty-nine undergraduate medical students participated in this study. Twenty-nine participants were actively involved in voluntarily translating medical documents for real patients into plain language on the online-platform https://washabich.de (WHI group) and 30 participants were not (non-WHI group). The assessment resembled a virtual consultation hour, where participants were connected via skype to six simulated patients (SPs). The SPs assessed participants' communication skills. All conversations were transcribed and assessed for communication skills and medical correctness by a blinded expert. All participants completed a self-assessment questionnaire on their communication skills. Across all raters, the WHI group was assessed significantly (p = .007) better than the non-WHI group regarding the use of plain language. The blinded expert assessed the WHI group significantly (p = .018) better regarding the use of stylistic devices of communication. The SPs would choose participants from the WHI group significantly (p = .041) more frequently as their personal physician. No significant differences between the two groups were observed with respect to the medical correctness of the consultations. Written translation of medical documents is associated with significantly more frequent use of plain language in simulated physician-patient encounters. Similar extracurricular exercises might be a useful tool for medical students to enhance their communication skills with respect to using plain language in physician-patient communication.

Speed of Language Comprehension at 18 Months Old Predicts School-Relevant Outcomes at 54 Months Old in Children Born Preterm.

PubMed

Marchman, Virginia A; Loi, Elizabeth C; Adams, Katherine A; Ashland, Melanie; Fernald, Anne; Feldman, Heidi M

2018-04-01

Identifying which preterm (PT) children are at increased risk of language and learning differences increases opportunities for participation in interventions that improve outcomes. Speed in spoken language comprehension at early stages of language development requires information processing skills that may form the foundation for later language and school-relevant skills. In children born full-term, speed of comprehending words in an eye-tracking task at 2 years old predicted language and nonverbal cognition at 8 years old. Here, we explore the extent to which speed of language comprehension at 1.5 years old predicts both verbal and nonverbal outcomes at 4.5 years old in children born PT. Participants were children born PT (n = 47; ≤32 weeks gestation). Children were tested in the "looking-while-listening" task at 18 months old, adjusted for prematurity, to generate a measure of speed of language comprehension. Parent report and direct assessments of language were also administered. Children were later retested on a test battery of school-relevant skills at 4.5 years old. Speed of language comprehension at 18 months old predicted significant unique variance (12%-31%) in receptive vocabulary, global language abilities, and nonverbal intelligence quotient (IQ) at 4.5 years, controlling for socioeconomic status, gestational age, and medical complications of PT birth. Speed of language comprehension remained uniquely predictive (5%-12%) when also controlling for children's language skills at 18 months old. Individual differences in speed of spoken language comprehension may serve as a marker for neuropsychological processes that are critical for the development of school-relevant linguistic skills and nonverbal IQ in children born PT.

Speech Databases of Typical Children and Children with SLI

PubMed Central

Grill, Pavel; Tučková, Jana

2016-01-01

The extent of research on children’s speech in general and on disordered speech specifically is very limited. In this article, we describe the process of creating databases of children’s speech and the possibilities for using such databases, which have been created by the LANNA research group in the Faculty of Electrical Engineering at Czech Technical University in Prague. These databases have been principally compiled for medical research but also for use in other areas, such as linguistics. Two databases were recorded: one for healthy children’s speech (recorded in kindergarten and in the first level of elementary school) and the other for pathological speech of children with a Specific Language Impairment (recorded at a surgery of speech and language therapists and at the hospital). Both databases were sub-divided according to specific demands of medical research. Their utilization can be exoteric, specifically for linguistic research and pedagogical use as well as for studies of speech-signal processing. PMID:26963508

A methodology for extending domain coverage in SemRep.

PubMed

Rosemblat, Graciela; Shin, Dongwook; Kilicoglu, Halil; Sneiderman, Charles; Rindflesch, Thomas C

2013-12-01

We describe a domain-independent methodology to extend SemRep coverage beyond the biomedical domain. SemRep, a natural language processing application originally designed for biomedical texts, uses the knowledge sources provided by the Unified Medical Language System (UMLS©). Ontological and terminological extensions to the system are needed in order to support other areas of knowledge. We extended SemRep's application by developing a semantic representation of a previously unsupported domain. This was achieved by adapting well-known ontology engineering phases and integrating them with the UMLS knowledge sources on which SemRep crucially depends. While the process to extend SemRep coverage has been successfully applied in earlier projects, this paper presents in detail the step-wise approach we followed and the mechanisms implemented. A case study in the field of medical informatics illustrates how the ontology engineering phases have been adapted for optimal integration with the UMLS. We provide qualitative and quantitative results, which indicate the validity and usefulness of our methodology. Published by Elsevier Inc.

Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

PubMed

Khalifa, Abdulrahman; Meystre, Stéphane

2015-12-01

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk factors such as high blood pressure, high cholesterol levels, obesity and smoking status among other factors found in health records of diabetic patients. In addition, the task involved detecting medications, and time information associated with the extracted data. This paper presents the development and evaluation of a natural language processing (NLP) application conceived for this i2b2 shared task. For increased efficiency, the application main components were adapted from two existing NLP tools implemented in the Apache UIMA framework: Textractor (for dictionary-based lookup) and cTAKES (for preprocessing and smoking status detection). The application achieved a final (micro-averaged) F1-measure of 87.5% on the final evaluation test set. Our attempt was mostly based on existing tools adapted with minimal changes and allowed for satisfying performance with limited development efforts. Copyright © 2015 Elsevier Inc. All rights reserved.

Increasing the speed of medical image processing in MatLab®

PubMed Central

Bister, M; Yap, CS; Ng, KH; Tok, CH

2007-01-01

MatLab® has often been considered an excellent environment for fast algorithm development but is generally perceived as slow and hence not fit for routine medical image processing, where large data sets are now available e.g., high-resolution CT image sets with typically hundreds of 512x512 slices. Yet, with proper programming practices – vectorization, pre-allocation and specialization – applications in MatLab® can run as fast as in C language. In this article, this point is illustrated with fast implementations of bilinear interpolation, watershed segmentation and volume rendering. PMID:21614269

pWeb: A High-Performance, Parallel-Computing Framework for Web-Browser-Based Medical Simulation.

PubMed

Halic, Tansel; Ahn, Woojin; De, Suvranu

2014-01-01

This work presents a pWeb - a new language and compiler for parallelization of client-side compute intensive web applications such as surgical simulations. The recently introduced HTML5 standard has enabled creating unprecedented applications on the web. Low performance of the web browser, however, remains the bottleneck of computationally intensive applications including visualization of complex scenes, real time physical simulations and image processing compared to native ones. The new proposed language is built upon web workers for multithreaded programming in HTML5. The language provides fundamental functionalities of parallel programming languages as well as the fork/join parallel model which is not supported by web workers. The language compiler automatically generates an equivalent parallel script that complies with the HTML5 standard. A case study on realistic rendering for surgical simulations demonstrates enhanced performance with a compact set of instructions.

A service protocol for post-processing of medical images on the mobile device

NASA Astrophysics Data System (ADS)

He, Longjun; Ming, Xing; Xu, Lang; Liu, Qian

2014-03-01

With computing capability and display size growing, the mobile device has been used as a tool to help clinicians view patient information and medical images anywhere and anytime. It is uneasy and time-consuming for transferring medical images with large data size from picture archiving and communication system to mobile client, since the wireless network is unstable and limited by bandwidth. Besides, limited by computing capability, memory and power endurance, it is hard to provide a satisfactory quality of experience for radiologists to handle some complex post-processing of medical images on the mobile device, such as real-time direct interactive three-dimensional visualization. In this work, remote rendering technology is employed to implement the post-processing of medical images instead of local rendering, and a service protocol is developed to standardize the communication between the render server and mobile client. In order to make mobile devices with different platforms be able to access post-processing of medical images, the Extensible Markup Language is taken to describe this protocol, which contains four main parts: user authentication, medical image query/ retrieval, 2D post-processing (e.g. window leveling, pixel values obtained) and 3D post-processing (e.g. maximum intensity projection, multi-planar reconstruction, curved planar reformation and direct volume rendering). And then an instance is implemented to verify the protocol. This instance can support the mobile device access post-processing of medical image services on the render server via a client application or on the web page.

Can language acquisition be facilitated in cochlear implanted children? Comparison of cognitive and behavioral psychologists’ viewpoints

PubMed Central

Monshizadeh, Leila; Vameghi, Roshanak; Yadegari, Fariba; Sajedi, Firoozeh; Hashemi, Seyed Basir

2016-01-01

AIM To study how language acquisition can be facilitated for cochlear implanted children based on cognitive and behavioral psychology viewpoints? METHODS To accomplish this objective, literature related to behaviorist and cognitive psychology prospects about language acquisition were studied and some relevant books as well as Medline, Cochrane Library, Google scholar, ISI web of knowledge and Scopus databases were searched. Among 25 articles that were selected, only 11 met the inclusion criteria and were included in the study. Based on the inclusion criteria, review articles, expert opinion studies, non-experimental and experimental studies that clearly focused on behavioral and cognitive factors affecting language acquisition in children were selected. Finally, the selected articles were appraised according to guidelines of appraisal of medical studies. RESULTS Due to the importance of the cochlear implanted child’s language performance, the comparison of behaviorist and cognitive psychology points of view in child language acquisition was done. Since each theoretical basis, has its own positive effects on language, and since the two are not in opposition to one another, it can be said that a set of behavioral and cognitive factors might facilitate the process of language acquisition in children. Behavioral psychologists believe that repetition, as well as immediate reinforcement of child’s language behavior help him easily acquire the language during a language intervention program, while cognitive psychologists emphasize on the relationship between information processing, memory improvement through repetitively using words along with “associated” pictures and objects, motor development and language acquisition. CONCLUSION It is recommended to use a combined approach based on both theoretical frameworks while planning a language intervention program. PMID:27872829

The applicability of normalisation process theory to speech and language therapy: a review of qualitative research on a speech and language intervention.

PubMed

James, Deborah M

2011-08-12

The Bercow review found a high level of public dissatisfaction with speech and language services for children. Children with speech, language, and communication needs (SLCN) often have chronic complex conditions that require provision from health, education, and community services. Speech and language therapists are a small group of Allied Health Professionals with a specialist skill-set that equips them to work with children with SLCN. They work within and across the diverse range of public service providers. The aim of this review was to explore the applicability of Normalisation Process Theory (NPT) to the case of speech and language therapy. A review of qualitative research on a successfully embedded speech and language therapy intervention was undertaken to test the applicability of NPT. The review focused on two of the collective action elements of NPT (relational integration and interaction workability) using all previously published qualitative data from both parents and practitioners' perspectives on the intervention. The synthesis of the data based on the Normalisation Process Model (NPM) uncovered strengths in the interpersonal processes between the practitioners and parents, and weaknesses in how the accountability of the intervention is distributed in the health system. The analysis based on the NPM uncovered interpersonal processes between the practitioners and parents that were likely to have given rise to successful implementation of the intervention. In previous qualitative research on this intervention where the Medical Research Council's guidance on developing a design for a complex intervention had been used as a framework, the interpersonal work within the intervention had emerged as a barrier to implementation of the intervention. It is suggested that the design of services for children and families needs to extend beyond the consideration of benefits and barriers to embrace the social processes that appear to afford success in embedding innovation in healthcare.

Formal ontology for natural language processing and the integration of biomedical databases.

PubMed

Simon, Jonathan; Dos Santos, Mariana; Fielding, James; Smith, Barry

2006-01-01

The central hypothesis underlying this communication is that the methodology and conceptual rigor of a philosophically inspired formal ontology can bring significant benefits in the development and maintenance of application ontologies [A. Flett, M. Dos Santos, W. Ceusters, Some Ontology Engineering Procedures and their Supporting Technologies, EKAW2002, 2003]. This hypothesis has been tested in the collaboration between Language and Computing (L&C), a company specializing in software for supporting natural language processing especially in the medical field, and the Institute for Formal Ontology and Medical Information Science (IFOMIS), an academic research institution concerned with the theoretical foundations of ontology. In the course of this collaboration L&C's ontology, LinKBase, which is designed to integrate and support reasoning across a plurality of external databases, has been subjected to a thorough auditing on the basis of the principles underlying IFOMIS's Basic Formal Ontology (BFO) [B. Smith, Basic Formal Ontology, 2002. http://ontology.buffalo.edu/bfo]. The goal is to transform a large terminology-based ontology into one with the ability to support reasoning applications. Our general procedure has been the implementation of a meta-ontological definition space in which the definitions of all the concepts and relations in LinKBase are standardized in the framework of first-order logic. In this paper we describe how this principles-based standardization has led to a greater degree of internal coherence of the LinKBase structure, and how it has facilitated the construction of mappings between external databases using LinKBase as translation hub. We argue that the collaboration here described represents a new phase in the quest to solve the so-called "Tower of Babel" problem of ontology integration [F. Montayne, J. Flanagan, Formal Ontology: The Foundation for Natural Language Processing, 2003. http://www.landcglobal.com/].

Low uptake of Aboriginal interpreters in healthcare: exploration of current use in Australia's Northern Territory.

PubMed

Ralph, Anna P; Lowell, Anne; Murphy, Jean; Dias, Tara; Butler, Deborah; Spain, Brian; Hughes, Jaquelyne T; Campbell, Lauren; Bauert, Barbara; Salter, Claire; Tune, Kylie; Cass, Alan

2017-11-15

In Australia's Northern Territory, most Aboriginal people primarily speak an Aboriginal language. Poor communication between healthcare providers and Aboriginal people results in adverse outcomes including death. This study aimed to identify remediable barriers to utilisation of Aboriginal Interpreter services at the Northern Territory's tertiary hospital, which currently manages over 25,000 Aboriginal inpatients annually. This is a multi-method study using key stakeholder discussions, medical file audit, bookings data from the Aboriginal Interpreter Service 2000-2015 and an online cross-sectional staff survey. The Donabedian framework was used to categorise findings into structure, process and outcome. Six key stakeholder meetings each with approximately 15 participants were conducted. A key structural barrier identified was lack of onsite interpreters. Interpreter bookings data revealed that only 7603 requests were made during the 15-year period, with completion of requests decreasing from 337/362 (93.1%) in 2003-4 to 649/831 (78.1%) in 2014-15 (p < 0.001). Non-completion was more common for minority languages (p < 0.001). Medical files of 103 Aboriginal inpatients were audited. Language was documented for 13/103 (12.6%). Up to 60/103 (58.3%) spoke an Aboriginal language primarily. Of 422 staff who participated in the survey, 18.0% had not received 'cultural competency' training; of those who did, 58/222 (26.2%) indicated it was insufficient. The Aboriginal Interpreter Service effectiveness was reported to be good by 209/368 (56.8%), but only 101/367 (27.5%) found it timely. Key process barriers identified by staff included booking complexities, time constraints, inadequate delivery of tools and training, and greater convenience of unofficial interpreters. We identified multiple structural and process barriers resulting in the outcomes of poor language documentation and low rates of interpreter bookings. Findings are now informing interventions to improve communication.

Hypermedicalization in White Noise.

PubMed

Benson, Josef

2015-09-01

The Nazis hijacked Germany's medical establishment and appropriated medical language to hegemonize their ideology. In White Noise, shifting medical information stifles the public into docility. In Nazi Germany the primacy of language and medical authority magnified the importance of academic doctors. The muddling of identities caused complex insecurities and the need for psychological doubles. In White Noise, Professor Gladney is driven by professional insecurities to enact a double in Murray. Through the manipulation of language and medical overreach the U.S., exemplified in the novel White Noise, has become a hypermedicalized society where the spirit of the Hippocratic Oath has eroded.

Performing Surgery: Commonalities with Performers Outside Medicine

PubMed Central

Kneebone, Roger L.

2016-01-01

This paper argues for the inclusion of surgery within the canon of performance science. The world of medicine presents rich, complex but relatively under-researched sites of performance. Performative aspects of clinical practice are overshadowed by a focus on the processes and outcomes of medical care, such as diagnostic accuracy and the results of treatment. The primacy of this “clinical” viewpoint—framed by clinical professionals as the application of medical knowledge—hides resonances with performance in other domains. Yet the language of performance is embedded in the culture of surgery—surgeons “perform” operations, work in an operating “theater” and use “instruments.” This paper asks what might come into view if we take this performative language at face value and interrogate surgery from the perspective of performance science. PMID:27630587

["Linguistitis" of medical terminology (I)].

PubMed

Høy, A

1996-12-02

A 1994/95 survey on language and terminology in emergency wards revealed a number of contradictory tendencies within today's Danish medical terminology. On the one hand, an increasing number of medical terms are nationalized. This tendency is reflected not only in intercollegial language, but also in the Danish version of the ICD-10 where a number of official diagnostic terms are casually translated into Danish or undergo various degrees of nationalization to appear as hybrids. On the other hand, knowledge of English becomes increasingly important: good passive command of the language is a must for medical students, and doctors committed to research need a good active command as well. This situation raises a number of questions: is there a need for setting up criteria for the terminology used in Danish medical literature and encyclopedia in order to avoid confusion, and for defining a language policy for future medical doctors?

‘Miscarriage or abortion?’ Understanding the medical language of pregnancy loss in Britain; a historical perspective

PubMed Central

Moscrop, Andrew

2013-01-01

Clinical language applied to early pregnancy loss changed in late twentieth century Britain when doctors consciously began using the term ‘miscarriage’ instead of ‘abortion’ to refer to this subject. Medical professionals at the time and since have claimed this change as an intuitive empathic response to women's experiences. However, a reading of medical journals and textbooks from the era reveals how the change in clinical language reflected legal, technological, professional and social developments. The shift in language is better understood in the context of these historical developments, rather than as the consequence of more empathic medical care for women who experience miscarriage. PMID:23429567

Formal verification of medical monitoring software using Z language: a representative sample.

PubMed

Babamir, Seyed Morteza; Borhani, Mehdi

2012-08-01

Medical monitoring systems are useful aids assisting physicians in keeping patients under constant surveillance; however, taking sound decision by the systems is a physician concern. As a result, verification of the systems behavior in monitoring patients is a matter of significant. The patient monitoring is undertaken by software in modern medical systems; so, software verification of modern medial systems have been noticed. Such verification can be achieved by the Formal Languages having mathematical foundations. Among others, the Z language is a suitable formal language has been used to formal verification of systems. This study aims to present a constructive method to verify a representative sample of a medical system by which the system is visually specified and formally verified against patient constraints stated in Z Language. Exploiting our past experience in formal modeling Continuous Infusion Insulin Pump (CIIP), we think of the CIIP system as a representative sample of medical systems in proposing our present study. The system is responsible for monitoring diabetic's blood sugar.

Electronic Procedures for Medical Operations

NASA Technical Reports Server (NTRS)

2015-01-01

Electronic procedures are replacing text-based documents for recording the steps in performing medical operations aboard the International Space Station. S&K Aerospace, LLC, has developed a content-based electronic system-based on the Extensible Markup Language (XML) standard-that separates text from formatting standards and tags items contained in procedures so they can be recognized by other electronic systems. For example, to change a standard format, electronic procedures are changed in a single batch process, and the entire body of procedures will have the new format. Procedures can be quickly searched to determine which are affected by software and hardware changes. Similarly, procedures are easily shared with other electronic systems. The system also enables real-time data capture and automatic bookmarking of current procedure steps. In Phase II of the project, S&K Aerospace developed a Procedure Representation Language (PRL) and tools to support the creation and maintenance of electronic procedures for medical operations. The goal is to develop these tools in such a way that new advances can be inserted easily, leading to an eventual medical decision support system.

Methodology to build medical ontology from textual resources.

PubMed

Baneyx, Audrey; Charlet, Jean; Jaulent, Marie-Christine

2006-01-01

In the medical field, it is now established that the maintenance of unambiguous thesauri goes through ontologies. Our research task is to help pneumologists code acts and diagnoses with a software that represents medical knowledge through a domain ontology. In this paper, we describe our general methodology aimed at knowledge engineers in order to build various types of medical ontologies based on terminology extraction from texts. The hypothesis is to apply natural language processing tools to textual patient discharge summaries to develop the resources needed to build an ontology in pneumology. Results indicate that the joint use of distributional analysis and lexico-syntactic patterns performed satisfactorily for building such ontologies.

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2010 CFR

2010-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2012 CFR

2012-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2011 CFR

2011-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2013 CFR

2013-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

8 CFR 1212.15 - Certificates for foreign health care workers.

Code of Federal Regulations, 2014 CFR

2014-01-01

.... (3) Physical therapists. (4) Speech-Language Pathologists and Audiologists. (5) Medical Technologists... pathologist and audiologist, medical technologist (clinical laboratory scientist), physician assistant, and... Score 77; Oral Interview: 3+. (iv) Speech-language pathologists and Audiologists, medical technologists...

Representing Medical Knowledge in a Terminological Language is Difficult1

PubMed Central

Haimowits, Ira J.; Patil, Ramesh S.; Szolovits, Peter

1988-01-01

We report on an experiment to use a modern knowledge representation language, NIKL, to express the knowledge of a sophisticated medical reasoning program, ABEL. We are attempting to put the development of more capable medical programs on firmer representational grounds by moving from the ad hoc representations typical of current programs toward more principled representation languages now in use or under construction. Our experience with the project reported here suggests caution, however. Attempts at cleanliness and efficiency in the design of representation languages lead to a poverty of expressiveness that makes it difficult if not impossible to say in such languages what needs to be stated to support the application.

Speech, language, and cognitive dysfunction in children with focal epileptiform activity: A follow-up study.

PubMed

Rejnö-Habte Selassie, Gunilla; Hedström, Anders; Viggedal, Gerd; Jennische, Margareta; Kyllerman, Mårten

2010-07-01

We reviewed the medical history, EEG recordings, and developmental milestones of 19 children with speech and language dysfunction and focal epileptiform activity. Speech, language, and neuropsychological assessments and EEG recordings were performed at follow-up, and prognostic indicators were analyzed. Three patterns of language development were observed: late start and slow development, late start and deterioration/regression, and normal start and later regression/deterioration. No differences in test results among these groups were seen, indicating a spectrum of related conditions including Landau-Kleffner syndrome and epileptic language disorder. More than half of the participants had speech and language dysfunction at follow-up. IQ levels, working memory, and processing speed were also affected. Dysfunction of auditory perception in noise was found in more than half of the participants, and dysfunction of auditory attention in all. Dysfunction of communication, oral motor ability, and stuttering were noted in a few. Family history of seizures and abundant epileptiform activity indicated a worse prognosis. Copyright 2010 Elsevier Inc. All rights reserved.

Biomedical information retrieval across languages.

PubMed

Daumke, Philipp; Markü, Kornél; Poprat, Michael; Schulz, Stefan; Klar, Rüdiger

2007-06-01

This work presents a new dictionary-based approach to biomedical cross-language information retrieval (CLIR) that addresses many of the general and domain-specific challenges in current CLIR research. Our method is based on a multilingual lexicon that was generated partly manually and partly automatically, and currently covers six European languages. It contains morphologically meaningful word fragments, termed subwords. Using subwords instead of entire words significantly reduces the number of lexical entries necessary to sufficiently cover a specific language and domain. Mediation between queries and documents is based on these subwords as well as on lists of word-n-grams that are generated from large monolingual corpora and constitute possible translation units. The translations are then sent to a standard Internet search engine. This process makes our approach an effective tool for searching the biomedical content of the World Wide Web in different languages. We evaluate this approach using the OHSUMED corpus, a large medical document collection, within a cross-language retrieval setting.

Requirements for Medical Modeling Languages

PubMed Central

van der Maas, Arnoud A.F.; Ter Hofstede, Arthur H.M.; Ten Hoopen, A. Johannes

2001-01-01

Objective: The development of tailor-made domain-specific modeling languages is sometimes desirable in medical informatics. Naturally, the development of such languages should be guided. The purpose of this article is to introduce a set of requirements for such languages and show their application in analyzing and comparing existing modeling languages. Design: The requirements arise from the practical experience of the authors and others in the development of modeling languages in both general informatics and medical informatics. The requirements initially emerged from the analysis of information modeling techniques. The requirements are designed to be orthogonal, i.e., one requirement can be violated without violation of the others. Results: The proposed requirements for any modeling language are that it be “formal” with regard to syntax and semantics, “conceptual,” “expressive,” “comprehensible,” “suitable,” and “executable.” The requirements are illustrated using both the medical logic modules of the Arden Syntax as a running example and selected examples from other modeling languages. Conclusion: Activity diagrams of the Unified Modeling Language, task structures for work flows, and Petri nets are discussed with regard to the list of requirements, and various tradeoffs are thus made explicit. It is concluded that this set of requirements has the potential to play a vital role in both the evaluation of existing domain-specific languages and the development of new ones. PMID:11230383

Use of Observational Learning Enhanced Instruction in Low Language Competency Audiences

ERIC Educational Resources Information Center

Zain-ul-abdin, Khawaja

2013-01-01

This dissertation investigates the use of observational learning enhanced health instruction to mitigate problems of low language competency among learners. Low language competency can cause improper comprehension of medical instruction and health education, resulting in misdiagnosis, reduced recall, under reporting of medical conditions and…

Language barriers and epistemic injustice in healthcare settings.

PubMed

Peled, Yael

2018-05-09

Contemporary realities of global population movement increasingly bring to the fore the challenge of quality and equitable health provision across language barriers. While this linguistic challenge is not unique to immigration contexts and is likewise shared by health systems responding to the needs of aboriginal peoples and other historical linguistic minorities, the expanding multilingual landscape of receiving societies renders this challenge even more critical, owing to limited or even non-existing familiarity of modern and often monolingual health systems with the particular needs of new linguistic minorities. The centrality of language to health beliefs, attitudes, practices, cultural scripts, and conceptual frameworks emphasizes its pivotal role in the healthcare process, and consequently in the adverse effects of treatment that is language-insensitive and unaware. Such an attitude on the part of medical authorities risks considerable epistemic injustice in the form of a (mis)judgement of patients' intelligence, credibility, and rationality based on the language that they speak and the manner in which they speak it, consequently impacting the quality and equity of care provided. This danger, I argue, may be effectively countered by fostering among the participants in the healthcare process a sense of epistemic humility through greater metalinguistic awareness. Outlining a range of operative steps that can be used to facilitate this. I argue that the reality of language barriers in the healthcare process, while not entirely eliminable, may nevertheless be successfully addressed, in order to mitigate the challenge of quality and equitable healthcare provision in multilingual societies. © 2018 John Wiley & Sons Ltd.

English for Medical Purposes for Saudi Medical and Health Professionals

ERIC Educational Resources Information Center

Alqurashi, Fahad

2016-01-01

This study explored the English language needs of 156 Saudi fellowship doctors and students of medical majors who are enrolled at medical and training programs in Australian hospitals and universities. Data were collected via a questionnaire adopted from a previous study. Participants' responses showed the most frequently used language subskills…

MorphoSaurus--design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain.

PubMed

Markó, K; Schulz, S; Hahn, U

2005-01-01

We propose an interlingua-based indexing approach to account for the particular challenges that arise in the design and implementation of cross-language document retrieval systems for the medical domain. Documents, as well as queries, are mapped to a language-independent conceptual layer on which retrieval operations are performed. We contrast this approach with the direct translation of German queries to English ones which, subsequently, are matched against English documents. We evaluate both approaches, interlingua-based and direct translation, on a large medical document collection, the OHSUMED corpus. A substantial benefit for interlingua-based document retrieval using German queries on English texts is found, which amounts to 93% of the (monolingual) English baseline. Most state-of-the-art cross-language information retrieval systems translate user queries to the language(s) of the target documents. In contra-distinction to this approach, translating both documents and user queries into a language-independent, concept-like representation format is more beneficial to enhance cross-language retrieval performance.

LISP as an Environment for Software Design: Powerful and Perspicuous

PubMed Central

Blum, Robert L.; Walker, Michael G.

1986-01-01

The LISP language provides a useful set of features for prototyping knowledge-intensive, clinical applications software that is not found In most other programing environments. Medical computer programs that need large medical knowledge bases, such as programs for diagnosis, therapeutic consultation, education, simulation, and peer review, are hard to design, evolve continually, and often require major revisions. They necessitate an efficient and flexible program development environment. The LISP language and programming environments bullt around it are well suited for program prototyping. The lingua franca of artifical intelligence researchers, LISP facllitates bullding complex systems because it is simple yet powerful. Because of its simplicity, LISP programs can read, execute, modify and even compose other LISP programs at run time. Hence, it has been easy for system developers to create programming tools that greatly speed the program development process, and that may be easily extended by users. This has resulted in the creation of many useful graphical interfaces, editors, and debuggers, which facllitate the development of knowledge-intensive medical applications.

The Relationship between Multiple Intelligences and Writing Skill of Medical Students in Iran

ERIC Educational Resources Information Center

Rad, Rezvan Sajjadi; Khojasteh, Laleh; Kafipour, Reza

2014-01-01

The problem which this research intended to resolve is that beside many differences between individuals' characteristics that might impact their language learning process, there's often a different neglected component which is "Intelligence". Although there are several researches about the relationship between students' multiple…

Emerging Innovation: Allied Health Fields

ERIC Educational Resources Information Center

Lang, Janell B.

2004-01-01

This article takes a closer look at emerging fields in the allied health arena. The relatively new field of Health Information Technology is one of the exciting prospects, surging with growth opportunities. These individuals are medical language experts who interpret, process, store and retrieve health information for research and data collection.…

Common Ground: An Interactive Visual Exploration and Discovery for Complex Health Data

DTIC Science & Technology

2015-04-01

working with Intermountain Healthcare on a new rich dataset extracted directly from medical notes using natural language processing ( NLP ) algorithms...probabilities based on a state- of-the-art NLP classifiers. At that stage the data did not include geographic information or temporal information but we

Artificial Intelligence in Medical Practice: The Question to the Answer?

PubMed

Miller, D Douglas; Brown, Eric W

2018-02-01

Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice remains an unanswered question. Machines (computers) learn to detect patterns not decipherable using biostatistics by processing massive datasets (big data) through layered mathematical models (algorithms). Correcting algorithm mistakes (training) adds to AI predictive model confidence. AI is being successfully applied for image analysis in radiology, pathology, and dermatology, with diagnostic speed exceeding, and accuracy paralleling, medical experts. While diagnostic confidence never reaches 100%, combining machines plus physicians reliably enhances system performance. Cognitive programs are impacting medical practice by applying natural language processing to read the rapidly expanding scientific literature and collate years of diverse electronic medical records. In this and other ways, AI may optimize the care trajectory of chronic disease patients, suggest precision therapies for complex illnesses, reduce medical errors, and improve subject enrollment into clinical trials. Copyright © 2018 Elsevier Inc. All rights reserved.

Computer Programming Languages for Health Care

PubMed Central

O'Neill, Joseph T.

1979-01-01

This paper advocates the use of standard high level programming languages for medical computing. It recommends that U.S. Government agencies having health care missions implement coordinated policies that encourage the use of existing standard languages and the development of new ones, thereby enabling them and the medical computing community at large to share state-of-the-art application programs. Examples are based on a model that characterizes language and language translator influence upon the specification, development, test, evaluation, and transfer of application programs.

Medical Spanish: A Functional Approach.

ERIC Educational Resources Information Center

Hendrickson, James M.

A functional approach to language teaching begins with knowing how students intend to use the foreign language for specific purposes and in specific situations. Instructors of medical Spanish can begin by determining the specific language functions that their students must be able to express when communicating with Hispanic patients, by means of a…

Time is of the Essence: A Review of Electroencephalography (EEG) and Event-Related Brain Potentials (ERPs) in Language Research.

PubMed

Beres, Anna M

2017-12-01

The discovery of electroencephalography (EEG) over a century ago has changed the way we understand brain structure and function, in terms of both clinical and research applications. This paper starts with a short description of EEG and then focuses on the event-related brain potentials (ERPs), and their use in experimental settings. It describes the typical set-up of an ERP experiment. A description of a number of ERP components typically involved in language research is presented. Finally, the advantages and disadvantages of using ERPs in language research are discussed. EEG has an extensive use in today's world, including medical, psychology, or linguistic research. The excellent temporal resolution of EEG information allows one to track a brain response in milliseconds and therefore makes it uniquely suited to research concerning language processing.

Non-adherence to Newly Prescribed Diabetes Medications among Insured Latino and White Patients with Diabetes

PubMed Central

Fernández, Alicia; Quan, Judy; Moffet, Howard; Parker, Melissa M.; Schillinger, Dean; Karter, Andrew J.

2017-01-01

Importance Medication adherence is essential to diabetes care. Patient-provider language barriers may impact medication adherence among Latinos. Objective Determine the role of patient ethnicity, preferred language, and provider language concordance on adherence to newly prescribed diabetes medications. Design Observational study, 2006–2012. Setting Large, integrated health care delivery system with professional interpreter services. Participants Insured patients with type 2 diabetes, including English-speaking whites, English-speaking Latinos, or Limited English proficiency (LEP) Latinos with newly prescribed diabetes medication. Exposures Patient ethnicity, preferred language, and provider self-reported Spanish language fluency. Main Outcomes and Measures Primary non-adherence (never dispensed), early stage non-persistence (dispensed only once), late stage non-persistence (received ≥2 dispensings, but discontinued within 24 months), inadequate overall medication adherence (>20% time without sufficient medication supply during 24 months after initial prescription) based on new prescription medication gaps (NPMG). Results Participants included 21,878 whites, 5,755 English-speaking Latinos, and 3,205 LEP Latinos with 46,131 prescriptions for new diabetes medications. Among LEP Latinos, 50.2% had a primary care provider reporting high Spanish fluency. For oral medications, early adherence varied substantially: 32.2% of LEP Latinos, 27.2% of English-speaking Latinos and 18.3% of whites were either primary non-adherent or early non-persistent (p<0.05). Inadequate overall adherence was observed in 60.2% of LEP Latinos, 51.7% of English-speaking Latinos and 37.5% of whites. For insulin, early stage non-persistence was 42.8% among LEP Latinos, 34.4% among English-speaking Latinos, and 28.5 % among whites (p<0.05). After adjustment for patient demographic and clinical characteristics and provider demographics, LEP Latinos were more likely to be non-adherent to oral medications and insulin than English-speaking Latinos [RRs 1.11–1.17, p<0.05] or whites [RRs 1.36–1.49, p<0.05]. English-speaking Latinos were more likely to be non-adherent compared to whites [RRs 1.23–1.30. p<0.05]. Patient-provider language concordance was not associated with rates of non-adherence among LEP Latinos. Conclusions and Relevance Non-adherence to newly prescribed diabetes medication is substantially greater among Latinos than whites, even among English-speaking Latinos. LEP Latino patients are more likely to be non-adherent than English-speaking Latinos independent of the Spanish language fluency of their providers. Interventions beyond ensuring access to interpreters or patient-provider language concordance will be required to improve medication adherence among Latino patients with diabetes. PMID:28114642

Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology.

PubMed

Reiner, Bruce I

2018-04-01

Uncertainty in text-based medical reports has long been recognized as problematic, frequently resulting in misunderstanding and miscommunication. One strategy for addressing the negative clinical ramifications of report uncertainty would be the creation of a standardized methodology for characterizing and quantifying uncertainty language, which could provide both the report author and reader with context related to the perceived level of diagnostic confidence and accuracy. A number of computerized strategies could be employed in the creation of this analysis including string search, natural language processing and understanding, histogram analysis, topic modeling, and machine learning. The derived uncertainty data offers the potential to objectively analyze report uncertainty in real time and correlate with outcomes analysis for the purpose of context and user-specific decision support at the point of care, where intervention would have the greatest clinical impact.

Teaching colloquial Australian English to medical students from non-English speaking backgrounds.

PubMed

Chur-Hansen, A; Barrett, R J

1996-11-01

Lack of fluency in the language of instruction can form a barrier to medical education. There has been an effort within Australian universities to teach English to students from non-English speaking backgrounds (NESB), but little systematic attention has been given to the teaching of informal or colloquial English. This paper provides evidence that colloquial language is a pervasive and important aspect of doctor-patient communication. It describes a teaching project for NESB medical students which aimed to introduce them to colloquial English, and to provide them with a contextual approach to learning this form of language. Forty-four first year medical students enrolled at the University of Adelaide were required to gather examples of colloquial language by interviewing a native English speaker. Ninety-four examples of colloquial sayings were recorded. These were compiled in the form of a handbook which served as a student resource. Student evaluation of this exercise was positive. The benefits of an interactive method of teaching local and setting-specific language are discussed, and the implications of this approach for clinical teaching and for medical practice are explored.

Multilingual natural language generation as part of a medical terminology server.

PubMed

Wagner, J C; Solomon, W D; Michel, P A; Juge, C; Baud, R H; Rector, A L; Scherrer, J R

1995-01-01

Re-usable and sharable, and therefore language-independent concept models are of increasing importance in the medical domain. The GALEN project (Generalized Architecture for Languages Encyclopedias and Nomenclatures in Medicine) aims at developing language-independent concept representation systems as the foundations for the next generation of multilingual coding systems. For use within clinical applications, the content of the model has to be mapped to natural language. A so-called Multilingual Information Module (MM) establishes the link between the language-independent concept model and different natural languages. This text generation software must be versatile enough to cope at the same time with different languages and with different parts of a compositional model. It has to meet, on the one hand, the properties of the language as used in the medical domain and, on the other hand, the specific characteristics of the underlying model and its representation formalism. We propose a semantic-oriented approach to natural language generation that is based on linguistic annotations to a concept model. This approach is realized as an integral part of a Terminology Server, built around the concept model and offering different terminological services for clinical applications.

Analysis of user activities on popular medical forums

NASA Astrophysics Data System (ADS)

Kamalov, M. V.; Dobrynin, V. Y.; Balykina, Y. E.; Martynov, R. S.

2017-10-01

The paper is devoted to detailed investigation of users’ behavior and level of expertise on online medical forums. Two popular forums were analyzed in terms of presence of experts who answer health related questions and participate in discussions. This study provides insight into the quality of medical information that one can get from the web resources, and also illustrates relationship between approved medical experts and popular authors of the considered forums. During experiments several machine learning and natural language processing methods were evaluated against to available web content to get further understanding of structure and distribution of information about medicine available online nowadays. As a result of this study the hypothesis of existing correlation between approved medical experts and popular authors has been rejected.

Right or wrong? The brain's fast response to morally objectionable statements.

PubMed

Van Berkum, Jos J A; Holleman, Bregje; Nieuwland, Mante; Otten, Marte; Murre, Jaap

2009-09-01

How does the brain respond to statements that clash with a person's value system? We recorded event-related brain potentials while respondents from contrasting political-ethical backgrounds completed an attitude survey on drugs, medical ethics, social conduct, and other issues. Our results show that value-based disagreement is unlocked by language extremely rapidly, within 200 to 250 ms after the first word that indicates a clash with the reader's value system (e.g., "I think euthanasia is an acceptable/unacceptable..."). Furthermore, strong disagreement rapidly influences the ongoing analysis of meaning, which indicates that even very early processes in language comprehension are sensitive to a person's value system. Our results testify to rapid reciprocal links between neural systems for language and for valuation.

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.

Patient empowerment by increasing the understanding of medical language for lay users.

PubMed

Topac, V; Stoicu-Tivadar, V

2013-01-01

Patient empowerment is important in order to increase the quality of medical care and the life quality of the patients. An important obstacle for empowering patients is the language barrier the lay patient encounter when accessing medical information. To design and develop a service that will help increase the understanding of medical language for lay persons. The service identifies and explains medical terminology from a given text by annotating the terms in the original text with the definition. It is based on an original terminology interpretation engine that uses a fuzzy matching dictionary. The service was implemented in two projects: a) into the server of a tele-care system (TELEASIS) with the purpose of adapting medical text assigned by medical personnel for the assisted patients. b) Into a dedicated web site that can adapt the medical language from raw text or from existing web pages. The output of the service was evaluated by a group of persons, and the results indicate that such a system can increase the understanding of medical texts. Several design decisions were driven from the evaluation, and are being considered for future development. Other tests measuring accuracy and time performance for the fuzzy terminology recognition have been performed. Test results revealed good performance for accuracy and excellent results regarding time performance. The current version of the service increases the accessibility of medical language by explaining terminology with a good accuracy, while allowing the user to easily identify errors, in order to reduce the risk of incorrect terminology recognition.

NLPReViz: an interactive tool for natural language processing on clinical text.

PubMed

Trivedi, Gaurav; Pham, Phuong; Chapman, Wendy W; Hwa, Rebecca; Wiebe, Janyce; Hochheiser, Harry

2018-01-01

The gap between domain experts and natural language processing expertise is a barrier to extracting understanding from clinical text. We describe a prototype tool for interactive review and revision of natural language processing models of binary concepts extracted from clinical notes. We evaluated our prototype in a user study involving 9 physicians, who used our tool to build and revise models for 2 colonoscopy quality variables. We report changes in performance relative to the quantity of feedback. Using initial training sets as small as 10 documents, expert review led to final F1scores for the "appendiceal-orifice" variable between 0.78 and 0.91 (with improvements ranging from 13.26% to 29.90%). F1for "biopsy" ranged between 0.88 and 0.94 (-1.52% to 11.74% improvements). The average System Usability Scale score was 70.56. Subjective feedback also suggests possible design improvements. © 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.

Healthy eating for life: rationale and development of an English as a second language (ESL) curriculum for promoting healthy nutrition.

PubMed

Martinez, Josefa L; Rivers, Susan E; Duncan, Lindsay R; Bertoli, Michelle; Domingo, Samantha; Latimer-Cheung, Amy E; Salovey, Peter

2013-12-01

Low health literacy contributes significantly to cancer health disparities disadvantaging minorities and the medically underserved. Immigrants to the United States constitute a particularly vulnerable subgroup of the medically underserved, and because many are non-native English speakers, they are pre-disposed to encounter language and literacy barriers across the cancer continuum. Healthy Eating for Life (HE4L) is an English as a second language (ESL) curriculum designed to teach English language and health literacy while promoting fruit and vegetable consumption for cancer prevention. This article describes the rationale, design, and content of HE4L. HE4L is a content-based adult ESL curriculum grounded in the health action process approach to behavior change. The curriculum package includes a soap opera-like storyline, an interactive student workbook, a teacher's manual, and audio files. HE4L is the first teacher-administered, multimedia nutrition-education curriculum designed to reduce cancer risk among beginning-level ESL students. HE4L is unique because it combines adult ESL principles, health education content, and behavioral theory. HE4L provides a case study of how evidence-based, health promotion practices can be implemented into real-life settings and serves as a timely, useful, and accessible nutrition-education resource for health educators.

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

Spanish-language community-based mental health treatment programs, policy-required language-assistance programming, and mental health treatment access among Spanish-speaking clients.

PubMed

Snowden, Lonnie R; McClellan, Sean R

2013-09-01

We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California's Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997-2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services.

Spanish-Language Community-Based Mental Health Treatment Programs, Policy-Required Language-Assistance Programming, and Mental Health Treatment Access Among Spanish-Speaking Clients

PubMed Central

McClellan, Sean R.

2013-01-01

Objectives. We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California’s Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Methods. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997–2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. Results. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Conclusions. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services. PMID:23865663

Case-based medical informatics

PubMed Central

Pantazi, Stefan V; Arocha, José F; Moehr, Jochen R

2004-01-01

Background The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four interconnected modalities of knowledge. In addition to the traditional differentiation between implicit and explicit knowledge we outline the concepts of general and individual knowledge. We connect general knowledge with the "frame problem," a fundamental issue of artificial intelligence, and individual knowledge with another important paradigm of artificial intelligence, case-based reasoning, a method of individual knowledge processing that aims at solving new problems based on the solutions to similar past problems. We outline the fundamental differences between Medical Informatics and theoretical sciences and propose that Medical Informatics research should advance individual knowledge processing (case-based reasoning) and that natural language processing research is an important step towards this goal that may have ethical implications for patient-centered health medicine. Discussion We focus on fundamental aspects of decision-making, which connect human expertise with individual knowledge processing. We continue with a knowledge spectrum perspective on biomedical knowledge and conclude that case-based reasoning is the paradigm that can advance towards personalized healthcare and that can enable the education of patients and providers. We center the discussion on formal methods of knowledge representation around the frame problem. We propose a context-dependent view on the notion of "meaning" and advocate the need for case-based reasoning research and natural language processing. In the context of memory based knowledge processing, pattern recognition, comparison and analogy-making, we conclude that while humans seem to naturally support the case-based reasoning paradigm (memory of past experiences of problem-solving and powerful case matching mechanisms), technical solutions are challenging. Finally, we discuss the major challenges for a technical solution: case record comprehensiveness, organization of information on similarity principles, development of pattern recognition and solving ethical issues. Summary Medical Informatics is an applied science that should be committed to advancing patient-centered medicine through individual knowledge processing. Case-based reasoning is the technical solution that enables a continuous individual knowledge processing and could be applied providing that challenges and ethical issues arising are addressed appropriately. PMID:15533257

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text

PubMed Central

Yu, Jian

2017-01-01

Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine. Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition. We hypothesized that this approach could avoid the side effects of abundant negative samples and improve the performance of the named entity recognition from admission notes written in Chinese. Therefore, we applied this approach to a test set of 324 Chinese-written admission notes with manual annotation by medical experts. Our data demonstrated that this approach had a score of 94.2% in precision, 92.8% in recall, and 93.5% in F-measure for the recognition of traditional Chinese medicine drug names and 91.2% in precision, 92.6% in recall, and 91.7% F-measure for the recognition of Western medicine drug names. The differences in F-measure were significant compared with those in the baseline systems. PMID:29065612

Evaluation and treatment of students with difficulties passing the Step examinations.

PubMed

Laatsch, Linda

2009-05-01

The author designed this retrospective case series study both to systematically examine characteristics of individuals referred for treatment after multiple failures on the United States Medical Licensing Examinations (USMLE) Step 1 or 2 administered by the National Board of Medical Examiners and to evaluate treatment effectiveness in a uniform sample. Six medical students referred to rehabilitation psychology met selection criteria. All students completed the requisite neuropsychological, academic, and psychological testing to identify cognitive and emotional strengths and weaknesses. All six underwent individualized cognitive rehabilitation (CR) with a primary focus on reading fluency and accuracy. All participants improved on a quantitative measure of reading speed and accuracy, and five of the six passed their next USLME Step examination in spite of past failures. Medical students with identified difficulties on reading fluency, but no history of a learning disability, may benefit from systematic CR that addresses cognitive weaknesses related to test-taking abilities. The strong relationships between language and reading skills and the USMLE Step examinations suggest that some students may fail these examinations because of a relative weakness in language processing and reading fluency that may prohibit their successful completion of the Step examinations.

Risk communication and informed consent in the medical tourism industry: a thematic content analysis of Canadian broker websites.

PubMed

Penney, Kali; Snyder, Jeremy; Crooks, Valorie A; Johnston, Rory

2011-09-26

Medical tourism, thought of as patients seeking non-emergency medical care outside of their home countries, is a growing industry worldwide. Canadians are amongst those engaging in medical tourism, and many are helped in the process of accessing care abroad by medical tourism brokers - agents who specialize in making international medical care arrangements for patients. As a key source of information for these patients, brokers are likely to play an important role in communicating the risks and benefits of undergoing surgery or other procedures abroad to their clientele. This raises important ethical concerns regarding processes such as informed consent and the liability of brokers in the event that complications arise from procedures. The purpose of this article is to examine the language, information, and online marketing of Canadian medical tourism brokers' websites in light of such ethical concerns. An exhaustive online search using multiple search engines and keywords was performed to compile a comprehensive directory of English-language Canadian medical tourism brokerage websites. These websites were examined using thematic content analysis, which included identifying informational themes, generating frequency counts of these themes, and comparing trends in these counts to the established literature. Seventeen websites were identified for inclusion in this study. It was found that Canadian medical tourism broker websites varied widely in scope, content, professionalism and depth of information. Three themes emerged from the thematic content analysis: training and accreditation, risk communication, and business dimensions. Third party accreditation bodies of debatable regulatory value were regularly mentioned on the reviewed websites, and discussion of surgical risk was absent on 47% of the websites reviewed, with limited discussion of risk on the remaining ones. Terminology describing brokers' roles was somewhat inconsistent across the websites. Finally, brokers' roles in follow up care, their prices, and the speed of surgery were the most commonly included business dimensions on the reviewed websites. Canadian medical tourism brokers currently lack a common standard of care and accreditation, and are widely lacking in providing adequate risk communication for potential medical tourists. This has implications for the informed consent and consequent safety of Canadian medical tourists.

Risk communication and informed consent in the medical tourism industry: A thematic content analysis of canadian broker websites

PubMed Central

2011-01-01

Background Medical tourism, thought of as patients seeking non-emergency medical care outside of their home countries, is a growing industry worldwide. Canadians are amongst those engaging in medical tourism, and many are helped in the process of accessing care abroad by medical tourism brokers - agents who specialize in making international medical care arrangements for patients. As a key source of information for these patients, brokers are likely to play an important role in communicating the risks and benefits of undergoing surgery or other procedures abroad to their clientele. This raises important ethical concerns regarding processes such as informed consent and the liability of brokers in the event that complications arise from procedures. The purpose of this article is to examine the language, information, and online marketing of Canadian medical tourism brokers' websites in light of such ethical concerns. Methods An exhaustive online search using multiple search engines and keywords was performed to compile a comprehensive directory of English-language Canadian medical tourism brokerage websites. These websites were examined using thematic content analysis, which included identifying informational themes, generating frequency counts of these themes, and comparing trends in these counts to the established literature. Results Seventeen websites were identified for inclusion in this study. It was found that Canadian medical tourism broker websites varied widely in scope, content, professionalism and depth of information. Three themes emerged from the thematic content analysis: training and accreditation, risk communication, and business dimensions. Third party accreditation bodies of debatable regulatory value were regularly mentioned on the reviewed websites, and discussion of surgical risk was absent on 47% of the websites reviewed, with limited discussion of risk on the remaining ones. Terminology describing brokers' roles was somewhat inconsistent across the websites. Finally, brokers' roles in follow up care, their prices, and the speed of surgery were the most commonly included business dimensions on the reviewed websites. Conclusion Canadian medical tourism brokers currently lack a common standard of care and accreditation, and are widely lacking in providing adequate risk communication for potential medical tourists. This has implications for the informed consent and consequent safety of Canadian medical tourists. PMID:21943392

Adherence as a language game.

PubMed

Kolberg, Espen Skarstein

2017-04-01

Non-adherence, i.e. medication intake behavior not corresponding with agreed recommendations, is associated with increased morbidity and death, and it has been estimated that as many as 50% of patients in developed countries are not taking their medications as prescribed. But even as efforts in improving medication adherence over the years have increased, results are inconsistent, with only a minority of clinical trials showing any improvement in both adherence and clinical outcome. Since patient education is central to promoting good medication adherence, and language is integral to education, perhaps an exploration of the meaning and use of language, using the philosophy of Ludwig Wittgenstein, is in order.

Proceedings of the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology

NASA Technical Reports Server (NTRS)

Hyde, Patricia R.; Loftin, R. Bowen

1993-01-01

The volume 2 proceedings from the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology are presented. Topics discussed include intelligent computer assisted training (ICAT) systems architectures, ICAT educational and medical applications, virtual environment (VE) training and assessment, human factors engineering and VE, ICAT theory and natural language processing, ICAT military applications, VE engineering applications, ICAT knowledge acquisition processes and applications, and ICAT aerospace applications.

Medical Ethics and the Learner-Centred Approach: Developing Materials on Organ Transplant and Euthanasia in an English as a Foreign Language Classroom in Higher Education

ERIC Educational Resources Information Center

Jamrichová, Valéria; Zamborová, Katarína

2016-01-01

A learner-centred approach puts students amidst the learning process and helps them become involved in that process. It provides an opportunity for students to choose and direct the course of the lesson. This approach is especially appropriate when dealing with ethical concerns that might be sensitive issues. When it comes to the sources for the…

[Unravelling medical leadership].

PubMed

Voogt, Judith J; van Rensen, Elizabeth L J; Noordegraaf, Mirko; Schneider, Margriet M E

2015-01-01

Medical leadership is a popular topic in the Netherlands, and several interest groups now incorporate medical leadership into postgraduate medical education. However, there is no consensus on what this concept entails. By conducting a discourse analysis, a qualitative method which uses language and text to reveal existing viewpoints, this article reveals three perspectives on medical leadership: administrative leadership, leadership within organisations and leadership within each doctor's daily practice. Text analysis shows that the first two perspectives refer to medical leadership mainly in a defensive manner: by demonstrating medical leadership doctors could 'take the lead' once again; patient care only seems to play a small part in the process. These perspectives are not free of consequences, they will determine how the medical profession is constructed. For this reason, it is argued that there should be more emphasis on the third perspective, in which the quality of care for patients is of primary importance.

Studies of biochemistry and clinical biochemistry. Studies at sample medical schools in 13 EU countries regarding biochemistry and clinical biochemistry teaching.

PubMed

Stern, Petr; Sebesta, Ivan; Trnkova, Bohuslava; Zima, Tomas

2008-07-01

The study summarizes the results obtained during personal visits to 53 medical schools in the 13 original EU countries during 2004--2006. Data from the Czech Republic is shown for comparison. The possibilities of acquiring information from the websites of the medical schools in the local language and English are assessed. The admission process to medical schools and the organization of studies of medicine, dentistry, and non-medical healthcare fields are briefly characterized. Significant attention is paid to the forms of education in biochemistry and clinical (bio)chemistry in the medical study field. The position of these subjects in the studies of dentistry and non-medical healthcare fields is also noted. In addition, the course of subject exams is described. The methods of funding and postgraduate studies at the medical schools are also briefly addressed.

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.

PubMed

Gehrmann, Sebastian; Dernoncourt, Franck; Li, Yeran; Carlson, Eric T; Wu, Joy T; Welt, Jonathan; Foote, John; Moseley, Edward T; Grant, David W; Tyler, Patrick D; Celi, Leo A

2018-01-01

In secondary analysis of electronic health records, a crucial task consists in correctly identifying the patient cohort under investigation. In many cases, the most valuable and relevant information for an accurate classification of medical conditions exist only in clinical narratives. Therefore, it is necessary to use natural language processing (NLP) techniques to extract and evaluate these narratives. The most commonly used approach to this problem relies on extracting a number of clinician-defined medical concepts from text and using machine learning techniques to identify whether a particular patient has a certain condition. However, recent advances in deep learning and NLP enable models to learn a rich representation of (medical) language. Convolutional neural networks (CNN) for text classification can augment the existing techniques by leveraging the representation of language to learn which phrases in a text are relevant for a given medical condition. In this work, we compare concept extraction based methods with CNNs and other commonly used models in NLP in ten phenotyping tasks using 1,610 discharge summaries from the MIMIC-III database. We show that CNNs outperform concept extraction based methods in almost all of the tasks, with an improvement in F1-score of up to 26 and up to 7 percentage points in area under the ROC curve (AUC). We additionally assess the interpretability of both approaches by presenting and evaluating methods that calculate and extract the most salient phrases for a prediction. The results indicate that CNNs are a valid alternative to existing approaches in patient phenotyping and cohort identification, and should be further investigated. Moreover, the deep learning approach presented in this paper can be used to assist clinicians during chart review or support the extraction of billing codes from text by identifying and highlighting relevant phrases for various medical conditions.

A comprehensive strategy for designing a Web-based medical curriculum.

PubMed Central

Zucker, J.; Chase, H.; Molholt, P.; Bean, C.; Kahn, R. M.

1996-01-01

In preparing for a full featured online curriculum, it is necessary to develop scaleable strategies for software design that will support the pedagogical goals of the curriculum and which will address the issues of acquisition and updating of materials, of robust content-based linking, and of integration of the online materials into other methods of learning. A complete online curriculum, as distinct from an individual computerized module, must provide dynamic updating of both content and structure and an easy pathway from the professor's notes to the finished online product. At the College of Physicians and Surgeons, we are developing such strategies including a scripted text conversion process that uses the Hypertext Markup Language (HTML) as structural markup rather than as display markup, automated linking by the use of relational databases and the Unified Medical Language System (UMLS), integration of text, images, and multimedia along with interface designs which promote multiple contexts and collaborative study. PMID:8947624

Language barriers and patient safety risks in hospital care. A mixed methods study.

PubMed

van Rosse, Floor; de Bruijne, Martine; Suurmond, Jeanine; Essink-Bot, Marie-Louise; Wagner, Cordula

2016-02-01

A language barrier has been shown to be a threat for quality of hospital care. International studies highlighted a lack of adequate noticing, reporting, and bridging of a language barrier. However, studies on the link between language proficiency and patient safety are scarce, especially in Europe. The present study investigates patient safety risks due to language barriers during hospitalization, and the way language barriers are detected, reported, and bridged in Dutch hospital care. We combined quantitative and qualitative methods in a sample of 576 ethnic minority patients who were hospitalized on 30 wards within four urban hospitals. The nursing and medical records of 17 hospital admissions of patients with language barriers were qualitatively analyzed, and complemented by 12 in-depth interviews with care providers and patients and/or their relatives to identify patient safety risks during hospitalization. The medical records of all 576 patients were screened for language barrier reports. The results were compared to patients' self-reported Dutch language proficiency. The policies of wards regarding bridging language barriers were compared with the reported use of interpreters in the medical records. Situations in hospital care where a language barrier threatened patient safety included daily nursing tasks (i.e. medication administration, pain management, fluid balance management) and patient-physician interaction concerning diagnosis, risk communication and acute situations. In 30% of the patients that reported a low Dutch proficiency, no language barrier was documented in the patient record. Relatives of patients often functioned as interpreter for them and professional interpreters were hardly used. The present study showed a wide variety of risky situations in hospital care for patients with language barriers. These risks can be reduced by adequately bridging the language barrier, which, in the first place, demands adequate detecting and reporting of a language barrier. This is currently not sufficiently done in most Dutch hospitals. Moreover, new solutions to bridge language barriers are needed for situations such as routine safety checks performed by nurses, in which a professional or even informal interpreter is not feasible. Copyright © 2015 Elsevier Ltd. All rights reserved.

English language proficiency and academic performance: A study of a medical preparatory year program in Saudi Arabia

PubMed Central

Kaliyadan, Feroze; Thalamkandathil, Nazer; Parupalli, Srinivas Rao; Amin, Tarek Tawfik; Balaha, Magdy Hassan; Al Bu Ali, Waleed Hamad

2015-01-01

Introduction: All medical schools in Saudi Arabia have English as the primary official medium of instruction. Most of the high school education, however, is delivered in Arabic and hence the transition to an English based learning environment tends to be difficult for some students. Our study aims to correlate English language proficiency with academic performance among medical students in their preparatory year. Methods: A cross-sectional study design was used. Test scores of 103 preparatory year students (54 female and 49 male) were analyzed after the students completed an English language course and medical introductory course in their preparatory year. The total score obtained in the English course assessment was compared to each component of the medical content assessment. Results: A significantly positive correlation (Spearman's Rho, at 0.01 levels) was seen between the scores of the English exam and the written exam (P <0.001) and the oral exam (P = −0.003) parts respectively of the medical examination. Significant correlation with the English exam score was not obtained for the other components of the medical assessment, namely; student assignments, presentations and portfolios. Conclusion: English language proficiency is an important factor in determining academic proficiency of medical students in our college at the preparatory year level. PMID:26629471

English language proficiency and academic performance: A study of a medical preparatory year program in Saudi Arabia.

PubMed

Kaliyadan, Feroze; Thalamkandathil, Nazer; Parupalli, Srinivas Rao; Amin, Tarek Tawfik; Balaha, Magdy Hassan; Al Bu Ali, Waleed Hamad

2015-01-01

All medical schools in Saudi Arabia have English as the primary official medium of instruction. Most of the high school education, however, is delivered in Arabic and hence the transition to an English based learning environment tends to be difficult for some students. Our study aims to correlate English language proficiency with academic performance among medical students in their preparatory year. A cross-sectional study design was used. Test scores of 103 preparatory year students (54 female and 49 male) were analyzed after the students completed an English language course and medical introductory course in their preparatory year. The total score obtained in the English course assessment was compared to each component of the medical content assessment. A significantly positive correlation (Spearman's Rho, at 0.01 levels) was seen between the scores of the English exam and the written exam (P <0.001) and the oral exam (P = -0.003) parts respectively of the medical examination. Significant correlation with the English exam score was not obtained for the other components of the medical assessment, namely; student assignments, presentations and portfolios. English language proficiency is an important factor in determining academic proficiency of medical students in our college at the preparatory year level.

A Spanish language and culture initiative for a doctor of pharmacy curriculum.

PubMed

VanTyle, W Kent; Kennedy, Gala; Vance, Michael A; Hancock, Bruce

2011-02-10

To implement a Spanish language and culture initiative in a doctor of pharmacy (PharmD) curriculum that would improve students' Spanish language skills and cultural competence so that graduates could provide competent pharmaceutical care to Spanish-speaking patients. Five elective courses were created and introduced to the curriculum including 2 medical Spanish courses; a medical Spanish service-learning course; a 2-week Spanish language and cultural immersion trip to Mexico; and an advanced practice pharmacy experience (APPE) at a medical care clinic serving a high percentage of Spanish-speaking patients. Advisors placed increased emphasis on encouraging pharmacy students to complete a major or minor in Spanish. Enrollment in the Spanish language courses and the cultural immersion trip has been strong. Twenty-three students have completed the APPE at a Spanish-speaking clinic. Eleven percent of 2010 Butler University pharmacy graduates completed a major or minor in Spanish compared to approximately 1% in 2004 when the initiative began. A Spanish language and culture initiative started in 2004 has resulted in increased Spanish language and cultural competence among pharmacy students and recent graduates.

Well, Now, Okey Dokey: English Discourse Markers in Spanish Language Medical Consultations

PubMed Central

Vickers, Caroline H.; Goble, Ryan

2013-01-01

The purpose of this paper is to examine use of English discourse markers in otherwise Spanish language consultations. Data is derived from an audio-recorded corpus of Spanish language consultations that took place in a small community clinic in the United States as well as post-consultation interviews with patients and providers. Through quantification of the use of discourse makers in the corpus and discourse analysis of transcripts, we demonstrate that English-speaking dominant medical providers use English discourse markers more frequently and with a broader range of functions than do Spanish-speaking dominant medical providers and patients. We argue that such use of English discourse markers serves to exacerbate the power relationship between providers and patients even though the use of English discourse markers does not cause overt miscommunication in the ongoing interaction. Implications for providers who use a second language in their medical consultations are discussed. PMID:24347670

Peaches for Lunch: Creating and Using Visual Variables.

PubMed

Cartwright, Elizabeth; Clegg, Adam LaVar

2017-01-01

In this article, I describe the process of systematically including nonverbal data in medical anthropology research. I demonstrate the process of visualizing and coding videotaped moments of life and show how we can analyze what is being done along with what is being said. I ground my discussion in toddler language socialization and then expand my observations to the realm of language pathologies. Aphasia from strokes, speech difficulties in neurologically based illnesses like Lou Gehrig's disease, and the variety of communication challenges that face those on the autism spectrum can all be studied in interesting ways by including precise descriptions of nonverbal actions. I discuss the process of recording and coding the data with the software Observer XT 11.5 by Noldus. This method of collecting and analyzing video data can be used for many anthropological questions, in addition to those concerned with communication.

Applying a Qualitative Modeling Shell to Process Diagnosis: The Caster System. ONR Technical Report #16.

ERIC Educational Resources Information Center

Thompson, Timothy F.; Clancey, William J.

This report describes the application of a shell expert system from the medical diagnostic system, Neomycin, to Caster, a diagnostic system for malfunctions in industrial sandcasting. This system was developed to test the hypothesis that starting with a well-developed classification procedure and a relational language for stating the…

Assessing Health Literacy: A New Domain for Collaboration between Language Testers and Health Professionals

ERIC Educational Resources Information Center

Elder, Catherine; Barber, Melissa; Staples, Margaret; Osborne, Richard H.; Clerehan, Rosemary; Buchbinder, Rachelle

2012-01-01

Health literacy, defined as an individual's capacity to process health information in order to make appropriate health decisions, is the focus of increasing attention in medical fields due to growing awareness that suboptimal health literacy is associated with poorer health outcomes. To explore this issue, a number of instruments, reported to have…

Effect of Attentional State on Frequency Discrimination: A Comparison of Children with ADHD on and off Medication

ERIC Educational Resources Information Center

Sutcliffe, Paul A.; Bishop, Dorothy V. M.; Houghton, Stephen; Taylor, Myra

2006-01-01

Debate continues over the hypothesis that children with language or literacy difficulties have a genuine auditory processing deficit. Several recent studies have reported deficits in frequency discrimination (FD), but it is unclear whether these are genuine perceptual impairments or reflective of the comorbid attentional problems that exist in…

Whose Lingua Franca? The Politics of Language in Transnational Medical Education

ERIC Educational Resources Information Center

Kane, Tanya

2014-01-01

The lingua franca promoted at Weill Cornell Medical College in Qatar belongs to few as a first language. The implementation of an English-medium curriculum at Qatar's only medical school has proved a double-edged sword. Despite English being deployed out of necessity as part of a strategy geared to improve health care provision and medical…

Greek as a Foreign Language for Speakers of Arabic: A Study of Medical Students at the University of Thessaly

ERIC Educational Resources Information Center

Andreou, Georgia; Mitsis, Napoleon

2005-01-01

This paper reports our findings and observations on the difficulties of university students learning Greek as a foreign language at the University of Thessaly. A group of medical students, whose native language was Arabic, answered two questionnaires concerning their use of and competence in Greek. The results showed that first and second year…

Towards iconic language for patient records, drug monographs, guidelines and medical search engines.

PubMed

Lamy, Jean-Baptiste; Duclos, Catherine; Hamek, Saliha; Beuscart-Zéphir, Marie-Catherine; Kerdelhué, Gaetan; Darmoni, Stefan; Favre, Madeleine; Falcoff, Hector; Simon, Christian; Pereira, Suzanne; Serrot, Elisabeth; Mitouard, Thierry; Hardouin, Etienne; Kergosien, Yannick; Venot, Alain

2010-01-01

Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests. In this paper, we describe a new project aimed at extending this iconic language, and exploring the possible applications of these icons in medicine. Based on evaluators' comments, focus groups of physicians and opinions of academic, industrial and associative partners, we propose iconic applications related to patient records, for example summarizing patient conditions, searching for specific clinical documents and helping to code structured data. Other applications involve the presentation of clinical practice guidelines and improving the interface of medical search engines. These new applications could use the same iconic language that was designed for drug knowledge, with a few additional items that respect the logic of the language.

The impact of threshold language assistance programming on the accessibility of mental health services for persons with limited English proficiency in the Medi-Cal setting.

PubMed

McClellan, Sean R; Wu, Frances M; Snowden, Lonnie R

2012-06-01

Title VI of the 1964 Civil Rights Act prohibits federal funds recipients from providing care to limited English proficiency (LEP) persons more limited in scope or lower in quality than care provided to others. In 1999, the California Department of Mental Health implemented a "threshold language access policy" to meet its Title VI obligations. Under this policy, Medi-Cal agencies must provide language assistance programming in a non-English language where a county's Medical population contains either 3000 residents or 5% speakers of that language. We examine the impact of threshold language policy-required language assistance programming on LEP persons' access to mental health services by analyzing the county-level penetration rate of services for Russian, Spanish, and Vietnamese speakers across 34 California counties, over 10 years of quarterly data. Exploiting a time series with nonequivalent control group study design, we studied this phenomena using linear regression with random county effects to account for trends over time. Threshold language policy-required assistance programming led to an immediate and significant increase in the penetration rate of mental health services for Russian (8.2, P < 0.01) and Vietnamese (3.3, P < 0.01) language speaking persons. Threshold language assistance programming was effective in increasing mental health access for Russian and Vietnamese, but not for Spanish-speaking LEP persons.

Responding to the Language Challenge: Kaiser Permanente's Approach

PubMed Central

Meyers, Kate; Tang, Gayle; Fernandez, Alicia

2009-01-01

Objective: To inform current debates on improving health care quality for patients with limited English proficiency by identifying the drivers and processes for one large health care delivery system's implementation of particular models, key success factors, and remaining challenges for the field. Study Design: A qualitative case study of the Kaiser Permanente (KP) San Francisco Medical Center's approach to developing linguistic access services and subsequent organizationwide initiatives. Methods: We conducted semistructured interviews with eight current and former clinical and administrative leaders from the KP San Francisco Medical Center and national headquarters. Interviews were analyzed for key themes. Results: KP San Francisco Medical Center developed linguistic and cultural services in response to a confluence of external and internal factors, including changing demographics, care quality challenges, and patient and clinician satisfaction issues. Early strategies included development of language-specific care modules focused on Chinese- and Spanish-speaking members while meeting broader linguistic access and cultural-competency needs through a centralized Multicultural Services Center. Additional approaches across KP regions have focused on improving interpreter services, optimizing use of bilingual staff, and creating a translation infrastructure to improve quality and reduce redundancy in written translation efforts. Conclusions: KP's experiences developing linguistic and cultural care and services since the 1990s provide lessons about decision-making processes and approaches that may guide other health systems, insurers, and policy makers striving to improve care quality and safety for patients with limited English proficiency. PMID:20740094

A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

PubMed

Greenwald, Jeffrey L; Cronin, Patrick R; Carballo, Victoria; Danaei, Goodarz; Choy, Garry

2017-03-01

With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records and administrative databases. Three areas that may have an impact on readmission but are poorly captured using structured data sources are patients' physical function, cognitive status, and psychosocial environment and support. The objective of the study was to build a discriminative model using information germane to these 3 areas to identify hospitalized patients' risk for 30-day all cause readmissions. We conducted clinician focus groups to identify language used in the clinical record regarding these 3 areas. We then created a dataset including 30,000 inpatients, 10,000 from each of 3 hospitals, and searched those records for the focus group-derived language using natural language processing. A 30-day readmission prediction model was developed on 75% of the dataset and validated on the other 25% and also on hospital specific subsets. Focus group language was aggregated into 35 variables. The final model had 16 variables, a validated C-statistic of 0.74, and was well calibrated. Subset validation of the model by hospital yielded C-statistics of 0.70-0.75. Deriving a 30-day readmission risk prediction model through identification of physical, cognitive, and psychosocial issues using natural language processing yielded a model that performs similarly to the better performing models previously published with the added advantage of being based on clinically relevant factors and also automated and scalable. Because of the clinical relevance of the variables in the model, future research may be able to test if targeting interventions to identified risks results in reductions in readmissions.

A CMMI-based approach for medical software project life cycle study.

PubMed

Chen, Jui-Jen; Su, Wu-Chen; Wang, Pei-Wen; Yen, Hung-Chi

2013-01-01

In terms of medical techniques, Taiwan has gained international recognition in recent years. However, the medical information system industry in Taiwan is still at a developing stage compared with the software industries in other nations. In addition, systematic development processes are indispensable elements of software development. They can help developers increase their productivity and efficiency and also avoid unnecessary risks arising during the development process. Thus, this paper presents an application of Light-Weight Capability Maturity Model Integration (LW-CMMI) to Chang Gung Medical Research Project (CMRP) in the Nuclear medicine field. This application was intended to integrate user requirements, system design and testing of software development processes into three layers (Domain, Concept and Instance) model. Then, expressing in structural System Modeling Language (SysML) diagrams and converts part of the manual effort necessary for project management maintenance into computational effort, for example: (semi-) automatic delivery of traceability management. In this application, it supports establishing artifacts of "requirement specification document", "project execution plan document", "system design document" and "system test document", and can deliver a prototype of lightweight project management tool on the Nuclear Medicine software project. The results of this application can be a reference for other medical institutions in developing medical information systems and support of project management to achieve the aim of patient safety.

Neurolinguistic approach to natural language processing with applications to medical text analysis.

PubMed

Duch, Włodzisław; Matykiewicz, Paweł; Pestian, John

2008-12-01

Understanding written or spoken language presumably involves spreading neural activation in the brain. This process may be approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not found directly in the text. The approximation of this process is of great practical and theoretical interest. Although activations of neural circuits involved in representation of words rapidly change in time snapshots of these activations spreading through associative networks may be captured in a vector model. Concepts of similar type activate larger clusters of neurons, priming areas in the left and right hemisphere. Analysis of recent brain imaging experiments shows the importance of the right hemisphere non-verbal clusterization. Medical ontologies enable development of a large-scale practical algorithm to re-create pathways of spreading neural activations. First concepts of specific semantic type are identified in the text, and then all related concepts of the same type are added to the text, providing expanded representations. To avoid rapid growth of the extended feature space after each step only the most useful features that increase document clusterization are retained. Short hospital discharge summaries are used to illustrate how this process works on a real, very noisy data. Expanded texts show significantly improved clustering and may be classified with much higher accuracy. Although better approximations to the spreading of neural activations may be devised a practical approach presented in this paper helps to discover pathways used by the brain to process specific concepts, and may be used in large-scale applications.

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.

Building Languages

MedlinePlus

... Support Services Technology and Audiology Medical and Surgical Solutions Putting it all Together Building Language American Sign Language (ASL) Conceptually Accurate Signed English (CASE) Cued Speech Finger Spelling Listening/Auditory Training ...

CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

PubMed

Soysal, Ergin; Wang, Jingqi; Jiang, Min; Wu, Yonghui; Pakhomov, Serguei; Liu, Hongfang; Xu, Hua

2017-11-24

Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We also demonstrate the efficiency of the CLAMP graphic user interface in building customized, high-performance NLP pipelines with 2 use cases, extracting smoking status and lab test values. CLAMP is publicly available for research use, and we believe it is a unique asset for the clinical NLP community. © 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.

Impact of Article Language in Multi-Language Medical Journals - a Bibliometric Analysis of Self-Citations and Impact Factor

PubMed Central

Diekhoff, Torsten; Schlattmann, Peter; Dewey, Marc

2013-01-01

Background In times of globalization there is an increasing use of English in the medical literature. The aim of this study was to analyze the influence of English-language articles in multi-language medical journals on their international recognition – as measured by a lower rate of self-citations and higher impact factor (IF). Methods and Findings We analyzed publications in multi-language journals in 2008 and 2009 using the Web of Science (WoS) of Thomson Reuters (former Institute of Scientific Information) and PubMed as sources of information. The proportion of English-language articles during the period was compared with both the share of self-citations in the year 2010 and the IF with and without self-citations. Multivariable linear regression analysis was performed to analyze these factors as well as the influence of the journals‘ countries of origin and of the other language(s) used in publications besides English. We identified 168 multi-language journals that were listed in WoS as well as in PubMed and met our criteria. We found a significant positive correlation of the share of English articles in 2008 and 2009 with the IF calculated without self-citations (Pearson r=0.56, p = <0.0001), a correlation with the overall IF (Pearson r = 0.47, p = <0.0001) and with the cites to years of IF calculation (Pearson r = 0.34, p = <0.0001), and a weak negative correlation with the share of self-citations (Pearson r = -0.2, p = 0.009). The IF without self-citations also correlated with the journal‘s country of origin – North American journals had a higher IF compared to Middle and South American or European journals. Conclusion Our findings suggest that a larger share of English articles in multi-language medical journals is associated with greater international recognition. Fewer self-citations were found in multi-language journals with a greater share of original articles in English. PMID:24146929

Anniversary Paper: Image processing and manipulation through the pages of Medical Physics

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

Armato, Samuel G. III; Ginneken, Bram van; Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, Room Q0S.459, 3584 CX Utrecht

The language of radiology has gradually evolved from ''the film'' (the foundation of radiology since Wilhelm Roentgen's 1895 discovery of x-rays) to ''the image,'' an electronic manifestation of a radiologic examination that exists within the bits and bytes of a computer. Rather than simply storing and displaying radiologic images in a static manner, the computational power of the computer may be used to enhance a radiologist's ability to visually extract information from the image through image processing and image manipulation algorithms. Image processing tools provide a broad spectrum of opportunities for image enhancement. Gray-level manipulations such as histogram equalization, spatialmore » alterations such as geometric distortion correction, preprocessing operations such as edge enhancement, and enhanced radiography techniques such as temporal subtraction provide powerful methods to improve the diagnostic quality of an image or to enhance structures of interest within an image. Furthermore, these image processing algorithms provide the building blocks of more advanced computer vision methods. The prominent role of medical physicists and the AAPM in the advancement of medical image processing methods, and in the establishment of the ''image'' as the fundamental entity in radiology and radiation oncology, has been captured in 35 volumes of Medical Physics.« less

Synonym extraction and abbreviation expansion with ensembles of semantic spaces.

PubMed

Henriksson, Aron; Moen, Hans; Skeppstedt, Maria; Daudaravičius, Vidas; Duneld, Martin

2014-02-05

Terminologies that account for variation in language use by linking synonyms and abbreviations to their corresponding concept are important enablers of high-quality information extraction from medical texts. Due to the use of specialized sub-languages in the medical domain, manual construction of semantic resources that accurately reflect language use is both costly and challenging, often resulting in low coverage. Although models of distributional semantics applied to large corpora provide a potential means of supporting development of such resources, their ability to isolate synonymy from other semantic relations is limited. Their application in the clinical domain has also only recently begun to be explored. Combining distributional models and applying them to different types of corpora may lead to enhanced performance on the tasks of automatically extracting synonyms and abbreviation-expansion pairs. A combination of two distributional models - Random Indexing and Random Permutation - employed in conjunction with a single corpus outperforms using either of the models in isolation. Furthermore, combining semantic spaces induced from different types of corpora - a corpus of clinical text and a corpus of medical journal articles - further improves results, outperforming a combination of semantic spaces induced from a single source, as well as a single semantic space induced from the conjoint corpus. A combination strategy that simply sums the cosine similarity scores of candidate terms is generally the most profitable out of the ones explored. Finally, applying simple post-processing filtering rules yields substantial performance gains on the tasks of extracting abbreviation-expansion pairs, but not synonyms. The best results, measured as recall in a list of ten candidate terms, for the three tasks are: 0.39 for abbreviations to long forms, 0.33 for long forms to abbreviations, and 0.47 for synonyms. This study demonstrates that ensembles of semantic spaces can yield improved performance on the tasks of automatically extracting synonyms and abbreviation-expansion pairs. This notion, which merits further exploration, allows different distributional models - with different model parameters - and different types of corpora to be combined, potentially allowing enhanced performance to be obtained on a wide range of natural language processing tasks.

Synonym extraction and abbreviation expansion with ensembles of semantic spaces

PubMed Central

2014-01-01

Background Terminologies that account for variation in language use by linking synonyms and abbreviations to their corresponding concept are important enablers of high-quality information extraction from medical texts. Due to the use of specialized sub-languages in the medical domain, manual construction of semantic resources that accurately reflect language use is both costly and challenging, often resulting in low coverage. Although models of distributional semantics applied to large corpora provide a potential means of supporting development of such resources, their ability to isolate synonymy from other semantic relations is limited. Their application in the clinical domain has also only recently begun to be explored. Combining distributional models and applying them to different types of corpora may lead to enhanced performance on the tasks of automatically extracting synonyms and abbreviation-expansion pairs. Results A combination of two distributional models – Random Indexing and Random Permutation – employed in conjunction with a single corpus outperforms using either of the models in isolation. Furthermore, combining semantic spaces induced from different types of corpora – a corpus of clinical text and a corpus of medical journal articles – further improves results, outperforming a combination of semantic spaces induced from a single source, as well as a single semantic space induced from the conjoint corpus. A combination strategy that simply sums the cosine similarity scores of candidate terms is generally the most profitable out of the ones explored. Finally, applying simple post-processing filtering rules yields substantial performance gains on the tasks of extracting abbreviation-expansion pairs, but not synonyms. The best results, measured as recall in a list of ten candidate terms, for the three tasks are: 0.39 for abbreviations to long forms, 0.33 for long forms to abbreviations, and 0.47 for synonyms. Conclusions This study demonstrates that ensembles of semantic spaces can yield improved performance on the tasks of automatically extracting synonyms and abbreviation-expansion pairs. This notion, which merits further exploration, allows different distributional models – with different model parameters – and different types of corpora to be combined, potentially allowing enhanced performance to be obtained on a wide range of natural language processing tasks. PMID:24499679

Student-patient communication during physical examination.

PubMed

Cleland, Jennifer; de la Croix, Anne; Cotton, Philip; Coull, Sharon; Skelton, John

2013-04-01

Communication during the physical examination has been understudied. Explicit, evidence-based guidance is not available as to the most effective content or process of communication while performing physical examination, or indeed how to teach this to medical students. The objective of this exploratory study was to explore how medical students communicate with patients when performing a physical examination in the absence of formal teaching on how to communicate in this situation. We recorded 15 senior UK medical students as they performed physical examinations with real patients in general practice situations. The transcriptions were analysed for linguistic functions to identify the use of different categories of utterances. Student utterances fell into four categories: minimising language; using positive evaluative language; repeating the patient; and stating intentions or explanations and requesting consent. Students would often preface an explanation or action by phrases showing 'togetherness', by using 'we' rather than 'you'. They also used linguistic 'hedges' to minimise the impact of an utterance. Senior medical students speak very little during the physical examination. When they do, they use a taxonomy of utterances that reflects those reported in doctor-patient interactions. Identifying how medical students communicate when carrying out the physical examination is the first step in planning how to best teach specific communication skills. Further work is needed to identify how best to explore communication during physical examination, and how this is taught and learned. © Blackwell Publishing Ltd 2013.

Generalizing the Arden Syntax to a Common Clinical Application Language.

PubMed

Kraus, Stefan

2018-01-01

The Arden Syntax for Medical Logic Systems is a standard for encoding and sharing knowledge in the form of Medical Logic Modules (MLMs). Although the Arden Syntax has been designed to meet the requirements of data-driven clinical event monitoring, multiple studies suggest that its language constructs may be suitable for use outside the intended application area and even as a common clinical application language. Such a broader context, however, requires to reconsider some language features. The purpose of this paper is to outline the related modifications on the basis of a generalized Arden Syntax version. The implemented prototype provides multiple adjustments to the standard, such as an option to use programming language constructs without the frame-like MLM structure, a JSON compliant data type system, a means to use MLMs as user-defined functions, and native support of restful web services with integrated data mapping. This study does not aim to promote an actually new language, but a more generic version of the proven Arden Syntax standard. Such an easy-to-understand domain-specific language for common clinical applications might cover multiple additional medical subdomains and serve as a lingua franca for arbitrary clinical algorithms, therefore avoiding a patchwork of multiple all-purpose languages between, and even within, institutions.

Why should the faculty adopt reciprocal teaching as part of the medical curriculum?

PubMed

Khan, Muhammad Jaffar; Fatima, Sadia; Akhtar, Mehnaz; Owais, Muhammad

2016-01-01

Understanding the text is crucial to achieve depth in understanding of complex concepts for students at all levels of education for whom English is not their first language. Reciprocal teaching is an instructional activity that stimulate learning through a dialogue between teachers and students regarding segments of text. The process of summarizing, question-generating, clarifying and predicting allows the gaps to be recognised and filled by the student, who is in control of the learning process and able to analyse and reflect upon the reading material. Whereas reciprocal teaching has been applied at school and college level, little is known about its effectiveness in medical education. Incorporating reciprocal teaching in early years of medical education such as reading the literature and summarizing the flow of information in the study of integrated body systems could be an area to explore. Feasibility exercises and systematic validation studies are required to confirm authors' assertion.

A Cloud-based Approach to Medical NLP

PubMed Central

Chard, Kyle; Russell, Michael; Lussier, Yves A.; Mendonça, Eneida A; Silverstein, Jonathan C.

2011-01-01

Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN. PMID:22195072

A cloud-based approach to medical NLP.

PubMed

Chard, Kyle; Russell, Michael; Lussier, Yves A; Mendonça, Eneida A; Silverstein, Jonathan C

2011-01-01

Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.

[A customized method for information extraction from unstructured text data in the electronic medical records].

PubMed

Bao, X Y; Huang, W J; Zhang, K; Jin, M; Li, Y; Niu, C Z

2018-04-18

There is a huge amount of diagnostic or treatment information in electronic medical record (EMR), which is a concrete manifestation of clinicians actual diagnosis and treatment details. Plenty of episodes in EMRs, such as complaints, present illness, past history, differential diagnosis, diagnostic imaging, surgical records, reflecting details of diagnosis and treatment in clinical process, adopt Chinese description of natural language. How to extract effective information from these Chinese narrative text data, and organize it into a form of tabular for analysis of medical research, for the practical utilization of clinical data in the real world, is a difficult problem in Chinese medical data processing. Based on the EMRs narrative text data in a tertiary hospital in China, a customized information extracting rules learning, and rule based information extraction methods is proposed. The overall method consists of three steps, which includes: (1) Step 1, a random sample of 600 copies (including the history of present illness, past history, personal history, family history, etc.) of the electronic medical record data, was extracted as raw corpora. With our developed Chinese clinical narrative text annotation platform, the trained clinician and nurses marked the tokens and phrases in the corpora which would be extracted (with a history of diabetes as an example). (2) Step 2, based on the annotated corpora clinical text data, some extraction templates were summarized and induced firstly. Then these templates were rewritten using regular expressions of Perl programming language, as extraction rules. Using these extraction rules as basic knowledge base, we developed extraction packages in Perl, for extracting data from the EMRs text data. In the end, the extracted data items were organized in tabular data format, for later usage in clinical research or hospital surveillance purposes. (3) As the final step of the method, the evaluation and validation of the proposed methods were implemented in the National Clinical Service Data Integration Platform, and we checked the extraction results using artificial verification and automated verification combined, proved the effectiveness of the method. For all the patients with diabetes as diagnosed disease in the Department of Endocrine in the hospital, the medical history episode of these patients showed that, altogether 1 436 patients were dismissed in 2015, and a history of diabetes medical records extraction results showed that the recall rate was 87.6%, the accuracy rate was 99.5%, and F-Score was 0.93. For all the 10% patients (totally 1 223 patients) with diabetes by the dismissed dates of August 2017 in the same department, the extracted diabetes history extraction results showed that the recall rate was 89.2%, the accuracy rate was 99.2%, F-Score was 0.94. This study mainly adopts the combination of natural language processing and rule-based information extraction, and designs and implements an algorithm for extracting customized information from unstructured Chinese electronic medical record text data. It has better results than existing work.

Western medical ethics taught to junior medical students can cross cultural and linguistic boundaries.

PubMed

Ypinazar, Valmae A; Margolis, Stephen A

2004-07-30

Little is known about teaching medical ethics across cultural and linguistic boundaries. This study examined two successive cohorts of first year medical students in a six year undergraduate MBBS program. The objective was to investigate whether Arabic speaking students studying medicine in an Arabic country would be able to correctly identify some of the principles of Western medical ethical reasoning. This cohort study was conducted on first year students in a six-year undergraduate program studying medicine in English, their second language at a medical school in the Arabian Gulf. The ethics teaching was based on the four-principle approach (autonomy, beneficence, non-malfeasance and justice) and delivered by a non-Muslim native English speaker with no knowledge of the Arabic language. Although the course was respectful of Arabic culture and tradition, the content excluded an analysis of Islamic medical ethics and focused on Western ethical reasoning. Following two 45-minute interactive seminars, students in groups of 3 or 4 visited a primary health care centre for one morning, sitting in with an attending physician seeing his or her patients in Arabic. Each student submitted a personal report for summative assessment detailing the ethical issues they had observed. All 62 students enrolled in these courses participated. Each student acting independently was able to correctly identify a median number of 4 different medical ethical issues (range 2-9) and correctly identify and label accurately a median of 2 different medical ethical issues (range 2-7) There were no significant correlations between their English language skills or general academic ability and the number or accuracy of ethical issues identified. This study has demonstrated that these students could identify medical ethical issues based on Western constructs, despite learning in English, their second language, being in the third week of their medical school experience and with minimal instruction. This result was independent of their academic and English language skills suggesting that ethical principles as espoused in the four principal approach may be common to the students' Islamic religious beliefs, allowing them to access complex medical ethical reasoning skills at an early stage in the medical curriculum.

Western medical ethics taught to junior medical students can cross cultural and linguistic boundaries

PubMed Central

Ypinazar, Valmae A; Margolis, Stephen A

2004-01-01

Background Little is known about teaching medical ethics across cultural and linguistic boundaries. This study examined two successive cohorts of first year medical students in a six year undergraduate MBBS program. Methods The objective was to investigate whether Arabic speaking students studying medicine in an Arabic country would be able to correctly identify some of the principles of Western medical ethical reasoning. This cohort study was conducted on first year students in a six-year undergraduate program studying medicine in English, their second language at a medical school in the Arabian Gulf. The ethics teaching was based on the four-principle approach (autonomy, beneficence, non-malfeasance and justice) and delivered by a non-Muslim native English speaker with no knowledge of the Arabic language. Although the course was respectful of Arabic culture and tradition, the content excluded an analysis of Islamic medical ethics and focused on Western ethical reasoning. Following two 45-minute interactive seminars, students in groups of 3 or 4 visited a primary health care centre for one morning, sitting in with an attending physician seeing his or her patients in Arabic. Each student submitted a personal report for summative assessment detailing the ethical issues they had observed. Results All 62 students enrolled in these courses participated. Each student acting independently was able to correctly identify a median number of 4 different medical ethical issues (range 2–9) and correctly identify and label accurately a median of 2 different medical ethical issues (range 2–7) There were no significant correlations between their English language skills or general academic ability and the number or accuracy of ethical issues identified. Conclusions This study has demonstrated that these students could identify medical ethical issues based on Western constructs, despite learning in English, their second language, being in the third week of their medical school experience and with minimal instruction. This result was independent of their academic and English language skills suggesting that ethical principles as espoused in the four principal approach may be common to the students' Islamic religious beliefs, allowing them to access complex medical ethical reasoning skills at an early stage in the medical curriculum. PMID:15283868

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.

PubMed

Wong, Adrian; Plasek, Joseph M; Montecalvo, Steven P; Zhou, Li

2018-06-09

The safety of medication use has been a priority in the United States since the late 1930s. Recently, it has gained prominence due to the increasing amount of data suggesting that a large amount of patient harm is preventable and can be mitigated with effective risk strategies that have not been sufficiently adopted. Adverse events from medications are part of clinical practice, but the ability to identify a patient's risk and to minimize that risk must be a priority. The ability to identify adverse events has been a challenge due to limitations of available data sources, which are often free text. The use of natural language processing (NLP) may help to address these limitations. NLP is the artificial intelligence domain of computer science that uses computers to manipulate unstructured data (i.e., narrative text or speech data) in the context of a specific task. In this narrative review, we illustrate the fundamentals of NLP and discuss NLP's application to medication safety in four data sources: electronic health records, Internet-based data, published literature, and reporting systems. Given the magnitude of available data from these sources, a growing area is the use of computer algorithms to help automatically detect associations between medications and adverse effects. The main benefit of NLP is in the time savings associated with automation of various medication safety tasks such as the medication reconciliation process facilitated by computers, as well as the potential for near-real time identification of adverse events for postmarketing surveillance such as those posted on social media that would otherwise go unanalyzed. NLP is limited by a lack of data sharing between health care organizations due to insufficient interoperability capabilities, inhibiting large-scale adverse event monitoring across populations. We anticipate that future work in this area will focus on the integration of data sources from different domains to improve the ability to identify potential adverse events more quickly and to improve clinical decision support with regard to a patient's estimated risk for specific adverse events at the time of medication prescription or review. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

My Tryst of Writing and Publishing a Comprehensive Medical Textbook in Vernacular Hindi and New Hindi Medical Terminology.

PubMed

Goel, Trilok Chandra; Goel, Apul; Kumar, Sandeep

2018-04-01

In India, although the native language is not English but the medical education is imparted in English. The authors have written a textbook of surgery in Hindi with the intention of promoting the understanding of surgery and encouraging reflective and deep learning for students whose native language is Hindi. In this article, the authors share experiences of writing such a book, the reasons for the same and also discuss the creation of new medical nomenclature in Hindi.

Adaptation of Lean Six Sigma Methodologies for the Evaluation of Veterans Choice Program at 3 Urban Veterans Affairs Medical Centers.

PubMed

Ball, Sherry L; Stevenson, Lauren D; Ladebue, Amy C; McCreight, Marina S; Lawrence, Emily C; Oestreich, Taryn; Lambert-Kerzner, Anne C

2017-07-01

The Veterans Health Administration (VHA) is adapting to meet the changing needs of our Veterans. VHA leaders are promoting quality improvement strategies including Lean Six Sigma (LSS). This study used LSS tools to evaluate the Veterans Choice Program (VCP), a program that aims to improve access to health care services for eligible Veterans by expanding health care options to non-VHA providers. LSS was utilized to assess the current process and efficiency patterns of the VCP at 3 VHA Medical Centers. LSS techniques were used to assess data obtained through semistructured interviews with Veterans, staff, and providers to describe and evaluate the VCP process by identifying wastes and defects. The LSS methodology facilitated the process of targeting priorities for improvement and constructing suggestions to close identified gaps and inefficiencies. Identified key process wastes included inefficient exchange of clinical information between stakeholders in and outside of the VHA; poor dissemination of VCP programmatic information; shortages of VCP-participating providers; duplication of appointments; declines in care coordination; and lack of program adaptability to local processes. Recommendations for improvement were formulated using LSS. This evaluation illustrates how LSS can be utilized to assess a nationally mandated health care program. By focusing on stakeholder, staff, and Veteran perspectives, process defects in the VCP were identified and improvement recommendations were made. However, the current LSS language used is not intuitive in health care and similar applications of LSS may consider using new language and goals adapted specifically for health care.

Speech-language pathology findings in Attention Deficit Hyperactivity Disorder: a systematic literature review.

PubMed

Machado-Nascimento, Nárli; Melo E Kümmer, Arthur; Lemos, Stela Maris Aguiar

2016-01-01

To systematically review the scientific production on the relationship between Attention Deficit Hyperactivity Disorder (ADHD) and Speech-language Pathology and to methodologically analyze the observational studies on the theme. Systematic review of the literature conducted at the databases Medical Literature Analysis and Retrieval System online (MEDLINE, USA), Literature of Latin America and the Caribbean Health Sciences (LILACS, Brazil) and Spanish Bibliographic Index of Health Sciences (IBECS, Spain) using the descriptors: "Language", "Language Development", "Attention Deficit Hyperactivity Disorder", "ADHD" and "Auditory Perception". Articles published between 2008 and 2013. Inclusion criteria: full articles published in national and international journals from 2008 to 2013. Exclusion criteria: articles not focused on the speech-language pathology alterations present in the attention deficit hyperactivity disorder. The articles were read in full and the data were extracted for characterization of methodology and content. The 23 articles found were separated according to two themes: Speech-language Pathology and Attention Deficit Hyperactivity Disorder. The study of the scientific production revealed that the alterations most commonly discussed were reading disorders and that there are few reports on the relationship between auditory processing and these disorders, as well as on the role of the speech-language pathologist in the evaluation and treatment of children with Attention Deficit Hyperactivity Disorder.

Your Laptop to the Rescue: Using the Child Language Data Exchange System Archive and CLAN Utilities to Improve Child Language Sample Analysis.

PubMed

Ratner, Nan Bernstein; MacWhinney, Brian

2016-05-01

In this article, we review the advantages of language sample analysis (LSA) and explain how clinicians can make the process of LSA faster, easier, more accurate, and more insightful than LSA done "by hand" by using free, available software programs such as Computerized Language Analysis (CLAN). We demonstrate the utility of CLAN analysis in studying the expressive language of a very large cohort of 24-month-old toddlers tracked in a recent longitudinal study; toddlers in particular are the most likely group to receive LSA by clinicians, but existing reference "norms" for this population are based on fairly small cohorts of children. Finally, we demonstrate how a CLAN utility such as KidEval can now extract potential normative data from the very large number of corpora now available for English and other languages at the Child Language Data Exchange System project site. Most of the LSA measures that we studied appear to show developmental profiles suggesting that they may be of specifically higher value for children at certain ages, because they do not show an even developmental trajectory from 2 to 7 years of age. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

CLAIM (CLinical Accounting InforMation)--an XML-based data exchange standard for connecting electronic medical record systems to patient accounting systems.

PubMed

Guo, Jinqiu; Takada, Akira; Tanaka, Koji; Sato, Junzo; Suzuki, Muneou; Takahashi, Kiwamu; Daimon, Hiroyuki; Suzuki, Toshiaki; Nakashima, Yusei; Araki, Kenji; Yoshihara, Hiroyuki

2005-08-01

With the evolving and diverse electronic medical record (EMR) systems, there appears to be an ever greater need to link EMR systems and patient accounting systems with a standardized data exchange format. To this end, the CLinical Accounting InforMation (CLAIM) data exchange standard was developed. CLAIM is subordinate to the Medical Markup Language (MML) standard, which allows the exchange of medical data among different medical institutions. CLAIM uses eXtensible Markup Language (XML) as a meta-language. The current version, 2.1, inherited the basic structure of MML 2.x and contains two modules including information related to registration, appointment, procedure and charging. CLAIM 2.1 was implemented successfully in Japan in 2001. Consequently, it was confirmed that CLAIM could be used as an effective data exchange format between EMR systems and patient accounting systems.

Access to Biomedical Information: The Unified Medical Language System.

ERIC Educational Resources Information Center

Squires, Steven J.

1993-01-01

Describes the development of a Unified Medical Language System (UMLS) by the National Library of Medicine that will retrieve and integrate information from a variety of information resources. Highlights include the metathesaurus; the UMLS semantic network; semantic locality; information sources map; evaluation of the metathesaurus; future…

Proper use of medical language: Main problems and solutions.

PubMed

Aleixandre-Benavent, R; Valderrama Zurián, J C; Bueno-Cañigral, F J

2015-10-01

Medical language should be characterized by its precision, emotional neutrality and stability. The effective communication of results of scientific studies depends on compliance with current standards of drafting and style; texts with defects can hinder interest in the findings. In this study, we discuss some of the most common problems and errors in medical language, including the abuse of abbreviations and foreign words, the use of improper words, syntax errors and solecisms, the most common errors in titles and the abuse of capital letters and the gerund. Investigators have effective tools for dealing with these problems, such as quality texts, critical dictionaries of questions and difficulties with the Spanish language and various drafting and style manuals. Copyright © 2015 Elsevier España, S.L.U. y Sociedad Española de Medicina Interna (SEMI). All rights reserved.

The influence of English proficiency on access to care.

PubMed

Shi, Leiyu; Lebrun, Lydie A; Tsai, Jenna

2009-12-01

The number of individuals with limited English proficiency in the USA is large and rapidly growing. Consequently, addressing language barriers in access to medical care is becoming increasingly important. Previous studies have reported that individuals with limited English proficiency have more difficulty gaining access to care, compared to English-proficient individuals. We assessed the impact of English language proficiency on access to medical care, accounting for health and socioeconomic status, using nationally representative data. Cross-sectional data from the 2006 National Health Interview Survey (n=29,868). The main outcome measures of interest were self-reported delayed medical care, forgone needed care, and visits to a health care professional. In unadjusted analyses, individuals with limited English proficiency were more likely to forgo needed medical care and less likely to have a health care visit, compared to individuals who were proficient in English. There was no significant association between language proficiency and reports of delayed care. After accounting for individuals' health and socioeconomic status, only the relationship between limited English proficiency and health care visits remained statistically significant. Most associations between language proficiency and access to care did not differ across various racial/ethnic groups. Results indicate that the choice of access measure may influence conclusions about language barriers in health care. Given the growing proportion of US residents with limited English proficiency, health care settings need to better address potential language barriers.

Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy.

PubMed

DeSalvo, Matthew N; Tanaka, Naoaki; Douw, Linda; Leveroni, Catherine L; Buchbinder, Bradley R; Greve, Douglas N; Stufflebeam, Steven M

2016-10-01

Purpose To measure the accuracy of resting-state functional magnetic resonance (MR) imaging in determining hemispheric language dominance in patients with medically intractable focal epilepsies against the results of an intracarotid amobarbital procedure (IAP). Materials and Methods This study was approved by the institutional review board, and all subjects gave signed informed consent. Data in 23 patients with medically intractable focal epilepsy were retrospectively analyzed. All 23 patients were candidates for epilepsy surgery and underwent both IAP and resting-state functional MR imaging as part of presurgical evaluation. Language dominance was determined from functional MR imaging data by calculating a laterality index (LI) after using independent component analysis. The accuracy of this method was assessed against that of IAP by using a variety of thresholds. Sensitivity and specificity were calculated by using leave-one-out cross validation. Spatial maps of language components were qualitatively compared among each hemispheric language dominance group. Results Measurement of hemispheric language dominance with resting-state functional MR imaging was highly concordant with IAP results, with up to 96% (22 of 23) accuracy, 96% (22 of 23) sensitivity, and 96% (22 of 23) specificity. Composite language component maps in patients with typical language laterality consistently included classic language areas such as the inferior frontal gyrus, the posterior superior temporal gyrus, and the inferior parietal lobule, while those of patients with atypical language laterality also included non-classical language areas such as the superior and middle frontal gyri, the insula, and the occipital cortex. Conclusion Resting-state functional MR imaging can be used to measure language laterality in patients with medically intractable focal epilepsy. (©) RSNA, 2016 Online supplemental material is available for this article.

Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy

PubMed Central

Tanaka, Naoaki; Douw, Linda; Leveroni, Catherine L.; Buchbinder, Bradley R.; Greve, Douglas N.; Stufflebeam, Steven M.

2016-01-01

Purpose To measure the accuracy of resting-state functional magnetic resonance (MR) imaging in determining hemispheric language dominance in patients with medically intractable focal epilepsies against the results of an intracarotid amobarbital procedure (IAP). Materials and Methods This study was approved by the institutional review board, and all subjects gave signed informed consent. Data in 23 patients with medically intractable focal epilepsy were retrospectively analyzed. All 23 patients were candidates for epilepsy surgery and underwent both IAP and resting-state functional MR imaging as part of presurgical evaluation. Language dominance was determined from functional MR imaging data by calculating a laterality index (LI) after using independent component analysis. The accuracy of this method was assessed against that of IAP by using a variety of thresholds. Sensitivity and specificity were calculated by using leave-one-out cross validation. Spatial maps of language components were qualitatively compared among each hemispheric language dominance group. Results Measurement of hemispheric language dominance with resting-state functional MR imaging was highly concordant with IAP results, with up to 96% (22 of 23) accuracy, 96% (22 of 23) sensitivity, and 96% (22 of 23) specificity. Composite language component maps in patients with typical language laterality consistently included classic language areas such as the inferior frontal gyrus, the posterior superior temporal gyrus, and the inferior parietal lobule, while those of patients with atypical language laterality also included non-classical language areas such as the superior and middle frontal gyri, the insula, and the occipital cortex. Conclusion Resting-state functional MR imaging can be used to measure language laterality in patients with medically intractable focal epilepsy. © RSNA, 2016 Online supplemental material is available for this article. PMID:27467465

The Effect of English Language on Multiple Choice Question Scores of Thai Medical Students.

PubMed

Phisalprapa, Pochamana; Muangkaew, Wayuda; Assanasen, Jintana; Kunavisarut, Tada; Thongngarm, Torpong; Ruchutrakool, Theera; Kobwanthanakun, Surapon; Dejsomritrutai, Wanchai

2016-04-01

Universities in Thailand are preparing for Thailand's integration into the ASEAN Economic Community (AEC) by increasing the number of tests in English language. English language is not the native language of Thailand Differences in English language proficiency may affect scores among test-takers, even when subject knowledge among test-takers is comparable and may falsely represent the knowledge level of the test-taker. To study the impact of English language multiple choice test questions on test scores of medical students. The final examination of fourth-year medical students completing internal medicine rotation contains 120 multiple choice questions (MCQ). The languages used on the test are Thai and English at a ratio of 3:1. Individual scores of tests taken in both languages were collected and the effect of English language on MCQ was analyzed Individual MCQ scores were then compared with individual student English language proficiency and student grade point average (GPA). Two hundred ninety five fourth-year medical students were enrolled. The mean percentage of MCQ scores in Thai and English were significantly different (65.0 ± 8.4 and 56.5 ± 12.4, respectively, p < 0.001). The correlation between MCQ scores in Thai and English was fair (Spearman's correlation coefficient = 0.41, p < 0.001). Of 295 students, only 73 (24.7%) students scored higher when being tested in English than in Thai language. Students were classified into six grade categories (A, B+, B, C+, C, and D+), which cumulatively measured total internal medicine rotation performance score plus final examination score. MCQ scores from Thai language examination were more closely correlated with total course grades than were the scores from English language examination (Spearman's correlation coefficient = 0.73 (p < 0.001) and 0.53 (p < 0.001), respectively). The gap difference between MCQ scores in both languages was higher in borderline students than in the excellent student group (11.2 ± 11.2 and 7.1 ± 8.2, respectively, p < 0.001). Overall, average student English proficiency score was very high, at 3.71 ± 0.35 from a total of 4.00. Mean student GPA was 3.40 ± 0.33 from a possible 4.00. English language MCQ examination scores were more highly associated with GPA than with English language proficiency. The use of English language multiple choice question test may decrease scores of the fourth-year internal medicine post-rotation final examination, especially those of borderline students.

"Reel" Marketing for Your Movie Collections and Film Resources

ERIC Educational Resources Information Center

Germain, Carol Anne

2012-01-01

Foreign language films generate language acquisition, international cultural films help with global business interactions, medical videos teach students new medical procedures, and movies based on books encourage reading. Films can be instructional as well as FUN! Yet some of these cinematic materials receive little to no attention, not to mention…

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

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.

Medical document anonymization with a semantic lexicon.

PubMed Central

Ruch, P.; Baud, R. H.; Rassinoux, A. M.; Bouillon, P.; Robert, G.

2000-01-01

We present an original system for locating and removing personally-identifying information in patient records. In this experiment, anonymization is seen as a particular case of knowledge extraction. We use natural language processing tools provided by the MEDTAG framework: a semantic lexicon specialized in medicine, and a toolkit for word-sense and morpho-syntactic tagging. The system finds 98-99% of all personally-identifying information. PMID:11079980

Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network.

PubMed

Yang, Zhongliang; Huang, Yongfeng; Jiang, Yiran; Sun, Yuxi; Zhang, Yu-Jin; Luo, Pengcheng

2018-04-20

Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and neural language processing(NLP). Most of the existing systems are based on artificially constructed knowledge bases, and then auxiliary diagnosis is done by rule matching. In this study, we present a clinical intelligent decision approach based on Convolutional Neural Networks(CNN), which can automatically extract high-level semantic information of electronic medical records and then perform automatic diagnosis without artificial construction of rules or knowledge bases. We use collected 18,590 copies of the real-world clinical electronic medical records to train and test the proposed model. Experimental results show that the proposed model can achieve 98.67% accuracy and 96.02% recall, which strongly supports that using convolutional neural network to automatically learn high-level semantic features of electronic medical records and then conduct assist diagnosis is feasible and effective.

Los torturadores medicos: medical collusion with human rights abuses in Argentina, 1976-1983.

PubMed

Perechocky, Andrew

2014-12-01

Medical collaboration with authoritarian regimes historically has served to facilitate the use of torture as a tool of repression and to justify atrocities with the language of public health. Because scholarship on medicalized killing and biomedicalist rhetoric and ideology is heavily focused on Nazi Germany, this article seeks to expand the discourse to include other periods in which medicalized torture occurred, specifically in Argentina from 1976 to 1983, when the country was ruled by the Proceso de Reorganización Nacional military regime. The extent to which medical personnel embedded themselves within the Proceso regime's killing apparatus has escaped full recognition by both scholars and human rights activists. This article reconstructs the narrative of the Proceso's human rights abuses to argue that health professionals knowingly and often enthusiastically facilitated, oversaw, and participated in every phase of the "disappearance," torture, and mass murder process.

The use of Spanish by medical students and residents at one university hospital.

PubMed

Yawman, Daniel; McIntosh, Scott; Fernandez, Diana; Auinger, Peggy; Allan, Marjorie; Weitzman, Michael

2006-05-01

To describe how medical trainees report communication with Spanish-speaking patients, and to assess trainees' desire to improve their language skills and have those skills formally evaluated. A questionnaire was mailed to all fourth-year medical students and non-first-year residents in family practice, pediatrics, medicine, medicine-pediatrics, emergency medicine, and obstetrics-gynecology at the University of Rochester School of Medicine and Dentistry in 2004 (N = 263). The response rate was 92% (241/263). Each respondent had at least one year of clinical experience at the hospital. Of the 83% (199/241) who reported less than conversational Spanish language skills, 53% had taken a history and/or provided medical advice directly to Spanish-speaking patients without any form of interpretation. When an interpreter was used, professional interpretation services were used less frequently than other forms of interpretation (42% versus 58%, p < .05). Analyses were performed on the 68% (164/241) who reported having at least rudimentary Spanish skills: 85% reported that they would probably or definitely participate in further individual language training, 70% expressed at least possible willingness to have their Spanish formally evaluated, and 80% predicted that it is at least possible that they will use their Spanish as attending physicians. At the time of this study, this hospital's medical students and residents from multiple specialties used inadequate Spanish language skills to provide direct medical care despite the availability of professional interpretation services. Most of these trainees were motivated to improve their Spanish and would welcome evaluation of their language skills.

Platform-independent software for medical image processing on the Internet

NASA Astrophysics Data System (ADS)

Mancuso, Michael E.; Pathak, Sayan D.; Kim, Yongmin

1997-05-01

We have developed a software tool for image processing over the Internet. The tool is a general purpose, easy to use, flexible, platform independent image processing software package with functions most commonly used in medical image processing.It provides for processing of medical images located wither remotely on the Internet or locally. The software was written in Java - the new programming language developed by Sun Microsystems. It was compiled and tested using Microsoft's Visual Java 1.0 and Microsoft's Just in Time Compiler 1.00.6211. The software is simple and easy to use. In order to use the tool, the user needs to download the software from our site before he/she runs it using any Java interpreter, such as those supplied by Sun, Symantec, Borland or Microsoft. Future versions of the operating systems supplied by Sun, Microsoft, Apple, IBM, and others will include Java interpreters. The software is then able to access and process any image on the iNternet or on the local computer. Using a 512 X 512 X 8-bit image, a 3 X 3 convolution took 0.88 seconds on an Intel Pentium Pro PC running at 200 MHz with 64 Mbytes of memory. A window/level operation took 0.38 seconds while a 3 X 3 median filter took 0.71 seconds. These performance numbers demonstrate the feasibility of using this software interactively on desktop computes. Our software tool supports various image processing techniques commonly used in medical image processing and can run without the need of any specialized hardware. It can become an easily accessible resource over the Internet to promote the learning and of understanding image processing algorithms. Also, it could facilitate sharing of medical image databases and collaboration amongst researchers and clinicians, regardless of location.

The role of the speech-language pathologist in home care.

PubMed

Giles, Melanie; Barker, Mary; Hayes, Amanda

2014-06-01

Speech language pathologists play an important role in the care of patients with speech, language, or swallowing difficulties that can result from a variety of medical conditions. This article describes how speech language pathologists assess and treat these conditions and the red flags that suggest a referral to a speech language pathologist is indicated.

A Comparison of General Medical and Clinical Ethics Consultations: What Can We Learn From Each Other?

PubMed Central

Geppert, Cynthia M.A.; Shelton, Wayne N.

2012-01-01

Despite the emergence of clinical ethics consultation as a clinical service in recent years, little is known about how clinical ethics consultation differs from, or is the same as, other medical consultations. A critical assessment of the similarities and differences between these 2 types of consultations is important to help the medical community appreciate ethics consultation as a vital service in today's health care setting. Therefore, this Special Article presents a comparison of medical and clinical ethics consultations in terms of fundamental goals of consultation, roles of consultants, and methodologic approaches to consultation, concluding with reflections on important lessons about the physician-patient relationship and medical education that may benefit practicing internists. Our aim is to examine ethics consultation as a clinical service integral to the medical care of patients. Studies for this analysis were obtained through the PubMed database using the keywords ethics consultation, medical consultation, ethics consults, medical consults, ethics consultants, and medical consultants. All English-language articles published from 1970 through August 2011 that pertained to the structure and process of medical and ethics consultation were reviewed. PMID:22469350

Neurolinguistic Approach to Natural Language Processing with Applications to Medical Text Analysis

PubMed Central

Matykiewicz, Paweł; Pestian, John

2008-01-01

Understanding written or spoken language presumably involves spreading neural activation in the brain. This process may be approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts that are not found directly in the text. Approximation of this process is of great practical and theoretical interest. Although activations of neural circuits involved in representation of words rapidly change in time snapshots of these activations spreading through associative networks may be captured in a vector model. Concepts of similar type activate larger clusters of neurons, priming areas in the left and right hemisphere. Analysis of recent brain imaging experiments shows the importance of the right hemisphere non-verbal clusterization. Medical ontologies enable development of a large-scale practical algorithm to re-create pathways of spreading neural activations. First concepts of specific semantic type are identified in the text, and then all related concepts of the same type are added to the text, providing expanded representations. To avoid rapid growth of the extended feature space after each step only the most useful features that increase document clusterization are retained. Short hospital discharge summaries are used to illustrate how this process works on a real, very noisy data. Expanded texts show significantly improved clustering and may be classified with much higher accuracy. Although better approximations to the spreading of neural activations may be devised a practical approach presented in this paper helps to discover pathways used by the brain to process specific concepts, and may be used in large-scale applications. PMID:18614334

Epidemiology of angina pectoris: role of natural language processing of the medical record

PubMed Central

Pakhomov, Serguei; Hemingway, Harry; Weston, Susan A.; Jacobsen, Steven J.; Rodeheffer, Richard; Roger, Véronique L.

2007-01-01

Background The diagnosis of angina is challenging as it relies on symptom descriptions. Natural language processing (NLP) of the electronic medical record (EMR) can provide access to such information contained in free text that may not be fully captured by conventional diagnostic coding. Objective To test the hypothesis that NLP of the EMR improves angina pectoris (AP) ascertainment over diagnostic codes. Methods Billing records of in- and out-patients were searched for ICD-9 codes for AP, chronic ischemic heart disease and chest pain. EMR clinical reports were searched electronically for 50 specific non-negated natural language synonyms to these ICD-9 codes. The two methods were compared to a standardized assessment of angina by Rose questionnaire for three diagnostic levels: unspecified chest pain, exertional chest pain, and Rose angina. Results Compared to the Rose questionnaire, the true positive rate of EMR-NLP for unspecified chest pain was 62% (95%CI:55–67) vs. 51% (95%CI:44–58) for diagnostic codes (p<0.001). For exertional chest pain, the EMR-NLP true positive rate was 71% (95%CI:61–80) vs. 62% (95%CI:52–73) for diagnostic codes (p=0.10). Both approaches had 88% (95%CI:65–100) true positive rate for Rose angina. The EMR-NLP method consistently identified more patients with exertional chest pain over 28-month follow-up. Conclusion EMR-NLP method improves the detection of unspecified and exertional chest pain cases compared to diagnostic codes. These findings have implications for epidemiological and clinical studies of angina pectoris. PMID:17383310

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

PubMed

Ferraro, Jeffrey P; Ye, Ye; Gesteland, Per H; Haug, Peter J; Tsui, Fuchiang Rich; Cooper, Gregory F; Van Bree, Rudy; Ginter, Thomas; Nowalk, Andrew J; Wagner, Michael

2017-05-31

This study evaluates the accuracy and portability of a natural language processing (NLP) tool for extracting clinical findings of influenza from clinical notes across two large healthcare systems. Effectiveness is evaluated on how well NLP supports downstream influenza case-detection for disease surveillance. We independently developed two NLP parsers, one at Intermountain Healthcare (IH) in Utah and the other at University of Pittsburgh Medical Center (UPMC) using local clinical notes from emergency department (ED) encounters of influenza. We measured NLP parser performance for the presence and absence of 70 clinical findings indicative of influenza. We then developed Bayesian network models from NLP processed reports and tested their ability to discriminate among cases of (1) influenza, (2) non-influenza influenza-like illness (NI-ILI), and (3) 'other' diagnosis. On Intermountain Healthcare reports, recall and precision of the IH NLP parser were 0.71 and 0.75, respectively, and UPMC NLP parser, 0.67 and 0.79. On University of Pittsburgh Medical Center reports, recall and precision of the UPMC NLP parser were 0.73 and 0.80, respectively, and IH NLP parser, 0.53 and 0.80. Bayesian case-detection performance measured by AUROC for influenza versus non-influenza on Intermountain Healthcare cases was 0.93 (using IH NLP parser) and 0.93 (using UPMC NLP parser). Case-detection on University of Pittsburgh Medical Center cases was 0.95 (using UPMC NLP parser) and 0.83 (using IH NLP parser). For influenza versus NI-ILI on Intermountain Healthcare cases performance was 0.70 (using IH NLP parser) and 0.76 (using UPMC NLP parser). On University of Pisstburgh Medical Center cases, 0.76 (using UPMC NLP parser) and 0.65 (using IH NLP parser). In all but one instance (influenza versus NI-ILI using IH cases), local parsers were more effective at supporting case-detection although performances of non-local parsers were reasonable.

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

PubMed

Emadzadeh, Ehsan; Sarker, Abeed; Nikfarjam, Azadeh; Gonzalez, Graciela

2017-01-01

Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. However, because of the non-standard nature of social media language, automatically extracted ADR mentions need to be mapped to standard forms before they can be used by operational pharmacovigilance systems. We propose a modular natural language processing pipeline for mapping (normalizing) colloquial mentions of ADRs to their corresponding standardized identifiers. We seek to accomplish this task and enable customization of the pipeline so that distinct unlabeled free text resources can be incorporated to use the system for other normalization tasks. Our approach, which we call Hybrid Semantic Analysis (HSA), sequentially employs rule-based and semantic matching algorithms for mapping user-generated mentions to concept IDs in the Unified Medical Language System vocabulary. The semantic matching component of HSA is adaptive in nature and uses a regression model to combine various measures of semantic relatedness and resources to optimize normalization performance on the selected data source. On a publicly available corpus, our normalization method achieves 0.502 recall and 0.823 precision (F-measure: 0.624). Our proposed method outperforms a baseline based on latent semantic analysis and another that uses MetaMap.

American Sign Language and Deaf Culture Competency of Osteopathic Medical Students

ERIC Educational Resources Information Center

Lapinsky, Jessica; Colonna, Caitlin; Sexton, Patricia; Richard, Mariah

2015-01-01

The study examined the effectiveness of a workshop on Deaf culture and basic medical American Sign Language for increasing osteopathic student physicians' confidence and knowledge when interacting with ASL-using patients. Students completed a pretest in which they provided basic demographic information, rated their confidence levels, took a video…

The Readiness Nursery in a Medical School.

ERIC Educational Resources Information Center

Silver, Archie A.

Differential diagnosis of delayed language development in the preschool child at the Readiness Nursery of the New York University Medical School can be shown by three case histories. Diagnosis requires identification of factors involved in the origin and development of the child's language deficit both at the time of diagnosis and at the critical…

Implementation of multiple intelligences theory in the English language course syllabus at the University of Nis Medical School.

PubMed

Bakić-Mirić, Natasa

2010-01-01

Theory of multiple intelligences (MI) is considered an innovation in learning the English language because it helps students develop all eight intelligences that, on the other hand, represent ways people understand the world around them, solve problems and learn. They are: verbal/linguistic, logical/mathematical, visual/spatial, bodily/kinaesthetic, musical/rhythmic, interpersonal, intrapersonal and naturalist. Also, by focusing on the problem-solving activities, teachers, by implementing theory of multiple intelligences, encourage students not only to build their existing language knowledge but also learn new content and skills. The objective of this study has been to determine the importance of implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School. Ways in which the theory of multiple intelligences has been implemented in the English language course syllabus particularly in one lecture for junior year students of pharmacy in the University of Nis Medical School. The English language final exam results from February 2009 when compared with the final exam results from June 2007 prior to the implementation of MI theory showed the following: out of 80 junior year students of pharmacy, 40 obtained grade 10 (outstanding), 16 obtained grade 9 (excellent), 11 obtained grade 8 (very good), 4 obtained grade 7 (good) and 9 obtained grade 6 (pass). No student failed. The implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School has had a positive impact on learning the English language and has increased students' interest in language learning. Genarally speaking, this theory offers better understanding of students' intelligence and greater appreciation of their strengths. It provides numerous opportunities for students to use and develop all eight intelligences not just the few they excel in prior to enrolling in a university or college.

Language matters: towards an understanding of silence and humour in medical education.

PubMed

Lingard, Lorelei

2013-01-01

This paper considers the state of the science regarding language matters in medical education, with particular attention to two informal language practices: silence and humour. Silence and humour pervade clinical training settings, although we rarely attend explicitly to them. This paper considers the treatment of these topics in our field to date and introduces a selection of the scholarship on silence and humour from other fields, including philosophy, sociology, anthropology, linguistics and rhetoric. Particular attention is paid to distilling the theoretical and methodological possibilities for an elaborated research agenda around silence and humour in medical education. These two language practices assume a variety of forms and serve a range of social functions. Episodes of silence and humour are intimately tied to their relational and institutional contexts. Power often figures centrally, although not predictably. A rich theoretical and methodological basis exists on which to elaborate a research agenda around silence and humour in medical education. Such research promises to reveal more fully the contributions of silence and humour to socialisation in clinical training settings. © Blackwell Publishing Ltd 2013.

[The new preschool examination in Baden-Wuerttemberg: what determinants influence the school medical evaluation special need for language promotion in childhood development?].

PubMed

Spannenkrebs, M; Crispin, A; Krämer, D

2013-12-01

The new examination before primary school enrollment in Baden-Wuerttemberg aims at detecting problems in infant development with regard to later school success in time to initiate supporting measures, especially to improve the language skills of children with other native languages. By a 2-level process composed of a screening of language skills (HASE and KVS) and an additional test (SETK 3-5) of children who did not pass the screening, the school physicians attested special needs for language promotion in the kindergarten. This study looked for associated risks of children with special needs for language promotion. The degree of test quality of the 2-level process for identifying special needs for language promotion was determined. This cross-sectional analysis explored findings of n=80,781 children in the new examination before primary school enrollment of the data-set of Baden-Wuerttemberg (children with school enrollment 2011). 56,352 children (69.8%) were speaking German, 24,429 children (30.2%) had other family languages. 20,461 children (25.3%) had special needs for language promotion in the kindergarten. A logistic regression model to determine main risks of special needs for language promotion was developed. Main effects were other native languages (OR 5.1 [4.8; 5.2]), problems in subitising (OR 2.8 [2.7; 3.0]) and language development lags in the questionnaire of the nursery school teachers (OR 3.5 [3.3; 3.7]). Protective effects were an elevated graduation of the mother (OR 0.7 [0.7; 0.7]) or the father (OR 0.8 [0.7; 0.8]). Risk scores of the effects were defined. The corresponding predictive probability to different levels of risk scores was calculated. The true positive rate of the screening of language skills (HASE/KVS) in regard to special needs for language promotion was 0.95, the true negative rate was 0.72 and the -positive predictive value was 0.53. The school physician's findings of special needs for language promotion acted as gold standard. With the additional test (SETK 3-5) the positive predictive value improved to 0.9, if at least one of the subtests of the SETK 3-5 was not passed. The risk score-level corresponded with the pretest-probability and the consecutive positive predictive value of the screening of language skills. This study showed an adequate degree of test quality of the 2-level process in the new examination before primary school enrollment in Baden-Wuerttemberg (screening of language skills and additional test, if the screening is not passed). In addition children with special needs for language promotion had associated risks. Risk scores, that have been defined, offer an information tool to the school physicians concerning the positive predictive value of the screening of language skills without additional testing. © Georg Thieme Verlag KG Stuttgart · New York.

Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.

PubMed

Redman, Joseph S; Natarajan, Yamini; Hou, Jason K; Wang, Jingqi; Hanif, Muzammil; Feng, Hua; Kramer, Jennifer R; Desiderio, Roxanne; Xu, Hua; El-Serag, Hashem B; Kanwal, Fasiha

2017-10-01

Natural language processing is a powerful technique of machine learning capable of maximizing data extraction from complex electronic medical records. We utilized this technique to develop algorithms capable of "reading" full-text radiology reports to accurately identify the presence of fatty liver disease. Abdominal ultrasound, computerized tomography, and magnetic resonance imaging reports were retrieved from the Veterans Affairs Corporate Data Warehouse from a random national sample of 652 patients. Radiographic fatty liver disease was determined by manual review by two physicians and verified with an expert radiologist. A split validation method was utilized for algorithm development. For all three imaging modalities, the algorithms could identify fatty liver disease with >90% recall and precision, with F-measures >90%. These algorithms could be used to rapidly screen patient records to establish a large cohort to facilitate epidemiological and clinical studies and examine the clinic course and outcomes of patients with radiographic hepatic steatosis.

Cross-Language Information Retrieval: An Analysis of Errors.

ERIC Educational Resources Information Center

Ruiz, Miguel E.; Srinivasan, Padmini

1998-01-01

Investigates an automatic method for Cross Language Information Retrieval (CLIR) that utilizes the multilingual Unified Medical Language System (UMLS) Metathesaurus to translate Spanish natural-language queries into English. Results indicate that for Spanish, the UMLS Metathesaurus-based CLIR method is at least equivalent to if not better than…

Knowledge acquisition to qualify Unified Medical Language System interconceptual relationships.

PubMed Central

Le Duff, F.; Burgun, A.; Cleret, M.; Pouliquen, B.; Barac'h, V.; Le Beux, P.

2000-01-01

Adding automatically relations between concepts from a database to a knowledge base such as the Unified Medical Language System can be very useful to increase the consistency of the latter one. But the transfer of qualified relationships is more interesting. The most important interest of these new acquisitions is that the UMLS became more compliant and medically pertinent to be used in different medical applications. This paper describes the possibility to inherit automatically medical inter-conceptual relationships qualifiers from a disease description included into a database and to integrate them into the UMLS knowledge base. The paper focuses on the transmission of knowledge from a French medical database to an English one. PMID:11079930

Extracting risk modeling information from medical articles.

PubMed

Deleris, Léa A; Sacaleanu, Bogdan; Tounsi, Lamia

2013-01-01

Risk modeling in healthcare is both ubiquitous and in its infancy. On the one hand, a significant proportion of medical research focuses on determining the factors that influence the incidence, severity and treatment of diseases, which is a form of risk identification. Those studies typically investigate the micro-level of risk modeling, i.e., the existence of dependences between a reduced set of hypothesized (or demonstrated) risk factors and a focus disease or treatment. On the other hand, the macro-level of risk modeling, i.e., articulating how a large number of such risk factors interact to affect diseases and treatments is not widespread, though essential for medical decision support modeling. By exploiting advances in natural language processing, we believe that information contained in unstructured texts such as medical articles could be extracted to facilitate aggregation into macro-level risk models.

Impact of student ethnicity and primary childhood language on communication skill assessment in a clinical performance examination.

PubMed

Fernandez, Alicia; Wang, Frances; Braveman, Melissa; Finkas, Lindsay K; Hauer, Karen E

2007-08-01

Clinical performance examinations (CPX) with standardized patients (SPs) have become a preferred method to assess communication skills in US medical schools. Little is known about how trainees' backgrounds impact CPX performance. The objective of this paper is to examine the impact of student ethnicity, primary childhood language, and experience of diversity on the communication scores of a high-stakes CPX using SPs. This research was designed as an observational study. The participants of this study were third-year medical students at one US medical school. The measurements used in this study were CPX scores from mandatory exam, student demographics and experience with diversity measured by self-report on a survey, and Medical College Admission Test (MCAT) and United States Medical Licensing Examination (USMLE) scores. A total of 135 students participated. Asian and black students scored lower than white students on the communication portion of the CPX by approximately half a standard deviation (Asian, 67.4%; black, 64.4%; white, 69.4%, p < .05). There were no differences by ethnicity on history/physical exam scores. Multivariate analysis controlling for MCAT verbal scores reduced ethnic differences in communication scores (Asian-white mean differences = 1.95, p = 0.02), but Asian-white differences were eliminated only after sequential models included primary childhood language (difference = 0.57, p = 0.6). Even after controlling for English language knowledge as measured in MCAT verbal scores, speaking a primary childhood language other than English is associated with lower CPX communication scores for Asian students. While poorer communication skills cannot be ruled out, SP exams may contain measurement bias associated with differences in childhood language or culture. Caution is indicated when interpreting CPX communication scores among diverse examinees.

Ranking Practice Variability in the Medical Student Performance Evaluation: So Bad, It's "Good".

PubMed

Boysen Osborn, Megan; Mattson, James; Yanuck, Justin; Anderson, Craig; Tekian, Ara; Fox, John Christian; Harris, Ilene B

2016-11-01

To examine the variability among medical schools in ranking systems used in medical student performance evaluations (MSPEs). The authors reviewed MSPEs from U.S. MD-granting medical schools received by the University of California, Irvine emergency medicine and internal medicine residency programs during 2012-2013 and 2014-2015. They recorded whether the school used a ranking system, the type of ranking system used, the size and description of student categories, the location of the ranking statement and category legend, and whether nonranking schools used language suggestive of rank. Of the 134 medical schools in the study sample, the majority (n = 101; 75%) provided ranks for students in the MSPE. Most of the ranking schools (n = 63; 62%) placed students into named category groups, but the number and size of groups varied. The most common descriptors used for these 63 schools' top, second, third, and lowest groups were "outstanding," "excellent," "very good," and "good," respectively, but each of these terms was used across a broad range of percentile ranks. Student ranks and school category legends were found in various locations. Many of the 33 schools that did not rank students included language suggestive of rank. There is extensive variation in ranking systems used in MSPEs. Program directors may find it difficult to use MSPEs to compare applicants, which may diminish the MSPE's value in the residency application process and negatively affect high-achieving students. A consistent approach to ranking students would benefit program directors, students, and student affairs officers.

Evaluation of PROforma as a language for implementing medical guidelines in a practical context

PubMed Central

Sutton, David R; Taylor, Paul; Earle, Kenneth

2006-01-01

Background PROforma is one of several languages that allow clinical guidelines to be expressed in a computer-interpretable manner. How these languages should be compared, and what requirements they should meet, are questions that are being actively addressed by a community of interested researchers. Methods We have developed a system to allow hypertensive patients to be monitored and assessed without visiting their GPs (except in the most urgent cases). Blood pressure measurements are performed at the patients' pharmacies and a web-based system, created using PROforma, makes recommendations for continued monitoring, and/or changes in medication. The recommendations and measurements are transmitted electronically to a practitioner with authority to issue and change prescriptions. We evaluated the use of PROforma during the knowledge acquisition, analysis, design and implementation of this system. The analysis focuses on the logical adequacy, heuristic power, notational convenience, and explanation support provided by the PROforma language. Results PROforma proved adequate as a language for the implementation of the clinical reasoning required by this project. However a lack of notational convenience led us to use UML activity diagrams, rather than PROforma process descriptions, to create the models that were used during the knowledge acquisition and analysis phases of the project. These UML diagrams were translated into PROforma during the implementation of the project. Conclusion The experience accumulated during this study highlighted the importance of structure preserving design, that is to say that the models used in the design and implementation of a knowledge-based system should be structurally similar to those created during knowledge acquisition and analysis. Ideally the same language should be used for all of these models. This means that great importance has to be attached to the notational convenience of these languages, by which we mean the ease with which they can be read, written, and understood by human beings. The importance of notational convenience arises from the fact that a language used during knowledge acquisition and analysis must be intelligible to the potential users of a system, and to the domain experts who provide the knowledge that will be used in its construction. PMID:16597341

Evaluation of PROforma as a language for implementing medical guidelines in a practical context.

PubMed

Sutton, David R; Taylor, Paul; Earle, Kenneth

2006-04-05

PROforma is one of several languages that allow clinical guidelines to be expressed in a computer-interpretable manner. How these languages should be compared, and what requirements they should meet, are questions that are being actively addressed by a community of interested researchers. We have developed a system to allow hypertensive patients to be monitored and assessed without visiting their GPs (except in the most urgent cases). Blood pressure measurements are performed at the patients' pharmacies and a web-based system, created using PROforma, makes recommendations for continued monitoring, and/or changes in medication. The recommendations and measurements are transmitted electronically to a practitioner with authority to issue and change prescriptions. We evaluated the use of PROforma during the knowledge acquisition, analysis, design and implementation of this system. The analysis focuses on the logical adequacy, heuristic power, notational convenience, and explanation support provided by the PROforma language. PROforma proved adequate as a language for the implementation of the clinical reasoning required by this project. However a lack of notational convenience led us to use UML activity diagrams, rather than PROforma process descriptions, to create the models that were used during the knowledge acquisition and analysis phases of the project. These UML diagrams were translated into PROforma during the implementation of the project. The experience accumulated during this study highlighted the importance of structure preserving design, that is to say that the models used in the design and implementation of a knowledge-based system should be structurally similar to those created during knowledge acquisition and analysis. Ideally the same language should be used for all of these models. This means that great importance has to be attached to the notational convenience of these languages, by which we mean the ease with which they can be read, written, and understood by human beings. The importance of notational convenience arises from the fact that a language used during knowledge acquisition and analysis must be intelligible to the potential users of a system, and to the domain experts who provide the knowledge that will be used in its construction.

Generation of development environments for the Arden Syntax.

PubMed Central

Bång, M.; Eriksson, H.

1997-01-01

Providing appropriate development environments for specialized languages requires a significant development and maintenance effort. Specialized environments are therefore expensive when compared to their general-language counterparts. The Arden Syntax for Medical Logic Modules (MLM) is a standardized language for representing medical knowledge. We have used PROTEGE-II, a knowledge-engineering environment, to generate a number of experimental development environments for the Arden Syntax. MEDAILLE is the resulting MLM editor, which provides a user-friendly environment that allows users to create and modify MLM definitions. Although MEDAILLE is a generated editor, it has similar functionality, while reducing the programming effort, as compared to other MLM editors developed using traditional programming techniques. We discuss how developers can use PROTEGE-II to generate development environments for other standardized languages and for general programming languages. PMID:9357639

Ethics in the practice of speech-language pathology in health care settings.

PubMed

Kummer, Ann W; Turner, Jan

2011-11-01

ETHICS refers to a moral philosophy or a set of moral principles that determine appropriate behavior in a society. Medical ethics includes a set of specific values that are considered in determining appropriate conduct in the practice of medicine or health care. Because the practice of medicine and medical speech-language pathology affects the health, well-being, and quality of life of individuals served, adherence to a code of ethical conduct is critically important in the health care environment. When ethical dilemmas arise, consultation with a bioethics committee can be helpful in determining the best course of action. This article will help to define medical ethics and to discuss the six basic values that are commonly considered in discussions of medical ethics. Common ethical mistakes in the practice of speech-language pathology will be described. Finally, the value of a bioethics consultation for help in resolving complex ethical issues will be discussed. © Thieme Medical Publishers.

Information extraction from Italian medical reports: An ontology-driven approach.

PubMed

Viani, Natalia; Larizza, Cristiana; Tibollo, Valentina; Napolitano, Carlo; Priori, Silvia G; Bellazzi, Riccardo; Sacchi, Lucia

2018-03-01

In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are not easily accessible. The corpus considered in this work includes 5432 non-annotated medical reports belonging to patients with rare arrhythmias. To guide the information extraction process, we built a domain-specific ontology that includes the events and the attributes to be extracted, with related regular expressions. The ontology and the annotation system were constructed on a development set, while the performance was evaluated on an independent test set. As a gold standard, we considered a manually curated hospital database named TRIAD, which stores most of the information written in reports. The proposed approach performs well on the considered Italian medical corpus, with a percentage of correct annotations above 90% for most considered clinical events. We also assessed the possibility to adapt the system to the analysis of another language (i.e., English), with promising results. Our annotation system relies on a domain ontology to extract and link information in clinical text. We developed an ontology that can be easily enriched and translated, and the system performs well on the considered task. In the future, it could be successfully used to automatically populate the TRIAD database. Copyright © 2017 Elsevier B.V. All rights reserved.

Development of a medical module for disaster information systems.

PubMed

Calik, Elif; Atilla, Rıdvan; Kaya, Hilal; Aribaş, Alirıza; Cengiz, Hakan; Dicle, Oğuz

2014-01-01

This study aims to improve a medical module which provides a real-time medical information flow about pre-hospital processes that gives health care in disasters; transferring, storing and processing the records that are in electronic media and over internet as a part of disaster information systems. In this study which is handled within the frame of providing information flow among professionals in a disaster case, to supply the coordination of healthcare team and transferring complete information to specified people at real time, Microsoft Access database and SQL query language were used to inform database applications. System was prepared on Microsoft .Net platform using C# language. Disaster information system-medical module was designed to be used in disaster area, field hospital, nearby hospitals, temporary inhabiting areas like tent city, vehicles that are used for dispatch, and providing information flow between medical officials and data centres. For fast recording of the disaster victim data, accessing to database which was used by health care professionals was provided (or granted) among analysing process steps and creating minimal datasets. Database fields were created in the manner of giving opportunity to enter new data and search old data which is recorded before disaster. Web application which provides access such as data entry to the database and searching towards the designed interfaces according to the login credentials access level. In this study, homepage and users' interfaces which were built on database in consequence of system analyses were provided with www.afmedinfo.com web site to the user access. With this study, a recommendation was made about how to use disaster-based information systems in the field of health. Awareness has been developed about the fact that disaster information system should not be perceived only as an early warning system. Contents and the differences of the health care practices of disaster information systems were revealed. A web application was developed supplying a link between the user and the database to make date entry and data query practices by the help of the developed interfaces.

"Understanding" medical school curriculum content using KnowledgeMap.

PubMed

Denny, Joshua C; Smithers, Jeffrey D; Miller, Randolph A; Spickard, Anderson

2003-01-01

To describe the development and evaluation of computational tools to identify concepts within medical curricular documents, using information derived from the National Library of Medicine's Unified Medical Language System (UMLS). The long-term goal of the KnowledgeMap (KM) project is to provide faculty and students with an improved ability to develop, review, and integrate components of the medical school curriculum. The KM concept identifier uses lexical resources partially derived from the UMLS (SPECIALIST lexicon and Metathesaurus), heuristic language processing techniques, and an empirical scoring algorithm. KM differentiates among potentially matching Metathesaurus concepts within a source document. The authors manually identified important "gold standard" biomedical concepts within selected medical school full-content lecture documents and used these documents to compare KM concept recognition with that of a known state-of-the-art "standard"-the National Library of Medicine's MetaMap program. The number of "gold standard" concepts in each lecture document identified by either KM or MetaMap, and the cause of each failure or relative success in a random subset of documents. For 4,281 "gold standard" concepts, MetaMap matched 78% and KM 82%. Precision for "gold standard" concepts was 85% for MetaMap and 89% for KM. The heuristics of KM accurately matched acronyms, concepts underspecified in the document, and ambiguous matches. The most frequent cause of matching failures was absence of target concepts from the UMLS Metathesaurus. The prototypic KM system provided an encouraging rate of concept extraction for representative medical curricular texts. Future versions of KM should be evaluated for their ability to allow administrators, lecturers, and students to navigate through the medical curriculum to locate redundancies, find interrelated information, and identify omissions. In addition, the ability of KM to meet specific, personal information needs should be assessed.

Serial auditory-evoked potentials in the diagnosis and monitoring of a child with Landau-Kleffner syndrome.

PubMed

Plyler, Erin; Harkrider, Ashley W

2013-01-01

A boy, aged 2 1/2 yr, experienced sudden deterioration of speech and language abilities. He saw multiple medical professionals across 2 yr. By almost 5 yr, his vocabulary diminished from 50 words to 4, and he was referred to our speech and hearing center. The purpose of this study was to heighten awareness of Landau-Kleffner syndrome (LKS) and emphasize the importance of an objective test battery that includes serial auditory-evoked potentials (AEPs) to audiologists who often are on the front lines of diagnosis and treatment delivery when faced with a child experiencing unexplained loss of the use of speech and language. Clinical report. Interview revealed a family history of seizure disorder. Normal social behaviors were observed. Acoustic reflexes and otoacoustic emissions were consistent with normal peripheral auditory function. The child could not complete behavioral audiometric testing or auditory processing tests, so serial AEPs were used to examine central nervous system function. Normal auditory brainstem responses, a replicable Na and absent Pa of the middle latency responses, and abnormal slow cortical potentials suggested dysfunction of auditory processing at the cortical level. The child was referred to a neurologist, who confirmed LKS. At age 7 1/2 yr, after 2 1/2 yr of antiepileptic medications, electroencephalographic (EEG) and audiometric measures normalized. Presently, the child communicates manually with limited use of oral information. Audiologists often are one of the first professionals to assess children with loss of speech and language of unknown origin. Objective, noninvasive, serial AEPs are a simple and valuable addition to the central audiometric test battery when evaluating a child with speech and language regression. The inclusion of these tests will markedly increase the chance for early and accurate referral, diagnosis, and monitoring of a child with LKS which is imperative for a positive prognosis. American Academy of Audiology.

Web science in medicine and healthcare.

PubMed

Denecke, K; Brooks, E

2013-01-01

Medical social-media provide a new source of information within information gaining contexts. Facts, experiences, opinions or information on behaviour can be found in the medical web and could support a broad range of applications. The intention of this Focus Theme is to bring the existing research together and to show the possibilities, challenges and technologies for Web Science in medicine and healthcare. This editorial provides an overview on the landscape of medical social-media and their possibilities in supporting healthcare. Further, it summarizes the three papers included in this Focus Theme. The three papers of this Focus Theme consider different aspects of Web Science in medicine which are 1) detection of drug interactions from social media, 2) inferring community structures from online forums and 3) improving access to online videos through assignment of SNOMED CT terms. All three papers show the potential of medical social-media in supporting health information gathering processes from the web. However, several issues still need to be addressed in future: Methods are necessary for identifying high quality information from the medical web as well as for processing the language that is used by social media users to report about their symptoms, diseases and other health issues.

Shared decision making in the recovery of people with schizophrenia: the role of metacognitive capacities in insight and pragmatic language use.

PubMed

Chan, Kevin K S; Mak, Winnie W S

2012-08-01

In the development of consumer-centered care for mental health consumers with schizophrenia, one key ingredient is consumer participation in health care decisions together with their healthcare providers, termed "shared decision making" (SDM). SDM requires consumers to form a number of complex ideas about themselves and their providers then use that knowledge to make sense of the illness and reach medical and psychosocial decisions. However, metacognitive deficits widely observed in schizophrenia might lead to poor insight and pragmatic language deficits in some consumers, disrupting the whole process by which a personal and consensually valid narrative account of psychiatric challenges is synthesized and flexibly evolved. Given the current understanding that it is possible to improve metacognition, in this article we summarize how Metacognitive Training (MCT) and individual psychotherapy could potentially be tailored, or modified, to help consumers to develop metacognitive capacities with an end goal of facilitating the SDM process. Consistent with the principles of consumer-defined recovery, we also suggest a strategy for engaging consumers in SDM dialogue based on "where the consumers are at". Providers are advised to be cognizant of their medically driven perspective and attempt to work with the consumers in the perspective of the consumers' own recovery goals. Copyright © 2012 Elsevier Ltd. All rights reserved.

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer

PubMed Central

Roch, Alexandra M; Mehrabi, Saeed; Krishnan, Anand; Schmidt, Heidi E; Kesterson, Joseph; Beesley, Chris; Dexter, Paul R; Palakal, Mathew; Schmidt, C Max

2015-01-01

Introduction As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancreatic cysts are incidental, ubiquitous and poorly understood, follow-up is often not performed. Pancreatic cysts may have a significant malignant potential and their identification represents a ‘window of opportunity’ for the early detection of pancreatic cancer. The purpose of this study was to implement an automated Natural Language Processing (NLP)-based pancreatic cyst identification system. Method A multidisciplinary team was assembled. NLP-based identification algorithms were developed based on key words commonly used by physicians to describe pancreatic cysts and programmed for automated search of electronic medical records. A pilot study was conducted prospectively in a single institution. Results From March to September 2013, 566 233 reports belonging to 50 669 patients were analysed. The mean number of patients reported with a pancreatic cyst was 88/month (range 78–98). The mean sensitivity and specificity were 99.9% and 98.8%, respectively. Conclusion NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR). This highly accurate system can help capture patients ‘at-risk’ of pancreatic cancer in a registry. PMID:25537257

[German influences on Romanian medical terminology].

PubMed

Răcilă, R G; Răileanu, Irena; Rusu, V

2008-01-01

The medical terminology plays a key part both in the study of medicine as well as in its practice. Moreover, understanding the medical terms is important not only for the doctor but also for the patients who want to learn more about their condition. For these reasons we believe that the study of medical terminology is one of great interest. The aim of our paper was to evaluate the German linguistic and medical influences on the evolution of the Romanian medical terminology. Since the Romanian-German cultural contacts date back to the 12th century we had reasons to believe that the number of German medical words in Romanian would be significant. To our surprise, the Romanian language has very few German words and even less medical terms of German origin. However, when we searched the list of diseases coined after famous medical personalities, we found out that 26 % of them bore the names of German doctors and scientists. Taken together this proves that the German medical school played an important role on the evolution of Romanian medicine despite the fact that the Romanian vocabulary was slightly influenced by the German language. We explain this fact on the structural differences between the Romanian and German languages, which make it hard for German loans to be integrated in the Romanian lexis. In conclusion we state that the German influence on the Romanian medical terminology is weak despite the important contribution of the German medical school to the development of medical education and healthcare in Romania. Key

Lost in translation. Homer in English; the patient's story in medicine.

PubMed

Marshall, Robert J; Bleakley, Alan

2013-06-01

In a series of previous articles, we have considered how we might reconceptualise central themes in medicine and medical education through 'thinking with Homer'. This has involved using textual approaches, scenes and characters from the Iliad and Odyssey for rethinking what is a 'communication skill', and what do we mean by 'empathy' in medical practice; in what sense is medical practice formulaic, like a Homeric 'song'; and what is lyrical about medical practice. Our approach is not to historicise medicine and medical education, but to use thinking with Homer as a medium and metaphor for questioning the habitual and the taken-for-granted in contemporary practice. In this article, we tackle the complex theme of 'translation'. We use the lens of translation studies to examine the process of turning the patient's story into medical language. We address the questions: what makes a 'good' translation? What are the consequences of mistranslation and poor translation? And, while things are inevitably lost in translation, does this matter?

MedEx: a medication information extraction system for clinical narratives

PubMed Central

Stenner, Shane P; Doan, Son; Johnson, Kevin B; Waitman, Lemuel R; Denny, Joshua C

2010-01-01

Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. However, medication data are often recorded in clinical notes as free-text. As such, they are not accessible to other computerized applications that rely on coded data. We describe a new natural language processing system (MedEx), which extracts medication information from clinical notes. MedEx was initially developed using discharge summaries. An evaluation using a data set of 50 discharge summaries showed it performed well on identifying not only drug names (F-measure 93.2%), but also signature information, such as strength, route, and frequency, with F-measures of 94.5%, 93.9%, and 96.0% respectively. We then applied MedEx unchanged to outpatient clinic visit notes. It performed similarly with F-measures over 90% on a set of 25 clinic visit notes. PMID:20064797

Speech-Language Pathologist Job Satisfaction in School versus Medical Settings

ERIC Educational Resources Information Center

Kalkhoff, Nicole L.; Collins, Dana R.

2012-01-01

Purpose: The goal of this study was to determine if job satisfaction differs between speech-language pathologists (SLPs) working in school settings and SLPs working in medical settings. Method: The Job Satisfaction Survey (JSS) by Spector (1997) was sent via electronic mail to 250 SLPs in each of the 2 settings. Job satisfaction scores were…

The Patient's Right to Clear Communications in Health and Mental Health Delivery Service.

ERIC Educational Resources Information Center

Shuy, Roger W.

Persons from minority groups often are at a linguistic disadvantage in (Philadelphia, Pennsylvania, Nov. 22, 1975) the language and culture of the physician or psychoanalyst, who may be unaware of problems of understanding. Patients have certain language rights in medical care. (1) The right to human dignity in the medical relationship is…

21 CFR 201.16 - Drugs; Spanish-language version of certain required statements.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 4 2011-04-01 2011-04-01 false Drugs; Spanish-language version of certain...; Spanish-language version of certain required statements. An increasing number of medications restricted to... where Spanish is the predominant language. Such labeling is authorized under § 201.15(c). One required...

The Pursuit of Language Appropriate Care: Remote Simultaneous Medical Interpretation Use

ERIC Educational Resources Information Center

Logan, Debra M.

2010-01-01

Background: The U.S. government mandates nurses to deliver linguistically appropriate care to hospital patients. It is difficult for nurses to implement the language mandates because there are 6,912 active living languages spoken in the world. Language barriers appear to place limited English proficient (LEP) patients at increased risk for harm…

Semantic-Web Architecture for Electronic Discharge Summary Based on OWL 2.0 Standard.

PubMed

Tahmasebian, Shahram; Langarizadeh, Mostafa; Ghazisaeidi, Marjan; Safdari, Reza

2016-06-01

Patients' electronic medical record contains all information related to treatment processes during hospitalization. One of the most important documents in this record is the record summary. In this document, summary of the whole treatment process is presented which is used for subsequent treatments and other issues pertaining to the treatment. Using suitable architecture for this document, apart from the aforementioned points we can use it in other fields such as data mining or decision making based on the cases. In this study, at first, a model for patient's medical record summary has been suggested using semantic web-based architecture. Then, based on service-oriented architecture and using Java programming language, a software solution was designed and run in a way to generate medical record summary with this structure and at the end, new uses of this structure was explained. in this study a structure for medical record summaries along with corrective points within semantic web has been offered and a software running within Java along with special ontologies are provided. After discussing the project with the experts of medical/health data management and medical informatics as well as clinical experts, it became clear that suggested design for medical record summary apart from covering many issues currently faced in the medical records has also many advantages including its uses in research projects, decision making based on the cases etc.

Internet-based system for simulation-based medical planning for cardiovascular disease.

PubMed

Steele, Brooke N; Draney, Mary T; Ku, Joy P; Taylor, Charles A

2003-06-01

Current practice in vascular surgery utilizes only diagnostic and empirical data to plan treatments, which does not enable quantitative a priori prediction of the outcomes of interventions. We have previously described simulation-based medical planning methods to model blood flow in arteries and plan medical treatments based on physiologic models. An important consideration for the design of these patient-specific modeling systems is the accessibility to physicians with modest computational resources. We describe a simulation-based medical planning environment developed for the World Wide Web (WWW) using the Virtual Reality Modeling Language (VRML) and the Java programming language.

Stylistic features of case reports as a genre of medical discourse.

PubMed

Lysanets, Yuliia; Morokhovets, Halyna; Bieliaieva, Olena

2017-03-13

The present paper discusses the lexical and grammatical peculiarities of English language medical case reports, taking into account their communicative purposes and intentions. The objective of the research is to clarify the principal mechanisms of producing an effective English language medical case report and thus to provide recommendations and guidelines for medical professionals who will deal with this genre. The analysis of medical case reports will largely focus on the most significant linguistic peculiarities, such as the use of active and passive voice, the choice of particular verb tenses, and pronouns. The selected medical case reports will be considered using methods of lexico-grammatical analysis, quantitative examination, and contextual, structural, narrative, and stylistic analyses. The research revealed a range of important stylistic features of medical case reports which markedly distinguish them from other genres of medical scientific writing: educational and instructive intentions, conciseness and brevity, direct and personal tone, and material presented in a narrative style. The present research has shown that the communicative strategies of the analyzed discourse, mentioned immediately above, are effectively implemented by means of specific lexical units and grammatical structures: the dominance of active voice sentences, past simple tense, personal pronouns, and modal verbs. The research has also detected the occasional use of the present perfect, present simple, and future simple tenses and passive voice which also serve particular communicative purposes of medical case reports. Medical case reports possess a range of unique characteristics which differ from those of research articles and other scientific genres within the framework of written medical discourse. It is to be emphasized that it is highly important for medical professionals to master the major stylistic principles and communicative intentions of medical case report as a genre in order to share their findings with fellow researchers from all over the world. Hence, in the process of training future medical researchers, the analysis of the basic mechanisms of writing a medical case report should be an integral part of the curricula in English for Specific Purposes at universities.

A unified architecture for biomedical search engines based on semantic web technologies.

PubMed

Jalali, Vahid; Matash Borujerdi, Mohammad Reza

2011-04-01

There is a huge growth in the volume of published biomedical research in recent years. Many medical search engines are designed and developed to address the over growing information needs of biomedical experts and curators. Significant progress has been made in utilizing the knowledge embedded in medical ontologies and controlled vocabularies to assist these engines. However, the lack of common architecture for utilized ontologies and overall retrieval process, hampers evaluating different search engines and interoperability between them under unified conditions. In this paper, a unified architecture for medical search engines is introduced. Proposed model contains standard schemas declared in semantic web languages for ontologies and documents used by search engines. Unified models for annotation and retrieval processes are other parts of introduced architecture. A sample search engine is also designed and implemented based on the proposed architecture in this paper. The search engine is evaluated using two test collections and results are reported in terms of precision vs. recall and mean average precision for different approaches used by this search engine.

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

PubMed

Chen, W; Kowatch, R; Lin, S; Splaingard, M; Huang, Y

2015-01-01

Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible. We report on the development and implementation of the sleep disorder i2b2 cohort identification system using natural language processing of semi-structured documents. We developed a natural language processing approach to automatically parse concepts and their values from semi-structured sleep study documents. Two parsers were developed: a regular expression parser for extracting numeric concepts and a NLP based tree parser for extracting textual concepts. Concepts were further organized into i2b2 ontologies based on document structures and in-domain knowledge. 26,550 concepts were extracted with 99% being textual concepts. 1.01 million facts were extracted from sleep study documents such as demographic information, sleep study lab results, medications, procedures, diagnoses, among others. The average accuracy of terminology parsing was over 83% when comparing against those by experts. The system is capable of capturing both standard and non-standard terminologies. The time for cohort identification has been reduced significantly from a few weeks to a few seconds. Natural language processing was shown to be powerful for quickly converting large amount of semi-structured or unstructured clinical data into discrete concepts, which in combination of intuitive domain specific ontologies, allows fast and effective interactive cohort identification through the i2b2 platform for research and clinical use.

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2

PubMed Central

Chen, W.; Kowatch, R.; Lin, S.; Splaingard, M.

2015-01-01

Summary Nationwide Children’s Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible. Objective We report on the development and implementation of the sleep disorder i2b2 cohort identification system using natural language processing of semi-structured documents. Methods We developed a natural language processing approach to automatically parse concepts and their values from semi-structured sleep study documents. Two parsers were developed: a regular expression parser for extracting numeric concepts and a NLP based tree parser for extracting textual concepts. Concepts were further organized into i2b2 ontologies based on document structures and in-domain knowledge. Results 26,550 concepts were extracted with 99% being textual concepts. 1.01 million facts were extracted from sleep study documents such as demographic information, sleep study lab results, medications, procedures, diagnoses, among others. The average accuracy of terminology parsing was over 83% when comparing against those by experts. The system is capable of capturing both standard and non-standard terminologies. The time for cohort identification has been reduced significantly from a few weeks to a few seconds. Conclusion Natural language processing was shown to be powerful for quickly converting large amount of semi-structured or unstructured clinical data into discrete concepts, which in combination of intuitive domain specific ontologies, allows fast and effective interactive cohort identification through the i2b2 platform for research and clinical use. PMID:26171080

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.

Assessment of commercial NLP engines for medication information extraction from dictated clinical notes.

PubMed

Jagannathan, V; Mullett, Charles J; Arbogast, James G; Halbritter, Kevin A; Yellapragada, Deepthi; Regulapati, Sushmitha; Bandaru, Pavani

2009-04-01

We assessed the current state of commercial natural language processing (NLP) engines for their ability to extract medication information from textual clinical documents. Two thousand de-identified discharge summaries and family practice notes were submitted to four commercial NLP engines with the request to extract all medication information. The four sets of returned results were combined to create a comparison standard which was validated against a manual, physician-derived gold standard created from a subset of 100 reports. Once validated, the individual vendor results for medication names, strengths, route, and frequency were compared against this automated standard with precision, recall, and F measures calculated. Compared with the manual, physician-derived gold standard, the automated standard was successful at accurately capturing medication names (F measure=93.2%), but performed less well with strength (85.3%) and route (80.3%), and relatively poorly with dosing frequency (48.3%). Moderate variability was seen in the strengths of the four vendors. The vendors performed better with the structured discharge summaries than with the clinic notes in an analysis comparing the two document types. Although automated extraction may serve as the foundation for a manual review process, it is not ready to automate medication lists without human intervention.

Neurobiology and neurodevelopmental impact of childhood traumatic stress and prenatal alcohol exposure.

PubMed

Henry, Jim; Sloane, Mark; Black-Pond, Connie

2007-04-01

Research reveals that prenatal alcohol exposure and child trauma (i.e., abuse, neglect, sexual abuse) can have deleterious effects on child development across multiple domains. This study analyzed the impact on childhood neurodevelopment of prenatal alcohol exposure and postnatal traumatic experience compared to postnatal traumatic experience alone. Although the harmful effects of both have been well documented individually, there is no research documenting the concurrent effects of prenatal alcohol exposure and postnatal trauma on a child's developmental process. Transdisciplinary assessment of the children included the core disciplines of medicine, speech-language pathology, occupational therapy, social work, and psychology. Medical examination, standardized developmental and intelligence testing, projective tools, parent questionnaires, and psychosocial interviews provided information in the primary developmental areas. Findings indicated that children who had been exposed prenatally to alcohol along with postnatal traumatic experience had lower intelligence scores and more severe neurodevelopmental deficits in language, memory, visual processing, motor skills, and attention than did traumatized children without prenatal alcohol exposure, as well as greater oppositional/defiant behavior, inattention, hyperactivity, impulsivity, and social problems. Successful teacher and speech-language pathologist interventions with traumatized children with prenatal alcohol exposure demand a paradigm shift that requires the development of new perspectives and ongoing training.

Natural Language Processing Technologies in Radiology Research and Clinical Applications.

PubMed

Cai, Tianrun; Giannopoulos, Andreas A; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K; Rybicki, Frank J; Mitsouras, Dimitrios

2016-01-01

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the heterogeneity of how these data are formatted. Indeed, although there is movement toward structured reporting in radiology (ie, hierarchically itemized reporting with use of standardized terminology), the majority of radiology reports remain unstructured and use free-form language. To effectively "mine" these large datasets for hypothesis testing, a robust strategy for extracting the necessary information is needed. Manual extraction of information is a time-consuming and often unmanageable task. "Intelligent" search engines that instead rely on natural language processing (NLP), a computer-based approach to analyzing free-form text or speech, can be used to automate this data mining task. The overall goal of NLP is to translate natural human language into a structured format (ie, a fixed collection of elements), each with a standardized set of choices for its value, that is easily manipulated by computer programs to (among other things) order into subcategories or query for the presence or absence of a finding. The authors review the fundamentals of NLP and describe various techniques that constitute NLP in radiology, along with some key applications. ©RSNA, 2016.

Natural Language Processing Technologies in Radiology Research and Clinical Applications

PubMed Central

Cai, Tianrun; Giannopoulos, Andreas A.; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K.; Rybicki, Frank J.

2016-01-01

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the heterogeneity of how these data are formatted. Indeed, although there is movement toward structured reporting in radiology (ie, hierarchically itemized reporting with use of standardized terminology), the majority of radiology reports remain unstructured and use free-form language. To effectively “mine” these large datasets for hypothesis testing, a robust strategy for extracting the necessary information is needed. Manual extraction of information is a time-consuming and often unmanageable task. “Intelligent” search engines that instead rely on natural language processing (NLP), a computer-based approach to analyzing free-form text or speech, can be used to automate this data mining task. The overall goal of NLP is to translate natural human language into a structured format (ie, a fixed collection of elements), each with a standardized set of choices for its value, that is easily manipulated by computer programs to (among other things) order into subcategories or query for the presence or absence of a finding. The authors review the fundamentals of NLP and describe various techniques that constitute NLP in radiology, along with some key applications. ©RSNA, 2016 PMID:26761536

Third Party Interaction in the Medical Context: Code-switching and Control

PubMed Central

Vickers, Caroline H.; Goble, Ryan; Deckert, Sharon K.

2015-01-01

The purpose of this paper is to examine the micro-interactional co-construction of power within Spanish language concordant medical consultations in California involving a third party family member. Findings indicate the third party instigates code-switching to English on the part of medical providers, a language that the patient does not understand, rendering the patient a non-participant in the medical consultation. In these consultations involving a third party family member, monolingual Spanish-speaking patients are stripped of control in ways that are similar to other powerless groups in medical consultations. Implications include the need to further examine how micro-level interactions reproduce societal ideologies and shape policy on the ground. PMID:27667896

Identification of limited English proficient patients in clinical care.

PubMed

Karliner, Leah S; Napoles-Springer, Anna M; Schillinger, Dean; Bibbins-Domingo, Kirsten; Pérez-Stable, Eliseo J

2008-10-01

Standardized means to identify patients likely to benefit from language assistance are needed. To evaluate the accuracy of the U.S. Census English proficiency question (Census-LEP) in predicting patients' ability to communicate effectively in English. We investigated the sensitivity and specificity of the Census-LEP alone or in combination with a question on preferred language for medical care for predicting patient-reported ability to discuss symptoms and understand physician recommendations in English. Three hundred and two patients > 18 who spoke Spanish and/or English recruited from a cardiology clinic and an inpatient general medical-surgical ward in 2004-2005. One hundred ninety-eight (66%) participants reported speaking English less than "very well" and 166 (55%) less than "well"; 157 (52%) preferred receiving their medical care in Spanish. Overall, 135 (45%) were able to discuss symptoms and 143 (48%) to understand physician recommendations in English. The Census-LEP with a high-threshold (less than "very well") had the highest sensitivity for predicting effective communication (100% Discuss; 98.7% Understand), but the lowest specificity (72.6% Discuss; 67.1% Understand). The composite measure of Census-LEP and preferred language for medical care provided a significant increase in specificity (91.9% Discuss; 83.9% Understand), with only a marginal decrease in sensitivity (99.4% Discuss; 96.7% Understand). Using the Census-LEP item with a high-threshold of less than "very well" as a screening question, followed by a language preference for medical care question, is recommended for inclusive and accurate identification of patients likely to benefit from language assistance.

Dynamic generation of a table of contents with consumer-friendly labels.

PubMed

Miller, Trudi; Leroy, Gondy; Wood, Elizabeth

2006-01-01

Consumers increasingly look to the Internet for health information, but available resources are too difficult for the majority to understand. Interactive tables of contents (TOC) can help consumers access health information by providing an easy to understand structure. Using natural language processing and the Unified Medical Language System (UMLS), we have automatically generated TOCs for consumer health information. The TOC are categorized according to consumer-friendly labels for the UMLS semantic types and semantic groups. Categorizing phrases by semantic types is significantly more correct and relevant. Greater correctness and relevance was achieved with documents that are difficult to read than those at an easier reading level. Pruning TOCs to use categories that consumers favor further increases relevancy and correctness while reducing structural complexity.

Application Of The CSRL Language To The Design Of Diagnostic Expert Systems: The Moodis Experience, A Preliminary Report

NASA Astrophysics Data System (ADS)

Bravos, Angelo; Hill, Howard; Choca, James; Bresolin, Linda B.; Bresolin, Michael J.

1986-03-01

Computer technology is rapidly becoming an inseparable part of many health science specialties. Recently, a new area of computer technology, namely Artificial Intelligence, has been applied toward assisting the medical experts in their diagnostic and therapeutic decision making process. MOODIS is an experimental diagnostic expert system which assists Psychiatry specialists in diagnosing human Mood Disorders, better known as Affective Disorders. Its diagnostic methodology is patterned after MDX, a diagnostic expert system developed at LAIR (Laboratory for Artificial Intelligence Research) of Ohio State University. MOODIS is implemented in CSRL (Conceptual Structures Representation Language) also developed at LAIR. This paper describes MOODIS in terms of conceptualization and requirements, and discusses why the MDX approach and CSRL were chosen.

Al-Manakh: Language Centre Journal, Volume 4, Number 2, June 1980.

ERIC Educational Resources Information Center

Richards, Edward, Ed.

1980-01-01

This journal for second language teachers contains seven articles. "Video in Language Teaching," by Michael Laflin, is a defense for the use of video equipment in the language classroom. In "Constructing an Index," Diane Adams-Smith and Desmond MacCullagh describe a course in medical record administration in which the students compiled a medical…

Motives and Outcomes of New Zealand Sign Language Legislation: A Comparative Study between New Zealand and Finland

ERIC Educational Resources Information Center

Reffell, Hayley; McKee, Rachel Locker

2009-01-01

The medicalized interpretation of deafness has until recently seen the rights and protections of sign language users embedded in disability law. Yet the rights and protections crucial to sign language users centre predominantly on matters of language access, maintenance and identity. Legislators, motivated by pressure from sign language…

Medication communication between nurses and doctors for paediatric acute care: An ethnographic study.

PubMed

Borrott, Narelle; Kinney, Sharon; Newall, Fiona; Williams, Allison; Cranswick, Noel; Wong, Ian; Manias, Elizabeth

2017-07-01

To examine how communication between nurses and doctors occurred for managing medications in inpatient paediatric settings. Communication between health professionals influences medication incidents' occurrence and safe care. An ethnographic study was undertaken. Semi-structured interviews, observations and focus groups were conducted in three clinical areas of an Australian tertiary paediatric hospital. Data were transcribed verbatim and thematically analysed using the Medication Communication Model. The actual communication act revealed health professionals' commitment to effective medication management and the influence of professional identities on medication communication. Nurses and doctors were dedicated to providing safe, effective medication therapy for children, within their scope of practice and perceived role responsibilities. Most nurses and junior doctors used tentative language in their communication while senior doctors tended to use direct language. Irrespective of language style, nurses actively engaged with doctors to promote patients' needs. Yet, the medical hierarchical structure, staffing and attendant expectations influenced communication for medication management, causing frustration among nurses and doctors. Doctors' lack of verbal communication of documented changes to medication orders particularly troubled nurses. Nurses persisted in their efforts to acquire appropriate orders for safe medication administration to paediatric patients. Collaborative practice between nurses and doctors involved complex, symbiotic relationships. Their dedication to providing safe medication therapy to paediatric patients facilitated effective medication management. At times, shortcomings in interdisciplinary communication impacted on potential and actual medication incidents. Understanding of the complexities affecting medication communication between nurses and doctors helps to ensure interprofessional respect for each other's roles and inherent demands. Interdisciplinary education delivered in healthcare organisations would facilitate greater clarity in communication related to medications. Encouraging the use of concise, clear words in communication would help to promote improved understanding between parties, and accuracy and efficacy of medication management. © 2016 John Wiley & Sons Ltd.

Approaches to enhance the teaching quality of experimental biochemistry for MBBS students in TSMU, China.

PubMed

Yu, Lijuan; Yi, Shuying; Zhai, Jing; Wang, Zhaojin

2017-07-08

With the internationalization of medical education in China, the importance of international students' education in medical schools is also increasing. Except foreign students majoring in Chinese language, English Bachelor of Medicine, Bachelor of Surgery (MBSS) students are the largest group of international students. Based on problems in the teaching process for experimental biochemistry, we designed teaching models adapted to the background of international students and strengthened teachers' teaching ability at Taishan Medical University. Several approaches were used in combination to promote teaching effects and increase the benefit of teaching to teachers. The primary data showed an increased passion for basic medical biochemistry and an improved theoretical background for MBSS students, which will be helpful for their later clinical medicine studies. © 2017 by The International Union of Biochemistry and Molecular Biology, 45(4):360-364, 2017. © 2017 The International Union of Biochemistry and Molecular Biology.

Structured vs. Unstructured: Factors Affecting Adverse Drug Reaction Documentation in an EMR Repository

PubMed Central

Skentzos, Stephen; Shubina, Maria; Plutzky, Jorge; Turchin, Alexander

2011-01-01

Adverse reactions to medications to which the patient was known to be intolerant are common. Electronic decision support can prevent them but only if history of adverse reactions to medications is recorded in structured format. We have conducted a retrospective study of 31,531 patients with adverse reactions to statins documented in the notes, as identified with natural language processing. The software identified statin adverse reactions with sensitivity of 86.5% and precision of 91.9%. Only 9020 of these patients had an adverse reaction to a statin recorded in structured format. In multivariable analysis the strongest predictor of structured documentation was utilization of EMR functionality that integrated the medication list with the structured medication adverse reaction repository (odds ratio 48.6, p < 0.0001). Integration of information flow between EMR modules can help improve documentation and potentially prevent adverse drug events. PMID:22195188

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%.

The language of modern medicine: it's all Greek to me.

PubMed

Lewis, Kristopher N

2004-01-01

The Greek language has shaped and formed the lexicon of modern medicine. Although medical terminology may seem complex and difficult to master, the clarity and functionality of this language owe a great debt to the tongue of the classical Greeks.

Predicting Motor Skills from Strengths and Difficulties Questionnaire Scores, Language Ability, and Other Features of New Zealand Children Entering Primary School

ERIC Educational Resources Information Center

Sargisson, Rebecca J.; Powell, Cheniel; Stanley, Peter; de Candole, Rosalind

2014-01-01

The motor and language skills, emotional and behavioural problems of 245 children were measured at school entry. Fine motor scores were significantly predicted by hyperactivity, phonetic awareness, prosocial behaviour, and the presence of medical problems. Gross motor scores were significantly predicted by the presence of medical problems. The…

[A linguistic analysis of Norwegian medical discourse].

PubMed

Fløttum, Kjersti

2006-01-05

Recent studies show that the traditional conception of academic writing practices as neutral and deprived of personal elements needs to be revised. The KIAP project investigates whether there is such a thing as cultural identity in academic prose and to what extent it may be related to discipline or language. The genre "research article" is analysed with respect to specific linguistic devises which may indicate similarities and differences between articles written in different languages (English, French, Norwegian) and within different disciplines (economics, linguistics, medicine). The material consists of an electronic corpus containing 450 refereed articles taken from recognised journals. The methods used are both quantitative and qualitative. The results confirm the main hypothesis that discipline is more important than language for the explanation of similarities and differences between the nine sub-corpora. Medical articles in all languages are characterised by relatively few occurrences of first person pronouns, indefinite pronouns, meta-textual elements, negations and concessive constructions; on the other hand, medical articles have the highest frequency as regards bibliographical references. These observations may to some extent be explained by different academic traditions, different objects of study and different methods. Norwegian medical articles contain relatively more occurrences of the studied linguistic phenomena than the English and French articles.

Medical Students' Experiences and Perspectives on Interpreting for LEP Patients at Two US Medical Schools.

PubMed

Vela, Monica B; Fritz, Cassandra; Press, Valerie G; Girotti, Jorge

2016-06-01

Language concordance between patient and provider has been shown to improve health outcomes for Limited English Proficiency (LEP) patients. However, health care teams often use available ad hoc interpreters without knowing whether their language skills are adequate. Little is known about the role of medical students working as ad hoc interpreters. Bilingual medical students are engaged as interpreters in the care of LEP patients and may serve as a potential resource for health care teams caring for LEP patients. We conducted a multi-institutional online survey of graduating medical students at the University of Illinois and the University of Chicago in 2011 and 2012, containing both qualitative and quantitative questions regarding their experiences as interpreters for LEP patients. Half (216/430) of contacted students completed the survey; 40 % (87/216) of responding students reported being bilingual. Of these students, the vast majority, 84 % (73/87), had been asked to interpret for patients in the clinical setting. Only 12 % (10/87) of students reported having felt uncomfortable interpreting for patients "often" or "very often." Over half (53 %, 46/87) described incidents during which they felt uncomfortable interpreting. Seventeen (17/46, 37 %) students described those incidents as high-stakes clinical settings. Medical schools and health care institutions should establish guidelines for students who identify as fluent in another language and are interested in interpreting for LEP patients in clinical settings, to protect both students and patients when language poses a barrier to quality care.

Using the eXtensible Markup Language (XML) in a regional electronic patient record for patients with malignant diseases.

PubMed

Wolff, A C; Mludek, V; van der Haak, M; Bork, W; Bülzebruck, H; Drings, P; Schmücker, P; Wannenmacher, M; Haux, R

2001-01-01

Communication between different institutions which are responsible for the treatment of the same patient is of outstanding significance, especially in the field of tumor diseases. Regional electronic patient records could support the co-operation of different institutions by providing ac-cess to all necessary information whether it belongs to the own institution or to a partner. The Department of Medical Informatics, University of Heidelberg is performing a project in co-operation with the Thoraxclinic-Heidelberg and the Department of Clinical Radiology, University of Heidelberg with the goal: to define an architectural concept for interlinking the electronic patient record of the two clinical institutions to build a common virtual electronic patient record and carry out an exemplary implementation, to examine composition, structure and content of medical documents for tumor patients with the aim of defining an XML-based markup language allowing summarizing overviews and suitable granularities, and to integrate clinical practice guidelines and other external knowledge with the electronic patient record using XML-technologies to support the physician in the daily decision process. This paper will show, how a regional electronic patient record could be built on an architectural level and describe elementary steps towards a on content-oriented structuring of medical records.

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.

PubMed

Temple, Michael W; Lehmann, Christoph U; Fabbri, Daniel

2016-01-01

Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non-medical reasons including the procurement of home medical equipment, parental education, and the need for children's services. We previously created a model to identify patients that will be medically ready for discharge in the subsequent 2-10 days. In this study we use Natural Language Processing to improve upon that model and discern why the model performed poorly on certain patients. We retrospectively examined the text of the Assessment and Plan section from daily progress notes of 4,693 patients (103,206 patient-days) from the NICU of a large, academic children's hospital. A matrix was constructed using words from NICU notes (single words and bigrams) to train a supervised machine learning algorithm to determine the most important words differentiating poorly performing patients compared to well performing patients in our original discharge prediction model. NLP using a bag of words (BOW) analysis revealed several cohorts that performed poorly in our original model. These included patients with surgical diagnoses, pulmonary hypertension, retinopathy of prematurity, and psychosocial issues. The BOW approach aided in cohort discovery and will allow further refinement of our original discharge model prediction. Adequately identifying patients discharged home on g-tube feeds alone could improve the AUC of our original model by 0.02. Additionally, this approach identified social issues as a major cause for delayed discharge. A BOW analysis provides a method to improve and refine our NICU discharge prediction model and could potentially avoid over 900 (0.9%) hospital days.

Big Data Analyses in Health and Opportunities for Research in Radiology.

PubMed

Aphinyanaphongs, Yindalon

2017-02-01

This article reviews examples of big data analyses in health care with a focus on radiology. We review the defining characteristics of big data, the use of natural language processing, traditional and novel data sources, and large clinical data repositories available for research. This article aims to invoke novel research ideas through a combination of examples of analyses and domain knowledge. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Ethical issues in a pediatric private practice.

PubMed

Jakubowitz, Melissa

2011-11-01

Building a successful pediatric private practice requires clinical expertise and an understanding of the business process, as well as familiarity with the American Speech-Language-Hearing Association Code of Ethics. This article provides an overview of the ethical issues that may be encountered when building a practice, including a look at marketing and advertising, financial management, privacy, and documentation. Ethically sound decision making is a key to a successful business. © Thieme Medical Publishers.

[Use of ICF Core Sets for medical reports concerning patients with low back pain and chronic widespread pain syndrome].

PubMed

Kirschneck, M; Winkelmann, A; Kirchberger, I; Glässel, A; Ewert, T; Stucki, G; Cieza, A

2008-11-01

Medical reports of the national pension insurance are essential for the national pension regulatory authority to decide on granting services regarding participation as well as retirement pensions due to inability to work. There are guidelines regarding the content of medical reports. It is also generally accepted that the evaluation of functioning is an essential component of them. However, it is still an open question to what extent the standardisation and the objectiveness of medical reports can be improved. The ICF (International Classification of Functioning, Disability and Health) is a framework as well as a common language for describing functioning and disability. ICF Core Sets are lists of disease-specific relevant ICF categories and can be a useful practicable tool for medical reports for national pension insurance. They could support the standardization of the medical reports. The aim of this planned project is to examine whether the ICF Core Sets for low back pain and chronic widespread pain could serve as a useful basis for medical reports for national pension insurance regarding the patients suffering low back pain or chronic widespread pain. Six hundred medical reports from patients with low back pain or chronic widespread pain, respectively, will be translated into the language of the ICF using a retrospective qualitative study design. For this translation ('linking') process specialised physicians from the national pension insurance and members of the Institute for Health and Rehabilitations Science will be trained to use established linking rules. STATE OF THE PROJECT: Currently, a total of 244 medical reports from the national pension insurance with the health conditions low back pain or chronic widespread pain were selected by members of the national pension insurance. The medical reports are anonymised in different federal states according to the appropriate requirements. The first 10 medical reports have already being analysed. First analyses show that the structure of medical reports varies enormously. Therefore a comparison of the content without having a common basis is hardly possible. This demonstrates the importance of the project and the possible usefulness of the ICF and the ICF Core Sets for structuring the content of medical reports for the national pension insurance.

The three official language versions of the Declaration of Helsinki: what's lost in translation?

PubMed

Carlson, Robert V; van Ginneken, Nadja H; Pettigrew, Luisa M; Davies, Alan; Boyd, Kenneth M; Webb, David J

2007-09-01

The Declaration of Helsinki, the World Medical Association's (WMA's) statement of ethical guidelines regarding medical research, is published in the three official languages of the WMA: English, French and Spanish. A detailed comparison of the three official language versions was carried out to determine ways in which they differed and ways in which the wording of the three versions might illuminate the interpretation of the document. There were many minor linguistic differences between the three versions. However, in paragraphs 1, 6, 29, 30 and in the note of clarification to paragraph 29, there were differences that could be considered potentially significant in their ethical relevance. Given the global status of the Declaration of Helsinki and the fact that it is translated from its official versions into many other languages for application to the ethical conduct of research, the differences identified are of concern. It would be best if such differences could be eliminated but, at the very least, a commentary to explain any differences that are unavoidable on the basis of language or culture should accompany the Declaration of Helsinki. This evidence further strengthens the case for international surveillance of medical research ethics as has been proposed by the WMA.

Semantic extraction and processing of medical records for patient-oriented visual index

NASA Astrophysics Data System (ADS)

Zheng, Weilin; Dong, Wenjie; Chen, Xiangjiao; Zhang, Jianguo

2012-02-01

To have comprehensive and completed understanding healthcare status of a patient, doctors need to search patient medical records from different healthcare information systems, such as PACS, RIS, HIS, USIS, as a reference of diagnosis and treatment decisions for the patient. However, it is time-consuming and tedious to do these procedures. In order to solve this kind of problems, we developed a patient-oriented visual index system (VIS) to use the visual technology to show health status and to retrieve the patients' examination information stored in each system with a 3D human model. In this presentation, we present a new approach about how to extract the semantic and characteristic information from the medical record systems such as RIS/USIS to create the 3D Visual Index. This approach includes following steps: (1) Building a medical characteristic semantic knowledge base; (2) Developing natural language processing (NLP) engine to perform semantic analysis and logical judgment on text-based medical records; (3) Applying the knowledge base and NLP engine on medical records to extract medical characteristics (e.g., the positive focus information), and then mapping extracted information to related organ/parts of 3D human model to create the visual index. We performed the testing procedures on 559 samples of radiological reports which include 853 focuses, and achieved 828 focuses' information. The successful rate of focus extraction is about 97.1%.

Descriptions of Selected Career-Related College Language Courses

ERIC Educational Resources Information Center

Knodel, Arthur J.; And Others

1977-01-01

Seven courses or programs at different colleges emphasizing specific career applications of languages are described. They include: Technical French; Spanish for Law Enforcement and Correctional Personnel; Executive German; Proyecto Desarrollo Economico; Spanish for Medical Professions; Elements of Foreign Language, and Business French and Business…

Tips from the Classroom.

ERIC Educational Resources Information Center

Wilhelm, Kim Hughes; Leverett, Thomas; Barrett, Rob J.; Chur-Hansen, Anna; Dantas-Whitney, Maria; Zapata, Gabriela; Garcia, Juan Felix

1998-01-01

Five articles present tips for rallying English-as-a-Second-Language students to the enterprise of creating context, tools, and language itself. The articles focus on using original dramas created by students, teaching nonnative English-speaking medical students to comprehend their patients' colloquial language, conducting research with native…

[Dissemination of medical information in Europe, the USA and Japan, 1850-1870: focusing on information concerning the hypodermic injection method].

PubMed

Tsukisawa, Miyoko

2011-12-01

Modern medicine was introduced in Japan in the second half of the nineteenth century. In order to investigate this historical process, this paper focuses on the dissemination of information of a new medical technology developed in the mid-nineteenth century; it does so by making comparisons of the access to medical information between Europe, the USA and Japan. The hypodermic injection method was introduced in the clinical field in Europe and the USA as a newly developed therapeutic method during the 1850s and 1870s. This study analyzed information on the medical assessments of this method by clinicians of these periods. The crucial factor in accumulating this information was to develop a worldwide inter-medical communication circle with the aid of the medical journals. Information on the hypodermic injection method was introduced in Japan almost simultaneously with its introduction in Europe and the USA. However, because of the geographical distance and the language barrier, Japanese clinicians lacked access to this worldwide communication circle, and they accepted this new method without adequate medical technology assessments.

Clinicians' Obligations to Use Qualified Medical Interpreters When Caring for Patients with Limited English Proficiency.

PubMed

Basu, Gaurab; Costa, Vonessa Phillips; Jain, Priyank

2017-03-01

Access to language services is a required and foundational component of care for patients with limited English proficiency (LEP). National standards for medical interpreting set by the US Department of Health and Human Services and by the National Council on Interpreting in Health Care establish the role of qualified medical interpreters in the provision of care in the United States. In the vignette, the attending physician infringes upon the patient's right to appropriate language services and renders unethical care. Clinicians are obliged to create systems and a culture that ensure quality care for patients with LEP. © 2017 American Medical Association. All Rights Reserved.

Health sciences descriptors in the brazilian speech-language and hearing science.

PubMed

Campanatti-Ostiz, Heliane; Andrade, Claudia Regina Furquim de

2010-01-01

Terminology in Speech-Language and Hearing Science. To propose a specific thesaurus about the Speech-Language and Hearing Science, for the English, Portuguese and Spanish languages, based on the existing keywords available on the Health Sciences Descriptors (DeCS). Methodology was based on the pilot study developed by Campanatti-Ostiz and Andrade; that had as a purpose to verify the methodological viability for the creation of a Speech-Language and Hearing Science category in the DeCS. The scientific journals selected for analyses of the titles, abstracts and keywords of all scientific articles were those in the field of the Speech-Language and Hearing Science, indexed on the SciELO. 1. Recovery of the Descriptors in the English language (Medical Subject Headings--MeSH); 2. Recovery and hierarchic organization of the descriptors in the Portuguese language was done (DeCS). The obtained data was analyzed as follows: descriptive analyses and relative relevance analyses of the DeCS areas. Based on the first analyses, we decided to select all 761 descriptors, with all the hierarchic numbers, independently of their occurrence (occurrence number--ON), and based on the second analyses, we decided to propose to exclude the less relevant areas and the exclusive DeCS areas. The proposal was finished with a total of 1676 occurrences of DeCS descriptors, distributed in the following areas: Anatomy; Diseases; Analytical, Diagnostic and Therapeutic Techniques and Equipments; Psychiatry and Psychology; Phenomena and Processes; Health Care. The presented proposal of a thesaurus contains the specific terminology of the Brazilian Speech-Language and Hearing Sciences and reflects the descriptors of the published scientific production. Being the DeCS a trilingual vocabulary (Portuguese, English and Spanish), the present descriptors organization proposition can be used in these three languages, allowing greater cultural interchange between different nations.

Teaching medical students to use simple language when talking with patients.

PubMed

Cohen, I

1989-01-01

Physicians know much about health and illness. The information is often complicated and difficult to understand. Part of the physician's task is to help the patient understand the information so that the patient may help himself. The accurate transfer of the information requires that physicians have excellent communication skills. One such skill is the ability to use language which is easily understood by the patient. This study suggests that, after preclinical medical students assume a formal teaching role in secondary schools, they are more likely to use simpler language when talking with patients during their final undergraduate year.

Enhancement of CLAIM (clinical accounting information) for a localized Chinese version.

PubMed

Guo, Jinqiu; Takada, Akira; Niu, Tie; He, Miao; Tanaka, Koji; Sato, Junzo; Suzuki, Muneou; Takahashi, Kiwamu; Daimon, Hiroyuki; Suzuki, Toshiaki; Nakashima, Yusei; Araki, Kenji; Yoshihara, Hiroyuki

2005-10-01

CLinical Accounting InforMation (CLAIM) is a standard for the exchange of data between patient accounting systems and electronic medical record (EMR) systems. It uses eXtensible Markup Language (XML) as a meta-language and was developed in Japan. CLAIM is subordinate to the Medical Markup Language (MML) standard, which allows the exchange of medical data between different medical institutions. It has inherited the basic structure of MML 2.x and the current version, version 2.1, contains two modules and nine data definition tables. In China, no data exchange standard yet exists that links EMR systems to accounting systems. Taking advantage of CLAIM's flexibility, we created a localized Chinese version based on CLAIM 2.1. Since Chinese receipt systems differ from those of Japan, some information such as prescription formats, etc. are also different from those in Japan. Two CLAIM modules were re-engineered and six data definition tables were either added or redefined. The Chinese version of CLAIM takes local needs into account, and consequently it is now possible to transfer data between the patient accounting systems and EMR systems of Chinese medical institutions effectively.

Personalising e-learning modules: targeting Rasmussen levels using XML.

PubMed

Renard, J M; Leroy, S; Camus, H; Picavet, M; Beuscart, R

2003-01-01

The development of Internet technologies has made it possible to increase the number and the diversity of on-line resources for teachers and students. Initiatives like the French-speaking Virtual Medical University Project (UMVF) try to organise the access to these resources. But both teachers and students are working on a partly redundant subset of knowledge. From the analysis of some French courses we propose a model for knowledge organisation derived from Rasmussen's stepladder. In the context of decision-making Rasmussen has identified skill-based, rule-based and knowledge-based levels for the mental process. In the medical context of problem-solving, we apply these three levels to the definition of three students levels: beginners, intermediate-level learners, experts. Based on our model, we build a representation of the hierarchical structure of data using XML language. We use XSLT Transformation Language in order to filter relevant data according to student level and to propose an appropriate display on students' terminal. The model and the XML implementation we define help to design tools for building personalised e-learning modules.

Mayo clinic NLP system for patient smoking status identification.

PubMed

Savova, Guergana K; Ogren, Philip V; Duffy, Patrick H; Buntrock, James D; Chute, Christopher G

2008-01-01

This article describes our system entry for the 2006 I2B2 contest "Challenges in Natural Language Processing for Clinical Data" for the task of identifying the smoking status of patients. Our system makes the simplifying assumption that patient-level smoking status determination can be achieved by accurately classifying individual sentences from a patient's record. We created our system with reusable text analysis components built on the Unstructured Information Management Architecture and Weka. This reuse of code minimized the development effort related specifically to our smoking status classifier. We report precision, recall, F-score, and 95% exact confidence intervals for each metric. Recasting the classification task for the sentence level and reusing code from other text analysis projects allowed us to quickly build a classification system that performs with a system F-score of 92.64 based on held-out data tests and of 85.57 on the formal evaluation data. Our general medical natural language engine is easily adaptable to a real-world medical informatics application. Some of the limitations as applied to the use-case are negation detection and temporal resolution.

Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language

PubMed Central

West, Andrew G

2015-01-01

Background Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. Objective This paper quantifies the production and consumption of Wikipedia’s medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia’s natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia’s medical contributors, including year-over-year participation trends and editor demographics. Methods Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis. Results Wikipedia’s medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85.5% (100/117) had a university education. Conclusions Although Wikipedia has a considerable volume of multilingual medical content that is extensively read and well-referenced, the core group of editors that contribute and maintain that content is small and shrinking in size. PMID:25739399

Wikipedia and medicine: quantifying readership, editors, and the significance of natural language.

PubMed

Heilman, James M; West, Andrew G

2015-03-04

Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. This paper quantifies the production and consumption of Wikipedia's medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia's natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia's medical contributors, including year-over-year participation trends and editor demographics. Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis. Wikipedia's medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85.5% (100/117) had a university education. Although Wikipedia has a considerable volume of multilingual medical content that is extensively read and well-referenced, the core group of editors that contribute and maintain that content is small and shrinking in size.

Unlocking echocardiogram measurements for heart disease research through natural language processing.

PubMed

Patterson, Olga V; Freiberg, Matthew S; Skanderson, Melissa; J Fodeh, Samah; Brandt, Cynthia A; DuVall, Scott L

2017-06-12

In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study. A natural language processing system using a dictionary lookup, rules, and patterns was developed to extract heart function measurements that are typically recorded in echocardiogram reports as measurement-value pairs. Curated semantic bootstrapping was used to create a custom dictionary that extends existing terminologies based on terms that actually appear in the medical record. A novel disambiguation method based on semantic constraints was created to identify and discard erroneous alternative definitions of the measurement terms. The system was built utilizing a scalable framework, making it available for processing large datasets. The system was developed for and validated on notes from three sources: general clinic notes, echocardiogram reports, and radiology reports. The system achieved F-scores of 0.872, 0.844, and 0.877 with precision of 0.936, 0.982, and 0.969 for each dataset respectively averaged across all extracted values. Left ventricular ejection fraction (LVEF) is the most frequently extracted measurement. The precision of extraction of the LVEF measure ranged from 0.968 to 1.0 across different document types. This system illustrates the feasibility and effectiveness of a large-scale information extraction on clinical data. New clinical questions can be addressed in the domain of heart failure using retrospective clinical data analysis because key heart function measurements can be successfully extracted using natural language processing.

Automated Assessment of Medical Students' Clinical Exposures according to AAMC Geriatric Competencies.

PubMed

Chen, Yukun; Wrenn, Jesse; Xu, Hua; Spickard, Anderson; Habermann, Ralf; Powers, James; Denny, Joshua C

2014-01-01

Competence is essential for health care professionals. Current methods to assess competency, however, do not efficiently capture medical students' experience. In this preliminary study, we used machine learning and natural language processing (NLP) to identify geriatric competency exposures from students' clinical notes. The system applied NLP to generate the concepts and related features from notes. We extracted a refined list of concepts associated with corresponding competencies. This system was evaluated through 10-fold cross validation for six geriatric competency domains: "medication management (MedMgmt)", "cognitive and behavioral disorders (CBD)", "falls, balance, gait disorders (Falls)", "self-care capacity (SCC)", "palliative care (PC)", "hospital care for elders (HCE)" - each an American Association of Medical Colleges competency for medical students. The systems could accurately assess MedMgmt, SCC, HCE, and Falls competencies with F-measures of 0.94, 0.86, 0.85, and 0.84, respectively, but did not attain good performance for PC and CBD (0.69 and 0.62 in F-measure, respectively).

A word-count approach to analyze linguistic patterns in the reflective writings of medical students.

PubMed

Lin, Chi-Wei; Lin, Meei-Ju; Wen, Chin-Chen; Chu, Shao-Yin

2016-01-01

Teaching reflection and administering reflective writing assignments to students are widely practiced and discussed in medical education and health professional education. However, little is known about how medical students use language to construct their narratives. Exploring students' linguistic patterns in their reflective writings can facilitate understanding the scope and facets of their reflections and their representational or communication approaches to share their experiences. Moreover, research findings regarding gender differences in language use are inconsistent. Therefore, we attempted to examine how females and males differ in their use of words in reflective writing within our research circumstance to detect the unique and gender-specific approaches to learning and their applications. We analyzed the linguistic profiles of psychological process categories in the reflective writings of medical students and examined the difference in word usage between male and female medical students. During the first year of a clinical rotation, 60 fifth-year medical students wrote reflective narratives regarding pediatric patients and the psychosocial challenges faced by the patients and their family members. The narratives were analyzed using the Chinese version of Linguistic Inquiry and Word Count (CLIWC), a text analysis software program. Multivariate procedures were applied for statistical analysis. Cognitive words were most pervasive, averaging 22.16%, whereas perceptual words (2.86%) were least pervasive. Female students used more words related to positive emotions and sadness than did male students. The male students exceeded the female students only in the space category. The major limitation of this study is that CLIWC cannot directly acquire contextual text meanings; therefore, depending on the research topic, further qualitative study of the given texts might be necessary. To enhance students' empathy toward the psychosocial issues faced by patients and their family members, students should be encouraged to explore the domain of psychological processes by identifying and expressing their affective and perceptual experiences. Researchers in future studies should use outcome measures such as self-awareness or empathy to determine the overall effectiveness of reflective writing and how changes in linguistic patterns affect such outcomes.

A word-count approach to analyze linguistic patterns in the reflective writings of medical students.

PubMed

Lin, Chi-Wei; Lin, Meei-Ju; Wen, Chin-Chen; Chu, Shao-Yin

2016-01-01

Background Teaching reflection and administering reflective writing assignments to students are widely practiced and discussed in medical education and health professional education. However, little is known about how medical students use language to construct their narratives. Exploring students' linguistic patterns in their reflective writings can facilitate understanding the scope and facets of their reflections and their representational or communication approaches to share their experiences. Moreover, research findings regarding gender differences in language use are inconsistent. Therefore, we attempted to examine how females and males differ in their use of words in reflective writing within our research circumstance to detect the unique and gender-specific approaches to learning and their applications. Methods We analyzed the linguistic profiles of psychological process categories in the reflective writings of medical students and examined the difference in word usage between male and female medical students. During the first year of a clinical rotation, 60 fifth-year medical students wrote reflective narratives regarding pediatric patients and the psychosocial challenges faced by the patients and their family members. The narratives were analyzed using the Chinese version of Linguistic Inquiry and Word Count (CLIWC), a text analysis software program. Multivariate procedures were applied for statistical analysis. Results Cognitive words were most pervasive, averaging 22.16%, whereas perceptual words (2.86%) were least pervasive. Female students used more words related to positive emotions and sadness than did male students. The male students exceeded the female students only in the space category. The major limitation of this study is that CLIWC cannot directly acquire contextual text meanings; therefore, depending on the research topic, further qualitative study of the given texts might be necessary. Conclusions To enhance students' empathy toward the psychosocial issues faced by patients and their family members, students should be encouraged to explore the domain of psychological processes by identifying and expressing their affective and perceptual experiences. Researchers in future studies should use outcome measures such as self-awareness or empathy to determine the overall effectiveness of reflective writing and how changes in linguistic patterns affect such outcomes.

A Qualitative study of language barriers between South African health care providers and cross-border migrants.

PubMed

Hunter-Adams, Jo; Rother, Hanna-Andrea

2017-01-31

Communication with health care providers represents an essential part of access to health care for the over 230 million cross-border migrants around the world. In this article, we explore the complexity of health communication from the perspective of cross-border migrants seeking antenatal care in Cape Town, South Africa in order to highlight the importance of high quality medical interpretation. As part of a broader study of migrant maternal and infant nutrition, we conducted a secondary data analysis of semi-structured in-depth interviews (N = 23) with Congolese (n = 7), Somali (n = 8) and Zimbabwean (n = 8) women living in Cape Town, as well as nine focus group discussions (including men: n = 3 and women: n = 6) were conducted with migrant Somalis, Congolese, and Zimbabweans (N = 48). We first used content analysis to gather all data related to language and communication. We then analysed this data thematically. Zimbabwean participants described how the inability to speak the local South African language (IsiXhosa) gave rise to labelling and stereotyping by healthcare staff. Congolese and Somali participants described medical procedures, including tubal ligation, which were performed without consent. Partners often tried to play the role of interpreter, which resulted in loss of income and non-professional medical interpretation. Participants' highlighted fears over unwanted procedures or being unable to access care. Challenges of communication without a common language (and without professional medical interpretation), rather than outright denial of care by healthcare professionals, mediated these encounters. Although there are several factors impeding cross-border migrants' access to health care, effective communication is a prerequisite for quality care. Free-to-patient professional medical interpretation would not only benefit migrant populations but would benefit the broader community where language and health literacy are barriers to accessing health care. Novel approaches to language access may include technology-enabled professional interpretation.

The Evaluation of Hospital Performance in Iran: A Systematic Review Article

PubMed Central

BAHADORI, Mohammadkarim; IZADI, Ahmad Reza; GHARDASHI, Fatemeh; RAVANGARD, Ramin; HOSSEINI, Seyed Mojtaba

2016-01-01

Background: This research aimed to systematically study and outline the methods of hospital performance evaluation used in Iran. Methods: In this systematic review, all Persian and English-language articles published in the Iranian and non-Iranian scientific journals indexed from Sep 2004 to Sep 2014 were studied. For finding the related articles, the researchers searched the Iranian electronic databases, including SID, IranMedex, IranDoc, Magiran, as well as the non-Iranian electronic databases, including Medline, Embase, Scopus, and Google Scholar. For reviewing the selected articles, a data extraction form, developed by the researchers was used. Results: The entire review process led to the selection of 51 articles. The publication of articles on the hospital performance evaluation in Iran has increased considerably in the recent years. Besides, among these 51 articles, 38 articles (74.51%) had been published in Persian language and 13 articles (25.49%) in English language. Eight models were recognized as evaluation model for Iranian hospitals. Totally, in 15 studies, the data envelopment analysis model had been used to evaluate the hospital performance. Conclusion: Using a combination of model to integrate indicators in the hospital evaluation process is inevitable. Therefore, the Ministry of Health and Medical Education should use a set of indicators such as the balanced scorecard in the process of hospital evaluation and accreditation and encourage the hospital managers to use them. PMID:27516991

The Evaluation of Hospital Performance in Iran: A Systematic Review Article.

PubMed

Bahadori, Mohammadkarim; Izadi, Ahmad Reza; Ghardashi, Fatemeh; Ravangard, Ramin; Hosseini, Seyed Mojtaba

2016-07-01

This research aimed to systematically study and outline the methods of hospital performance evaluation used in Iran. In this systematic review, all Persian and English-language articles published in the Iranian and non-Iranian scientific journals indexed from Sep 2004 to Sep 2014 were studied. For finding the related articles, the researchers searched the Iranian electronic databases, including SID, IranMedex, IranDoc, Magiran, as well as the non-Iranian electronic databases, including Medline, Embase, Scopus, and Google Scholar. For reviewing the selected articles, a data extraction form, developed by the researchers was used. The entire review process led to the selection of 51 articles. The publication of articles on the hospital performance evaluation in Iran has increased considerably in the recent years. Besides, among these 51 articles, 38 articles (74.51%) had been published in Persian language and 13 articles (25.49%) in English language. Eight models were recognized as evaluation model for Iranian hospitals. Totally, in 15 studies, the data envelopment analysis model had been used to evaluate the hospital performance. Using a combination of model to integrate indicators in the hospital evaluation process is inevitable. Therefore, the Ministry of Health and Medical Education should use a set of indicators such as the balanced scorecard in the process of hospital evaluation and accreditation and encourage the hospital managers to use them.

On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.

PubMed

Oronoz, Maite; Gojenola, Koldo; Pérez, Alicia; de Ilarraza, Arantza Díaz; Casillas, Arantza

2015-08-01

The advances achieved in Natural Language Processing make it possible to automatically mine information from electronically created documents. Many Natural Language Processing methods that extract information from texts make use of annotated corpora, but these are scarce in the clinical domain due to legal and ethical issues. In this paper we present the creation of the IxaMed-GS gold standard composed of real electronic health records written in Spanish and manually annotated by experts in pharmacology and pharmacovigilance. The experts mainly annotated entities related to diseases and drugs, but also relationships between entities indicating adverse drug reaction events. To help the experts in the annotation task, we adapted a general corpus linguistic analyzer to the medical domain. The quality of the annotation process in the IxaMed-GS corpus has been assessed by measuring the inter-annotator agreement, which was 90.53% for entities and 82.86% for events. In addition, the corpus has been used for the automatic extraction of adverse drug reaction events using machine learning. Copyright © 2015 Elsevier Inc. All rights reserved.

Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.

PubMed

Sevenster, M; Buurman, J; Liu, P; Peters, J F; Chang, P J

2015-01-01

Accumulating quantitative outcome parameters may contribute to constructing a healthcare organization in which outcomes of clinical procedures are reproducible and predictable. In imaging studies, measurements are the principal category of quantitative para meters. The purpose of this work is to develop and evaluate two natural language processing engines that extract finding and organ measurements from narrative radiology reports and to categorize extracted measurements by their "temporality". The measurement extraction engine is developed as a set of regular expressions. The engine was evaluated against a manually created ground truth. Automated categorization of measurement temporality is defined as a machine learning problem. A ground truth was manually developed based on a corpus of radiology reports. A maximum entropy model was created using features that characterize the measurement itself and its narrative context. The model was evaluated in a ten-fold cross validation protocol. The measurement extraction engine has precision 0.994 and recall 0.991. Accuracy of the measurement classification engine is 0.960. The work contributes to machine understanding of radiology reports and may find application in software applications that process medical data.

A de-identifier for medical discharge summaries.

PubMed

Uzuner, Ozlem; Sibanda, Tawanda C; Luo, Yuan; Szolovits, Peter

2008-01-01

Clinical records contain significant medical information that can be useful to researchers in various disciplines. However, these records also contain personal health information (PHI) whose presence limits the use of the records outside of hospitals. The goal of de-identification is to remove all PHI from clinical records. This is a challenging task because many records contain foreign and misspelled PHI; they also contain PHI that are ambiguous with non-PHI. These complications are compounded by the linguistic characteristics of clinical records. For example, medical discharge summaries, which are studied in this paper, are characterized by fragmented, incomplete utterances and domain-specific language; they cannot be fully processed by tools designed for lay language. In this paper, we show that we can de-identify medical discharge summaries using a de-identifier, Stat De-id, based on support vector machines and local context (F-measure=97% on PHI). Our representation of local context aids de-identification even when PHI include out-of-vocabulary words and even when PHI are ambiguous with non-PHI within the same corpus. Comparison of Stat De-id with a rule-based approach shows that local context contributes more to de-identification than dictionaries combined with hand-tailored heuristics (F-measure=85%). Comparison with two well-known named entity recognition (NER) systems, SNoW (F-measure=94%) and IdentiFinder (F-measure=36%), on five representative corpora show that when the language of documents is fragmented, a system with a relatively thorough representation of local context can be a more effective de-identifier than systems that combine (relatively simpler) local context with global context. Comparison with a Conditional Random Field De-identifier (CRFD), which utilizes global context in addition to the local context of Stat De-id, confirms this finding (F-measure=88%) and establishes that strengthening the representation of local context may be more beneficial for de-identification than complementing local with global context.

A De-identifier for Medical Discharge Summaries1

PubMed Central

Uzuner, Özlem; Sibanda, Tawanda C.; Luo, Yuan; Szolovits, Peter

2008-01-01

Objective Clinical records contain significant medical information that can be useful to researchers in various disciplines. However, these records also contain personal health information (PHI) whose presence limits the use of the records outside of hospitals. The goal of de-identification is to remove all PHI from clinical records. This is a challenging task because many records contain foreign and misspelled PHI; they also contain PHI that are ambiguous with non-PHI. These complications are compounded by the linguistic characteristics of clinical records. For example, medical discharge summaries, which are studied in this paper, are characterized by fragmented, incomplete utterances and domain-specific language; they cannot be fully processed by tools designed for lay language. Methods and Results In this paper, we show that we can de-identify medical discharge summaries using a de-identifier, Stat De-id, based on support vector machines and local context (F-measure = 97% on PHI). Our representation of local context aids de-identification even when PHI include out-of-vocabulary words and even when PHI are ambiguous with non-PHI within the same corpus. Comparison of Stat De-id with a rule-based approach shows that local context contributes more to de-identification than dictionaries combined with hand-tailored heuristics (F-measure = 85%). Comparison with two well-known named entity recognition (NER) systems, SNoW (F-measure = 94%) and IdentiFinder (F-measure = 36%), on five representative corpora show that when the language of documents is fragmented, a system with a relatively thorough representation of local context can be a more effective de-identifier than systems that combine (relatively simpler) local context with global context. Comparison with a Conditional Random Field De-identifier (CRFD), which utilizes global context in addition to the local context of Stat De-id, confirms this finding (F-measure = 88%) and establishes that strengthening the representation of local context may be more beneficial for de-identification than complementing local with global context. PMID:18053696

National Survey of Medical Spanish Curriculum in U.S. Medical Schools.

PubMed

Morales, Raymond; Rodriguez, Lauren; Singh, Angad; Stratta, Erin; Mendoza, Lydia; Valerio, Melissa A; Vela, Monica

2015-10-01

Patients with limited English proficiency (LEP) may be at risk for medical errors and worse health outcomes. Language concordance between patient and provider has been shown to improve health outcomes for Spanish-speaking patients. Nearly 40 % of Hispanics, a growing population in the United States, are categorized as having limited English proficiency. Many medical schools have incorporated a medical Spanish curriculum to prepare students for clinical encounters with LEP patients. To describe the current state of medical Spanish curricula at United States medical schools. The Latino Medical Student Association distributed an e-mail survey comprising 39 items to deans from each U.S. medical school from July 2012 through July 2014. This study was IRB-exempt. Eighty-three percent (110/132) of the U.S. medical schools completed the survey. Sixty-six percent (73/110) of these schools reported offering a medical Spanish curriculum. In addition, of schools with no curriculum, 32 % (12/37) planned to incorporate the curriculum within the next two years. Most existing curricula were elective, not eligible for course credit, and taught by faculty or students. Teaching modalities included didactic instruction, role play, and immersion activities. Schools with the curriculum reported that the diverse patient populations in their respective service areas and/or student interest drove course development. Barriers to implementing the curriculum included lack of time in students' schedules, overly heterogeneous student language skill levels, and a lack of financial resources. Few schools reported the use of validated instruments to measure language proficiency after completion of the curriculum. Growing LEP patient populations and medical student interest have driven the implementation of medical Spanish curricula at U.S. medical schools, and more schools have plans to incorporate this curriculum in the near future. Studies are needed to reveal best practices for developing and evaluating the curriculum.

[Analysis of literature citations in original articles published in Spanish and international nursing journals and journals in 2 closely related disciplines].

PubMed

Muñoz-Soler, Verónica; Flores-López, María José; Cabañero-Martínez, María José; Richart-Martínez, Miguel

2007-01-01

To compare Spanish nursing journals with 2 English-language standard journals, as well as Spanish journals in closely related disciplines, to identify possible quantitative and qualitative shortcomings in scientific documentation. We performed a descriptive, cross-sectional study of the references contained in 796 articles from 6 Spanish journals from 3 health disciplines (2000-2002) and 2 English-language nursing journals (2000-2001). The number of references, type of publication cited, and language of the document cited were compared in individual journals, and in journals grouped by discipline and according to language. Spanish-language nursing journals had the lowest mean number of references per article (X- = 16.20) when compared with psychology journals (X- = 31.24), medical journals (X- = 31.39) and international nursing journals (X- = 37.11). Among Spanish journals, citation of English-language publications was most frequent in medical journals (X- = 26.28) and least frequent in nursing journals (X- = 6.04). In contrast, citation of Spanish documents was most frequent in nursing journals (X- = 9.79) and least frequent in medical journals (X- = 4.43). Although scientific publication of Spanish nursing has improved, it is not comparable to publication of closely related disciplines and international nursing. The low citation of English documents clearly reveals the risk of scientific insularity.

Using features of Arden Syntax with object-oriented medical data models for guideline modeling.

PubMed

Peleg, M; Ogunyemi, O; Tu, S; Boxwala, A A; Zeng, Q; Greenes, R A; Shortliffe, E H

2001-01-01

Computer-interpretable guidelines (CIGs) can deliver patient-specific decision support at the point of care. CIGs base their recommendations on eligibility and decision criteria that relate medical concepts to patient data. CIG models use expression languages for specifying these criteria, and define models for medical data to which the expressions can refer. In developing version 3 of the GuideLine Interchange Format (GLIF3), we used existing standards as the medical data model and expression language. We investigated the object-oriented HL7 Reference Information Model (RIM) as a default data model. We developed an expression language, called GEL, based on Arden Syntax's logic grammar. Together with other GLIF constructs, GEL reconciles incompatibilities between the data models of Arden Syntax and the HL7 RIM. These incompatibilities include Arden's lack of support for complex data types and time intervals, and the mismatch between Arden's single primary time and multiple time attributes of the HL7 RIM.

Comparative analysis of perceptual evaluation, acoustic analysis and indirect laryngoscopy for vocal assessment of a population with vocal complaint.

PubMed

Nemr, Kátia; Amar, Ali; Abrahão, Marcio; Leite, Grazielle Capatto de Almeida; Köhle, Juliana; Santos, Alexandra de O; Correa, Luiz Artur Costa

2005-01-01

As a result of technology evolution and development, methods of voice evaluation have changed both in medical and speech and language pathology practice. To relate the results of perceptual evaluation, acoustic analysis and medical evaluation in the diagnosis of vocal and/or laryngeal affections of the population with vocal complaint. Clinical prospective. 29 people that attended vocal health protection campaign were evaluated. They were submitted to perceptual evaluation (AFPA), acoustic analysis (AA), indirect laryngoscopy (LI) and telelaryngoscopy (TL). Correlations between medical and speech language pathology evaluation methods were established, verifying possible statistical signification with the application of Fischer Exact Test. There were statistically significant results in the correlation between AFPA and LI, AFPA and TL, LI and TL. This research study conducted in a vocal health protection campaign presented correlations between speech language pathology evaluation and perceptual evaluation and clinical evaluation, as well as between vocal affection and/or laryngeal medical exams.

Ear Infections and Language Development.

ERIC Educational Resources Information Center

Roberts, Joanne E.; Zeisel, Susan A.

Ear infections in infants and preschoolers can cause mild or moderate temporary hearing loss, which may in turn affect a child's ability to understand and learn language. Noting that providing children with proper medical treatment for ear infections or middle ear fluid is important in preventing possible problems with language development, this…

Language Impairment in Alzheimer's Disease and Vascular Dementia.

ERIC Educational Resources Information Center

Lempinen, Maire; And Others

A study of 21 patients with Alzheimer's Disease and 25 with vascular dementia, the two most common forms of dementia, investigated language impairments in the dementia syndrome to see if analysis of language disturbances is helpful in differential diagnosis. Diagnostic assessment included a neurological examination, detailed medical history,…

The Language of Chemistry.

ERIC Educational Resources Information Center

Bretz, Stacey Lowery; Meinwald, Jerrold

2002-01-01

Describes a new curriculum called The Language of Chemistry designed to illustrate how problems of biological and/or medical importance can be understood on a molecular basis and to show that the logic, knowledge, and language needed are easily accessible. Among the case studies in the curriculum are the giant peacock moth, bacterial chemotaxis,…

Mental Health Risk Factors Associated with Childhood Language Brokering

ERIC Educational Resources Information Center

Rainey, Vanessa R.; Flores, Valerie; Morrison, Robert G.; David, E. J. R.; Silton, Rebecca L.

2014-01-01

Serving as a language translator (broker) for family members during childhood can affect cognitive and emotional functions in both beneficial and detrimental ways. Child language brokers translate in a variety of contexts including conversations between their parents and financial, legal and medical professionals. Pressure to be involved in these…

Secretarial Administration: Medical Terminology: Building Block of the Medical Secretary Program.

ERIC Educational Resources Information Center

Sormunen, Carolee

1980-01-01

With the growing number of employment opportunities available in the medical field, business educators need to reevaluate existing medical secretary programs. Areas that need special attention are medical terminology (anatomy, laboratory language, etc.), report formats, and the importance of confidentiality of patient information. (CT)

Breaking the language barrier: machine assisted diagnosis using the medical speech translator.

PubMed

Starlander, Marianne; Bouillon, Pierrette; Rayner, Manny; Chatzichrisafis, Nikos; Hockey, Beth Ann; Isahara, Hitoshi; Kanzaki, Kyoko; Nakao, Yukie; Santaholma, Marianne

2005-01-01

In this paper, we describe and evaluate an Open Source medical speech translation system (MedSLT) intended for safety-critical applications. The aim of this system is to eliminate the language barriers in emergency situation. It translates spoken questions from English into French, Japanese and Finnish in three medical subdomains (headache, chest pain and abdominal pain), using a vocabulary of about 250-400 words per sub-domain. The architecture is a compromise between fixed-phrase translation on one hand and complex linguistically-based systems on the other. Recognition is guided by a Context Free Grammar Language Model compiled from a general unification grammar, automatically specialised for the domain. We present an evaluation of this initial prototype that shows the advantages of this grammar-based approach for this particular translation task in term of both reliability and use.

Drug Safety - Multiple Languages

MedlinePlus

... Expand Section Guide to Over the Counter Medications - English PDF Guide to Over the Counter Medications - Amarɨñña / ... Information Translations Guide to Over the Counter Medications - English PDF Guide to Over the Counter Medications - العربية ( ...

The REEME project: a cooperative model for sharing international medical education materials.

PubMed

Iserson, Kenneth V

2008-07-01

Although the Internet has become an excellent source of medical education materials, in many specialties, including Emergency Medicine (EM), most of the information is in English. Few international EM practitioners can attend costly specialty conferences, importing foreign experts to teach at these conferences is costly and, even then, these experts are available for a limited time to relatively few people. Countries with minimal health care or medical education budgets find providing even basic materials for professional medical education difficult. An exciting international project now freely distributes Spanish language educational programs to health care professionals on topics relating to EM. The Recursos Educacionales en Español para Medicina de Emergencia (REEME; Educational Resources in Spanish for EM) Project (www.reeme.arizona.edu) was developed to overcome some of these problems by providing language-specific specialty information and widespread international availability, and by promoting international cooperation among professional health care educators. It also provides a ready source of Spanish medical vocabulary for those trying to learn the language. With computer support from the University of Arizona's Learning and Technology Center, REEME first went "live" on November 1, 2004. Three years later, as of November 1, 2007, the site had 575 programs from 411 donors representing 19 countries and the United Nations. There are currently about 645 downloads per month to users in 73 countries. The REEME Project demonstrates the power of the Internet as a means to achieve international cooperation in medical education, and can serve as a model for similar projects in other specialties and languages.

Understanding Language: An Information-Processing Analysis of Speech Perception, Reading, and Psycholinguistics.

ERIC Educational Resources Information Center

Massaro, Dominic W., Ed.

In an information-processing approach to language processing, language processing is viewed as a sequence of psychological stages that occur between the initial presentation of the language stimulus and the meaning in the mind of the language processor. This book defines each of the processes and structures involved, explains how each of them…

Spoken Language Processing Model: Bridging Auditory and Language Processing to Guide Assessment and Intervention

ERIC Educational Resources Information Center

Medwetsky, Larry

2011-01-01

Purpose: This article outlines the author's conceptualization of the key mechanisms that are engaged in the processing of spoken language, referred to as the spoken language processing model. The act of processing what is heard is very complex and involves the successful intertwining of auditory, cognitive, and language mechanisms. Spoken language…

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.

PubMed

Chen, Jinying; Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong

2017-10-31

Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation-that is, creating lay definitions for these terms. Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS's performance substantially. ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS's performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. ©Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.10.2017.

caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research.

PubMed

Crowley, Rebecca S; Castine, Melissa; Mitchell, Kevin; Chavan, Girish; McSherry, Tara; Feldman, Michael

2010-01-01

The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics support of translational research: (1) federation of research data sources derived from clinical systems; (2) expressive graphical interfaces for concept-based text mining; and (3) regulatory and security model for supporting multi-center collaborative research. Implementation of the system at several Cancer Centers across the country is creating a potential network of caTIES repositories that could provide millions of de-identified clinical reports to users. The system provides an end-to-end application of medical natural language processing to support multi-institutional translational research programs.

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

The development of MML (Medical Markup Language) version 3.0 as a medical document exchange format for HL7 messages.

PubMed

Guo, Jinqiu; Takada, Akira; Tanaka, Koji; Sato, Junzo; Suzuki, Muneou; Suzuki, Toshiaki; Nakashima, Yusei; Araki, Kenji; Yoshihara, Hiroyuki

2004-12-01

Medical Markup Language (MML), as a set of standards, has been developed over the last 8 years to allow the exchange of medical data between different medical information providers. MML Version 2.21 used XML as a metalanguage and was announced in 1999. In 2001, MML was updated to Version 2.3, which contained 12 modules. The latest version--Version 3.0--is based on the HL7 Clinical Document Architecture (CDA). During the development of this new version, the structure of MML Version 2.3 was analyzed, subdivided into several categories, and redefined so the information defined in MML could be described in HL7 CDA Level One. As a result of this development, it has become possible to exchange MML Version 3.0 medical documents via HL7 messages.

Electronic Health Record for Intensive Care based on Usual Windows Based Software.

PubMed

Reper, Arnaud; Reper, Pascal

2015-08-01

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed an EHR based on usual software and components. The software was designed as a client-server architecture running on the Windows operating system and powered by the access data base system. The client software was developed using Visual Basic interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes. Since his deployment in September 2004, the EHR was used to care more than five thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of basic functionalities communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface. The developed system based on usual software components was able to respond to the medical needs of the local ICU environment. The use of Windows for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

Open source electronic health record and patient data management system for intensive care.

PubMed

Massaut, Jacques; Reper, Pascal

2008-01-01

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed a PDMS and EHR based on open source software and components. The software was designed as a client-server architecture running on the Linux operating system and powered by the PostgreSQL data base system. The client software was developed in C using GTK interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes. Since his deployment in February 2004, the PDMS was used to care more than three thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of the Mirth HL7 communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface. The developed system based on open source software components was able to respond to the medical needs of the local ICU environment. The use of OSS for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

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

Parental attitudes regarding analgesic use for children: differences in ethnicity and language.

PubMed

Fortier, Michelle A; Martin, Sarah R; Kain, Danielle I; Tan, Edwin T

2011-11-01

The aim of this study was to identify the impact of ethnicity and language on parental attitudes regarding analgesic use to treat children's pain. A total of 206 parents of children undergoing outpatient surgery were recruited to complete the Medication Attitudes Questionnaire, a measure of parental beliefs about using analgesic medications to treat children's pain. Parents were grouped into one of 3 categories according to ethnicity and primary language spoken: English-speaking white, English-speaking Hispanic, and Spanish-speaking Hispanic. Group differences in pain medication attitudes were examined. After controlling for socioeconomic status, English-speaking Hispanic parents endorsed higher levels of misconceptions about pain medication use, including a tendency to avoid analgesic use for children, compared with English-speaking white and Spanish-speaking Hispanic parents. This study highlights parental characteristics, including ethnicity and language, which may place children at higher risk for undertreatment of acute pain based on misconceptions about analgesic use for children. Specifically, English-speaking Hispanic parents may be most likely to undertreat children's pain at home. Future studies are needed to identify the most appropriate means of providing education to counter parental misconceptions and support optimal pain management of children's pain in the home setting. Copyright © 2011 Elsevier Inc. All rights reserved.

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

PubMed Central

Deleger, Louise; Li, Qi; Kaiser, Megan; Stoutenborough, Laura

2013-01-01

Background A high-quality gold standard is vital for supervised, machine learning-based, clinical natural language processing (NLP) systems. In clinical NLP projects, expert annotators traditionally create the gold standard. However, traditional annotation is expensive and time-consuming. To reduce the cost of annotation, general NLP projects have turned to crowdsourcing based on Web 2.0 technology, which involves submitting smaller subtasks to a coordinated marketplace of workers on the Internet. Many studies have been conducted in the area of crowdsourcing, but only a few have focused on tasks in the general NLP field and only a handful in the biomedical domain, usually based upon very small pilot sample sizes. In addition, the quality of the crowdsourced biomedical NLP corpora were never exceptional when compared to traditionally-developed gold standards. The previously reported results on medical named entity annotation task showed a 0.68 F-measure based agreement between crowdsourced and traditionally-developed corpora. Objective Building upon previous work from the general crowdsourcing research, this study investigated the usability of crowdsourcing in the clinical NLP domain with special emphasis on achieving high agreement between crowdsourced and traditionally-developed corpora. Methods To build the gold standard for evaluating the crowdsourcing workers’ performance, 1042 clinical trial announcements (CTAs) from the ClinicalTrials.gov website were randomly selected and double annotated for medication names, medication types, and linked attributes. For the experiments, we used CrowdFlower, an Amazon Mechanical Turk-based crowdsourcing platform. We calculated sensitivity, precision, and F-measure to evaluate the quality of the crowd’s work and tested the statistical significance (P<.001, chi-square test) to detect differences between the crowdsourced and traditionally-developed annotations. Results The agreement between the crowd’s annotations and the traditionally-generated corpora was high for: (1) annotations (0.87, F-measure for medication names; 0.73, medication types), (2) correction of previous annotations (0.90, medication names; 0.76, medication types), and excellent for (3) linking medications with their attributes (0.96). Simple voting provided the best judgment aggregation approach. There was no statistically significant difference between the crowd and traditionally-generated corpora. Our results showed a 27.9% improvement over previously reported results on medication named entity annotation task. Conclusions This study offers three contributions. First, we proved that crowdsourcing is a feasible, inexpensive, fast, and practical approach to collect high-quality annotations for clinical text (when protected health information was excluded). We believe that well-designed user interfaces and rigorous quality control strategy for entity annotation and linking were critical to the success of this work. Second, as a further contribution to the Internet-based crowdsourcing field, we will publicly release the JavaScript and CrowdFlower Markup Language infrastructure code that is necessary to utilize CrowdFlower’s quality control and crowdsourcing interfaces for named entity annotations. Finally, to spur future research, we will release the CTA annotations that were generated by traditional and crowdsourced approaches. PMID:23548263

An automatic indexing method for medical documents.

PubMed Central

Wagner, M. M.

1991-01-01

This paper describes MetaIndex, an automatic indexing program that creates symbolic representations of documents for the purpose of document retrieval. MetaIndex uses a simple transition network parser to recognize a language that is derived from the set of main concepts in the Unified Medical Language System Metathesaurus (Meta-1). MetaIndex uses a hierarchy of medical concepts, also derived from Meta-1, to represent the content of documents. The goal of this approach is to improve document retrieval performance by better representation of documents. An evaluation method is described, and the performance of MetaIndex on the task of indexing the Slice of Life medical image collection is reported. PMID:1807564

The Bilingual Language Interaction Network for Comprehension of Speech*

PubMed Central

Marian, Viorica

2013-01-01

During speech comprehension, bilinguals co-activate both of their languages, resulting in cross-linguistic interaction at various levels of processing. This interaction has important consequences for both the structure of the language system and the mechanisms by which the system processes spoken language. Using computational modeling, we can examine how cross-linguistic interaction affects language processing in a controlled, simulated environment. Here we present a connectionist model of bilingual language processing, the Bilingual Language Interaction Network for Comprehension of Speech (BLINCS), wherein interconnected levels of processing are created using dynamic, self-organizing maps. BLINCS can account for a variety of psycholinguistic phenomena, including cross-linguistic interaction at and across multiple levels of processing, cognate facilitation effects, and audio-visual integration during speech comprehension. The model also provides a way to separate two languages without requiring a global language-identification system. We conclude that BLINCS serves as a promising new model of bilingual spoken language comprehension. PMID:24363602

System Architecture for Temporal Information Extraction, Representation and Reasoning in Clinical Narrative Reports

PubMed Central

Zhou, Li; Friedman, Carol; Parsons, Simon; Hripcsak, George

2005-01-01

Exploring temporal information in narrative Electronic Medical Records (EMRs) is essential and challenging. We propose an architecture for an integrated approach to process temporal information in clinical narrative reports. The goal is to initiate and build a foundation that supports applications which assist healthcare practice and research by including the ability to determine the time of clinical events (e.g., past vs. present). Key components include: (1) a temporal constraint structure for temporal expressions and the development of an associated tagger; (2) a Natural Language Processing (NLP) system for encoding and extracting medical events and associating them with formalized temporal data; (3) a post-processor, with a knowledge-based subsystem to help discover implicit information, that resolves temporal expressions and deals with issues such as granularity and vagueness; and (4) a reasoning mechanism which models clinical reports as Simple Temporal Problems (STPs). PMID:16779164

An Evaluation of the UMLS in Representing Corpus Derived Clinical Concepts

PubMed Central

Friedlin, Jeff; Overhage, Marc

2011-01-01

We performed an evaluation of the Unified Medical Language System (UMLS) in representing concepts derived from medical narrative documents from three domains: chest x-ray reports, discharge summaries and admission notes. We detected concepts in these documents by identifying noun phrases (NPs) and N-grams, including unigrams (single words), bigrams (word pairs) and trigrams (word triples). After removing NPs and N-grams that did not represent discrete clinical concepts, we processed the remaining with the UMLS MetaMap program. We manually reviewed the results of MetaMap processing to determine whether MetaMap found full, partial or no representation of the concept. For full representations, we determined whether post-coordination was required. Our results showed that a large portion of concepts found in clinical narrative documents are either unrepresented or poorly represented in the current version of the UMLS Metathesaurus and that post-coordination was often required in order to fully represent a concept. PMID:22195097

Podcasting: a new tool for student retention?

PubMed

Greenfield, Sue

2011-02-01

Emerging mobile technologies offer nursing faculty a broader armamentarium with which to support traditionally at-risk students. Podcasting, a type of mobile learning, uses technology that allows students to access and listen to recorded classroom audio files from a computer, MP3 player, or iPod. Podcasting also offers particular promise for non-native English speakers. This article describes how podcasting was used to offer academic support to students in a medical-surgical nursing course and to report the postimplementation test grade improvement among English as a second language nursing students. This article also discusses tips for implementing podcasting within the educational arena. Developing innovative ways to improve student retention is an ongoing process. Podcasting is one tool that should be considered for English as a second language nursing students. Copyright 2011, SLACK Incorporated.

iSignIT - Communication App and Concept for the Deaf and Hard of Hearing.

PubMed

Albrecht, Urs-Vito; Jungnicke, Tobias; von Jan, Ute

2015-01-01

In medical settings, those who are deaf or hard of hearing and have to rely on sign language are often at a disadvantage when they want to communicate with doctors or other caretakers. Professional translators are not always available. To alleviate the problems, a mobile phrasebook for communication between affected patients and their caretakers was designed and implemented in form of the iSignIT-app. All of the phrases it contains are also available as videos recorded from native speakers of sign language. Based on the positive feedback received so far, we are now in the process of taking further steps to ensure continuing development and obtaining sustainable financing of the project; here, we will outline some of the steps to be taken.

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

Using RxNorm and NDF-RT to classify medication data extracted from electronic health records: experiences from the Rochester Epidemiology Project.

PubMed

Pathak, Jyotishman; Murphy, Sean P; Willaert, Brian N; Kremers, Hilal M; Yawn, Barbara P; Rocca, Walter A; Chute, Christopher G

2011-01-01

RxNorm and NDF-RT published by the National Library of Medicine (NLM) and Veterans Affairs (VA), respectively, are two publicly available federal medication terminologies. In this study, we evaluate the applicability of RxNorm and National Drug File-Reference Terminology (NDF-RT) for extraction and classification of medication data retrieved using structured querying and natural language processing techniques from electronic health records at two different medical centers within the Rochester Epidemiology Project (REP). Specifically, we explore how mappings between RxNorm concept codes and NDF-RT drug classes can be leveraged for hierarchical organization and grouping of REP medication data, identify gaps and coverage issues, and analyze the recently released NLM's NDF-RT Web service API. Our study concludes that RxNorm and NDF-RT can be applied together for classification of medication extracted from multiple EHR systems, although several issues and challenges remain to be addressed. We further conclude that the Web service APIs developed by the NLM provide useful functionalities for such activities.

Linguistic analysis of large-scale medical incident reports for patient safety.

PubMed

Fujita, Katsuhide; Akiyama, Masanori; Park, Keunsik; Yamaguchi, Etsuko Nakagami; Furukawa, Hiroyuki

2012-01-01

The analysis of medical incident reports is indispensable for patient safety. The cycles between analysis of incident reports and proposals to medical staffs are a key point for improving the patient safety in the hospital. Most incident reports are composed from freely written descriptions, but an analysis of such free descriptions is not sufficient in the medical field. In this study, we aim to accumulate and reinterpret findings using structured incident information, to clarify improvements that should be made to solve the root cause of the accident, and to ensure safe medical treatment through such improvements. We employ natural language processing (NLP) and network analysis to identify effective categories of medical incident reports. Network analysis can find various relationships that are not only direct but also indirect. In addition, we compare bottom-up results obtained by NLP with existing categories based on experts' judgment. By the bottom-up analysis, the class of patient managements regarding patients' fallings and medicines in top-down analysis is created clearly. Finally, we present new perspectives on ways of improving patient safety.

Hospital library foreign language labs: the experiences of two hospital libraries.

PubMed

Whelan, Julia S; Schneider, Elizabeth; Woodworth, Karl; Markwell, Linda Garr

2006-01-01

Increasingly, hospital-based physicians, residents, and medical students are welcoming into their care foreign-born patients, who do not speak English. Most hospitals today have an Interpretive Services Department, but many of the physicians, residents, and medical students want to become more proficient in the most frequently spoken foreign languages in their respective locales. To help recruit and retain a diverse workforce, some hospitals sponsor English programs for staff. The Treadwell Library at Massachusetts General Hospital in Boston, Massachusetts, and the Grady Branch Library at Grady Memorial Hospital in Atlanta, Georgia, have developed a special collection and hospital library-based language laboratories in order to meet this need.

Monitoring Different Phonological Parameters of Sign Language Engages the Same Cortical Language Network but Distinctive Perceptual Ones.

PubMed

Cardin, Velia; Orfanidou, Eleni; Kästner, Lena; Rönnberg, Jerker; Woll, Bencie; Capek, Cheryl M; Rudner, Mary

2016-01-01

The study of signed languages allows the dissociation of sensorimotor and cognitive neural components of the language signal. Here we investigated the neurocognitive processes underlying the monitoring of two phonological parameters of sign languages: handshape and location. Our goal was to determine if brain regions processing sensorimotor characteristics of different phonological parameters of sign languages were also involved in phonological processing, with their activity being modulated by the linguistic content of manual actions. We conducted an fMRI experiment using manual actions varying in phonological structure and semantics: (1) signs of a familiar sign language (British Sign Language), (2) signs of an unfamiliar sign language (Swedish Sign Language), and (3) invented nonsigns that violate the phonological rules of British Sign Language and Swedish Sign Language or consist of nonoccurring combinations of phonological parameters. Three groups of participants were tested: deaf native signers, deaf nonsigners, and hearing nonsigners. Results show that the linguistic processing of different phonological parameters of sign language is independent of the sensorimotor characteristics of the language signal. Handshape and location were processed by different perceptual and task-related brain networks but recruited the same language areas. The semantic content of the stimuli did not influence this process, but phonological structure did, with nonsigns being associated with longer RTs and stronger activations in an action observation network in all participants and in the supramarginal gyrus exclusively in deaf signers. These results suggest higher processing demands for stimuli that contravene the phonological rules of a signed language, independently of previous knowledge of signed languages. We suggest that the phonological characteristics of a language may arise as a consequence of more efficient neural processing for its perception and production.

Moyamoya disease: impact on the performance of oral and written language.

PubMed

Lamônica, Dionísia Aparecida Cusin; Ribeiro, Camila da Costa; Ferraz, Plínio Marcos Duarte Pinto; Tabaquim, Maria de Lourdes Merighi

Moyamoya disease is an unusual form of occlusive, cerebrovascular disorder that affects the arteries of the central nervous system, causing acquired language alterations and learning difficulties. The study aim was to describe the oral/written language and cognitive skills in a seven-year-and-seven-month-old girl diagnosed with Moyamoya disease. The assessment consisted of interviews with her parents and application of the following instruments: Observation of Communicative Behavior, Peabody Picture Vocabulary Test, Academic Performance Test, Profile of Phonological Awareness, Raven's Progressive Matrices Test, Special Scale, Wechsler Intelligence Scale for Children, Bender Visual Motor Gestalt Test, and Wisconsin Card Sorting Test. Two episodes of stroke in the left and right temporal-parietal and left frontal areas occurred until the age of six years and five months. Revascularization surgery and medication treatment were conducted. The audiologic and ophthalmologic assessments indicated normality. At the time of the study, the girl was attending the second grade of elementary school. She presented changes in oral and written language (syllabic-alphabetic), non-naming of all graphemes, low arithmetic and writing means, reading skill below first grade level and psycholinguistic delay, and pre-school level phonological processing skills. The psychological evaluation indicated satisfactory intellectual level; however, it also showed cognitive performance impairment in verbal and execution tasks and limitations on graphic-perceptual-motor skills and sequential logic organization. The stroke episodes influenced the performance of learning processes, affecting the analysis, integration, and interpretation of relevant visual and auditory information.

Language, culture and emotions: exploring ethnic minority patients' emotional expressions in primary healthcare consultations.

PubMed

De Maesschalck, Stéphanie; Deveugele, Myriam; Willems, Sara

2011-09-01

This study explores ethnic minority patients' expression of emotional cues and concerns in primary healthcare, and examines relationships with patient, provider and consultation attributes. 191 video-recorded consultations were analyzed using the VR-CoDES. Patients were interviewed before the consultation. Generalized Estimating Equations models (GEE) were used to test for associations. Psychosocial versus bio-medically oriented encounters contained significantly more cues (p≤0.05). Patients with poor versus good language proficiency expressed significantly less cues (p≤0.001). No significant correlations were found with patients' cultural values, patients' or physicians' gender or the presence of an interpreter. Female patients express more concerns (p≤0.05), female physicians have a higher number of concerns expressed by patients (p≤0.02). This study shows that independent of physician and diagnosis, patients' language proficiency has a more important impact on the number of cues expressed by the patient than cultural difference. Medical schools and Continuing Medical Education should focus on training programs for recognizing and handling linguistic barriers between physicians and patients. Patient education programs should encourage patients who experience language barriers to open up to physicians. In situations where language is a barrier, physicians and patients should be encouraged to use interpreters to enhance the expression of emotions. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

The three official language versions of the Declaration of Helsinki: what's lost in translation?

PubMed Central

Carlson, Robert V; van Ginneken, Nadja H; Pettigrew, Luisa M; Davies, Alan; Boyd, Kenneth M; Webb, David J

2007-01-01

Background The Declaration of Helsinki, the World Medical Association's (WMA's) statement of ethical guidelines regarding medical research, is published in the three official languages of the WMA: English, French and Spanish. Methods A detailed comparison of the three official language versions was carried out to determine ways in which they differed and ways in which the wording of the three versions might illuminate the interpretation of the document. Results There were many minor linguistic differences between the three versions. However, in paragraphs 1, 6, 29, 30 and in the note of clarification to paragraph 29, there were differences that could be considered potentially significant in their ethical relevance. Interpretation Given the global status of the Declaration of Helsinki and the fact that it is translated from its official versions into many other languages for application to the ethical conduct of research, the differences identified are of concern. It would be best if such differences could be eliminated but, at the very least, a commentary to explain any differences that are unavoidable on the basis of language or culture should accompany the Declaration of Helsinki. This evidence further strengthens the case for international surveillance of medical research ethics as has been proposed by the WMA. PMID:17761826

Enhancing international medical graduates' communication: the contribution of applied linguistics.

PubMed

Dahm, Maria R; Yates, Lynda; Ogden, Kathryn; Rooney, Kim; Sheldon, Brooke

2015-08-01

International medical graduates (IMGs) make up one-third of the Australian medical workforce. Those from non-English-language backgrounds can face cultural and communication barriers, yet linguistic support is variable and medical educators are often required to provide feedback on both medical and communication issues. However, some communication difficulties may be very specific to the experiences of IMGs as second language users. This interdisciplinary study combines perspectives from applied linguistics experts and clinical educators to address IMGs' difficulties from multiple dimensions and to enhance feedback quality. Five video-recorded patient encounters with five IMGs were collected at Launceston General Hospital. Three clinical educators gave quantitative and qualitative feedback using the Rating Instrument for Clinical Consulting Skills, and two applied linguistics experts analysed the data for language, pragmatic and communication difficulties. The comparison of the educators' language-related feedback with linguistic analyses of the same interactions facilitated the exploration of differences in the difficulties identified by the two expert groups. Although the clinical educators were able to use their tacit intuitive understanding of communication issues to identify IMG difficulties, they less frequently addressed the underlying issues or suggested specific remedies in their feedback. This pilot study illustrates the effectiveness of interdisciplinary collaboration in highlighting the specific discourse features contributing to IMG communication difficulties and thus assists educators in deconstructing their intuitive knowledge. The authors suggest that linguistic insights can therefore improve communications training by assisting educators to provide more targeted feedback. © 2015 John Wiley & Sons Ltd.

Non-native English language speakers benefit most from the use of lecture capture in medical school.

PubMed

Shaw, Graham P; Molnar, David

2011-01-01

Medical education in the United States and Canada continues to evolve. However, many of the changes in pedagogy are being made without appropriate evaluation. Here, we attempt to evaluate the effectiveness of lecture capture technology as a learning tool in Podiatric medical education. In this pilot project, student performance in an inaugural lecture capture-supported biochemistry course was compared to that in the previous academic year. To examine the impact of online lecture podcasts on student performance a within-subjects design was implemented, a two way ANCOVA with repeated measures. The use of lecture capture-supported pedagogy resulted in significantly higher student test scores, than achieved historically using traditional pedagogy. The overall course performance using this lecture capture-supported pedagogy was almost 6% higher than in the previous year. Non-native English language speakers benefitted more significantly from the lecture capture-supported pedagogy than native English language speakers, since their performance improved by 10.0 points. Given that underrepresented minority (URM) students, whose native language is not English, makes up a growing proportion of medical school matriculates, these observations support the use of lecture capture technology in other courses. Furthermore, this technology may also be used as part of an academic enrichment plan to improve performance on the American Podiatric Medical Licensing Examination, reduce the attrition of URM students and potentially address the predicted minority physician shortage in 2020. Copyright © 2011 Wiley Periodicals, Inc.

Standard Setting in Specific-Purpose Language Testing: What Can a Qualitative Study Add?

ERIC Educational Resources Information Center

Manias, Elizabeth; McNamara, Tim

2016-01-01

This paper explores the views of nursing and medical domain experts in considering the standards for a specific-purpose English language screening test, the Occupational English Test (OET), for professional registration for immigrant health professionals. Since individuals who score performances in the test setting are often language experts…

21 CFR 201.16 - Drugs; Spanish-language version of certain required statements.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 4 2010-04-01 2010-04-01 false Drugs; Spanish-language version of certain...; Spanish-language version of certain required statements. An increasing number of medications restricted to prescription use only are being labeled solely in Spanish for distribution in the Commonwealth of Puerto Rico...

Health Care Disparities and Language Use at Home among Latino, Asian American, and American Indian Adolescents: Findings from the California Health Interview Survey

ERIC Educational Resources Information Center

Hahm, Hyeouk Chris; Lahiff, Maureen; Barreto, Rose M.; Shin, Sunny; Chen, Wan-Yi

2008-01-01

Using the 2001 California Health Interview Survey, this study compared health status, medical insurance, and having a usual source of care for 2,230 ethnic minority adolescents based on language use at home: Group 1, English only; Group 2, both English and another language; and Group 3, exclusively another language. Adjusting for demographic…

[Citation rates of medical German-language journals in English-language papers - do they correlate with the Impact Factor, and who cites?].

PubMed

Winkmann, G; Schlutius, S; Schweim, H G

2002-01-25

Several publications are warning that the German language is no longer needed for transmission of scientific data. One of the causes may be the Impact Factor (IF), which appears to be derived predominantly from Anglo-American journals. The aim of this study was to check actual international attention paid to German-language journals, i. e. their citation frequencies in English-language papers. Are these citing rates in English-language articles correlated to the IF, and from where do citing articles originate? Of 25 arbitrarily selected >85 % German-language medical journals, IF as well as language distributions of citing articles were determined by searching publication years 1995 - 2000 in Science Citation Index (SCI). MEDLINE and EMBASE were used as supplementary retrieval systems. (i) The sample journals displayed an average IF = 0.357. A 99 % correlation (Pearson factor r = 0.987; n = 25) was observed between our > constructed< IF 2000 and IF published in Journal Citation Report 2000. This proves Stegmann's IF determination method to be valid. On the average, 53 % German-language and 45 % English-language articles between 1995 - 2000 cited the 1995 - 1999' contributions of the studied journals. No correlation was observed between IF vs. rates of citing articles in English (r <0.1). 64 % of citing English-language articles showed corporate sources in Germany/ Austria/ Switzerland, and 13.5 % authors' institutions in USA. (i) An IF >/=1 is, obviously, very hard to attain by German-language journals. ISI's differentiation between Citing vs. Cited-only Journals (the latter often serving as MEDLINE/ EMBASE sources) during derivation of IF appears unjustified. (ii) English now serves as the predominant communication language in sciences in German-speaking countries, but has not supplanted the German language. Our study reveals remarkable international attention rates remaining.

POPPER, a simple programming language for probabilistic semantic inference in medicine.

PubMed

Robson, Barry

2015-01-01

Our previous reports described the use of the Hyperbolic Dirac Net (HDN) as a method for probabilistic inference from medical data, and a proposed probabilistic medical Semantic Web (SW) language Q-UEL to provide that data. Rather like a traditional Bayes Net, that HDN provided estimates of joint and conditional probabilities, and was static, with no need for evolution due to "reasoning". Use of the SW will require, however, (a) at least the semantic triple with more elaborate relations than conditional ones, as seen in use of most verbs and prepositions, and (b) rules for logical, grammatical, and definitional manipulation that can generate changes in the inference net. Here is described the simple POPPER language for medical inference. It can be automatically written by Q-UEL, or by hand. Based on studies with our medical students, it is believed that a tool like this may help in medical education and that a physician unfamiliar with SW science can understand it. It is here used to explore the considerable challenges of assigning probabilities, and not least what the meaning and utility of inference net evolution would be for a physician. Copyright © 2014 Elsevier Ltd. All rights reserved.

An analysis of the readability of patient information and consent forms used in research studies in anaesthesia in Australia and New Zealand.

PubMed

Taylor, H E; Bramley, D E P

2012-11-01

The provision of written information is a component of the informed consent process for research participants. We conducted a readability analysis to test the hypothesis that the language used in patient information and consent forms in anaesthesia research in Australia and New Zealand does not meet the readability standards or expectations of the Good Clinical Practice Guidelines, the National Health and Medical Research Council in Australia and the Health Research Council of New Zealand. We calculated readability scores for 40 patient information and consent forms using the Simple Measure of Gobbledygook and Flesch-Kincaid formulas. The mean grade level of patient information and consent forms when using the Simple Measure of Gobbledygook and Flesch-Kincaid readability formulas was 12.9 (standard deviation of 0.8, 95% confidence interval 12.6 to 13.1) and 11.9 (standard deviation 1.1, 95% confidence interval 11.6 to 12.3), respectively. This exceeds the average literacy and comprehension of the general population in Australia and New Zealand. Complex language decreases readability and negatively impacts on the informed consent process. Care should be exercised when providing written information to research participants to ensure language and readability is appropriate for the audience.

A Neuro-Oncology Workstation for Structuring, Modeling, and Visualizing Patient Records

PubMed Central

Hsu, William; Arnold, Corey W.; Taira, Ricky K.

2016-01-01

The patient medical record contains a wealth of information consisting of prior observations, interpretations, and interventions that need to be interpreted and applied towards decisions regarding current patient care. Given the time constraints and the large—often extraneous—amount of data available, clinicians are tasked with the challenge of performing a comprehensive review of how a disease progresses in individual patients. To facilitate this process, we demonstrate a neuro-oncology workstation that assists in structuring and visualizing medical data to promote an evidence-based approach for understanding a patient’s record. The workstation consists of three components: 1) a structuring tool that incorporates natural language processing to assist with the extraction of problems, findings, and attributes for structuring observations, events, and inferences stated within medical reports; 2) a data modeling tool that provides a comprehensive and consistent representation of concepts for the disease-specific domain; and 3) a visual workbench for visualizing, navigating, and querying the structured data to enable retrieval of relevant portions of the patient record. We discuss this workstation in the context of reviewing cases of glioblastoma multiforme patients. PMID:27583308

A Neuro-Oncology Workstation for Structuring, Modeling, and Visualizing Patient Records.

PubMed

Hsu, William; Arnold, Corey W; Taira, Ricky K

2010-11-01

The patient medical record contains a wealth of information consisting of prior observations, interpretations, and interventions that need to be interpreted and applied towards decisions regarding current patient care. Given the time constraints and the large-often extraneous-amount of data available, clinicians are tasked with the challenge of performing a comprehensive review of how a disease progresses in individual patients. To facilitate this process, we demonstrate a neuro-oncology workstation that assists in structuring and visualizing medical data to promote an evidence-based approach for understanding a patient's record. The workstation consists of three components: 1) a structuring tool that incorporates natural language processing to assist with the extraction of problems, findings, and attributes for structuring observations, events, and inferences stated within medical reports; 2) a data modeling tool that provides a comprehensive and consistent representation of concepts for the disease-specific domain; and 3) a visual workbench for visualizing, navigating, and querying the structured data to enable retrieval of relevant portions of the patient record. We discuss this workstation in the context of reviewing cases of glioblastoma multiforme patients.

MIA - A free and open source software for gray scale medical image analysis

PubMed Central

2013-01-01

Background Gray scale images make the bulk of data in bio-medical image analysis, and hence, the main focus of many image processing tasks lies in the processing of these monochrome images. With ever improving acquisition devices, spatial and temporal image resolution increases, and data sets become very large. Various image processing frameworks exists that make the development of new algorithms easy by using high level programming languages or visual programming. These frameworks are also accessable to researchers that have no background or little in software development because they take care of otherwise complex tasks. Specifically, the management of working memory is taken care of automatically, usually at the price of requiring more it. As a result, processing large data sets with these tools becomes increasingly difficult on work station class computers. One alternative to using these high level processing tools is the development of new algorithms in a languages like C++, that gives the developer full control over how memory is handled, but the resulting workflow for the prototyping of new algorithms is rather time intensive, and also not appropriate for a researcher with little or no knowledge in software development. Another alternative is in using command line tools that run image processing tasks, use the hard disk to store intermediate results, and provide automation by using shell scripts. Although not as convenient as, e.g. visual programming, this approach is still accessable to researchers without a background in computer science. However, only few tools exist that provide this kind of processing interface, they are usually quite task specific, and don’t provide an clear approach when one wants to shape a new command line tool from a prototype shell script. Results The proposed framework, MIA, provides a combination of command line tools, plug-ins, and libraries that make it possible to run image processing tasks interactively in a command shell and to prototype by using the according shell scripting language. Since the hard disk becomes the temporal storage memory management is usually a non-issue in the prototyping phase. By using string-based descriptions for filters, optimizers, and the likes, the transition from shell scripts to full fledged programs implemented in C++ is also made easy. In addition, its design based on atomic plug-ins and single tasks command line tools makes it easy to extend MIA, usually without the requirement to touch or recompile existing code. Conclusion In this article, we describe the general design of MIA, a general purpouse framework for gray scale image processing. We demonstrated the applicability of the software with example applications from three different research scenarios, namely motion compensation in myocardial perfusion imaging, the processing of high resolution image data that arises in virtual anthropology, and retrospective analysis of treatment outcome in orthognathic surgery. With MIA prototyping algorithms by using shell scripts that combine small, single-task command line tools is a viable alternative to the use of high level languages, an approach that is especially useful when large data sets need to be processed. PMID:24119305

MIA - A free and open source software for gray scale medical image analysis.

PubMed

Wollny, Gert; Kellman, Peter; Ledesma-Carbayo, María-Jesus; Skinner, Matthew M; Hublin, Jean-Jaques; Hierl, Thomas

2013-10-11

Gray scale images make the bulk of data in bio-medical image analysis, and hence, the main focus of many image processing tasks lies in the processing of these monochrome images. With ever improving acquisition devices, spatial and temporal image resolution increases, and data sets become very large.Various image processing frameworks exists that make the development of new algorithms easy by using high level programming languages or visual programming. These frameworks are also accessable to researchers that have no background or little in software development because they take care of otherwise complex tasks. Specifically, the management of working memory is taken care of automatically, usually at the price of requiring more it. As a result, processing large data sets with these tools becomes increasingly difficult on work station class computers.One alternative to using these high level processing tools is the development of new algorithms in a languages like C++, that gives the developer full control over how memory is handled, but the resulting workflow for the prototyping of new algorithms is rather time intensive, and also not appropriate for a researcher with little or no knowledge in software development.Another alternative is in using command line tools that run image processing tasks, use the hard disk to store intermediate results, and provide automation by using shell scripts. Although not as convenient as, e.g. visual programming, this approach is still accessable to researchers without a background in computer science. However, only few tools exist that provide this kind of processing interface, they are usually quite task specific, and don't provide an clear approach when one wants to shape a new command line tool from a prototype shell script. The proposed framework, MIA, provides a combination of command line tools, plug-ins, and libraries that make it possible to run image processing tasks interactively in a command shell and to prototype by using the according shell scripting language. Since the hard disk becomes the temporal storage memory management is usually a non-issue in the prototyping phase. By using string-based descriptions for filters, optimizers, and the likes, the transition from shell scripts to full fledged programs implemented in C++ is also made easy. In addition, its design based on atomic plug-ins and single tasks command line tools makes it easy to extend MIA, usually without the requirement to touch or recompile existing code. In this article, we describe the general design of MIA, a general purpouse framework for gray scale image processing. We demonstrated the applicability of the software with example applications from three different research scenarios, namely motion compensation in myocardial perfusion imaging, the processing of high resolution image data that arises in virtual anthropology, and retrospective analysis of treatment outcome in orthognathic surgery. With MIA prototyping algorithms by using shell scripts that combine small, single-task command line tools is a viable alternative to the use of high level languages, an approach that is especially useful when large data sets need to be processed.

Validation of psoriatic arthritis diagnoses in electronic medical records using natural language processing

PubMed Central

Cai, Tianxi; Karlson, Elizabeth W.

2013-01-01

Objectives To test whether data extracted from full text patient visit notes from an electronic medical record (EMR) would improve the classification of PsA compared to an algorithm based on codified data. Methods From the > 1,350,000 adults in a large academic EMR, all 2318 patients with a billing code for PsA were extracted and 550 were randomly selected for chart review and algorithm training. Using codified data and phrases extracted from narrative data using natural language processing, 31 predictors were extracted and three random forest algorithms trained using coded, narrative, and combined predictors. The receiver operator curve (ROC) was used to identify the optimal algorithm and a cut point was chosen to achieve the maximum sensitivity possible at a 90% positive predictive value (PPV). The algorithm was then used to classify the remaining 1768 charts and finally validated in a random sample of 300 cases predicted to have PsA. Results The PPV of a single PsA code was 57% (95%CI 55%–58%). Using a combination of coded data and NLP the random forest algorithm reached a PPV of 90% (95%CI 86%–93%) at sensitivity of 87% (95% CI 83% – 91%) in the training data. The PPV was 93% (95%CI 89%–96%) in the validation set. Adding NLP predictors to codified data increased the area under the ROC (p < 0.001). Conclusions Using NLP with text notes from electronic medical records improved the performance of the prediction algorithm significantly. Random forests were a useful tool to accurately classify psoriatic arthritis cases to enable epidemiological research. PMID:20701955

Improving the provision of language services at an academic medical center: ensuring high-quality health communication for limited-English-proficient patients.

PubMed

Standiford, Connie J; Nolan, Elizabeth; Harris, Michelle; Bernstein, Steven J

2009-12-01

To evaluate and improve the provision of language services at an academic medicine center caring for a diverse population including many limited-English-proficient (LEP) patients. The authors performed a prospective observational study between November 2006 and December 2008 evaluating the provision of language services at the University of Michigan Health System. The primary performance measures were (1) screening patients for their preferred language for health care, (2) assessing the proportion of LEP patients receiving language services from a qualified language services provider, and (3) assessing whether there were any disparities in diabetes care for LEP patients compared with English-speaking patients. The proportion of patients screened for preferred language increased from 59% to 96% with targeted inventions, such as training staff to capture preferred language for health care and correcting prior inaccurate primary language data entry. The proportion of LEP outpatients with a qualified language services provider increased from 19% to 83% through the use of staff and contract interpreters, over-the-phone interpreting and bilingual providers. There were no systematic differences in diabetes quality performance measures between LEP and English-proficient patients. Academic medical centers should measure their provision of language services and compare quality and safety data (e.g., performance measures and adverse events) between LEP and English-speaking patients to identify disparities in care. Leadership support and ongoing training are needed to ensure language-specific services are embedded into clinical care to meet the needs of our diverse patient populations.

Executing medical logic modules expressed in ArdenML using Drools.

PubMed

Jung, Chai Young; Sward, Katherine A; Haug, Peter J

2012-01-01

The Arden Syntax is an HL7 standard language for representing medical knowledge as logic statements. Despite nearly 2 decades of availability, Arden Syntax has not been widely used. This has been attributed to the lack of a generally available compiler to implement the logic, to Arden's complex syntax, to the challenges of mapping local data to data references in the Medical Logic Modules (MLMs), or, more globally, to the general absence of decision support in healthcare computing. An XML representation (ArdenML) may partially address the technical challenges. MLMs created in ArdenML can be converted into executable files using standard transforms written in the Extensible Stylesheet Language Transformation (XSLT) language. As an example, we have demonstrated an approach to executing MLMs written in ArdenML using the Drools business rule management system. Extensions to ArdenML make it possible to generate a user interface through which an MLM developer can test for logical errors.

Native-language N400 and P600 predict dissociable language-learning abilities in adults

PubMed Central

Qi, Zhenghan; Beach, Sara D.; Finn, Amy S.; Minas, Jennifer; Goetz, Calvin; Chan, Brian; Gabrieli, John D.E.

2018-01-01

Language learning aptitude during adulthood varies markedly across individuals. An individual’s native-language ability has been associated with success in learning a new language as an adult. However, little is known about how native-language processing affects learning success and what neural markers of native-language processing, if any, are related to success in learning. We therefore related variation in electrophysiology during native-language processing to success in learning a novel artificial language. Event-related potentials (ERPs) were recorded while native English speakers judged the acceptability of English sentences prior to learning an artificial language. There was a trend towards a double dissociation between native-language ERPs and their relationships to novel syntax and vocabulary learning. Individuals who exhibited a greater N400 effect when processing English semantics showed better future learning of the artificial language overall. The N400 effect was related to syntax learning via its specific relationship to vocabulary learning. In contrast, the P600 effect size when processing English syntax predicted future syntax learning but not vocabulary learning. These findings show that distinct neural signatures of native-language processing relate to dissociable abilities for learning novel semantic and syntactic information. PMID:27737775

Hebrew Brain vs. English Brain: Language Modulates the Way It Is Processed

ERIC Educational Resources Information Center

Bick, Atira S.; Goelman, Gadi; Frost, Ram

2011-01-01

Is language processing universal? How do the specific properties of each language influence the way it is processed? In this study, we compare the neural correlates of morphological processing in Hebrew--a Semitic language with a rich and systematic morphology, to those revealed in English--an Indo-European language with a linear morphology. Using…

Implementing a distributed intranet-based information system.

PubMed

O'Kane, K C; McColligan, E E; Davis, G A

1996-11-01

The article discusses Internet and intranet technologies and describes how to install an intranet-based information system using the Merle language facility and other readily available components. Merle is a script language designed to support decentralized medical record information retrieval applications on the World Wide Web. The goal of this work is to provide a script language tool to facilitate construction of efficient, fully functional, multipoint medical record information systems that can be accessed anywhere by low-cost Web browsers to search, retrieve, and analyze patient information. The language allows legacy MUMPS applications to function in a Web environment and to make use of the Web graphical, sound, and video presentation services. It also permits downloading of script applets for execution on client browsers, and it can be used in standalone mode with the Unix, Windows 95, Windows NT, and OS/2 operating systems.

Language and vertical space: on the automaticity of language action interconnections.

PubMed

Dudschig, Carolin; de la Vega, Irmgard; De Filippis, Monica; Kaup, Barbara

2014-09-01

Grounded models of language processing propose a strong connection between language and sensorimotor processes (Barsalou, 1999, 2008; Glenberg & Kaschak, 2002). However, it remains unclear how functional and automatic these connections are for understanding diverse sets of words (Ansorge, Kiefer, Khalid, Grassl, & König, 2010). Here, we investigate whether words referring to entities with a typical location in the upper or lower visual field (e.g., sun, ground) automatically influence subsequent motor responses even when language-processing levels are kept minimal. The results show that even subliminally presented words influence subsequent actions, as can be seen in a reversed compatibility effect. These finding have several implications for grounded language processing models. Specifically, these results suggest that language-action interconnections are not only the result of strategic language processes, but already play an important role during pre-attentional language processing stages. Copyright © 2014 Elsevier Ltd. All rights reserved.

Medical Students Learning Communication Skills in a Second Language: Empathy and expectations.

PubMed

Hashim, Muhammad J; Major, Stella; Mirza, Deen M; Prinsloo, Engela A M; Osman, Ossama; Amiri, Leena; McLean, Michelle

2013-02-01

Communications skills (CS) training for medical interviewing is increasingly being conducted in English at medical schools worldwide. In this study, we sought to identify whether Arabic-speaking medical students experienced difficulty with the different components of the CS training that were conducted in English. Individual third-year preclinical medical students (N = 45) were videotaped while interviewing simulated patients. Each student assessed his/her performance on a 13-item (5-point scale) assessment form, which was also completed by the tutor and other students in the group. Of the 13 components of their CS training, tutors awarded the lowest marks for students' abilities to express empathy, ask about patients' feelings, use transition statements, ask about functional impact, and elicit patients' expectations (P <0.001). The expression of empathy and the ability to elicit patients' feelings and expectations are difficult to develop in medical students learning CS in a second language.

[Scientific-Pedagogic School of Biological and Medical Chemistry of the O. O. Bogomolets National Medical University (on the 160th year of its founding)].

PubMed

Hubs'kyĭ, Iu I; Khmelevs'kyĭ, Iu V; Velykyĭ, M M

2002-01-01

In this work the most important stages of the scientific-pedagogic school of biologic and medical chemistry formation in Bogomolets National Medical University starting from the period of foundation as early as in 1863 till nowadays the Chair of Medical Chemistry and Physics as a part of Medical Faculty of Saint Volodymyr Emperor University in the city of Kyiv have been estimated and generalized. The especial attention is attracted to the fact, that it was Kyiv University where firstly the Chair of Biochemistry was created in order of stuyding the regularities of biochemical processes running in the human organism and metabolism disturbances inducing the pathologic processes at some diseases. The scientific and scientific-pedagogical trends of the chair work in different periods of its development are presented, simltneously the leading role of famous Ukrainian scientists--biochemicians in foundation and development of biologic and medical chemistry scientific school in the University are emphasized. Nowadays the Chair is the educational and scientific center supporting and developing the best traditions on training the specialists of different qualification levels: physicians Masters of Science, Philosophy Doctors and Doctors of Science in Medicine and Biology. The Chair is considered to be a basic one among the Ukraine higher medic and pharmaceutic educational institutions having the III-IV accreditation rate on the problems of teaching-organizational, educational-methodical and scientific work. On the Chair base there is functioning the Scientific Problem-Solving Commission of Ministry of health Protections of Academy of Medical Sciences of Ukraine "Biological and medical Chemistry" (the chairman is the Corresponding-Member of Academy of Medical Sciences of Ukraine, Prof. Yu.I. Gubsky. The Chair personnel compiled and issued the contemporary manuals in Ukraine language on Biologic and Bioorganic Chemistry.

Real-Time Language Processing in School-Age Children with Specific Language Impairment

ERIC Educational Resources Information Center

Montgomery, James W.

2006-01-01

Background:School-age children with specific language impairment (SLI) exhibit slower real-time (i.e. immediate) language processing relative to same-age peers and younger, language-matched peers. Results of the few studies that have been done seem to indicate that the slower language processing of children with SLI is due to inefficient…

Ranking Practice Variability in the Medical Student Performance Evaluation: So Bad, It’s “Good”

PubMed Central

Boysen Osborn, Megan; Mattson, James; Yanuck, Justin; Anderson, Craig; Tekian, Ara; Fox, Christian John; Harris, Ilene B.

2018-01-01

Purpose To examine the variability among medical schools in ranking systems used in medical student performance evaluations (MSPEs). Method The authors reviewed MSPEs from U.S. MD-granting medical schools received by the University of California, Irvine emergency medicine and internal medicine residency programs during 2012–2013 and 2014–2015. They recorded whether the school used a ranking system, the type of ranking system used, the size and description of student categories, the location of the ranking statement and category legend, and whether nonranking schools used language suggestive of rank. Results Of the 134 medical schools in the study sample, the majority (n = 101; 75%) provided ranks for students in the MSPE. Most of the ranking schools (n = 63; 62%) placed students into named category groups, but the number and size of groups varied. The most common descriptors used for these 63 schools’ top, second, third, and lowest groups were “outstanding,” “excellent,” “very good,” and “good,” respectively, but each of these terms was used across a broad range of percentile ranks. Student ranks and school category legends were found in various locations. Many of the 33 schools that did not rank students included language suggestive of rank. Conclusions There is extensive variation in ranking systems used in MSPEs. Program directors may find it difficult to use MSPEs to compare applicants, which may diminish the MSPE’s value in the residency application process and negatively affect high-achieving students. A consistent approach to ranking students would benefit program directors, students, and student affairs officers. PMID:27075499

Supporting Patient Provider Communication across Medical Settings

ERIC Educational Resources Information Center

Nordness, Amy S.; Beukelman, David R.

2017-01-01

Medical errors and poor patient care have been impacted by communication failures despite mandates for effective patient-provider communication (The Joint Commission, 2010). There are a high number of communication vulnerable individuals in medical situations due to new medical conditions, preexisting conditions, and language differences, to name…

Feasibility of Spanish-language acquisition for acute medical care providers: novel curriculum for emergency medicine residencies.

PubMed

Grall, Kristi H; Panchal, Ashish R; Chuffe, Eliud; Stoneking, Lisa R

2016-01-01

Language and cultural barriers are detriments to quality health care. In acute medical settings, these barriers are more pronounced, which can lead to poor patient outcomes. We implemented a longitudinal Spanish-language immersion curriculum for emergency medicine (EM) resident physicians. This curriculum includes language and cultural instruction, and is integrated into the weekly EM didactic conference, longitudinal over the entire 3-year residency program. Language proficiency was assessed at baseline and annually on the Interagency Language Roundtable (ILR) scale, via an oral exam conducted by the same trained examiner each time. The objective of the curriculum was improvement of resident language skills to ILR level 1+ by year 3. Significance was evaluated through repeated-measures analysis of variance. The curriculum was launched in July 2010 and followed through June 2012 (n=16). After 1 year, 38% had improved over one ILR level, with 50% achieving ILR 1+ or above. After year 2, 100% had improved over one level, with 90% achieving the objective level of ILR 1+. Mean ILR improved significantly from baseline, year 1, and year 2 (F=55, df =1; P<0.001). Implementation of a longitudinal, integrated Spanish-immersion curriculum is feasible and improves language skills in EM residents. The curriculum improved EM-resident language proficiency above the goal in just 2 years. Further studies will focus on the effect of language acquisition on patient care in acute settings.

Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates.

PubMed

Nayor, Jennifer; Borges, Lawrence F; Goryachev, Sergey; Gainer, Vivian S; Saltzman, John R

2018-07-01

ADR is a widely used colonoscopy quality indicator. Calculation of ADR is labor-intensive and cumbersome using current electronic medical databases. Natural language processing (NLP) is a method used to extract meaning from unstructured or free text data. (1) To develop and validate an accurate automated process for calculation of adenoma detection rate (ADR) and serrated polyp detection rate (SDR) on data stored in widely used electronic health record systems, specifically Epic electronic health record system, Provation ® endoscopy reporting system, and Sunquest PowerPath pathology reporting system. Screening colonoscopies performed between June 2010 and August 2015 were identified using the Provation ® reporting tool. An NLP pipeline was developed to identify adenomas and sessile serrated polyps (SSPs) on pathology reports corresponding to these colonoscopy reports. The pipeline was validated using a manual search. Precision, recall, and effectiveness of the natural language processing pipeline were calculated. ADR and SDR were then calculated. We identified 8032 screening colonoscopies that were linked to 3821 pathology reports (47.6%). The NLP pipeline had an accuracy of 100% for adenomas and 100% for SSPs. Mean total ADR was 29.3% (range 14.7-53.3%); mean male ADR was 35.7% (range 19.7-62.9%); and mean female ADR was 24.9% (range 9.1-51.0%). Mean total SDR was 4.0% (0-9.6%). We developed and validated an NLP pipeline that accurately and automatically calculates ADRs and SDRs using data stored in Epic, Provation ® and Sunquest PowerPath. This NLP pipeline can be used to evaluate colonoscopy quality parameters at both individual and practice levels.

Input and language development in bilingually developing children.

PubMed

Hoff, Erika; Core, Cynthia

2013-11-01

Language skills in young bilingual children are highly varied as a result of the variability in their language experiences, making it difficult for speech-language pathologists to differentiate language disorder from language difference in bilingual children. Understanding the sources of variability in bilingual contexts and the resulting variability in children's skills will help improve language assessment practices by speech-language pathologists. In this article, we review literature on bilingual first language development for children under 5 years of age. We describe the rate of development in single and total language growth, we describe effects of quantity of input and quality of input on growth, and we describe effects of family composition on language input and language growth in bilingual children. We provide recommendations for language assessment of young bilingual children and consider implications for optimizing children's dual language development. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Does the Consecutive Interpreting Approach enhance medical English communication skills of Japanese-speaking students?

PubMed

Iizuka, Hideki; Lefor, Alan K

2018-04-19

To determine if the Consecutive Interpreting Approach enhances medical English communication skills of students in a Japanese medical university and to assess this method based on performance and student evaluations.  This is a three-phase study using a mixed-methods design, which starts with four language reproduction activities for 30 medical and 95 nursing students, followed by a quantitative analysis of perfect-match reproduction rates to assess changes over the duration of the study and qualitative error analysis of participants' language reproduction. The final stage included a scored course evaluation and free-form comments to evaluate this approach and to identify effective educational strategies to enhance medical English communication skills. Mean perfect-match reproduction rates of all participants over four reproduction activities differed statistically significantly (repeated measures ANOVA, p<0.0005). The overall perfect-match reproduction rates improved from 75.3 % to 90.1 % for nursing and 89.5 % to 91.6% for medical students. The final achievement levels of nursing and medical students were equivalent (test of equivalence, p<0.05). Details of lexical- and syntactic-level errors were identified. The course evaluation scores were 3.74 (n=30, SD = 0.59) and 3.77 (n=90, SD=0.54) for medical and nursing students respectively. Participants' medical English communication skills are enhanced using this approach. Participants expressed positive feedback regarding this instruction method. This approach may be effective to enhance the language skills of non-native English-speaking students seeking to practice medicine in English speaking countries.

Does the Consecutive Interpreting Approach enhance medical English communication skills of Japanese-speaking students?

PubMed Central

Lefor, Alan K.

2018-01-01

Objectives To determine if the Consecutive Interpreting Approach enhances medical English communication skills of students in a Japanese medical university and to assess this method based on performance and student evaluations.   Methods  This is a three-phase study using a mixed-methods design, which starts with four language reproduction activities for 30 medical and 95 nursing students, followed by a quantitative analysis of perfect-match reproduction rates to assess changes over the duration of the study and qualitative error analysis of participants' language reproduction. The final stage included a scored course evaluation and free-form comments to evaluate this approach and to identify effective educational strategies to enhance medical English communication skills. Results Mean perfect-match reproduction rates of all participants over four reproduction activities differed statistically significantly (repeated measures ANOVA, p<0.0005). The overall perfect-match reproduction rates improved from 75.3 % to 90.1 % for nursing and 89.5 % to 91.6% for medical students. The final achievement levels of nursing and medical students were equivalent (test of equivalence, p<0.05). Details of lexical- and syntactic-level errors were identified. The course evaluation scores were 3.74 (n=30, SD = 0.59) and 3.77 (n=90, SD=0.54) for medical and nursing students respectively. Conclusions Participants’ medical English communication skills are enhanced using this approach. Participants expressed positive feedback regarding this instruction method. This approach may be effective to enhance the language skills of non-native English-speaking students seeking to practice medicine in English speaking countries. PMID:29677693

Comparison of the recovery patterns of language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke.

PubMed

Vukovic, Mile; Vuksanovic, Jasmina; Vukovic, Irena

2008-01-01

In this study we investigated the recovery patterns of language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke. The correlation of specific language functions and cognitive functions was analyzed in the acute phase and 6 months later. Significant recovery of the tested functions was observed in both groups. However, in patients with post-traumatic language processing deficits the degree of recovery of most language functions and some cognitive functions was higher. A significantly greater correlation was revealed within language and cognitive functions, as well as between language functions and other aspects of cognition in patients with post-traumatic language processing deficits than in patients with aphasia following a stroke. Our results show that patients with post-traumatic language processing deficits have a different recovery pattern and a different pattern of correlation between language and cognitive functions compared to patients with aphasia following a stroke. (1) Better understanding of the differences in recovery of language and cognitive functions in patients who have suffered strokes and those who have experienced traumatic brain injury. (2) Better understanding of the relationship between language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke. (3) Better understanding of the factors influencing recovery.

Improving Domain-specific Machine Translation by Constraining the Language Model

DTIC Science & Technology

2012-07-01

performance. To make up for the lack of parallel training data, one assumption is that more monolingual target language data should be used in building the...target language model. Prior work on domain-specific MT has focused on training target language models with monolingual 2 domain-specific data...showed that the using a large dictionary extracted from medical domain documents in a statistical MT system to generalize the training data significantly

Natural Language Processing.

ERIC Educational Resources Information Center

Chowdhury, Gobinda G.

2003-01-01

Discusses issues related to natural language processing, including theoretical developments; natural language understanding; tools and techniques; natural language text processing systems; abstracting; information extraction; information retrieval; interfaces; software; Internet, Web, and digital library applications; machine translation for…

Modality-specific processing precedes amodal linguistic processing during L2 sign language acquisition: A longitudinal study.

PubMed

Williams, Joshua T; Darcy, Isabelle; Newman, Sharlene D

2016-02-01

The present study tracked activation pattern differences in response to sign language processing by late hearing second language learners of American Sign Language. Learners were scanned before the start of their language courses. They were scanned again after their first semester of instruction and their second, for a total of 10 months of instruction. The study aimed to characterize modality-specific to modality-general processing throughout the acquisition of sign language. Results indicated that before the acquisition of sign language, neural substrates related to modality-specific processing were present. After approximately 45 h of instruction, the learners transitioned into processing signs on a phonological basis (e.g., supramarginal gyrus, putamen). After one more semester of input, learners transitioned once more to a lexico-semantic processing stage (e.g., left inferior frontal gyrus) at which language control mechanisms (e.g., left caudate, cingulate gyrus) were activated. During these transitional steps right hemispheric recruitment was observed, with increasing left-lateralization, which is similar to other native signers and L2 learners of spoken language; however, specialization for sign language processing with activation in the inferior parietal lobule (i.e., angular gyrus), even for late learners, was observed. As such, the present study is the first to track L2 acquisition of sign language learners in order to characterize modality-independent and modality-specific mechanisms for bilingual language processing. Copyright © 2015 Elsevier Ltd. All rights reserved.

From spoken narratives to domain knowledge: mining linguistic data for medical image understanding.

PubMed

Guo, Xuan; Yu, Qi; Alm, Cecilia Ovesdotter; Calvelli, Cara; Pelz, Jeff B; Shi, Pengcheng; Haake, Anne R

2014-10-01

Extracting useful visual clues from medical images allowing accurate diagnoses requires physicians' domain knowledge acquired through years of systematic study and clinical training. This is especially true in the dermatology domain, a medical specialty that requires physicians to have image inspection experience. Automating or at least aiding such efforts requires understanding physicians' reasoning processes and their use of domain knowledge. Mining physicians' references to medical concepts in narratives during image-based diagnosis of a disease is an interesting research topic that can help reveal experts' reasoning processes. It can also be a useful resource to assist with design of information technologies for image use and for image case-based medical education systems. We collected data for analyzing physicians' diagnostic reasoning processes by conducting an experiment that recorded their spoken descriptions during inspection of dermatology images. In this paper we focus on the benefit of physicians' spoken descriptions and provide a general workflow for mining medical domain knowledge based on linguistic data from these narratives. The challenge of a medical image case can influence the accuracy of the diagnosis as well as how physicians pursue the diagnostic process. Accordingly, we define two lexical metrics for physicians' narratives--lexical consensus score and top N relatedness score--and evaluate their usefulness by assessing the diagnostic challenge levels of corresponding medical images. We also report on clustering medical images based on anchor concepts obtained from physicians' medical term usage. These analyses are based on physicians' spoken narratives that have been preprocessed by incorporating the Unified Medical Language System for detecting medical concepts. The image rankings based on lexical consensus score and on top 1 relatedness score are well correlated with those based on challenge levels (Spearman correlation>0.5 and Kendall correlation>0.4). Clustering results are largely improved based on our anchor concept method (accuracy>70% and mutual information>80%). Physicians' spoken narratives are valuable for the purpose of mining the domain knowledge that physicians use in medical image inspections. We also show that the semantic metrics introduced in the paper can be successfully applied to medical image understanding and allow discussion of additional uses of these metrics. Copyright © 2014 Elsevier B.V. All rights reserved.

Triggers and monitoring in intelligent personal health record.

PubMed

Luo, Gang

2012-10-01

Although Web-based personal health records (PHRs) have been widely deployed, the existing ones have limited intelligence. Previously, we introduced expert system technology and Web search technology into the PHR domain and proposed the concept of an intelligent PHR (iPHR). iPHR provides personalized healthcare information to facilitate users' daily activities of living. The current iPHR is passive and follows the pull model of information distribution. This paper introduces triggers and monitoring into iPHR to make iPHR become active. Our idea is to let medical professionals pre-compile triggers and store them in iPHR's knowledge base. Each trigger corresponds to an abnormal event that may have potential medical impact. iPHR keeps collecting, processing, and analyzing the user's medical data from various sources such as wearable sensors. Whenever an abnormal event is detected from the user's medical data, the corresponding trigger fires and the related personalized healthcare information is pushed to the user using natural language generation technology, expert system technology, and Web search technology.

Food addiction and obesity: unnecessary medicalization of hedonic overeating.

PubMed

Finlayson, Graham

2017-08-01

The concept of addiction is loaded with connotations and is often used for its political as much as its medical utility. The scientific case for 'food addiction' as a clinical phenotype currently rests on its association with generic diagnostic criteria for substance-related disorders being applied to everyday foods and eating-related problems. This has fused the concept of obesity with addiction regardless of whether it fits the definition. The hedonic, or reward, system can account for the ingestion of foods and drugs, confirming that they share neural substrates that differentiate liking and wanting. These are normal processes that are recruited for natural homeostatic behaviours and can explain the phenomenon of hedonic overeating as a consequence of human motivation pushed to extremes by an obesogenic environment. Food addiction constitutes a medicalization of common eating behaviours, taking on the properties of a disease. The use of this medical language has implications for the way in which society views overeating and obesity.

Confronting inadvertent stigma and pejorative language in addiction scholarship: a recognition and response.

PubMed

Broyles, Lauren M; Binswanger, Ingrid A; Jenkins, Jennifer A; Finnell, Deborah S; Faseru, Babalola; Cavaiola, Alan; Pugatch, Marianne; Gordon, Adam J

2014-01-01

Appropriate use of language in the field of addiction is important. Inappropriate use of language can negatively impact the way society perceives substance use and the people who are affected by it. Language frames what the public thinks about substance use and recovery, and it can also affect how individuals think about themselves and their own ability to change. But most importantly, language intentionally and unintentionally propagates stigma: the mark of dishonor, disgrace, and difference that depersonalizes people, depriving them of individual or personal qualities and personal identity. Stigma is harmful, distressing, and marginalizing to the individuals, groups, and populations who bear it. For these reasons, the Editorial Team of Substance Abuse seeks to formally operationalize respect for personhood in our mission, our public relations, and our instructions to authors. We ask authors, reviewers, and readers to carefully and intentionally consider the language used to describe alcohol and other drug use and disorders, the individuals affected by these conditions, and their related behaviors, comorbidities, treatment, and recovery in our publication. Specifically, we make an appeal for the use of language that (1) respects the worth and dignity of all persons ("people-first language"); (2) focuses on the medical nature of substance use disorders and treatment; (3) promotes the recovery process; and (4) avoids perpetuating negative stereotypes and biases through the use of slang and idioms. In this paper, we provide a brief overview of each of the above principles, along with examples, as well as some of the nuances and tensions that inherently arise as we give greater attention to the issue of how we talk and write about substance use and addiction.

Language-in-Healthcare Policy, Interaction Patterns, and Unequal Care on the U.S.-Mexico Border

ERIC Educational Resources Information Center

Martinez, Glenn

2008-01-01

This paper examines the implementation of language-in-healthcare policy in a highly bilingual, medically stressed border region of south Texas. In its current form, federal language-in-healthcare policy unevenly impacts different geographic regions. Healthcare markets along the U.S.-Mexico border are particularly taxed by the recent language…

Implicit Schemata and Categories in Memory-Based Language Processing

ERIC Educational Resources Information Center

van den Bosch, Antal; Daelemans, Walter

2013-01-01

Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any…

Work-related injuries among commercial janitors in Washington State, comparisons by gender.

PubMed

Smith, Caroline K; Anderson, Naomi J

2017-09-01

We analyzed workers' compensation (WC) data to identify characteristics related to workers' compensation claim outcomes among janitorial service workers in Washington State. We analyzed WC data from the Washington State Department of Labor & Industries (L&I) State Fund (SF) from January 1, 2003 through December 31, 2013, for janitorial service workers employed in the National Occupational Research Agenda (NORA) Services Sector. We constructed multivariable models to identify factors associated with higher medical costs and increased time lost from work. There were 2,390 janitorial service compensable claims available for analysis. There were significant differences in injury type and other factors by gender, age, and language preference. Linguistic minority status was associated with longer time loss and higher median medical costs. Women were estimated to account for 35% of janitorial service workers but made up 55% of the compensable claims in this study. Janitorial service workers comprise a large vulnerable occupational group in the U.S. workforce. Identifying differences by injury type and potential inequitable outcomes by gender and language is important to ensuring equal treatment in the workers' compensation process. There were significant differences in injury and individual characteristics between men and women in this study. Women had twice the estimated rate of injury to men, and were more likely to require Spanish language materials. Improving communication for training and knowledge about the workers' compensation system appear to be high priorities in this population of injured janitorial service workers. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights reserved.

Transparent ICD and DRG coding using information technology: linking and associating information sources with the eXtensible Markup Language.

PubMed

Hoelzer, Simon; Schweiger, Ralf K; Dudeck, Joachim

2003-01-01

With the introduction of ICD-10 as the standard for diagnostics, it becomes necessary to develop an electronic representation of its complete content, inherent semantics, and coding rules. The authors' design relates to the current efforts by the CEN/TC 251 to establish a European standard for hierarchical classification systems in health care. The authors have developed an electronic representation of ICD-10 with the eXtensible Markup Language (XML) that facilitates integration into current information systems and coding software, taking different languages and versions into account. In this context, XML provides a complete processing framework of related technologies and standard tools that helps develop interoperable applications. XML provides semantic markup. It allows domain-specific definition of tags and hierarchical document structure. The idea of linking and thus combining information from different sources is a valuable feature of XML. In addition, XML topic maps are used to describe relationships between different sources, or "semantically associated" parts of these sources. The issue of achieving a standardized medical vocabulary becomes more and more important with the stepwise implementation of diagnostically related groups, for example. The aim of the authors' work is to provide a transparent and open infrastructure that can be used to support clinical coding and to develop further software applications. The authors are assuming that a comprehensive representation of the content, structure, inherent semantics, and layout of medical classification systems can be achieved through a document-oriented approach.

Transparent ICD and DRG Coding Using Information Technology: Linking and Associating Information Sources with the eXtensible Markup Language

PubMed Central

Hoelzer, Simon; Schweiger, Ralf K.; Dudeck, Joachim

2003-01-01

With the introduction of ICD-10 as the standard for diagnostics, it becomes necessary to develop an electronic representation of its complete content, inherent semantics, and coding rules. The authors' design relates to the current efforts by the CEN/TC 251 to establish a European standard for hierarchical classification systems in health care. The authors have developed an electronic representation of ICD-10 with the eXtensible Markup Language (XML) that facilitates integration into current information systems and coding software, taking different languages and versions into account. In this context, XML provides a complete processing framework of related technologies and standard tools that helps develop interoperable applications. XML provides semantic markup. It allows domain-specific definition of tags and hierarchical document structure. The idea of linking and thus combining information from different sources is a valuable feature of XML. In addition, XML topic maps are used to describe relationships between different sources, or “semantically associated” parts of these sources. The issue of achieving a standardized medical vocabulary becomes more and more important with the stepwise implementation of diagnostically related groups, for example. The aim of the authors' work is to provide a transparent and open infrastructure that can be used to support clinical coding and to develop further software applications. The authors are assuming that a comprehensive representation of the content, structure, inherent semantics, and layout of medical classification systems can be achieved through a document-oriented approach. PMID:12807813

Native-language N400 and P600 predict dissociable language-learning abilities in adults.

PubMed

Qi, Zhenghan; Beach, Sara D; Finn, Amy S; Minas, Jennifer; Goetz, Calvin; Chan, Brian; Gabrieli, John D E

2017-04-01

Language learning aptitude during adulthood varies markedly across individuals. An individual's native-language ability has been associated with success in learning a new language as an adult. However, little is known about how native-language processing affects learning success and what neural markers of native-language processing, if any, are related to success in learning. We therefore related variation in electrophysiology during native-language processing to success in learning a novel artificial language. Event-related potentials (ERPs) were recorded while native English speakers judged the acceptability of English sentences prior to learning an artificial language. There was a trend towards a double dissociation between native-language ERPs and their relationships to novel syntax and vocabulary learning. Individuals who exhibited a greater N400 effect when processing English semantics showed better future learning of the artificial language overall. The N400 effect was related to syntax learning via its specific relationship to vocabulary learning. In contrast, the P600 effect size when processing English syntax predicted future syntax learning but not vocabulary learning. These findings show that distinct neural signatures of native-language processing relate to dissociable abilities for learning novel semantic and syntactic information. Copyright © 2016 Elsevier Ltd. All rights reserved.

Assessing the Impact of and Needs for Navy Language, Regional Expertise, and Culture Training

DTIC Science & Technology

2012-10-01

Assessing the Impact of and Needs for Navy Language, Regional Expertise, and Culture Training Neil B. Carey • Edward J. Schmitz • Zachary T...Francisco, CA, gives medication to a child during a medical & dental community assistance project (MEDCAP/DENCAP). Petty Officer Barker is stationed aboard...concerns about this questionnaire, please refer them to Neil Carey , Ph.D., at 703-824-2356 or careyn@cna.org. 77 78 Appendix D Appendix D

Sources of the Medical Vocabulary.

ERIC Educational Resources Information Center

Butler, Roy F.

1980-01-01

In an attempt to determine as precisely as possible just how much of medical vocabulary is derived from every source, the vocabulary defined in the 24th edition of "Dorland's Illustrated Medical Dictionary" was analyzed. Results indicate that medical vocabulary is relying increasingly upon the Greek and Latin languages as the sources of…

A model for indexing medical documents combining statistical and symbolic knowledge.

PubMed

Avillach, Paul; Joubert, Michel; Fieschi, Marius

2007-10-11

To develop and evaluate an information processing method based on terminologies, in order to index medical documents in any given documentary context. We designed a model using both symbolic general knowledge extracted from the Unified Medical Language System (UMLS) and statistical knowledge extracted from a domain of application. Using statistical knowledge allowed us to contextualize the general knowledge for every particular situation. For each document studied, the extracted terms are ranked to highlight the most significant ones. The model was tested on a set of 17,079 French standardized discharge summaries (SDSs). The most important ICD-10 term of each SDS was ranked 1st or 2nd by the method in nearly 90% of the cases. The use of several terminologies leads to more precise indexing. The improvement achieved in the models implementation performances as a result of using semantic relationships is encouraging.

Identifying UMLS concepts from ECG Impressions using KnowledgeMap

PubMed Central

Denny, Joshua C.; Spickard, Anderson; Miller, Randolph A; Schildcrout, Jonathan; Darbar, Dawood; Rosenbloom, S. Trent; Peterson, Josh F.

2005-01-01

Electrocardiogram (ECG) impressions represent a wealth of medical information for potential decision support and drug-effect discovery. Much of this information is inaccessible to automated methods in the free-text portion of the ECG report. We studied the application of the KnowledgeMap concept identifier (KMCI) to map Unified Medical Language System (UMLS) concepts from ECG impressions. ECGs were processed by KMCI and the results scored for accuracy by multiple raters. Reviewers also recorded unidentified concepts through the scoring interface. Overall, KMCI correctly identified 1059 out of 1171 concepts for a recall of 0.90. Precision, indicating the proportion of ECG concepts correctly identified, was 0.94. KMCI was particularly effective at identifying ECG rhythms (330/333), perfusion changes (65/66), and noncardiac medical concepts (11/11). In conclusion, KMCI is an effective method for mapping ECG impressions to UMLS concepts. PMID:16779029

A Model for Indexing Medical Documents Combining Statistical and Symbolic Knowledge.

PubMed Central

Avillach, Paul; Joubert, Michel; Fieschi, Marius

2007-01-01

OBJECTIVES: To develop and evaluate an information processing method based on terminologies, in order to index medical documents in any given documentary context. METHODS: We designed a model using both symbolic general knowledge extracted from the Unified Medical Language System (UMLS) and statistical knowledge extracted from a domain of application. Using statistical knowledge allowed us to contextualize the general knowledge for every particular situation. For each document studied, the extracted terms are ranked to highlight the most significant ones. The model was tested on a set of 17,079 French standardized discharge summaries (SDSs). RESULTS: The most important ICD-10 term of each SDS was ranked 1st or 2nd by the method in nearly 90% of the cases. CONCLUSIONS: The use of several terminologies leads to more precise indexing. The improvement achieved in the model’s implementation performances as a result of using semantic relationships is encouraging. PMID:18693792

Hierarchical semantic structures for medical NLP.

PubMed

Taira, Ricky K; Arnold, Corey W

2013-01-01

We present a framework for building a medical natural language processing (NLP) system capable of deep understanding of clinical text reports. The framework helps developers understand how various NLP-related efforts and knowledge sources can be integrated. The aspects considered include: 1) computational issues dealing with defining layers of intermediate semantic structures to reduce the dimensionality of the NLP problem; 2) algorithmic issues in which we survey the NLP literature and discuss state-of-the-art procedures used to map between various levels of the hierarchy; and 3) implementation issues to software developers with available resources. The objective of this poster is to educate readers to the various levels of semantic representation (e.g., word level concepts, ontological concepts, logical relations, logical frames, discourse structures, etc.). The poster presents an architecture for which diverse efforts and resources in medical NLP can be integrated in a principled way.

Thin client (web browser)-based collaboration for medical imaging and web-enabled data.

PubMed

Le, Tuong Huu; Malhi, Nadeem

2002-01-01

Utilizing thin client software and open source server technology, a collaborative architecture was implemented allowing for sharing of Digital Imaging and Communications in Medicine (DICOM) and non-DICOM images with real-time markup. Using the Web browser as a thin client integrated with standards-based components, such as DHTML (dynamic hypertext markup language), JavaScript, and Java, collaboration was achieved through a Web server/proxy server combination utilizing Java Servlets and Java Server Pages. A typical collaborative session involved the driver, who directed the navigation of the other collaborators, the passengers, and provided collaborative markups of medical and nonmedical images. The majority of processing was performed on the server side, allowing for the client to remain thin and more accessible.

Unsupervised method for automatic construction of a disease dictionary from a large free text collection.

PubMed

Xu, Rong; Supekar, Kaustubh; Morgan, Alex; Das, Amar; Garber, Alan

2008-11-06

Concept specific lexicons (e.g. diseases, drugs, anatomy) are a critical source of background knowledge for many medical language-processing systems. However, the rapid pace of biomedical research and the lack of constraints on usage ensure that such dictionaries are incomplete. Focusing on disease terminology, we have developed an automated, unsupervised, iterative pattern learning approach for constructing a comprehensive medical dictionary of disease terms from randomized clinical trial (RCT) abstracts, and we compared different ranking methods for automatically extracting con-textual patterns and concept terms. When used to identify disease concepts from 100 randomly chosen, manually annotated clinical abstracts, our disease dictionary shows significant performance improvement (F1 increased by 35-88%) over available, manually created disease terminologies.

Unsupervised Method for Automatic Construction of a Disease Dictionary from a Large Free Text Collection

PubMed Central

Xu, Rong; Supekar, Kaustubh; Morgan, Alex; Das, Amar; Garber, Alan

2008-01-01

Concept specific lexicons (e.g. diseases, drugs, anatomy) are a critical source of background knowledge for many medical language-processing systems. However, the rapid pace of biomedical research and the lack of constraints on usage ensure that such dictionaries are incomplete. Focusing on disease terminology, we have developed an automated, unsupervised, iterative pattern learning approach for constructing a comprehensive medical dictionary of disease terms from randomized clinical trial (RCT) abstracts, and we compared different ranking methods for automatically extracting contextual patterns and concept terms. When used to identify disease concepts from 100 randomly chosen, manually annotated clinical abstracts, our disease dictionary shows significant performance improvement (F1 increased by 35–88%) over available, manually created disease terminologies. PMID:18999169

A Dependable Massive Storage Service for Medical Imaging.

PubMed

Núñez-Gaona, Marco Antonio; Marcelín-Jiménez, Ricardo; Gutiérrez-Martínez, Josefina; Aguirre-Meneses, Heriberto; Gonzalez-Compean, José Luis

2018-05-18

We present the construction of Babel, a distributed storage system that meets stringent requirements on dependability, availability, and scalability. Together with Babel, we developed an application that uses our system to store medical images. Accordingly, we show the feasibility of our proposal to provide an alternative solution for massive scientific storage and describe the software architecture style that manages the DICOM images life cycle, utilizing Babel like a virtual local storage component for a picture archiving and communication system (PACS-Babel Interface). Furthermore, we describe the communication interface in the Unified Modeling Language (UML) and show how it can be extended to manage the hard work associated with data migration processes on PACS in case of updates or disaster recovery.

[Actor as a simulated patient in medical education at the University of Pécs].

PubMed

Koppán, Ágnes; Eklicsné Lepenye, Katalin; Halász, Renáta; Sebők, Judit; Szemán, Eszter; Németh, Zsuzsanna; Rendeki, Szilárd

2017-07-01

Medical training in the 21st century faces simulation-based education as one of the challenges that efficiently contributes to clinical skills development while moderating the burden on the clinicians and patients alike. The University of Pécs, Medical School has launched a simulation program in the MediSkillsLab based on history taking with actors to improve patient interviewing communication skills. This new program was inspired by experiences gathered in previous medical language teaching and integrates the method of the "Standardized Patient Program". The method has been applied in America since the 1960s. This is the first time the program has been introduced in Hungary and implemented in an interdisciplinary design, where medical specialists, linguists, actor-patients and medical students collaborate to improve professional, language and communicative competence of the students. A course like this has its pivotal role in the medical training, and as a result more efficient and patient-oriented communication may take place at the clinical setting. Orv Hetil. 2017; 158(26): 1022-1027.

When language comprehension goes wrong for the right reasons: Good-enough, underspecified, or shallow language processing.

PubMed

Christianson, Kiel

2016-01-01

This paper contains an overview of language processing that can be described as "good enough", "underspecified", or "shallow". The central idea is that a nontrivial proportion of misunderstanding, misinterpretation, and miscommunication can be attributed not to random error, but instead to processing preferences of the human language processing system. In other words, the very architecture of the language processor favours certain types of processing errors because in a majority of instances, this "fast and frugal", less effortful processing is good enough to support communication. By way of historical background, connections are made between this relatively recent facet of psycholinguistic study, other recent language processing models, and related concepts in other areas of cognitive science. Finally, the nine papers included in this special issue are introduced as representative of novel explorations of good-enough, or underspecified, language processing.

[Catalogue of learning goals for pregraduate education in geriatric medicine. A recommendation of the German Geriatric Society (DGG), the German Society of Gerontology and Geriatrics (DGGG), the Austrian Society of Geriatrics and Gerontology (ÖGGG) and the Swiss Society of Geriatric Medicine (SFGG) on the basis of recommendations of the European Union of Medical Specialists Geriatric Medicine Section (UEMS-GMS) 2013].

PubMed

Singler, K; Stuck, A E; Masud, T; Goeldlin, A; Roller, R E

2014-11-01

Sound knowledge in the care and management of geriatric patients is essential for doctors in almost all medical subspecialties. Therefore, it is important that pregraduate medical education adequately covers the field of geriatric medicine. However, in most medical faculties in Europe today, learning objectives in geriatric medicine are often substandard or not even explicitly addressed. As a first step to encourage undergraduate teaching in geriatric medicine, the European Union of Medical Specialists -Geriatric Medicine Section (UEMS-GMS) recently developed a catalogue of learning goals using a modified Delphi technique in order to encourage education in this field. This catalogue of learning objectives for geriatric medicine focuses on the minimum requirements with specific learning goals in knowledge, skills and attitudes that medical students should have acquired by the end of their studies.In order to ease the implementation of this new, competence-based curriculum among the medical faculties in universities teaching in the German language, the authors translated the published English language curriculum into German and adapted it according to medical language and terms used at German-speaking medical faculties and universities of Austria, Germany and Switzerland. This article contains the final German translation of the curriculum. The Geriatric Medicine Societies of Germany, Austria, and Switzerland formally endorse the present curriculum and recommend that medical faculties adapt their curricula for undergraduate teaching based on this catalogue.

Globalization of problem-based learning (PBL): cross-cultural implications.

PubMed

Gwee, Matthew Choon-Eng

2008-03-01

Problem-based learning (PBL) is essentially a learning system design that incorporates several educational strategies to optimize student-centered learning outcomes beyond just knowledge acquisition. PBL was implemented almost four decades ago as an innovative and alternative pathway to learning in medical education in McMaster University Medical School. Since then, PBL has spread widely across the world and has now been adopted globally, including in much of Asia. The globalization of PBL has important cross-cultural implications. Delivery of instruction in PBL involves active peer teaching-learning in an open communication style. Consequently, this may pose an apparent serious conflict with the Asian communication style generally dominated by a cultural reticence. However, evidence available, especially from the PBL experience of some senior Korean medical students doing an elective in the University of Toronto Medical School and the cross-cultural PBL experience initiated by Kaohsiung Medical University, strongly suggests creating a conducive and supportive learning environment for students learning in a PBL setting can overcome the perceived cultural barriers; that is, nurture matters more than culture in the learning environment. Karaoke is very much an Asian initiative. The Karaoke culture and philosophy provide a useful lesson on how to create a conducive and supportive environment to encourage, enhance and motivate group activity. Some key attributes associated with Asian culture are in fact consistent with, and aligned to, some of the basic tenets of PBL, including the congruence between the Asian emphasis on group before individual interest, and the collaborative small group learning design used in PBL. Although there are great expectations of the educational outcomes students can acquire from PBL, the available evidence supports the contention the actual educational outcomes acquired from PBL do not really match the expected educational outcomes commonly intended and specified for a PBL program. Proficiency in the English language can pose serious problems for some Asian medical schools, which choose to use English as the language for discussion in PBL tutorials. A novel approach that can be applied to overcome this problem is to allow students to engage in discussions using both their native language as well as English, a highly successful practice implemented by the University of Airlangga, Surabaya, Indonesia. As PBL is a highly resource-intensive pedagogy, Asian medical educators need to have a clear understanding of the PBL process, philosophy and practice in order to be able to optimize the educational outcomes that can be derived from a PBL curriculum.

Development and evaluation of an intermediate-level elective course on medical Spanish for pharmacy students.

PubMed

Mueller, Robert

The Spanish-speaking population in the United States is increasing rapidly, and there is a need for additional educational efforts, beyond teaching basic medical Spanish terminology, to increase the number of Spanish-speaking pharmacists able to provide culturally appropriate care to this patient population. This article describes the development and evaluation of an intermediate-level elective course where students integrated pharmacy practice skills with Spanish-language skills and cultural competency. Educational Activity and Setting: Medical Spanish for Pharmacists was developed as a two-credit elective course for pharmacy students in their third-professional-year who possessed a certain level of Spanish language competence. The course was designed so that students would combine patient care skills such as obtaining a medication list and providing patient education, and pharmacotherapy knowledge previously learned in the curriculum, along with Spanish-language skills, and apply them to simulated Spanish-speaking patients. Elements to promote cultural competency were integrated throughout the course through a variety of methods, including a service learning activity. Successful attainment of course goals and objectives were demonstrated through quizzes, assignments, examinations, and an objective structured clinical examination (OSCE). Based on these course assessments, students performed well during both offerings of the course. While the class cohort size was small in the two offerings of the course, the Medical Spanish for Pharmacists elective may still serve as an example for other pharmacy programs as an innovative approach in combining Spanish language, specific pharmacy skills, cultural competency, and service learning. Copyright © 2017 Elsevier Inc. All rights reserved.

Bridging the Engineering and Medicine Gap

NASA Technical Reports Server (NTRS)

Walton, M.; Antonsen, E.

2018-01-01

A primary challenge NASA faces is communication between the disparate entities of engineers and human system experts in life sciences. Clear communication is critical for exploration mission success from the perspective of both risk analysis and data handling. The engineering community uses probabilistic risk assessment (PRA) models to inform their own risk analysis and has extensive experience managing mission data, but does not always fully consider human systems integration (HSI). The medical community, as a part of HSI, has been working 1) to develop a suite of tools to express medical risk in quantitative terms that are relatable to the engineering approaches commonly in use, and 2) to manage and integrate HSI data with engineering data. This talk will review the development of the Integrated Medical Model as an early attempt to bridge the communication gap between the medical and engineering communities in the language of PRA. This will also address data communication between the two entities in the context of data management considerations of the Medical Data Architecture. Lessons learned from these processes will help identify important elements to consider in future communication and integration of these two groups.

Automated Assessment of Medical Students’ Clinical Exposures according to AAMC Geriatric Competencies

PubMed Central

Chen, Yukun; Wrenn, Jesse; Xu, Hua; Spickard, Anderson; Habermann, Ralf; Powers, James; Denny, Joshua C.

2014-01-01

Competence is essential for health care professionals. Current methods to assess competency, however, do not efficiently capture medical students’ experience. In this preliminary study, we used machine learning and natural language processing (NLP) to identify geriatric competency exposures from students’ clinical notes. The system applied NLP to generate the concepts and related features from notes. We extracted a refined list of concepts associated with corresponding competencies. This system was evaluated through 10-fold cross validation for six geriatric competency domains: “medication management (MedMgmt)”, “cognitive and behavioral disorders (CBD)”, “falls, balance, gait disorders (Falls)”, “self-care capacity (SCC)”, “palliative care (PC)”, “hospital care for elders (HCE)” – each an American Association of Medical Colleges competency for medical students. The systems could accurately assess MedMgmt, SCC, HCE, and Falls competencies with F-measures of 0.94, 0.86, 0.85, and 0.84, respectively, but did not attain good performance for PC and CBD (0.69 and 0.62 in F-measure, respectively). PMID:25954341

Confusion of recovery: one solution.

PubMed

Collier, Elizabeth

2010-02-01

This paper questions the current mental health discourse that offers new definitions of the concept of 'recovery' and offers a different perspective that aims to clarify its meaning. Confusion is caused when medical language continues to be used in discussions that aim to challenge traditional medical understanding of the term 'recovery' (meaning cure). Medical and non-medical concepts of recovery are referred to interchangeably in many narratives and the common references to and acceptance of the Harding et al. papers and similar that report on how people can 'get better' from schizophrenia perpetuates this confusion. In this paper, it is suggested that 'recovery' should not be viewed as having new meaning, but that two different concepts have been confused, with the same word having been used to describe two completely different things altogether. This means that what is referred to in this paper as 'medical' recovery (traditional definitions of recovery that aims for cure), becomes subordinate to 'life' recovery (personal development and change) in which psychiatric classification might have no part in a person's understanding of their experience and where improving 'symptoms' could be irrelevant in the personal process of growth and discovery.

Multicriteria framework for selecting a process modelling language

NASA Astrophysics Data System (ADS)

Scanavachi Moreira Campos, Ana Carolina; Teixeira de Almeida, Adiel

2016-01-01

The choice of process modelling language can affect business process management (BPM) since each modelling language shows different features of a given process and may limit the ways in which a process can be described and analysed. However, choosing the appropriate modelling language for process modelling has become a difficult task because of the availability of a large number modelling languages and also due to the lack of guidelines on evaluating, and comparing languages so as to assist in selecting the most appropriate one. This paper proposes a framework for selecting a modelling language in accordance with the purposes of modelling. This framework is based on the semiotic quality framework (SEQUAL) for evaluating process modelling languages and a multicriteria decision aid (MCDA) approach in order to select the most appropriate language for BPM. This study does not attempt to set out new forms of assessment and evaluation criteria, but does attempt to demonstrate how two existing approaches can be combined so as to solve the problem of selection of modelling language. The framework is described in this paper and then demonstrated by means of an example. Finally, the advantages and disadvantages of using SEQUAL and MCDA in an integrated manner are discussed.

A comparison of verbal communication and psychiatric medication use by Greek and Italian residents with dementia in Australian ethno-specific and mainstream aged care facilities.

PubMed

Runci, Susannah J; Eppingstall, Barbara J; O'Connor, Daniel W

2012-05-01

Older migrants with dementia and limited English language proficiency in residential care may have unmet needs for social interaction. This project compared verbal communication and prescribed psychiatric medication of Greek and Italian residents with dementia in ethno-specific and mainstream residential care. Participants were 82 older Australians of Greek or Italian background who had been diagnosed with dementia and were residing in mainstream or ethno-specific care. Residents were observed and their language use was recorded. An assessment of cognitive impairment was conducted. A structured interview was held with a family member and a staff member. The observed rate of resident-to-resident communication was higher in the ethno-specific facilities. Staff-to-resident interaction rate did not differ between the facility types. Residents in ethno-specific care were prescribed antipsychotics at a significantly lower rate. Residents with dementia and limited English language proficiency in mainstream care would benefit from greater opportunities to interact with peers in their own language. Prescribed medication should be monitored to ensure that these residents are not misinterpreted as "disruptive," or are not actually more agitated due to difficulty in communicating their needs.

Does acculturation narrow the health literacy gap between immigrants and non-immigrants-An explorative study.

PubMed

Mantwill, Sarah; Schulz, Peter J

2017-04-01

To compare functional health literacy (HL) levels in three immigrant groups to those of the German- and Italian-speaking non-immigrant population in Switzerland. Moreover, to investigate whether language-independent, respectively language-dependent, functional HL and variables of acculturation were associated with self-reported health status among immigrants. Language-independent HL was assessed with the Short Test of Functional Health Literacy (S-TOFHLA) in the respective native languages. Language-dependent HL was measured using Brief Health Literacy Screeners (BHLS) asking about participants' confidence in understanding medical information in the language of the host country. Measures of acculturation included length of stay and age when taking residency in Switzerland. In particular Albanian- and Portuguese-speaking immigrants had lower levels of functional HL. In unadjusted analysis "age when taking residency in Switzerland" was associated with the BHLS. Adjusted analysis showed that the BHLS were significantly associated with self-reported health among all immigrant groups (p≤0.01). Functional HL that is dependent on understanding of medical information in the language of the new host country is a better predictor for self-reported health status among immigrants than language-independent HL. In the clinical setting limited functional HL might be a significant obstacle to successful disease treatment and prevention in immigrants. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

PubMed Central

Masanz, James J; Ogren, Philip V; Zheng, Jiaping; Sohn, Sunghwan; Kipper-Schuler, Karin C; Chute, Christopher G

2010-01-01

We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical record clinical free-text. We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. The cTAKES builds on existing open-source technologies—the Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit. Its components, specifically trained for the clinical domain, create rich linguistic and semantic annotations. Performance of individual components: sentence boundary detector accuracy=0.949; tokenizer accuracy=0.949; part-of-speech tagger accuracy=0.936; shallow parser F-score=0.924; named entity recognizer and system-level evaluation F-score=0.715 for exact and 0.824 for overlapping spans, and accuracy for concept mapping, negation, and status attributes for exact and overlapping spans of 0.957, 0.943, 0.859, and 0.580, 0.939, and 0.839, respectively. Overall performance is discussed against five applications. The cTAKES annotations are the foundation for methods and modules for higher-level semantic processing of clinical free-text. PMID:20819853

Interrelationship between learning English language and students' medical education.

PubMed

Milosavljević, Natasa

2008-01-01

Medical students and researchers need to learn English, not only because it is the means of teaching and learning, but also because its knowledge is necessary in their research activities. The objective of this study was to determine the importance of the study of English language learning for student medical education. The investigation was carried out among students of the Medical Faculty of Nis in 2006. The investigation included 312 students of all years of study and departments and was conducted using a questionnaire. Average rate in writing skill was 4.64 +/- 0.6, in speaking skill 4.62 +/- 0.6, while the students of the College of Nursing showed significantly lower average value. The average value of learning the foreign language was: writing (3.161 +/- .09); speaking (3.27 +/- 1.1); reading (3.84 +/- 1.0) and understanding (3.85 +/- 1.1). The students of the College of Nursing showed significantly lower grades in comparison to the other three Departments. The comparison analysis was done in order to determine the relation of writing and speaking skills in mother tongue and foreign language. As for the English language, the relation of writing and speaking skills was very strong (Pearson C = 0.641, p < 0.01), while in the mother tongue it was slightly lower (Pearson C = 0.44, p < 0.01). The percentage of students satisfied with their economic status was 55% and with social status 79%. The writing and speaking skills in the mother tongue and in English were significantly positively associated with students' satisfaction with their social and economic status, while satisfaction with achievements at the Faculty was associated only with the ability of verbal expression in the mother tongue. The students' satisfaction with their social and economic status was mostly associated with good oral skills in English, which indicates that good knowledge of a foreign language is of great influence on the status of an individual in a society.

Automated processing of electronic medical records is a reliable method of determining aspirin use in populations at risk for cardiovascular events.

PubMed

Pakhomov, Serguei Vs; Shah, Nilay D; Hanson, Penny; Balasubramaniam, Saranya C; Smith, Steven A

2010-01-01

Low-dose aspirin reduces cardiovascular risk; however, monitoring over-the-counter medication use relies on the time-consuming and costly manual review of medical records. Our objective is to validate natural language processing (NLP) of the electronic medical record (EMR) for extracting medication exposure and contraindication information. The text of EMRs for 499 patients with type 2 diabetes was searched using NLP for evidence of aspirin use and its contraindications. The results were compared to a standardised manual records review. Of the 499 patients, 351 (70%) were using aspirin and 148 (30%) were not, according to manual review. NLP correctly identified 346 of the 351 aspirin-positive and 134 of the 148 aspirin-negative patients, indicating a sensitivity of 99% (95% CI 97-100) and specificity of 91% (95% CI 88-97). Of the 148 aspirin-negative patients, 66 (45%) had contraindications and 82 (55%) did not, according to manual review. NLP search for contraindications correctly identified 61 of the 66 patients with contraindications and 58 of the 82 patients without, yielding a sensitivity of 92% (95% CI 84-97) and a specificity of 71% (95% CI 60-80). NLP of the EMR is accurate in ascertaining documented aspirin use and could potentially be used for epidemiological research as a source of cardiovascular risk factor information.

Language Policing: Micro-Level Language Policy-in-Process in the Foreign Language Classroom

ERIC Educational Resources Information Center

Amir, Alia; Musk, Nigel

2013-01-01

This article examines what we call "micro-level language policy-in-process"--that is, how a target--language-only policy emerges "in situ" in the foreign language classroom. More precisely, we investigate the role of "language policing", the mechanism deployed by the teacher and/or pupils to (re-)establish the…

Medical Devices; General Hospital and Personal Use Devices; Classification of the Image Processing Device for Estimation of External Blood Loss. Final order.

PubMed

2017-12-20

The Food and Drug Administration (FDA or we) is classifying the image processing device for estimation of external blood loss into class II (special controls). The special controls that apply to the device type are identified in this order and will be part of the codified language for the image processing device for estimation of external blood loss' classification. We are taking this action because we have determined that classifying the device into class II (special controls) will provide a reasonable assurance of safety and effectiveness of the device. We believe this action will also enhance patients' access to beneficial innovative devices, in part by reducing regulatory burdens.

Neural Language Processing in Adolescent First-Language Learners: Longitudinal Case Studies in American Sign Language

PubMed Central

Ferjan Ramirez, Naja; Leonard, Matthew K.; Davenport, Tristan S.; Torres, Christina; Halgren, Eric; Mayberry, Rachel I.

2016-01-01

One key question in neurolinguistics is the extent to which the neural processing system for language requires linguistic experience during early life to develop fully. We conducted a longitudinal anatomically constrained magnetoencephalography (aMEG) analysis of lexico-semantic processing in 2 deaf adolescents who had no sustained language input until 14 years of age, when they became fully immersed in American Sign Language. After 2 to 3 years of language, the adolescents' neural responses to signed words were highly atypical, localizing mainly to right dorsal frontoparietal regions and often responding more strongly to semantically primed words (Ferjan Ramirez N, Leonard MK, Torres C, Hatrak M, Halgren E, Mayberry RI. 2014. Neural language processing in adolescent first-language learners. Cereb Cortex. 24 (10): 2772–2783). Here, we show that after an additional 15 months of language experience, the adolescents' neural responses remained atypical in terms of polarity. While their responses to less familiar signed words still showed atypical localization patterns, the localization of responses to highly familiar signed words became more concentrated in the left perisylvian language network. Our findings suggest that the timing of language experience affects the organization of neural language processing; however, even in adolescence, language representation in the human brain continues to evolve with experience. PMID:25410427

Defective Infant Formulas and Expressive Language Problems: A Case Study.

ERIC Educational Resources Information Center

Wing, Clara S.

1990-01-01

Children who used chloride-deficient soy-based infant formulas (Neo-Mull-Soy and Cho-Free) have been found to exhibit expressive language disorders. Medical studies of such children are reviewed, and a case study compares the language development deficits of an eight-year-old boy who used the formula with that of his fraternal twin who did not.…

Elevating "Low" Language for High Stakes: A Case for Critical, Community-Based Learning in a Medical Spanish for Heritage Learners Program

ERIC Educational Resources Information Center

Martinez, Glenn; Schwartz, Adam

2012-01-01

Critical approaches to Spanish heritage language (SHL) pedagogy have called for more meaningful engagement with heritage language communities (Leeman, 2005). In a recent survey, furthermore, SHL students expressed a desire for more community-based activities in SHL curricula (Beaudrie, Ducar, & Relano-Pastor, 2009). This paper reports on the…

"Aspirations of people who come from state education are different": how language reflects social exclusion in medical education.

PubMed

Cleland, Jennifer; Fahey Palma, Tania

2018-01-24

Despite repeated calls for change, the problem of widening access (WA) to medicine persists globally. One factor which may be operating to maintain social exclusion is the language used in representing WA applicants and students by the gatekeepers and representatives of medical schools, Admissions Deans. We therefore examined the institutional discourse of UK Medical Admissions Deans in order to determine how values regarding WA are communicated and presented in this context. We conducted a linguistic analysis of qualitative interviews with Admissions Deans and/or Staff from 24 of 32 UK medical schools. Corpus Linguistics data analysis determined broad patterns of frequency and word lists. This informed a critical discourse analysis of the data using an "othering" lens to explore and understand the judgements made of WA students by Admissions Deans, and the practices to which these judgments give rise. Representations of WA students highlighted existing divides and preconceptions in relation to WA programmes and students. Through using discourse that can be considered othering and divisive, issues of social divide and lack of integration in medicine were highlighted. Language served to reinforce pre-existing stereotypes and a significant 'us' and 'them' rhetoric exists in medical education. Even with drivers to achieve diversity and equality in medical education, existing social structures and preconceptions still influence the representations of applicants and students from outside the 'traditional' medical education model in the UK. Acknowledging this is a crucial step for medical schools wishing to address barriers to the perceived challenges to diversity.

Strategies for searching medical natural language text. Distribution of words in the anatomic diagnoses of 7000 autopsy subjects.

PubMed Central

Moore, G. W.; Hutchins, G. M.; Miller, R. E.

1984-01-01

Computerized indexing and retrieval of medical records is increasingly important; but the use of natural language versus coded languages (SNOP, SNOMED) for this purpose remains controversial. In an effort to develop search strategies for natural language text, the authors examined the anatomic diagnosis reports by computer for 7000 consecutive autopsy subjects spanning a 13-year period at The Johns Hopkins Hospital. There were 923,657 words, 11,642 of them distinct. The authors observed an average of 1052 keystrokes, 28 lines, and 131 words per autopsy report, with an average 4.6 words per line and 7.0 letters per word. The entire text file represented 921 hours of secretarial effort. Words ranged in frequency from 33,959 occurrences of "and" to one occurrence for each of 3398 different words. Searches for rare diseases with unique names or for representative examples of common diseases were most readily performed with the use of computer-printed key word in context (KWIC) books. For uncommon diseases designated by commonly used terms (such as "cystic fibrosis"), needs were best served by a computerized search for logical combinations of key words. In an unbalanced word distribution, each conjunction (logical and) search should be performed in ascending order of word frequency; but each alternation (logical inclusive or) search should be performed in descending order of word frequency. Natural language text searches will assume a larger role in medical records analysis as the labor-intensive procedure of translation into a coded language becomes more costly, compared with the computer-intensive procedure of text searching. PMID:6546837

A Research on Second Language Acquisition and College English Teaching

ERIC Educational Resources Information Center

Li, Changyu

2009-01-01

It was in the 1970s that American linguist S.D. Krashen created the theory of "language acquisition". The theories on second language acquisition were proposed based on the study on the second language acquisition process and its rules. Here, the second language acquisition process refers to the process in which a learner with the…

Input Processing at First Exposure to a Sign Language

ERIC Educational Resources Information Center

Ortega, Gerardo; Morgan, Gary

2015-01-01

There is growing interest in learners' cognitive capacities to process a second language (L2) at first exposure to the target language. Evidence suggests that L2 learners are capable of processing novel words by exploiting phonological information from their first language (L1). Hearing adult learners of a sign language, however, cannot fall back…

[Sociolinguistics and liaison psychiatry: a particular aspect].

PubMed

Singy, P; Bourquin, C; Sulstarova, B; Weber, O

2010-02-17

Verbal language is a major tool of medical communication. However, its use can be problematic, namely because the speakers of a given language do not necessarily agree on the meaning of the words they exchange. This phenomenon is usually called linguistic variability. Based on a famous political and legal case and medical examples, we will show how variability is a critical source of misunderstandings and other communicational breakdowns. In addition, we will suggest some strategies which are likely to limit the impact of variability on clinician/patient interaction.

Vulnerable Subjects: Why Does Informed Consent Matter?

PubMed

Goodwin, Michele

2016-09-01

This special issue of the Journal Law, Medicine & Ethics takes up the concern of informed consent, particularly in times of controversy. The dominant moral dilemmas that frame traditional bioethical concerns address medical experimentation on vulnerable subjects; physicians assisting their patients in suicide or euthanasia; scarce resource allocation and medical futility; human trials to develop drugs; organ and tissue donation; cloning; xenotransplantation; abortion; human enhancement; mandatory vaccination; and much more. The term "bioethics" provides a lens, language, and guideposts to the study of medical ethics. It is worth noting, however, that medical experimentation is neither new nor exclusive to one country. Authors in this issue address thorny subjects that span borders and patients: from matters dealing with children and vaccination to the language and perception of consent. © 2016 American Society of Law, Medicine & Ethics.

An interim report on the MCAT Essay Pilot Project.

PubMed

Koenig, J A; Mitchell, K J

1988-01-01

Results from four pilot administrations of the Medical College Admission Test essay question are reported. Analyses focused on (a) the performance characteristics of sample groups differentiated by gender, size of hometown, race/ethnicity, and dominant language; (b) the relationships between essay scores and academic/demographic characteristics; and (c) the reliability of one 45-minute versus two 30-minute essays. No differences were found for examinees grouped by gender and size of home community. Mean differences among the racial/ethnic groups were explained largely by reading level differences. Differences in essay performance by language group were large and unexplained by reading level differences. No relationship was found between the essay score and the academic/demographic characteristics. Reliability estimates for two 30-minute essays were higher than for one 45-minute essay; however, the 30-minute period yielded writing of poorer quality. Test-retest reliabilities for the 45-minute topics will remain the focus of future studies as will performance by examinees for whom English is a second language. The impact of the essay on the selection process will also be assessed.

Novel methodology to examine cognitive and experiential factors in language development: combining eye-tracking and LENA technology

PubMed Central

Odean, Rosalie; Nazareth, Alina; Pruden, Shannon M.

2015-01-01

Developmental systems theory posits that development cannot be segmented by influences acting in isolation, but should be studied through a scientific lens that highlights the complex interactions between these forces over time (Overton, 2013a). This poses a unique challenge for developmental psychologists studying complex processes like language development. In this paper, we advocate for the combining of highly sophisticated data collection technologies in an effort to move toward a more systemic approach to studying language development. We investigate the efficiency and appropriateness of combining eye-tracking technology and the LENA (Language Environment Analysis) system, an automated language analysis tool, in an effort to explore the relation between language processing in early development, and external dynamic influences like parent and educator language input in the home and school environments. Eye-tracking allows us to study language processing via eye movement analysis; these eye movements have been linked to both conscious and unconscious cognitive processing, and thus provide one means of evaluating cognitive processes underlying language development that does not require the use of subjective parent reports or checklists. The LENA system, on the other hand, provides automated language output that describes a child’s language-rich environment. In combination, these technologies provide critical information not only about a child’s language processing abilities but also about the complexity of the child’s language environment. Thus, when used in conjunction these technologies allow researchers to explore the nature of interacting systems involved in language development. PMID:26379591

Recognition of higher medical institutions in Russia.

PubMed

Severyanova, L; Lazarev, A

2005-08-01

The Russian Federation of higher medical institutions get State accreditation, if their activity conforms to criteria determined by the Ministry of Public Health and the Ministry of Education of the Russian Federation. Kursk State Medical University (KSMU) has a confirmed to requirement of accreditation by the Russian Federation, to conduct annually training of about 5000 students at 12 faculties. KSMU carries out pre-medical undergraduate and postgraduate training in the specialty "Doctor of medicine". For the first time in Russia KSMU was allowed to conduct a 6-year medical training with the use of English as an intermediary language by the Ministry of Public Health and the Ministry of Education. In this relation programmes of training teachers for conducting instruction with the use of an intermediary language (English) and training students Russian with the level necessary for free communication with Russian patients and staff of the clinics have been developed and realized.

Pharmacological management of traumatic brain injury and implications for speech language pathology.

PubMed

Rivera, José O

2014-08-01

This article provides an overview of the pharmacological management of traumatic brain injury (TBI). A basic introduction to key pharmacokinetic and pharmacodynamic principles is used to guide the reader. The goals of the pharmacological management of TBI are explained starting with mild TBI. The main medications used for each medical condition are described with a primary emphasis of effects that may interfere with the role of speech-language pathology (SLP). Some medications may interfere with cognitive, motor, and neuromuscular functions, and others may cause ototoxicity. A basic overview of the pharmacological management of moderate to severe TBI is included because the SLP practitioner may encounter patients with TBI during the recovery phase. The importance of assessment of swallowing evaluations is discussed because the oral route of administration of medications is preferred once the patient is stable. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

The Surgical Simulation and Training Markup Language (SSTML): an XML-based language for medical simulation.

PubMed

Bacon, James; Tardella, Neil; Pratt, Janey; Hu, John; English, James

2006-01-01

Under contract with the Telemedicine & Advanced Technology Research Center (TATRC), Energid Technologies is developing a new XML-based language for describing surgical training exercises, the Surgical Simulation and Training Markup Language (SSTML). SSTML must represent everything from organ models (including tissue properties) to surgical procedures. SSTML is an open language (i.e., freely downloadable) that defines surgical training data through an XML schema. This article focuses on the data representation of the surgical procedures and organ modeling, as they highlight the need for a standard language and illustrate the features of SSTML. Integration of SSTML with software is also discussed.

Why talk with children matters: clinical implications of infant- and child-directed speech research.

PubMed

Ratner, Nan Bernstein

2013-11-01

This article reviews basic features of infant- or child-directed speech, with particular attention to those aspects of the register that have been shown to impact profiles of child language development. It then discusses concerns that arise when describing adult input to children with language delay or disorder, or children at risk for depressed language skills. The article concludes with some recommendations for parent counseling in such cases, as well as methods that speech-language pathologists can use to improve the quality and quantity of language input to language-learning children. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Age-Dependent Effects of Catechol-O-Methyltransferase (COMT) Gene Val158Met Polymorphism on Language Function in Developing Children.

PubMed

Sugiura, Lisa; Toyota, Tomoko; Matsuba-Kurita, Hiroko; Iwayama, Yoshimi; Mazuka, Reiko; Yoshikawa, Takeo; Hagiwara, Hiroko

2017-01-01

The genetic basis controlling language development remains elusive. Previous studies of the catechol-O-methyltransferase (COMT) Val158Met genotype and cognition have focused on prefrontally guided executive functions involving dopamine. However, COMT may further influence posterior cortical regions implicated in language perception. We investigated whether COMT influences language ability and cortical language processing involving the posterior language regions in 246 children aged 6-10 years. We assessed language ability using a language test and cortical responses recorded during language processing using a word repetition task and functional near-infrared spectroscopy. The COMT genotype had significant effects on language performance and processing. Importantly, Met carriers outperformed Val homozygotes in language ability during the early elementary school years (6-8 years), whereas Val homozygotes exhibited significant language development during the later elementary school years. Both genotype groups exhibited equal language performance at approximately 10 years of age. Val homozygotes exhibited significantly less cortical activation compared with Met carriers during word processing, particularly at older ages. These findings regarding dopamine transmission efficacy may be explained by a hypothetical inverted U-shaped curve. Our findings indicate that the effects of the COMT genotype on language ability and cortical language processing may change in a narrow age window of 6-10 years. © The Author 2016. Published by Oxford University Press.

An object-oriented class library for medical software development.

PubMed

O'Kane, K C; McColligan, E E

1996-12-01

The objective of this research is the development of a Medical Object Library (MOL) consisting of reusable, inheritable, portable, extendable C++ classes that facilitate rapid development of medical software at reduced cost and increased functionality. The result of this research is a library of class objects that range in function from string and hierarchical file handling entities to high level, procedural agents that perform increasingly complex, integrated tasks. A system built upon these classes is compatible with any other system similarly constructed with respect to data definitions, semantics, data organization and storage. As new objects are built, they can be added to the class library for subsequent use. The MOL is a toolkit of software objects intended to support a common file access methodology, a unified medical record structure, consistent message processing, standard graphical display facilities and uniform data collection procedures. This work emphasizes the relationship that potentially exists between the structure of a hierarchical medical record and procedural language components by means of a hierarchical class library and tree structured file access facility. In doing so, it attempts to establish interest in and demonstrate the practicality of the hierarchical medical record model in the modern context of object oriented programming.

[Automation of medical literature--and information services].

PubMed

Bakker, S

1997-01-04

It is important for clinical practice to be able to find (or retrieve) relevant literature and to keep informed of the state of medical science. The fact that the contents of articles in journals are now accessible via computers is the result of integration of bibliographic techniques, medical knowledge and computer technology. Articles published in some 5000 medical journals can nowadays be retrieved electronically via Medline and Embase together (but medical literature in Dutch is underrepresented). Computerised insertion of publications into Internet dose not make information traceable or accessible, let alone reliable and readable. It cannot be predicted if electronic versions of scientific periodicals will replace the printed editions completely. However, valuable, reliable information will always have its price, even on Internet. It is unlikely that electronic information published privately (internet) will replace scientific publishers soon, for readers will still want selection and monitoring of contents and language. Good layout, professional typography and suitable illustrations to enhance reading comfort and cognitive processes, will even become more important. The problems arising from the immensity of scientific knowledge are not (any longer) of a technological nature-what is needed is a cultural about-turn of the information infrastructure in medical-scientific associations, organizations and institutions.

Applying a visual language for image processing as a graphical teaching tool in medical imaging

NASA Astrophysics Data System (ADS)

Birchman, James J.; Tanimoto, Steven L.; Rowberg, Alan H.; Choi, Hyung-Sik; Kim, Yongmin

1992-05-01

Typical user interaction in image processing is with command line entries, pull-down menus, or text menu selections from a list, and as such is not generally graphical in nature. Although applying these interactive methods to construct more sophisticated algorithms from a series of simple image processing steps may be clear to engineers and programmers, it may not be clear to clinicians. A solution to this problem is to implement a visual programming language using visual representations to express image processing algorithms. Visual representations promote a more natural and rapid understanding of image processing algorithms by providing more visual insight into what the algorithms do than the interactive methods mentioned above can provide. Individuals accustomed to dealing with images will be more likely to understand an algorithm that is represented visually. This is especially true of referring physicians, such as surgeons in an intensive care unit. With the increasing acceptance of picture archiving and communications system (PACS) workstations and the trend toward increasing clinical use of image processing, referring physicians will need to learn more sophisticated concepts than simply image access and display. If the procedures that they perform commonly, such as window width and window level adjustment and image enhancement using unsharp masking, are depicted visually in an interactive environment, it will be easier for them to learn and apply these concepts. The software described in this paper is a visual programming language for imaging processing which has been implemented on the NeXT computer using NeXTstep user interface development tools and other tools in an object-oriented environment. The concept is based upon the description of a visual language titled `Visualization of Vision Algorithms' (VIVA). Iconic representations of simple image processing steps are placed into a workbench screen and connected together into a dataflow path by the user. As the user creates and edits a dataflow path, more complex algorithms can be built on the screen. Once the algorithm is built, it can be executed, its results can be reviewed, and operator parameters can be interactively adjusted until an optimized output is produced. The optimized algorithm can then be saved and added to the system as a new operator. This system has been evaluated as a graphical teaching tool for window width and window level adjustment, image enhancement using unsharp masking, and other techniques.

Unified Modeling Language (UML) for hospital-based cancer registration processes.

PubMed

Shiki, Naomi; Ohno, Yuko; Fujii, Ayumi; Murata, Taizo; Matsumura, Yasushi

2008-01-01

Hospital-based cancer registry involves complex processing steps that span across multiple departments. In addition, management techniques and registration procedures differ depending on each medical facility. Establishing processes for hospital-based cancer registry requires clarifying specific functions and labor needed. In recent years, the business modeling technique, in which management evaluation is done by clearly spelling out processes and functions, has been applied to business process analysis. However, there are few analytical reports describing the applications of these concepts to medical-related work. In this study, we initially sought to model hospital-based cancer registration processes using the Unified Modeling Language (UML), to clarify functions. The object of this study was the cancer registry of Osaka University Hospital. We organized the hospital-based cancer registration processes based on interview and observational surveys, and produced an As-Is model using activity, use-case, and class diagrams. After drafting every UML model, it was fed-back to practitioners to check its validity and improved. We were able to define the workflow for each department using activity diagrams. In addition, by using use-case diagrams we were able to classify each department within the hospital as a system, and thereby specify the core processes and staff that were responsible for each department. The class diagrams were effective in systematically organizing the information to be used for hospital-based cancer registries. Using UML modeling, hospital-based cancer registration processes were broadly classified into three separate processes, namely, registration tasks, quality control, and filing data. An additional 14 functions were also extracted. Many tasks take place within the hospital-based cancer registry office, but the process of providing information spans across multiple departments. Moreover, additional tasks were required in comparison to using a standardized system because the hospital-based cancer registration system was constructed with the pre-existing computer system in Osaka University Hospital. Difficulty of utilization of useful information for cancer registration processes was shown to increase the task workload. By using UML, we were able to clarify functions and extract the typical processes for a hospital-based cancer registry. Modeling can provide a basis of process analysis for establishment of efficient hospital-based cancer registration processes in each institute.

Ideas on Learning a New Language Intertwined with the Current State of Natural Language Processing and Computational Linguistics

ERIC Educational Resources Information Center

Snyder, Robin M.

2015-01-01

In 2014, in conjunction with doing research in natural language processing and attending a global conference on computational linguistics, the author decided to learn a new foreign language, Greek, that uses a non-English character set. This paper/session will present/discuss an overview of the current state of natural language processing and…

Using A Model-Based Systems Engineering Approach For Exploration Medical System Development

NASA Technical Reports Server (NTRS)

Hanson, A.; Mindock, J.; McGuire, K.; Reilly, J.; Cerro, J.; Othon, W.; Rubin, D.; Urbina, M.; Canga, M.

2017-01-01

NASA's Human Research Program's Exploration Medical Capabilities (ExMC) element is defining the medical system needs for exploration class missions. ExMC's Systems Engineering (SE) team will play a critical role in successful design and implementation of the medical system into exploration vehicles. The team's mission is to "Define, develop, validate, and manage the technical system design needed to implement exploration medical capabilities for Mars and test the design in a progression of proving grounds." Development of the medical system is being conducted in parallel with exploration mission architecture and vehicle design development. Successful implementation of the medical system in this environment will require a robust systems engineering approach to enable technical communication across communities to create a common mental model of the emergent engineering and medical systems. Model-Based Systems Engineering (MBSE) improves shared understanding of system needs and constraints between stakeholders and offers a common language for analysis. The ExMC SE team is using MBSE techniques to define operational needs, decompose requirements and architecture, and identify medical capabilities needed to support human exploration. Systems Modeling Language (SysML) is the specific language the SE team is utilizing, within an MBSE approach, to model the medical system functional needs, requirements, and architecture. Modeling methods are being developed through the practice of MBSE within the team, and tools are being selected to support meta-data exchange as integration points to other system models are identified. Use of MBSE is supporting the development of relationships across disciplines and NASA Centers to build trust and enable teamwork, enhance visibility of team goals, foster a culture of unbiased learning and serving, and be responsive to customer needs. The MBSE approach to medical system design offers a paradigm shift toward greater integration between vehicle and the medical system and directly supports the transition of Earth-reliant ISS operations to the Earth-independent operations envisioned for Mars. Here, we describe the methods and approach to building this integrated model.

[Citation rates of medical German-language journals in English-language papers--do they correlate with the impact factor, and who cites? (reprint)].

PubMed

Winkmann, G; Schlutius, S; Schweim, H G

2002-01-01

Several publications are warning that the German language is no longer needed for transmission of scientific data. One of the causes may be the Impact Factor (IF), which appears to be derived predominantly from Anglo-American journals. The aim of this study was to check actual international attention paid to German-language journals, i. e. their citation frequencies in English-language papers. Are these citing rates in English-language articles correlated to the IF, and from where do citing articles originate? Of 25 arbitrarily selected > 85 % German-language medical journals, IF as well as language distributions of citing articles were determined by searching publication years 1995 - 2000 in Science Citation Index (SCI). MEDLINE and EMBASE were used as supplementary retrieval systems. (i) The sample journals displayed an average IF = 0.357. A 99 % correlation (Pearson factor r = 0.987; n = 25) was observed between our "constructed" IF 2000 and IF published in Journal Citation Report 2000. This proves Stegmann's IF determination method to be valid. On the average, 53 % German-language and 45 % English-language articles between 1995 - 2000 cited the 1995 - 1999' contributions of the studied journals. No correlation was observed between IF vs. rates of citing articles in English (r < 0.1). 64 % of citing English-language articles showed corporate sources in Germany/Austria/Switzerland, and 13.5 % authors' institutions in USA. (i) An IF >/= 1 is, obviously, very hard to attain by German-language journals. ISI's differentiation between Citing vs. Cited-only Journals (the latter often serving as MEDLINE/EMBASE sources) during derivation of IF appears unjustified. (ii) English now serves as the predominant communication language in sciences in German-speaking countries, but has not supplanted the German language. Our study reveals remarkable international attention rates remaining.

How we developed Doctors Speak Up: an evidence-based language and communication skills open access resource for International Medical Graduates.

PubMed

Woodward-Kron, Robyn; Fraser, Catriona; Pill, John; Flynn, Eleanor

2015-01-01

Some International Medical Graduates (IMGs) need to develop language and communication skills for patient-centred care but have limited opportunities to do so. To develop an evidence-based, language and communication skills web resource for IMG doctors and supervisors, focussing on culturally challenging patient interviews. Forty-eight IMGs participated in four practice OSCEs. We video-recorded the interactions and applied discourse analytic methods to investigate salient language and communication features. The findings from the OSCE workshops showed that many participants demonstrated aspects of patient-centred interviewing but were hindered by limited interactional competence to elicit information and negotiate behaviours as well as a limited repertoire of English grammar, vocabulary, and phonological phrasing for effective interaction. These findings guided the choice of content and pedagogy for the development of the web-based resource Doctors Speak Up. Evaluation and uptake of the Doctors Speak Up website confirm the demand for a resource combining targeted communication skills and language instruction. Over 19 500 users visited the website between March 2012 and November 2013.

Executing medical logic modules expressed in ArdenML using Drools

PubMed Central

Jung, Chai Young; Sward, Katherine A

2011-01-01

The Arden Syntax is an HL7 standard language for representing medical knowledge as logic statements. Despite nearly 2 decades of availability, Arden Syntax has not been widely used. This has been attributed to the lack of a generally available compiler to implement the logic, to Arden's complex syntax, to the challenges of mapping local data to data references in the Medical Logic Modules (MLMs), or, more globally, to the general absence of decision support in healthcare computing. An XML representation (ArdenML) may partially address the technical challenges. MLMs created in ArdenML can be converted into executable files using standard transforms written in the Extensible Stylesheet Language Transformation (XSLT) language. As an example, we have demonstrated an approach to executing MLMs written in ArdenML using the Drools business rule management system. Extensions to ArdenML make it possible to generate a user interface through which an MLM developer can test for logical errors. PMID:22180871

Shifting concepts, changing contexts: the new schools' drive for change.

PubMed

Dupper, Maegen; Millard, Heidi; Lyons, Paul

2016-03-01

Seventeen new medical schools were founded in the US and Canada in the decade prior to 2014. These new medical schools continue the tradition of utilizing mission statements (MSs) to convey goals and ideals. The authors aimed to compare these 17 new medical schools' MSs with MSs of previously established medical schools in the US and Canada. The MSs of the 17 newest medical schools were processed and analyzed utilizing network text analysis software that assessed centrality of concepts within new medical schools' MSs. This semantic network data was then compared to existing similar analysis by Grbic et al. (Acad Med 88(6):852-860, 2013. doi: 10.1097/ACM.0b013e31828f603d ). Four concepts were found to be more central in new medical schools' MSs as compared to established medical schools' MSs: "physicians," "improve," "diversity," and "innovation." Grbic et al. found four concepts to be central to all 132 medical schools "health" or "health_care," "research," "education," and "premier" which are shared top themes of the new medical schools' MSs. The author's analysis has demonstrated that new medical schools, as compared to previously established subsets of medical schools, developed both shared and unique language within their MSs. This unique vocabulary reflected a response to a dynamic healthcare environment during the decade of new medical school development. New medical schools may have responded to environmental challenges including a physician shortage while also recognizing the need for a diverse physician workforce prepared to apply innovative strategies to healthcare.

Parallel Activation in Bilingual Phonological Processing

ERIC Educational Resources Information Center

Lee, Su-Yeon

2011-01-01

In bilingual language processing, the parallel activation hypothesis suggests that bilinguals activate their two languages simultaneously during language processing. Support for the parallel activation mainly comes from studies of lexical (word-form) processing, with relatively less attention to phonological (sound) processing. According to…

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

PubMed

Carrell, David S; Schoen, Robert E; Leffler, Daniel A; Morris, Michele; Rose, Sherri; Baer, Andrew; Crockett, Seth D; Gourevitch, Rebecca A; Dean, Katie M; Mehrotra, Ateev

2017-09-01

Widespread application of clinical natural language processing (NLP) systems requires taking existing NLP systems and adapting them to diverse and heterogeneous settings. We describe the challenges faced and lessons learned in adapting an existing NLP system for measuring colonoscopy quality. Colonoscopy and pathology reports from 4 settings during 2013-2015, varying by geographic location, practice type, compensation structure, and electronic health record. Though successful, adaptation required considerably more time and effort than anticipated. Typical NLP challenges in assembling corpora, diverse report structures, and idiosyncratic linguistic content were greatly magnified. Strategies for addressing adaptation challenges include assessing site-specific diversity, setting realistic timelines, leveraging local electronic health record expertise, and undertaking extensive iterative development. More research is needed on how to make it easier to adapt NLP systems to new clinical settings. A key challenge in widespread application of NLP is adapting existing systems to new clinical settings. © 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

Natural language processing and visualization in the molecular imaging domain.

PubMed

Tulipano, P Karina; Tao, Ying; Millar, William S; Zanzonico, Pat; Kolbert, Katherine; Xu, Hua; Yu, Hong; Chen, Lifeng; Lussier, Yves A; Friedman, Carol

2007-06-01

Molecular imaging is at the crossroads of genomic sciences and medical imaging. Information within the molecular imaging literature could be used to link to genomic and imaging information resources and to organize and index images in a way that is potentially useful to researchers. A number of natural language processing (NLP) systems are available to automatically extract information from genomic literature. One existing NLP system, known as BioMedLEE, automatically extracts biological information consisting of biomolecular substances and phenotypic data. This paper focuses on the adaptation, evaluation, and application of BioMedLEE to the molecular imaging domain. In order to adapt BioMedLEE for this domain, we extend an existing molecular imaging terminology and incorporate it into BioMedLEE. BioMedLEE's performance is assessed with a formal evaluation study. The system's performance, measured as recall and precision, is 0.74 (95% CI: [.70-.76]) and 0.70 (95% CI [.63-.76]), respectively. We adapt a JAVA viewer known as PGviewer for the simultaneous visualization of images with NLP extracted information.

Neural Language Processing in Adolescent First-Language Learners: Longitudinal Case Studies in American Sign Language.

PubMed

Ferjan Ramirez, Naja; Leonard, Matthew K; Davenport, Tristan S; Torres, Christina; Halgren, Eric; Mayberry, Rachel I

2016-03-01

One key question in neurolinguistics is the extent to which the neural processing system for language requires linguistic experience during early life to develop fully. We conducted a longitudinal anatomically constrained magnetoencephalography (aMEG) analysis of lexico-semantic processing in 2 deaf adolescents who had no sustained language input until 14 years of age, when they became fully immersed in American Sign Language. After 2 to 3 years of language, the adolescents' neural responses to signed words were highly atypical, localizing mainly to right dorsal frontoparietal regions and often responding more strongly to semantically primed words (Ferjan Ramirez N, Leonard MK, Torres C, Hatrak M, Halgren E, Mayberry RI. 2014. Neural language processing in adolescent first-language learners. Cereb Cortex. 24 (10): 2772-2783). Here, we show that after an additional 15 months of language experience, the adolescents' neural responses remained atypical in terms of polarity. While their responses to less familiar signed words still showed atypical localization patterns, the localization of responses to highly familiar signed words became more concentrated in the left perisylvian language network. Our findings suggest that the timing of language experience affects the organization of neural language processing; however, even in adolescence, language representation in the human brain continues to evolve with experience. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Health Data Publication: No. 28. Algeria.

DTIC Science & Technology

Contents: Geography, climate, and population; People, language, and religion; Government, education , and socio-economic; Agriculture, animal...food sanitation; Animals and plants of medical importance; Diseases of Algeria; Health services and medical facilities .

My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology

PubMed Central

Shroff, Adhir; Groo, Vicki; Dickens, Carolyn; Field, Jerry; Baumann, Matthew; Welland, Betty; Gutowski, Gerry; Flores Jr, Jose D; Zhao, Zhongsheng; Bahroos, Neil; Hynes, Denise M; Wilkie, Diana J

2015-01-01

Background Patient adherence to medication regimens is critical in most chronic disease treatment plans. This study uses a patient-centered tablet app, “My Interventional Drug-Eluting Stent Educational App (MyIDEA).” This is an educational program designed to improve patient medication adherence. Objective Our goal is to describe the design, methodology, limitations, and results of the MyIDEA tablet app. We created a mobile technology-based patient education app to improve dual antiplatelet therapy adherence in patients who underwent a percutaneous coronary intervention and received a drug-eluting stent. Methods Patient advisers were involved in the development process of MyIDEA from the initial wireframe to the final launch of the product. The program was restructured and redesigned based on the patient advisers’ suggestions as well as those from multidisciplinary team members. To accommodate those with low health literacy, we modified the language and employed attractive color schemes to improve ease of use. We assumed that the target patient population may have little to no experience with electronic tablets, and therefore, we designed the interface to be as intuitive as possible. Results The MyIDEA app has been successfully deployed to a low-health-literate elderly patient population in the hospital setting. A total of 6 patients have interacted with MyIDEA for an average of 17.6 minutes/session. Conclusions Including patient advisers in the early phases of a mobile patient education development process is critical. A number of changes in text order, language, and color schemes occurred to improve ease of use. The MyIDEA program has been successfully deployed to a low-health-literate elderly patient population. Leveraging patient advisers throughout the development process helps to ensure implementation success. PMID:26139587

Contributions to singing ability by the posterior portion of the superior temporal gyrus of the non-language-dominant hemisphere: First evidence from subdural cortical stimulation, Wada testing, and fMRI

PubMed Central

Suarez, Ralph O.; Golby, Alexandra; Whalen, Stephen; Sato, Susumu; Theodore, William H.; Kufta, Conrad V.; Devinsky, Orrin; Balish, Marshall; Bromfield, Edward B.

2009-01-01

INTRODUCTION Although the substrates that mediate singing abilities in the human brain are not well understood, invasive brain mapping techniques used for clinical decision making such as intracranial electrocortical testing and Wada testing offer a rare opportunity to examine music-related function in a select group of subjects, affording exceptional spatial and temporal specificity. METHODS We studied eight patients with medically refractory epilepsy undergoing indwelling subdural electrode seizure focus localization. All patients underwent Wada testing for language lateralization. Functional assessment of language and music tasks was done by electrode grid cortical stimulation. One patient was also tested non-invasively with functional MRI. Functional organization of singing ability compared to language ability was determined based on four regions-ofinterest: left and right inferior frontal gyrus (IFG), and left and right posterior superior temporal gyrus (pSTG). RESULTS In some subjects, electrical stimulation of dominant pSTG can interfere with speech and not singing, whereas stimulation of non-dominant pSTG area can interfere with singing and not speech. Stimulation of the dominant IFG tends to interfere with both musical and language expression, while non-dominant IFG stimulation was often observed to cause no interference with either task; and finally, that stimulation of areas adjacent to but not within non-dominant pSTG typically does not affect either ability. FMRI mappings of one subject revealed similar music/language dissociation with respect to activation asymmetry within the regions-of-interest. CONCLUSION Despite inherent limitations with respect to strictly research objectives, invasive clinical techniques offer a rare opportunity to probe musical and language cognitive processes of the brain in a select group of patients. PMID:19570530

Porting a Mental Expert System to a Mainstream Programming Environment

PubMed Central

Jao, Chiang S.; Hier, Daniel B.; Dollear, Winifred; Fu, Wenying

2001-01-01

Expert systems are increasingly being applied to problems in medical diagnosis and treatment. Initial medical expert systems were programmed in specialized “expert system” shell programming environments. As the power of mainstream programming languages has increased, it has become possible to implement medical expert systems within these mainstream languages. We originally implemented an expert system to record and score the mental status examination utilizing a specialized expert system programming environment. We have now ported that application to a mainstream programming environment without losing any functionality of an accurate and comprehensive diagnostic tool. New system supplements the need of normative consultation report and offline reference library to the traditional patient care system.

5 CFR 838.302 - Language not acceptable for processing.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 2 2011-01-01 2011-01-01 false Language not acceptable for processing... Affecting Employee Annuities § 838.302 Language not acceptable for processing. (a) Qualifying Domestic... accordance with the terminology used in this part. (3) Although any language satisfying the requirements of...

5 CFR 838.302 - Language not acceptable for processing.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 2 2010-01-01 2010-01-01 false Language not acceptable for processing... Affecting Employee Annuities § 838.302 Language not acceptable for processing. (a) Qualifying Domestic... accordance with the terminology used in this part. (3) Although any language satisfying the requirements of...

An Internet supported workflow for the publication process in UMVF (French Virtual Medical University).

PubMed

Renard, Jean-Marie; Bourde, Annabel; Cuggia, Marc; Garcelon, Nicolas; Souf, Nathalie; Darmoni, Stephan; Beuscart, Régis; Brunetaud, Jean-Marc

2007-01-01

The " Université Médicale Virtuelle Francophone" (UMVF) is a federation of French medical schools. Its main goal is to share the production and use of pedagogic medical resources generated by academic medical teachers. We developed an Open-Source application based upon a workflow system, which provides an improved publication process for the UMVF. For teachers, the tool permits easy and efficient upload of new educational resources. For web masters it provides a mechanism to easily locate and validate the resources. For librarian it provide a way to improve the efficiency of indexation. For all, the utility provides a workflow system to control the publication process. On the students side, the application improves the value of the UMVF repository by facilitating the publication of new resources and by providing an easy way to find a detailed description of a resource and to check any resource from the UMVF to ascertain its quality and integrity, even if the resource is an old deprecated version. The server tier of the application is used to implement the main workflow functionalities and is deployed on certified UMVF servers using the PHP language, an LDAP directory and an SQL database. The client tier of the application provides both the workflow and the search and check functionalities. A unique signature for each resource, was needed to provide security functionality and is implemented using a Digest algorithm. The testing performed by Rennes and Lille verified the functionality and conformity with our specifications.

A UMLS-based spell checker for natural language processing in vaccine safety.

PubMed

Tolentino, Herman D; Matters, Michael D; Walop, Wikke; Law, Barbara; Tong, Wesley; Liu, Fang; Fontelo, Paul; Kohl, Katrin; Payne, Daniel C

2007-02-12

The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP) pipeline for AEFI reports. We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1) error detection, (2) word list generation, (3) word list disambiguation and (4) error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV) for the spell checker were 74% (95% CI: 74-75), 100% (95% CI: 100-100), and 47% (95% CI: 46%-48%), respectively. We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available tools, but the specificity was much superior. The slow processing speed may be improved by trimming it down to the most useful component algorithms. Other investigators may find the methods we developed useful for cleaning text using lexicons specific to their area of interest.

Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

PubMed

Zhang, Xingyu; Kim, Joyce; Patzer, Rachel E; Pitts, Stephen R; Patzer, Aaron; Schrager, Justin D

2017-10-26

To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following initial presentation to Emergency Department (ED) triage with and without the addition of natural language processing elements. Using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), a cross-sectional probability sample of United States EDs from 2012 and 2013 survey years, we developed several predictive models with the outcome being admission to the hospital or transfer vs. discharge home. We included patient characteristics immediately available after the patient has presented to the ED and undergone a triage process. We used this information to construct logistic regression (LR) and multilayer neural network models (MLNN) which included natural language processing (NLP) and principal component analysis from the patient's reason for visit. Ten-fold cross validation was used to test the predictive capacity of each model and receiver operating curves (AUC) were then calculated for each model. Of the 47,200 ED visits from 642 hospitals, 6,335 (13.42%) resulted in hospital admission (or transfer). A total of 48 principal components were extracted by NLP from the reason for visit fields, which explained 75% of the overall variance for hospitalization. In the model including only structured variables, the AUC was 0.824 (95% CI 0.818-0.830) for logistic regression and 0.823 (95% CI 0.817-0.829) for MLNN. Models including only free-text information generated AUC of 0.742 (95% CI 0.731- 0.753) for logistic regression and 0.753 (95% CI 0.742-0.764) for MLNN. When both structured variables and free text variables were included, the AUC reached 0.846 (95% CI 0.839-0.853) for logistic regression and 0.844 (95% CI 0.836-0.852) for MLNN. The predictive accuracy of hospital admission or transfer for patients who presented to ED triage overall was good, and was improved with the inclusion of free text data from a patient's reason for visit regardless of modeling approach. Natural language processing and neural networks that incorporate patient-reported outcome free text may increase predictive accuracy for hospital admission.

A UMLS-based spell checker for natural language processing in vaccine safety

PubMed Central

Tolentino, Herman D; Matters, Michael D; Walop, Wikke; Law, Barbara; Tong, Wesley; Liu, Fang; Fontelo, Paul; Kohl, Katrin; Payne, Daniel C

2007-01-01

Background The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP) pipeline for AEFI reports. Methods We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1) error detection, (2) word list generation, (3) word list disambiguation and (4) error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. Results We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV) for the spell checker were 74% (95% CI: 74–75), 100% (95% CI: 100–100), and 47% (95% CI: 46%–48%), respectively. Conclusion We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available tools, but the specificity was much superior. The slow processing speed may be improved by trimming it down to the most useful component algorithms. Other investigators may find the methods we developed useful for cleaning text using lexicons specific to their area of interest. PMID:17295907

Speaking in Multiple Languages: Neural Correlates of Language Proficiency in Multilingual Word Production

ERIC Educational Resources Information Center

Videsott, Gerda; Herrnberger, Barbel; Hoenig, Klaus; Schilly, Edgar; Grothe, Jo; Wiater, Werner; Spitzer, Manfred; Kiefer, Markus

2010-01-01

The human brain has the fascinating ability to represent and to process several languages. Although the first and further languages activate partially different brain networks, the linguistic factors underlying these differences in language processing have to be further specified. We investigated the neural correlates of language proficiency in a…

Global Language Identities and Ideologies in an Indonesian University Context

ERIC Educational Resources Information Center

Zentz, Lauren

2012-01-01

This ethnographic study of language use and English language learners in Central Java, Indonesia examines globalization processes within and beyond language; processes of language shift and change in language ecologies; and critical and comprehensive approaches to the teaching of English around the world. From my position as teacher-researcher and…

Parental Ethnotheories and Family Language Policy in Transnational Adoptive Families

ERIC Educational Resources Information Center

Fogle, Lyn Wright

2013-01-01

Family language policy refers to explicit and overt decisions parents make about language use and language learning as well as implicit processes that legitimize certain language and literacy practices over others in the home. Studies in family language policy have emphasized the ways in which family-internal processes are shaped by and shape…

Primary language, income and the intensification of anti-glycemic medications in managed care: the (TRIAD) study.

PubMed

Duru, O Kenrik; Bilik, Dori; McEwen, Laura N; Brown, Arleen F; Karter, Andrew J; Curb, J David; Marrero, David G; Lu, Shou-En; Rodriguez, Michael; Mangione, Carol M

2011-05-01

Patients who speak Spanish and/or have low socioeconomic status are at greater risk of suboptimal glycemic control. Inadequate intensification of anti-glycemic medications may partially explain this disparity. To examine the associations between primary language, income, and medication intensification. Cohort study with 18-month follow-up. One thousand nine hundred and thirty-nine patients with Type 2 diabetes who were not using insulin enrolled in the Translating Research into Action for Diabetes Study (TRIAD), a study of diabetes care in managed care. Using administrative pharmacy data, we compared the odds of medication intensification for patients with baseline A1c ≥ 8%, by primary language and annual income. Covariates included age, sex, race/ethnicity, education, Charlson score, diabetes duration, baseline A1c, type of diabetes treatment, and health plan. Overall, 42.4% of patients were taking intensified regimens at the time of follow-up. We found no difference in the odds of intensification for English speakers versus Spanish speakers. However, compared to patients with incomes <$15,000, patients with incomes of $15,000-$39,999 (OR 1.43, 1.07-1.92), $40,000-$74,999 (OR 1.62, 1.16-2.26) or >$75,000 (OR 2.22, 1.53-3.24) had increased odds of intensification. This latter pattern did not differ statistically by race. Low-income patients were less likely to receive medication intensification compared to higher-income patients, but primary language (Spanish vs. English) was not associated with differences in intensification in a managed care setting. Future studies are needed to explain the reduced rate of intensification among low income patients in managed care.

The Influence of Working Memory and Phonological Processing on English Language Learner Children's Bilingual Reading and Language Acquisition

ERIC Educational Resources Information Center

Swanson, H. Lee; Orosco, Michael J.; Lussier, Cathy M.; Gerber, Michael M.; Guzman-Orth, Danielle A.

2011-01-01

In this study, we explored whether the contribution of working memory (WM) to children's (N = 471) 2nd language (L2) reading and language acquisition was best accounted for by processing efficiency at a phonological level and/or by executive processes independent of phonological processing. Elementary school children (Grades 1, 2, & 3) whose…

Second Language Processing: When Are First and Second Languages Processed Similarly?

ERIC Educational Resources Information Center

Sabourin, Laura; Stowe, Laurie A.

2008-01-01

In this article we investigate the effects of first language (L1) on second language (L2) neural processing for two grammatical constructions (verbal domain dependency and grammatical gender), focusing on the event-related potential P600 effect, which has been found in both L1 and L2 processing. Native Dutch speakers showed a P600 effect for both…

Providing physicians with feedback on medication adherence for people with chronic diseases taking long-term medication.

PubMed

Zaugg, Vincent; Korb-Savoldelli, Virginie; Durieux, Pierre; Sabatier, Brigitte

2018-01-10

Poor medication adherence decreases treatment efficacy and worsens clinical outcomes, but average rates of adherence to long-term pharmacological treatments for chronic illnesses are only about 50%. Interventions for improving medication adherence largely focus on patients rather than on physicians; however, the strategies shown to be effective are complex and difficult to implement in clinical practice. There is a need for new care models addressing the problem of medication adherence, integrating this problem into the patient care process. Physicians tend to overestimate how well patients take their medication as prescribed. This can lead to missed opportunities to change medications, solve adverse effects, or propose the use of reminders in order to improve patients' adherence. Thus, providing physicians with feedback on medication adherence has the potential to prompt changes that improve their patients' adherence to prescribed medications. To assess the effects of providing physicians with feedback about their patients' medication adherence for improving adherence. We also assessed the effects of the intervention on patient outcomes, health resource use, and processes of care. We conducted a systematic search of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase, all from database inception to December 2016 and without any language restriction. We also searched ISI Web of Science, two trials registers, and grey literature. We included randomised trials, controlled before-after studies, and interrupted time series studies that compared the effects of providing feedback to physicians about their patients' adherence to prescribed long-term medications for chronic diseases versus usual care. We included published or unpublished studies in any language. Participants included any physician and any patient prescribed with long-term medication for chronic disease. We included interventions providing the prescribing physician with information about patient adherence to medication. Only studies in which feedback to the physician was the sole intervention or the essential component of a multifaceted intervention were eligible. In the comparison groups, the physicians should not have had access to information about their patients' adherence to medication. We considered the following outcomes: medication adherence, patient outcomes, health resource use, processes of care, and adverse events. Two independent review authors extracted and analysed all data using standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care group. Due to heterogeneity in study methodology, comparison groups, intervention settings, and measurements of outcomes, we did not carry out meta-analysis. We describe the impact of interventions on outcomes in tabular form and make a qualitative assessment of the effects of studies. We included nine studies (23,255 patient participants): eight randomised trials and one interrupted time series analysis. The studies took place in primary care and other outpatient settings in the USA and Canada. Seven interventions involved the systematic provision of feedback to physicians concerning all their patients' adherence to medication, and two interventions involved issuing an alert for non-adherent patients only. Seven studies used pharmacy refill data to assess medication adherence, and two used an electronic device or self-reporting. The definition of adherence differed across studies, making comparisons difficult. Eight studies were at high risk of bias, and one study was at unclear risk of bias. The most frequent source of bias was lack of protection against contamination.Providing physicians with feedback may lead to little or no difference in medication adherence (seven studies, 22,924 patients), patient outcomes (two studies, 1292 patients), or health resource use (two studies, 4181 patients). Providing physicians with feedback on medication adherence may improve processes of care (e.g. more medication changes, dialogue with patient, management of uncontrolled hypertension) compared to usual care (four studies, 2780 patients). None of the studies reported an adverse event due to the intervention. The certainty of evidence was low for all outcomes, mainly due to high risk of bias, high heterogeneity across studies, and indirectness of evidence. Across nine studies, we observed little or no evidence that provision of feedback to physicians regarding their patients adherence to prescribed medication improved medication adherence, patient outcomes, or health resource use. Feedback about medication adherence may improve processes of care, but due to the small number of studies assessing this outcome and high risk of bias, we cannot draw firm conclusions on the effect of feedback on this outcome. Future research should use a clear, standardised definition of medication adherence and cluster-randomisation to avoid the risk of contamination.

Bilingualism, Mind, and Brain.

PubMed

Kroll, Judith F; Dussias, Paola E; Bice, Kinsey; Perrotti, Lauren

2015-01-01

The use of two or more languages is common in most of the world. Yet, until recently, bilingualism was considered to be a complicating factor for language processing, cognition, and the brain. The past 20 years have witnessed an upsurge of research on bilingualism to examine language acquisition and processing, their cognitive and neural bases, and the consequences that bilingualism holds for cognition and the brain over the life span. Contrary to the view that bilingualism complicates the language system, this new research demonstrates that all of the languages that are known and used become part of the same language system. The interactions that arise when two languages are in play have consequences for the mind and the brain and, indeed, for language processing itself, but those consequences are not additive. Thus, bilingualism helps reveal the fundamental architecture and mechanisms of language processing that are otherwise hidden in monolingual speakers.

Bilingualism, Mind, and Brain

PubMed Central

Dussias, Paola E.; Bice, Kinsey; Perrotti, Lauren

2016-01-01

The use of two or more languages is common in most of the world. Yet, until recently, bilingualism was considered to be a complicating factor for language processing, cognition, and the brain. The past 20 years have witnessed an upsurge of research on bilingualism to examine language acquisition and processing, their cognitive and neural bases, and the consequences that bilingualism holds for cognition and the brain over the life span. Contrary to the view that bilingualism complicates the language system, this new research demonstrates that all of the languages that are known and used become part of the same language system. The interactions that arise when two languages are in play have consequences for the mind and the brain and, indeed, for language processing itself, but those consequences are not additive. Thus, bilingualism helps reveal the fundamental architecture and mechanisms of language processing that are otherwise hidden in monolingual speakers. PMID:28642932

Win-win: advancing written language knowledge and practice through university clinics.

PubMed

Katz, Lauren A; Fallon, Karen A

2015-02-01

Speech-language pathologists (SLPs) are uniquely suited for assessing and treating individuals with both spoken and written language disorders. Yet as students move from the elementary grades into the middle and high school grades, SLPs tend to provide fewer direct language services to them. Although spoken language disorders become written language disorders, SLP are not receiving sufficient training in the area of written language, and this is reflected in the extent to which they believe they have the knowledge and skills to provide services to struggling readers and writers on their caseloads. In this article, we discuss these problems and present effective methods for addressing them. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Language Is a Complex Adaptive System: Position Paper

ERIC Educational Resources Information Center

Beckner, Clay; Blythe, Richard; Bybee, Joan; Christiansen, Morten H.; Croft, William; Ellis, Nick C.; Holland, John; Ke, Jinyun; Larsen-Freeman, Diane; Schoenemann, Tom

2009-01-01

Language has a fundamentally social function. Processes of human interaction along with domain-general cognitive processes shape the structure and knowledge of language. Recent research in the cognitive sciences has demonstrated that patterns of use strongly affect how language is acquired, is used, and changes. These processes are not independent…

Thread, Web and Tapestry-making: Processes of Development and Language.

ERIC Educational Resources Information Center

Robinson, Clinton D. W.

1999-01-01

Reviews the major features of participatory development, asking how far similar processes are applied in promoting the use of local languages. Argues that language development processes must figure into participatory approaches to develop multilingual environments and that attention to language must proceed along similar participatory lines. (CMK)

Testing the Shallow Structure Hypothesis in L2 Japanese

ERIC Educational Resources Information Center

Smith, Megan

2016-01-01

Language processing heuristics are one of the possible sources of divergence between first and second language systems. The Shallow Structure Hypothesis (SSH) (Clahsen and Felser, 2006) proposes that non-native language processing relies primarily on semantic, and not syntactic, information, and that second language (L2) processing is therefore…

5 CFR 838.803 - Language not acceptable for processing.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 2 2011-01-01 2011-01-01 false Language not acceptable for processing... Awarding Former Spouse Survivor Annuities § 838.803 Language not acceptable for processing. (a) Qualifying... drafted in accordance with the terminology used in this part. (3) Although any language satisfying the...