Science.gov

Sample records for medication error data-sharing

  1. Medication Errors

    MedlinePlus

    ... common links HHS U.S. Department of Health and Human Services U.S. Food and Drug Administration A to Z Index Follow ... Practices National Patient Safety Foundation To Err is Human: ... Errors: Quality Chasm Series National Coordinating Council for Medication Error ...

  2. [Criminal prosecution for medical errors].

    PubMed

    Legemaate, J

    2011-01-01

    A policy document providing instructions on the decision to prosecute in medical errors came into effect on November 1st 2010. In this document the Dutch Public Prosecution Service has attempted to make clear which criteria should be adopted when deciding to prosecute in the case of a medical error. There have also been other recent developments in this context: the public prosecutor can now demand access to medical files in certain, highly exceptional circumstances, such as when patients are themselves suspected of committing a criminal offence; and the Dutch Health Care Inspectorate may only pass on a patient's medical file to the public prosecutor if the prosecutor is already in possession of a copy of it. The new policy document leaves several questions unanswered. It does not consider the criminal liability of health care institutions, for example, and there is too much focus on the responsibilities of individual health care workers.

  3. Medication errors: definitions and classification.

    PubMed

    Aronson, Jeffrey K

    2009-06-01

    1. To understand medication errors and to identify preventive strategies, we need to classify them and define the terms that describe them. 2. The four main approaches to defining technical terms consider etymology, usage, previous definitions, and the Ramsey-Lewis method (based on an understanding of theory and practice). 3. A medication error is 'a failure in the treatment process that leads to, or has the potential to lead to, harm to the patient'. 4. Prescribing faults, a subset of medication errors, should be distinguished from prescription errors. A prescribing fault is 'a failure in the prescribing [decision-making] process that leads to, or has the potential to lead to, harm to the patient'. The converse of this, 'balanced prescribing' is 'the use of a medicine that is appropriate to the patient's condition and, within the limits created by the uncertainty that attends therapeutic decisions, in a dosage regimen that optimizes the balance of benefit to harm'. This excludes all forms of prescribing faults, such as irrational, inappropriate, and ineffective prescribing, underprescribing and overprescribing. 5. A prescription error is 'a failure in the prescription writing process that results in a wrong instruction about one or more of the normal features of a prescription'. The 'normal features' include the identity of the recipient, the identity of the drug, the formulation, dose, route, timing, frequency, and duration of administration. 6. Medication errors can be classified, invoking psychological theory, as knowledge-based mistakes, rule-based mistakes, action-based slips, and memory-based lapses. This classification informs preventive strategies.

  4. ISMP Medication Error Report Analysis.

    PubMed

    2013-10-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  5. ISMP Medication Error Report Analysis.

    PubMed

    2014-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  6. ISMP Medication Error Report Analysis.

    PubMed

    2013-05-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  7. ISMP Medication Error Report Analysis.

    PubMed

    2013-12-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  8. ISMP Medication Error Report Analysis.

    PubMed

    2013-11-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  9. ISMP Medication error report analysis.

    PubMed

    2013-04-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  10. ISMP Medication Error Report Analysis.

    PubMed

    2013-06-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  11. ISMP Medication Error Report Analysis.

    PubMed

    2013-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  12. ISMP Medication Error Report Analysis.

    PubMed

    2013-02-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  13. ISMP Medication Error Report Analysis.

    PubMed

    2013-03-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  14. ISMP Medication Error Report Analysis.

    PubMed

    2013-09-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  15. ISMP Medication Error Report Analysis.

    PubMed

    2013-07-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  16. Addressing Medical Errors in Hand Surgery

    PubMed Central

    Johnson, Shepard P.; Adkinson, Joshua M.; Chung, Kevin C.

    2014-01-01

    Influential think-tank such as the Institute of Medicine has raised awareness about the implications of medical errors. In response, organizations, medical societies, and institutions have initiated programs to decrease the incidence and effects of these errors. Surgeons deal with the direct implications of adverse events involving patients. In addition to managing the physical consequences, they are confronted with ethical and social issues when caring for a harmed patient. Although there is considerable effort to implement system-wide changes, there is little guidance for hand surgeons on how to address medical errors. Admitting an error is difficult, but a transparent environment where patients are notified of errors and offered consolation and compensation is essential to maintain trust. Further, equipping hand surgeons with a guide for addressing medical errors will promote compassionate patient interaction, help identify system failures, provide learning points for safety improvement, and demonstrate a commitment to ethically responsible medical care. PMID:25154576

  17. Toward a cognitive taxonomy of medical errors.

    PubMed

    Zhang, Jiajie; Patel, Vimla L; Johnson, Todd R; Shortliffe, Edward H

    2002-01-01

    One critical step in addressing and resolving the problems associated with human errors is the development of a cognitive taxonomy of such errors. In the case of errors, such a taxonomy may be developed (1) to categorize all types of errors along cognitive dimensions, (2) to associate each type of error with a specific underlying cognitive mechanism, (3) to explain why, and even predict when and where, a specific error will occur, and (4) to generate intervention strategies for each type of error. Based on Reason's (1992) definition of human errors and Norman's (1986) cognitive theory of human action, we have developed a preliminary action-based cognitive taxonomy of errors that largely satisfies these four criteria in the domain of medicine. We discuss initial steps for applying this taxonomy to develop an online medical error reporting system that not only categorizes errors but also identifies problems and generates solutions.

  18. Prescribing Errors Involving Medication Dosage Forms

    PubMed Central

    Lesar, Timothy S

    2002-01-01

    CONTEXT Prescribing errors involving medication dose formulations have been reported to occur frequently in hospitals. No systematic evaluations of the characteristics of errors related to medication dosage formulation have been performed. OBJECTIVE To quantify the characteristics, frequency, and potential adverse patient effects of prescribing errors involving medication dosage forms . DESIGN Evaluation of all detected medication prescribing errors involving or related to medication dosage forms in a 631-bed tertiary care teaching hospital. MAIN OUTCOME MEASURES Type, frequency, and potential for adverse effects of prescribing errors involving or related to medication dosage forms. RESULTS A total of 1,115 clinically significant prescribing errors involving medication dosage forms were detected during the 60-month study period. The annual number of detected errors increased throughout the study period. Detailed analysis of the 402 errors detected during the last 16 months of the study demonstrated the most common errors to be: failure to specify controlled release formulation (total of 280 cases; 69.7%) both when prescribing using the brand name (148 cases; 36.8%) and when prescribing using the generic name (132 cases; 32.8%); and prescribing controlled delivery formulations to be administered per tube (48 cases; 11.9%). The potential for adverse patient outcome was rated as potentially “fatal or severe” in 3 cases (0.7%), and “serious” in 49 cases (12.2%). Errors most commonly involved cardiovascular agents (208 cases; 51.7%). CONCLUSIONS Hospitalized patients are at risk for adverse outcomes due to prescribing errors related to inappropriate use of medication dosage forms. This information should be considered in the development of strategies to prevent adverse patient outcomes resulting from such errors. PMID:12213138

  19. Reducing medication errors: Teaching strategies that increase nursing students' awareness of medication errors and their prevention.

    PubMed

    Latimer, Sharon; Hewitt, Jayne; Stanbrough, Rebecca; McAndrew, Ron

    2017-02-14

    Medication errors are a patient safety and quality of care issue. There is evidence to suggest many undergraduate nursing curricula do not adequately educate students about the factors that contribute to medication errors and possible strategies to prevent them. We designed and developed a suite of teaching strategies that raise students' awareness of medication error producing situations and their prevention.

  20. Toward worldwide data sharing

    NASA Astrophysics Data System (ADS)

    Walker, Raymond; Joy, Steven; King, Todd

    2012-07-01

    Over the past decade the nature of space science research has changed dramatically. Earlier investigators could carry out meaningful research by looking at observations from a single instrument on a single spacecraft. Today that is rapidly changing and researchers regularly use data from multiple instruments on multiple spacecraft as well as observations from ground observatories. Increasingly those observations come from missions flown by many countries. Recent advances in distributed data management have made it possible for researchers located around the world to access and use data from multiple nations. By using virtual observatory technology it no longer matters where data are housed they can be freely accessed wherever they reside. In this presentation we will discuss two initiatives designed to make space science data access worldwide. One is the International Planetary Data Alliance (IPDA) and the other is the Heliophysics Data and Model Consortium (HDMC). In both cases the key to worldwide data sharing is adopting common metadata standards. In this talk we will review how these two groups are addressing the worldwide data sharing and their progress in achieving their goals. IPDA and HDMC are two of several efforts to promote broad based data sharing. Talks in the remainder of the symposium will discuss this is more detail.

  1. A Probabilistic Model for Reducing Medication Errors

    PubMed Central

    Nguyen, Phung Anh; Syed-Abdul, Shabbir; Iqbal, Usman; Hsu, Min-Huei; Huang, Chen-Ling; Li, Hsien-Chang; Clinciu, Daniel Livius; Jian, Wen-Shan; Li, Yu-Chuan Jack

    2013-01-01

    Background Medication errors are common, life threatening, costly but preventable. Information technology and automated systems are highly efficient for preventing medication errors and therefore widely employed in hospital settings. The aim of this study was to construct a probabilistic model that can reduce medication errors by identifying uncommon or rare associations between medications and diseases. Methods and Finding(s) Association rules of mining techniques are utilized for 103.5 million prescriptions from Taiwan’s National Health Insurance database. The dataset included 204.5 million diagnoses with ICD9-CM codes and 347.7 million medications by using ATC codes. Disease-Medication (DM) and Medication-Medication (MM) associations were computed by their co-occurrence and associations’ strength were measured by the interestingness or lift values which were being referred as Q values. The DMQs and MMQs were used to develop the AOP model to predict the appropriateness of a given prescription. Validation of this model was done by comparing the results of evaluation performed by the AOP model and verified by human experts. The results showed 96% accuracy for appropriate and 45% accuracy for inappropriate prescriptions, with a sensitivity and specificity of 75.9% and 89.5%, respectively. Conclusions We successfully developed the AOP model as an efficient tool for automatic identification of uncommon or rare associations between disease-medication and medication-medication in prescriptions. The AOP model helps to reduce medication errors by alerting physicians, improving the patients’ safety and the overall quality of care. PMID:24312659

  2. Prevention of medication errors: detection and audit.

    PubMed

    Montesi, Germana; Lechi, Alessandro

    2009-06-01

    1. Medication errors have important implications for patient safety, and their identification is a main target in improving clinical practice errors, in order to prevent adverse events. 2. Error detection is the first crucial step. Approaches to this are likely to be different in research and routine care, and the most suitable must be chosen according to the setting. 3. The major methods for detecting medication errors and associated adverse drug-related events are chart review, computerized monitoring, administrative databases, and claims data, using direct observation, incident reporting, and patient monitoring. All of these methods have both advantages and limitations. 4. Reporting discloses medication errors, can trigger warnings, and encourages the diffusion of a culture of safe practice. Combining and comparing data from various and encourages the diffusion of a culture of safe practice sources increases the reliability of the system. 5. Error prevention can be planned by means of retroactive and proactive tools, such as audit and Failure Mode, Effect, and Criticality Analysis (FMECA). Audit is also an educational activity, which promotes high-quality care; it should be carried out regularly. In an audit cycle we can compare what is actually done against reference standards and put in place corrective actions to improve the performances of individuals and systems. 6. Patient safety must be the first aim in every setting, in order to build safer systems, learning from errors and reducing the human and fiscal costs.

  3. Cognitive Errors in Reconciling Complex Medication Lists

    PubMed Central

    Horsky, Jan; Ramelson, Harley Z.

    2016-01-01

    Discrepancies between multiple electronic versions of patient medication records contribute to adverse drug events. Regular reconciliation increases their accuracy but is often inadequately supported by EHRs. We evaluated two systems with conceptually different interface designs for their effectiveness in resolving discrepancies. Eleven clinicians reconciled a complex list of 16 medications using both EHRs in the same standardized scenario. Errors such as omissions to add or discontinue a drug or to update a dose were analyzed. Clinicians made three times as many errors working with an EHR with lists arranged in a single column than when using a system with side-by-side lists. Excessive cognitive effort and reliance on memory was likely a strong contributing factor for lower accuracy of reconciliation. As errors increase with task difficulty, evaluations of reconciliation tools need to focus on complex prescribing scenarios to accurately assess effectiveness, error rate and whether they reduce risk to patient safety. PMID:28269860

  4. Nursing student medication errors: a retrospective review.

    PubMed

    Harding, Lorill; Petrick, Teresa

    2008-01-01

    This article presents the findings of a retrospective review of medication errors made and reported by nursing students in a 4-year baccalaureate program. Data were examined in relation to the semester of the program, kind of error according to the rights of medication administration, and contributing factors. Three categories of contributing factors were identified: rights violations, system factors, and knowledge and understanding. It became apparent that system factors, or the context in which medication administration takes place, are not fully considered when students are taught about medication administration. Teaching strategies need to account for the dynamic complexity of this process and incorporate experiential knowledge. This review raised several important questions about how this information guides our practice as educators in the clinical and classroom settings and how we can work collaboratively with practice partners to influence change and increase patient safety.

  5. [Medication error due to drug packaging: a case report].

    PubMed

    Hélène', Ginestet; David, Breton; Sophie, Spadoni; Vincent, Jandard; Michel, Paillet; Xavier, Bohand

    2009-12-01

    Nowadays, occurrence of medication errors is a public health concern at hospital. Drug packaging represent one of the important causes of medication errors. The authors report a medication error associated with an erroneous interpretation of drug packaging information. This error was detected during the pharmaceutical review of the medical prescription. The nursing staff in charge of drug administering must thus be particularly aware of this risk. The potential clinical significance of this type of medication error may be important.

  6. [Medication errors and medication reconciliation from a hospital pharmacist's perspective].

    PubMed

    Amann, Steffen; Kantelhardt, Pamela

    2012-01-01

    To reduce medication errors and other drug-related problems, their systematic discovery, documentation and evaluation is essential. The web-based documentation database ADKA-DokuPIK enables both the documentation and the publication of annotated individual cases and, moreover, systematic errors or accumulations of risk drugs may be determined. Medication reconciliation is another important component to increase safety in drug therapy. Hospital pharmacists may support and significantly improve this process. In Germany some initial information from various projects is available. Medication reconciliation performed by hospital pharmacists may significantly increase the completeness and accuracy of medication regimens. Patient counselling together with the necessary drug supply at discharge improves patients' knowledge, closes supply gaps and improves the satisfaction of all parties.

  7. Data sharing in neuroimaging research

    PubMed Central

    Poline, Jean-Baptiste; Breeze, Janis L.; Ghosh, Satrajit; Gorgolewski, Krzysztof; Halchenko, Yaroslav O.; Hanke, Michael; Haselgrove, Christian; Helmer, Karl G.; Keator, David B.; Marcus, Daniel S.; Poldrack, Russell A.; Schwartz, Yannick; Ashburner, John; Kennedy, David N.

    2012-01-01

    Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work should have profound impact on research in cognitive neuroscience and psychiatry, leading to advances in the diagnosis and treatment of psychiatric and neurological disease. A trend toward increased sharing of neuroimaging data has emerged in recent years. Nevertheless, a number of barriers continue to impede momentum. Many researchers and institutions remain uncertain about how to share data or lack the tools and expertise to participate in data sharing. The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing. We review here the motivations for sharing neuroimaging data, the current data sharing landscape, and the sociological or technical barriers that still need to be addressed. The INCF Task Force on Neuroimaging Datasharing, in conjunction with several collaborative groups around the world, has started work on several tools to ease and eventually automate the practice of data sharing. It is hoped that such tools will allow researchers to easily share raw, processed, and derived neuroimaging data, with appropriate metadata and provenance records, and will improve the reproducibility of neuroimaging studies. By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging. PMID:22493576

  8. FMEA: a model for reducing medical errors.

    PubMed

    Chiozza, Maria Laura; Ponzetti, Clemente

    2009-06-01

    Patient safety is a management issue, in view of the fact that clinical risk management has become an important part of hospital management. Failure Mode and Effect Analysis (FMEA) is a proactive technique for error detection and reduction, firstly introduced within the aerospace industry in the 1960s. Early applications in the health care industry dating back to the 1990s included critical systems in the development and manufacture of drugs and in the prevention of medication errors in hospitals. In 2008, the Technical Committee of the International Organization for Standardization (ISO), licensed a technical specification for medical laboratories suggesting FMEA as a method for prospective risk analysis of high-risk processes. Here we describe the main steps of the FMEA process and review data available on the application of this technique to laboratory medicine. A significant reduction of the risk priority number (RPN) was obtained when applying FMEA to blood cross-matching, to clinical chemistry analytes, as well as to point-of-care testing (POCT).

  9. The spectrum of medical errors: when patients sue

    PubMed Central

    Kels, Barry D; Grant-Kels, Jane M

    2012-01-01

    Inarguably medical errors constitute a serious, dangerous, and expensive problem for the twenty-first-century US health care system. This review examines the incidence, nature, and complexity of alleged medical negligence and medical malpractice. The authors hope this will constitute a road map to medical providers so that they can better understand the present climate and hopefully avoid the “Scylla and Charybdis” of medical errors and medical malpractice. Despite some documented success in reducing medical errors, adverse events and medical errors continue to represent an indelible stain upon the practice, reputation, and success of the US health care industry. In that regard, what may be required to successfully attack the unacceptably high severity and volume of medical errors is a locally directed and organized initiative sponsored by individual health care organizations that is coordinated, supported, and guided by state and federal governmental and nongovernmental agencies. PMID:22924008

  10. Medication error prevention in the school setting: a closer look.

    PubMed

    Richmond, Sandra L

    2011-09-01

    Empirical evidence has identified that medication errors occur in the school setting; however, there is little research that identifies medication error prevention strategies specific to the school environment. This article reviews common medication errors that occur in the school setting and presents potential medication prevention strategies, such as developing medication error reporting systems, using technology, reviewing systems and processes that support current medication administration practices, and limiting distractions. The Standards of Professional Performance developed by the National Association of School Nurses identifies the need for school nurses to enhance the quality and effectiveness of their practice. Improving the safety of medication administration and preventing medication errors are examples of how nurses can demonstrate meeting this standard.

  11. Reducing medication errors in critical care: a multimodal approach

    PubMed Central

    Kruer, Rachel M; Jarrell, Andrew S; Latif, Asad

    2014-01-01

    The Institute of Medicine has reported that medication errors are the single most common type of error in health care, representing 19% of all adverse events, while accounting for over 7,000 deaths annually. The frequency of medication errors in adult intensive care units can be as high as 947 per 1,000 patient-days, with a median of 105.9 per 1,000 patient-days. The formulation of drugs is a potential contributor to medication errors. Challenges related to drug formulation are specific to the various routes of medication administration, though errors associated with medication appearance and labeling occur among all drug formulations and routes of administration. Addressing these multifaceted challenges requires a multimodal approach. Changes in technology, training, systems, and safety culture are all strategies to potentially reduce medication errors related to drug formulation in the intensive care unit. PMID:25210478

  12. Knowledge of healthcare professionals about medication errors in hospitals

    PubMed Central

    Abdel-Latif, Mohamed M. M.

    2016-01-01

    Context: Medication errors are the most common types of medical errors in hospitals and leading cause of morbidity and mortality among patients. Aims: The aim of the present study was to assess the knowledge of healthcare professionals about medication errors in hospitals. Settings and Design: A self-administered questionnaire was distributed to randomly selected healthcare professionals in eight hospitals in Madinah, Saudi Arabia. Subjects and Methods: An 18-item survey was designed and comprised questions on demographic data, knowledge of medication errors, availability of reporting systems in hospitals, attitudes toward error reporting, causes of medication errors. Statistical Analysis Used: Data were analyzed with Statistical Package for the Social Sciences software Version 17. Results: A total of 323 of healthcare professionals completed the questionnaire with 64.6% response rate of 138 (42.72%) physicians, 34 (10.53%) pharmacists, and 151 (46.75%) nurses. A majority of the participants had a good knowledge about medication errors concept and their dangers on patients. Only 68.7% of them were aware of reporting systems in hospitals. Healthcare professionals revealed that there was no clear mechanism available for reporting of errors in most hospitals. Prescribing (46.5%) and administration (29%) errors were the main causes of errors. The most frequently encountered medication errors were anti-hypertensives, antidiabetics, antibiotics, digoxin, and insulin. Conclusions: This study revealed differences in the awareness among healthcare professionals toward medication errors in hospitals. The poor knowledge about medication errors emphasized the urgent necessity to adopt appropriate measures to raise awareness about medication errors in Saudi hospitals. PMID:27330261

  13. What Drives Academic Data Sharing?

    PubMed Central

    Fecher, Benedikt; Friesike, Sascha; Hebing, Marcel

    2015-01-01

    Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress. PMID:25714752

  14. Toward efficient medication error reduction: error-reducing information management systems.

    PubMed

    Chung, Kyusuk; Choi, Young B; Moon, Sangho

    2003-12-01

    Hospitals and other health-care providers today are being pressed more than ever to use technologies for reducing medical errors. Particularly, medication errors are likely to increase fast as Americans age. This paper intends to provide a starting point for understanding information technologies and database systems supporting such technologies as Computerized Physician Order Entry (CPOE), Automated Dispensing System (ADS), and Bar Coding System designed to reduce medication errors in hospitals. Although vendors provide the necessary communication software and applications, actions involving governments, technology vendors, pharmaceutical companies, and clinical researchers are needed to put to actual use the applications with a massive potential to significantly reduce medication-related errors.

  15. Frequency of pediatric medication administration errors and contributing factors.

    PubMed

    Ozkan, Suzan; Kocaman, Gulseren; Ozturk, Candan; Seren, Seyda

    2011-01-01

    This study examined the frequency of pediatric medication administration errors and contributing factors. This research used the undisguised observation method and Critical Incident Technique. Errors and contributing factors were classified through the Organizational Accident Model. Errors were made in 36.5% of the 2344 doses that were observed. The most frequent errors were those associated with administration at the wrong time. According to the results of this study, errors arise from problems within the system.

  16. The application of Aronson's taxonomy to medication errors in nursing.

    PubMed

    Johnson, Maree; Young, Helen

    2011-01-01

    Medication administration is a frequent nursing activity that is prone to error. In this study of 318 self-reported medication incidents (including near misses), very few resulted in patient harm-7% required intervention or prolonged hospitalization or caused temporary harm. Aronson's classification system provided an excellent framework for analysis of the incidents with a close connection between the type of error and the change strategy to minimize medication incidents. Taking a behavioral approach to medication error classification has provided helpful strategies for nurses such as nurse-call cards on patient lockers when patients are absent and checking of medication sign-off by outgoing and incoming staff at handover.

  17. Medical error and human factors engineering: where are we now?

    PubMed

    Gawron, Valerie J; Drury, Colin G; Fairbanks, Rollin J; Berger, Roseanne C

    2006-01-01

    The goal of human factors engineering is to optimize the relationship between humans and systems by studying human behavior, abilities, and limitations and using this knowledge to design systems for safe and effective human use. With the assumption that the human component of any system will inevitably produce errors, human factors engineers design systems and human/machine interfaces that are robust enough to reduce error rates and the effect of the inevitable error within the system. In this article, we review the extent and nature of medical error and then discuss human factors engineering tools that have potential applicability. These tools include taxonomies of human and system error and error data collection and analysis methods. Finally, we describe studies that have examined medical error, and on the basis of these studies, present conclusions about how human factors engineering can significantly reduce medical errors and their effects.

  18. Medical error and related factors during internship and residency.

    PubMed

    Ahmadipour, Habibeh; Nahid, Mortazavi

    2015-01-01

    It is difficult to determine the real incidence of medical errors due to the lack of a precise definition of errors, as well as the failure to report them under certain circumstances. We carried out a cross- sectional study in Kerman University of Medical Sciences, Iran in 2013. The participants were selected through the census method. The data were collected using a self-administered questionnaire, which consisted of questions on the participants' demographic data and questions on the medical errors committed. The data were analysed by SPSS 19. It was found that 270 participants had committed medical errors. There was no significant difference in the frequency of errors committed by interns and residents. In the case of residents, the most common error was misdiagnosis and in that of interns, errors related to history-taking and physical examination. Considering that medical errors are common in the clinical setting, the education system should train interns and residents to prevent the occurrence of errors. In addition, the system should develop a positive attitude among them so that they can deal better with medical errors.

  19. The Environmental Context of Patient Safety and Medical Errors

    ERIC Educational Resources Information Center

    Wholey, Douglas; Moscovice, Ira; Hietpas, Terry; Holtzman, Jeremy

    2004-01-01

    The environmental context of patient safety and medical errors was explored with specific interest in rural settings. Special attention was paid to unique features of rural health care organizations and their environment that relate to the patient safety issue and medical errors (including the distribution of patients, types of adverse events…

  20. Emergency department discharge prescription errors in an academic medical center

    PubMed Central

    Belanger, April; Devine, Lauren T.; Lane, Aaron; Condren, Michelle E.

    2017-01-01

    This study described discharge prescription medication errors written for emergency department patients. This study used content analysis in a cross-sectional design to systematically categorize prescription errors found in a report of 1000 discharge prescriptions submitted in the electronic medical record in February 2015. Two pharmacy team members reviewed the discharge prescription list for errors. Open-ended data were coded by an additional rater for agreement on coding categories. Coding was based upon majority rule. Descriptive statistics were used to address the study objective. Categories evaluated were patient age, provider type, drug class, and type and time of error. The discharge prescription error rate out of 1000 prescriptions was 13.4%, with “incomplete or inadequate prescription” being the most commonly detected error (58.2%). The adult and pediatric error rates were 11.7% and 22.7%, respectively. The antibiotics reviewed had the highest number of errors. The highest within-class error rates were with antianginal medications, antiparasitic medications, antacids, appetite stimulants, and probiotics. Emergency medicine residents wrote the highest percentage of prescriptions (46.7%) and had an error rate of 9.2%. Residents of other specialties wrote 340 prescriptions and had an error rate of 20.9%. Errors occurred most often between 10:00 am and 6:00 pm.

  1. Clinical Inertia and Outpatient Medical Errors

    DTIC Science & Technology

    2005-01-01

    having the disease • Believe disease is not serious • Low health literacy • Cost of medication • Too many medicationsMedication side effects • Poor...Scientific Sessions; 1997 Jun 21–24; Boston, MA. 21. Wagner EH, Sandhu N, Newton KM, et al. Effect of improved glycemic control on health care costs and...adverse events, disability, death, and excess medical care costs . This paper addresses three specific objectives: (1) to present a conceptual model of

  2. Medication Errors in Cardiopulmonary Arrest and Code-Related Situations.

    PubMed

    Flannery, Alexander H; Parli, Sara E

    2016-01-01

    PubMed/MEDLINE (1966-November 2014) was searched to identify relevant published studies on the overall frequency, types, and examples of medication errors during medical emergencies involving cardiopulmonary resuscitation and related situations, and the breakdown by type of error. The overall frequency of medication errors during medical emergencies, specifically situations related to resuscitation, is highly variable. Medication errors during such emergencies, particularly cardiopulmonary resuscitation and surrounding events, are not well characterized in the literature but may be more frequent than previously thought. Depending on whether research methods included database mining, simulation, or prospective observation of clinical practice, reported occurrence of medication errors during cardiopulmonary resuscitation and surrounding events has ranged from less than 1% to 50%. Because of the chaos of the resuscitation environment, errors in prescribing, dosing, preparing, labeling, and administering drugs are prone to occur. System-based strategies, such as infusion pump policies and code cart management, as well as personal strategies exist to minimize medication errors during emergency situations.

  3. Adverse Drug Events caused by Serious Medication Administration Errors

    PubMed Central

    Sawarkar, Abhivyakti; Keohane, Carol A.; Maviglia, Saverio; Gandhi, Tejal K; Poon, Eric G

    2013-01-01

    OBJECTIVE To determine how often serious or life-threatening medication administration errors with the potential to cause patient harm (or potential adverse drug events) result in actual patient harm (or adverse drug events (ADEs)) in the hospital setting. DESIGN Retrospective chart review of clinical events that transpired following observed medication administration errors. BACKGROUND Medication errors are common at the medication administration stage for hospitalized patients. While many of these errors are considered capable of causing patient harm, it is not clear how often patients are actually harmed by these errors. METHODS In a previous study where 14,041 medication administrations in an acute-care hospital were directly observed, investigators discovered 1271 medication administration errors, of which 133 had the potential to cause serious or life-threatening harm to patients and were considered serious or life-threatening potential ADEs. In the current study, clinical reviewers conducted detailed chart reviews of cases where a serious or life-threatening potential ADE occurred to determine if an actual ADE developed following the potential ADE. Reviewers further assessed the severity of the ADE and attribution to the administration error. RESULTS Ten (7.5% [95% C.I. 6.98, 8.01]) actual adverse drug events or ADEs resulted from the 133 serious and life-threatening potential ADEs, of which 6 resulted in significant, three in serious, and one life threatening injury. Therefore 4 (3% [95% C.I. 2.12, 3.6]) serious and life threatening potential ADEs led to serious or life threatening ADEs. Half of the ten actual ADEs were caused by dosage or monitoring errors for anti-hypertensives. The life threatening ADE was caused by an error that was both a transcription and a timing error. CONCLUSION Potential ADEs at the medication administration stage can cause serious patient harm. Given previous estimates of serious or life-threatening potential ADE of 1.33 per 100

  4. [Communication of medical errors to patients: questions and tools].

    PubMed

    Bascuñán, María Luz; Arriagada, Ana María

    2016-09-01

    For several years and in many different ways, medical errors have been studied. As expected, the majority of efforts have been directed to prevent clinical errors during the different phases of health care. Nevertheless, less attention has been given to what happens when a negative effect has already occurred. The present work describes the doubts and difficulties that doctors deal with when facing an error and to describe the communicational tools that the literature offers to cope with them. The definition of medical error was the starting point that was used to later analyze the evidence about what, why and how to inform medical errors from an ethical and technical point of view. In the light of new legal exigencies, communicational and health protocols are revised, distinguishing those that are used for conveying bad news and medical errors. The importance of the ethical and communicational formation of the professionals is emphasized, identifying certain hindering aspects of the medical culture. This culture promotes an idea of the doctor as a professional who knows everything, does not make mistakes and acts in isolation. These do not reflect personal attributes in the professional and in the health team, required for a good professional practice.

  5. Adverse drug events and medication errors: detection and classification methods.

    PubMed

    Morimoto, T; Gandhi, T K; Seger, A C; Hsieh, T C; Bates, D W

    2004-08-01

    Investigating the incidence, type, and preventability of adverse drug events (ADEs) and medication errors is crucial to improving the quality of health care delivery. ADEs, potential ADEs, and medication errors can be collected by extraction from practice data, solicitation of incidents from health professionals, and patient surveys. Practice data include charts, laboratory, prescription data, and administrative databases, and can be reviewed manually or screened by computer systems to identify signals. Research nurses, pharmacists, or research assistants review these signals, and those that are likely to represent an ADE or medication error are presented to reviewers who independently categorize them into ADEs, potential ADEs, medication errors, or exclusions. These incidents are also classified according to preventability, ameliorability, disability, severity, stage, and responsible person. These classifications, as well as the initial selection of incidents, have been evaluated for agreement between reviewers and the level of agreement found ranged from satisfactory to excellent (kappa = 0.32-0.98). The method of ADE and medication error detection and classification described is feasible and has good reliability. It can be used in various clinical settings to measure and improve medication safety.

  6. Medical errors and clinical risk management: state of the art.

    PubMed

    La Pietra, L; Calligaris, L; Molendini, L; Quattrin, R; Brusaferro, S

    2005-12-01

    Medical errors represent a serious public health problem and pose a threat to patient safety. All patients are potentially vulnerable, therefore medical errors are costly from a human, economic, and social viewpoint. The present report aims not only to provide an overview of the problem on the basis of the published literature, but also to stress the importance of adopting standard terminology and classifications, fundamental tools for researchers to obtain valid and reliable methods for error identification and reporting. In fact, agreement on standard definitions allows comparison of data in different contexts. Errors can be classified according to their outcome, the setting where they take place (inpatient, outpatient), the kind of procedure involved (medication, surgery, etc.) or the probability of occurring (high, low). Error categories are analysed taking into consideration their prevalence, avoidance and associated factors as well as the different strategies for detecting medical errors. Incident reporting and documentation of near-misses are described as useful sources of information, and Healthcare Failure Mode Effect Analysis (HFMEA) and Root Cause Analysis (RCA) are seen as powerful methods for process analysis. Furthermore, means to increase patient safety are considered in the broader context of clinical risk management. New approaches in the field of medical errors are aimed at minimizing the recurrence of avoidable patterns associated with higher error rate. A system approach and a blame-free environment, aimed at better organizational performances, lead to much better results than focusing on individuals. Furthermore, use of technology, information accessibility, communication, patient collaboration and multi-professional team-work are successful strategies to reach the goal of patient safety within healthcare organizations.

  7. The Impact of Medical Interpretation Method on Time and Errors

    PubMed Central

    Kapelusznik, Luciano; Prakash, Kavitha; Gonzalez, Javier; Orta, Lurmag Y.; Tseng, Chi-Hong; Changrani, Jyotsna

    2007-01-01

    Background Twenty-two million Americans have limited English proficiency. Interpreting for limited English proficient patients is intended to enhance communication and delivery of quality medical care. Objective Little is known about the impact of various interpreting methods on interpreting speed and errors. This investigation addresses this important gap. Design Four scripted clinical encounters were used to enable the comparison of equivalent clinical content. These scripts were run across four interpreting methods, including remote simultaneous, remote consecutive, proximate consecutive, and proximate ad hoc interpreting. The first 3 methods utilized professional, trained interpreters, whereas the ad hoc method utilized untrained staff. Measurements Audiotaped transcripts of the encounters were coded, using a prespecified algorithm to determine medical error and linguistic error, by coders blinded to the interpreting method. Encounters were also timed. Results Remote simultaneous medical interpreting (RSMI) encounters averaged 12.72 vs 18.24 minutes for the next fastest mode (proximate ad hoc) (p = 0.002). There were 12 times more medical errors of moderate or greater clinical significance among utterances in non-RSMI encounters compared to RSMI encounters (p = 0.0002). Conclusions Whereas limited by the small number of interpreters involved, our study found that RSMI resulted in fewer medical errors and was faster than non-RSMI methods of interpreting. PMID:17957418

  8. A classification of errors in lay comprehension of medical documents

    PubMed Central

    Keselman, Alla; Smith, Catherine Arnott

    2012-01-01

    Emphasis on participatory medicine requires that patients and consumers participate in tasks traditionally reserved for healthcare providers. This includes reading and comprehending medical documents, often but not necessarily in the context of interacting with Personal Health Records (PHRs). Research suggests that while giving patients access to medical documents has many benefits (e.g., improved patient-provider communication), lay people often have difficulty understanding medical information. Informatics can address the problem by developing tools that support comprehension; this requires in-depth understanding of the nature and causes of errors that lay people make when comprehending clinical documents. The objective of this study was to develop a classification scheme of comprehension errors, based on lay individuals’ retellings of two documents containing clinical text: a description of a clinical trial and a typical office visit note. While not comprehensive, the scheme can serve as a foundation of further development of a taxonomy of patients’ comprehension errors. Eighty participants, all healthy volunteers, read and retold two medical documents. A data-driven content analysis procedure was used to extract and classify retelling errors. The resulting hierarchical classification scheme contains nine categories and twenty-three subcategories. The most common error made by the participants involved incorrectly recalling brand names of medications. Other common errors included misunderstanding clinical concepts, misreporting the objective of a clinical research study and physician’s findings during a patient’s visit, and confusing and misspelling clinical terms. A combination of informatics support and health education is likely to improve the accuracy of lay comprehension of medical documents. PMID:22925723

  9. Strategies to reduce medication errors in ambulatory practice.

    PubMed Central

    Adubofour, Kwabena O. M.; Keenan, Craig R.; Daftary, Ashok; Mensah-Adubofour, Josepha; Dachman, William D.

    2004-01-01

    Medication errors generally refer to mistakes made in the processes of ordering, transcribing, dispensing, administering or monitoring of pharmaceutical agents used in clinical practice. The Institute of Medicine report, To Err Is Human: Building a Safer Health System, has helped raise public awareness surrounding the issue of patient safety within our hospitals. A number of legislative and regulatory steps have resulted in hospital authorities putting in place various systems to allow for error reporting and prevention. Medication errors are being closely scrutinized as part of these hospital-based efforts. Most Americans, however, receive their healthcare in the ambulatory primary care setting. Primary care physicians are involved in the writing of several million prescriptions annually. The steps underway in our hospitals to reduce medication errors should occur concurrently with steps to increase awareness of this problem in the out-patient setting. This article provides an overview of strategies that can be adopted by primary care physicians to decrease medication errors in ambulatory practice. PMID:15622685

  10. Medication safety in neonatal care: a review of medication errors among neonates

    PubMed Central

    Krzyzaniak, Natalia; Bajorek, Beata

    2016-01-01

    Objective: The objective of this study was to describe the medication errors in hospitalized patients, comparing those in neonates with medication errors across the age spectrum. Method: In tier 1, PubMed, Embase and Google Scholar were searched, using selected MeSH terms relating to hospitalized paediatric, adult and elderly populations. Tier 2 involved a search of the same electronic databases for literature relating to hospitalized neonatal patients. Results: A total of 58 articles were reviewed. Medication errors were well documented in each patient group. Overall, prescribing and administration errors were most commonly identified across each population, and mostly related to errors in dosing. Errors due to patient misidentification and overdosing were particularly prevalent in neonates, with 47% of administration errors involving at least tenfold overdoses. Unique errors were identified in elderly patients, comprising duplication of therapy and unnecessary prescribing of medicines. Overall, the medicines most frequently identified with error across each patient group included: heparin, antibiotics, insulin, morphine and parenteral nutrition. While neonatal patients experience the same types of medication errors as other hospitalized patients, the medication-use process within this group is more complex and has greater consequences resulting from error. Suggested strategies to help overcome medication error most commonly involved the integration of a clinical pharmacist into the treating team. Conclusion: This review highlights that each step of the medication-use process is prone to error across the age spectrum. Further research is required to develop targeted strategies relevant to specific patient groups that integrate key pharmacy services into wards. PMID:27298721

  11. Developing control charts to review and monitor medication errors.

    PubMed

    Ciminera, J L; Lease, M P

    1992-03-01

    There is a need to monitor reported medication errors in a hospital setting. Because the quantity of errors vary due to external reporting, quantifying the data is extremely difficult. Typically, these errors are reviewed using classification systems that often have wide variations in the numbers per class per month. The authors recommend the use of control charts to review historical data and to monitor future data. The procedure they have adopted is a modification of schemes using absolute (i.e., positive) values of successive differences to estimate the standard deviation when only single incidence values are available in time rather than sample averages, and when many successive differences may be zero.

  12. Characteristics associated with post-discharge medication errors

    PubMed Central

    Mixon, Amanda S.; Myers, Amy P.; Leak, Cardella L.; Mary Lou Jacobsen, J.; Cawthon, Courtney; Goggins, Kathryn M.; Nwosu, Samuel; Schildcrout, Jonathan S.; Schnelle, John F.; Speroff, Theodore; Kripalani, Sunil

    2014-01-01

    Objective To examine the association of patient- and medication-related factors with post-discharge medication errors. Patients and Methods The Vanderbilt Inpatient Cohort Study (VICS) includes adults hospitalized with acute coronary syndromes (ACS) and/or acute decompensated heart failure (ADHF). We measured health literacy, subjective numeracy, marital status, cognition, social support, education, income, depression, global health status, and medication adherence in patients enrolled between October 2011 and August 2012. We used binomial logistic regression to determine predictors of discordance between the discharge medication list and patient-reported list during post-discharge medication review. Results Among 471 patients, mean age was 59 years; mean total number of medications reported was 12; and 17% had inadequate or marginal health literacy. Half (51%) of patients had ≥1 one discordant medication (i.e., appeared either on the discharge or patient-reported list but not both); 27% failed to report a medication on their discharge list; and 36% reported a medication not on their discharge list. Additionally, 59% had a misunderstanding in indication, dose, or frequency in a cardiac medication. In multivariable analyses, higher subjective numeracy (Odds Ratio (OR)=0.81, 95% Confidence Interval (CI) 0.67-0.98) was associated with lower odds of having discordant medications. For cardiac medications, participants with higher health literacy (OR=0.84, CI 0.74-0.95), higher subjective numeracy (OR=0.77, CI 0.63-0.95), and who were female (OR=0.60, CI 0.46-0.78) had lower odds of misunderstandings in indication, dose, or frequency. Conclusion Medication errors are present in approximately half of patients following hospital discharge and are more common among patients with lower numeracy or health literacy. PMID:24998906

  13. Errors in medical literature: not a question of impact.

    PubMed

    Costantino, Giorgio; Casazza, Giovanni; Cernuschi, Giulia; Solbiati, Monica; Birocchi, Simone; Ceriani, Elisa; Duca, Piergiorgio; Montano, Nicola

    2013-03-01

    The editorial and peer-review processes should guarantee readers as to the reliability of published data. The first step of these processes is to check for errors. The aim of our study was to look for the presence of objective errors in consecutive articles published on three of the most authoritative clinical journals. Two reviewers evaluated the presence of any error in 200 consecutive original articles containing at least two tables, allowing a reanalysis of the data, published between October 2010 and April 2011. Error was considered any action different from what was planned. Errors were listed as: methodological, numerical and slips. They were considered as severe if numbers in the abstract were completely different from numbers reported in the full text. Among the 125 articles included in the study, 102 (82 %, 95 % CI 74-88 %) contained some kind of error, even multiple. Nine articles (7 %, 95 % CI 3-13 %) contained one slip, 92 articles (74 %, 95 % CI 65-81 %) contained at least one numerical error, and 22 articles (18 %, 95 % CI 11-25 %) contained one methodological error. Five articles (4 %, 95 % CI 1-9 %) contained one serious error. None of the errors retrieved (0 %, 95 % CI 0-2 %) would have changed the results of the studies. Most of the articles published in the most important medical journals present mistakes. Our results could be a clue to editorial and peer review systems system weaknesses. A debate within the scientific medical community about these systems, and possible alternative adjustments are needed.

  14. Data Sharing from a Policy Perspective

    ERIC Educational Resources Information Center

    Cheville, R. Alan

    2016-01-01

    This paper addresses questions of data sharing from the perspective of a former NSF program officer. A brief comparison of policy and research perspectives is made to highlight different values in these two communities. Data sharing is framed as one means to support dialog between researchers and those involved in policy. Other uses of data…

  15. Win-win data sharing in neuroscience.

    PubMed

    Ascoli, Giorgio A; Maraver, Patricia; Nanda, Sumit; Polavaram, Sridevi; Armañanzas, Rubén

    2017-01-31

    Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users.

  16. The impact of sound speed errors on medical ultrasound imaging.

    PubMed

    Anderson, M E; McKeag, M S; Trahey, G E

    2000-06-01

    The results of a quantitative study of the impact of sound speed errors on the spatial resolution and amplitude sensitivity of a commercial medical ultrasound scanner are presented in the context of their clinical significance. The beamforming parameters of the scanner were manipulated to produce sound speed errors ranging over +/-8% while imaging a wire target and an attenuating, speckle-generating phantom. For the wire target, these errors produced increases in lateral beam width of up to 320% and reductions in peak echo amplitude of up to 10.5 dB. In the speckle-generating phantom, these errors produced increases in speckle intensity correlation cell area of up to 92% and reductions in mean speckle brightness of up to 5.6 dB. These results are applied in statistical analyses of two detection tasks of clinical relevance. The first is of low contrast lesion detectability, predicting the changes in the correct decision probability as a function of lesion size, contrast, and sound speed error. The second is of point target detectability, predicting the changes in the correct decision probability as function of point target reflectivity and sound speed error. Representative results of these analyses are presented and their implications for clinical imaging are discussed. In general, sound speed errors have a more significant impact on point target detectability over lesion detectability by these analyses, producing up to a 22% reduction in correct decisions for a typical error.

  17. Medication Errors in the Southeast Asian Countries: A Systematic Review

    PubMed Central

    Salmasi, Shahrzad; Khan, Tahir Mehmood; Hong, Yet Hoi; Ming, Long Chiau; Wong, Tin Wui

    2015-01-01

    Background Medication error (ME) is a worldwide issue, but most studies on ME have been undertaken in developed countries and very little is known about ME in Southeast Asian countries. This study aimed systematically to identify and review research done on ME in Southeast Asian countries in order to identify common types of ME and estimate its prevalence in this region. Methods The literature relating to MEs in Southeast Asian countries was systematically reviewed in December 2014 by using; Embase, Medline, Pubmed, ProQuest Central and the CINAHL. Inclusion criteria were studies (in any languages) that investigated the incidence and the contributing factors of ME in patients of all ages. Results The 17 included studies reported data from six of the eleven Southeast Asian countries: five studies in Singapore, four in Malaysia, three in Thailand, three in Vietnam, one in the Philippines and one in Indonesia. There was no data on MEs in Brunei, Laos, Cambodia, Myanmar and Timor. Of the seventeen included studies, eleven measured administration errors, four focused on prescribing errors, three were done on preparation errors, three on dispensing errors and two on transcribing errors. There was only one study of reconciliation error. Three studies were interventional. Discussion The most frequently reported types of administration error were incorrect time, omission error and incorrect dose. Staff shortages, and hence heavy workload for nurses, doctor/nurse distraction, and misinterpretation of the prescription/medication chart, were identified as contributing factors of ME. There is a serious lack of studies on this topic in this region which needs to be addressed if the issue of ME is to be fully understood and addressed. PMID:26340679

  18. Medication error report: Intrathecal administration of labetalol during obstetric anesthesia

    PubMed Central

    Laha, Baisakhi; Hazra, Avijit

    2015-01-01

    Labetalol, a combined alfa and beta-adrenergic receptor antagonist, is used as an antihypertensive drug. We report a case of an acute rise in blood pressure and lower limb pain due to the inadvertent intrathecal administration of labetalol, mistaking it for bupivacaine, during obstetric anesthesia. The situation was rescued by converting to general anesthesia. The cesarean delivery was uneventful, and mother as well as newborn child showed no ill-effect. This particular medication error was attributable to a failure on the part of the doctors administering the injection to read and cross-check medication labels and the practice of keeping multiple injections together. In the absence of an organized medication error reporting system and action on that basis, such events may recur in future. PMID:26288484

  19. An Overview of ISS Human Research Data Sharing

    NASA Technical Reports Server (NTRS)

    Morshedi, Pasha

    2015-01-01

    This presentation is an attempt to clarify several aspects of the current procedures, tools, and challenges of human data sharing for ISS flight activities. There are several binary variables to consider with respect to human spaceflight data sharing: Medical vs. Research, Active Flight vs. Non-Flight, Tactical vs. Supplemental, Prospective vs. Retrospective. This presentation will address each of these variables and how they determine which processes and mechanisms are used both to document and facilitate human data sharing. Some of these variables will likely be so obvious that they induce eye rolls. Please bear with us. We're trying to make these slides fairly rudimentary for a wide, (eventually) international audience. Other distinctions are made if data originated from a NASA vs. IP crewmember. Those distinctions will be made apparent when needed.

  20. Promoting patient safety and preventing medical error in emergency departments.

    PubMed

    Schenkel, S

    2000-11-01

    An estimated 108,000 people die each year from potentially preventable iatrogenic injury. One in 50 hospitalized patients experiences a preventable adverse event. Up to 3% of these injuries and events take place in emergency departments. With long and detailed training, morbidity and mortality conferences, and an emphasis on practitioner responsibility, medicine has traditionally faced the challenges of medical error and patient safety through an approach focused almost exclusively on individual practitioners. Yet no matter how well trained and how careful health care providers are, individuals will make mistakes because they are human. In general medicine, the study of adverse drug events has led the way to new methods of error detection and error prevention. A combination of chart reviews, incident logs, observation, and peer solicitation has provided a quantitative tool to demonstrate the effectiveness of interventions such as computer order entry and pharmacist order review. In emergency medicine (EM), error detection has focused on subjects of high liability: missed myocardial infarctions, missed appendicitis, and misreading of radiographs. Some system-level efforts in error prevention have focused on teamwork, on strengthening communication between pharmacists and emergency physicians, on automating drug dosing and distribution, and on rationalizing shifts. This article reviews the definitions, detection, and presentation of error in medicine and EM. Based on review of the current literature, recommendations are offered to enhance the likelihood of reduction of error in EM practice.

  1. Sensitivity analysis of geometric errors in additive manufacturing medical models.

    PubMed

    Pinto, Jose Miguel; Arrieta, Cristobal; Andia, Marcelo E; Uribe, Sergio; Ramos-Grez, Jorge; Vargas, Alex; Irarrazaval, Pablo; Tejos, Cristian

    2015-03-01

    Additive manufacturing (AM) models are used in medical applications for surgical planning, prosthesis design and teaching. For these applications, the accuracy of the AM models is essential. Unfortunately, this accuracy is compromised due to errors introduced by each of the building steps: image acquisition, segmentation, triangulation, printing and infiltration. However, the contribution of each step to the final error remains unclear. We performed a sensitivity analysis comparing errors obtained from a reference with those obtained modifying parameters of each building step. Our analysis considered global indexes to evaluate the overall error, and local indexes to show how this error is distributed along the surface of the AM models. Our results show that the standard building process tends to overestimate the AM models, i.e. models are larger than the original structures. They also show that the triangulation resolution and the segmentation threshold are critical factors, and that the errors are concentrated at regions with high curvatures. Errors could be reduced choosing better triangulation and printing resolutions, but there is an important need for modifying some of the standard building processes, particularly the segmentation algorithms.

  2. [Medical reviews of claims for damages and errors in urology].

    PubMed

    Lent, V; Smentkowski, U; Weber, B; Brummeisl, W

    2013-09-01

    In liability law, a medical review is considered to be an expert opinion that is provided at the request of those involved (patient or physician) of a course of treatment. It must be carried out according to defined criteria with the aim of providing a plausible basis for arbitration. This is achieved by means of an objective determination of the facts, a reasonable assessment of the error(s) and (where appropriate) a realistic description of the injury involved. The following fields should be covered in a concise review: conditions and procedures applied to the review, criteria to be used in the review, types of error that are possible during the treatment, assessment of the treatment errors committed, possible treatment errors that can occur in urology, conclusions to be drawn from the review. In summary, a medical assessment carried out in the course of claims for damages should provide a balanced assessment that takes into account the confidential relationship between the physician and patient. This means that the review procedure must be performed under the best possible conditions for professional standards and care.

  3. Evaluation of Perioperative Medication Errors and Adverse Drug Events

    PubMed Central

    Nanji, Karen C.; Patel, Amit; Shaikh, Sofia; Seger, Diane L.; Bates, David W.

    2015-01-01

    Background The purpose of this study is to assess the rates of perioperative medication errors (MEs) and adverse drug events (ADEs) as percentages of medication administrations, evaluate their root causes, and formulate targeted solutions to prevent them. Methods In this prospective observational study, anesthesia-trained study staff (anesthesiologists/nurse anesthetists) observed randomly selected operations at a 1,046 bed tertiary care academic medical center to identify MEs and ADEs over eight months. Retrospective chart abstraction was performed to flag events that were missed by observation. All events subsequently underwent review by two independent reviewers. Primary outcomes were the incidence of MEs and ADEs. Results A total of 277 operations were observed with 3,671 medication administrations of which 193 (5.3%, 95% CI 4.5 to 6.0) involved a ME and/or ADE. Of these, 153 (79.3%) were preventable and 40 (20.7%) were non-preventable. The events included 153 (79.3%) errors and 91 (47.2%) ADEs. While 32 (20.9%) of the errors had little potential for harm, 51 (33.3%) led to an observed ADE and an additional 70 (45.8%) had the potential for patient harm. Of the 153 errors, 99 (64.7%) were serious, 51 (33.3%) were significant and 3 (2.0%) were life-threatening. Conclusions One in twenty perioperative medication administrations included an ME and/or ADE. More than one third of the MEs led to observed ADEs, and the remaining two thirds had the potential for harm. These rates are markedly higher than those reported by retrospective surveys. Specific solutions exist which have the potential to decrease the incidence of perioperative MEs. PMID:26501385

  4. Impact of clinical pharmacy interventions on medication error nodes.

    PubMed

    Chamoun, Nibal R; Zeenny, Rony; Mansour, Hanine

    2016-12-01

    Background Pharmacists' involvement in patient care has improved the quality of care and reduced medication errors. However, this has required a lot of work that could not have been accomplished without documentation of interventions. Several means of documenting errors have been proposed in the literature but without a consistent comprehensive process. Recently, the American College of Clinical Pharmacy (ACCP) recognized that pharmacy practice lacks a consistent process for direct patient care and discussed several options for a pharmaceutical care plan, essentially encompassing medication therapy assessment, development and implementation of a pharmaceutical care plan and finally evaluation of the outcome. Therefore, as per the recommendations of ACCP, we sought to retrospectively analyze interventions by grouping them according to medication related problems (MRP) and their nodes such as prescribing; administering; monitoring; documenting and dispensing. Objective The aim of this study is to report interventions according to medication error (ME) nodes and show the impact of pharmacy interventions in reducing MRPs. Setting The study was conducted at the cardiology and infectious diseases services at a teaching hospital located in Beirut, Lebanon. Methods Intervention documentation was completed by pharmacy students on infectious diseases and cardiology rotations then reviewed by clinical pharmacists with respective specialties. Before data analysis, a new pharmacy reporting sheet was developed in order to link interventions according to MRP. Then, MRPs were grouped in the five ME nodes. During the documentation process, whether MRP had reached the patient or not may have not been reported which prevented the classification to the corresponding medication error nodes as ME. Main outcome Reduction in medication related problems across all ME nodes. Results A total of n = 1174 interventions were documented. N = 1091 interventions were classified as MRPs

  5. Global data sharing in Alzheimer's disease research

    PubMed Central

    Toga, Arthur W.; Bhatt, Priya; Ashish, Naveen

    2015-01-01

    Many investigators recognize the importance of data sharing, however they lack the capability to share data. Research efforts could be vastly expanded if Alzheimer's disease data from around the world was linked by a global infrastructure that would enable scientists to access and utilize a secure network of data with thousands of study participants at risk for or already suffering from the disease. We discuss the benefits of data sharing, impediments today and solutions to achieving this on a global scale. We introduce the Global Alzheimer's Association Interactive Network (GAAIN), a novel approach to create a global network of Alzheimer's disease data, researchers, analytical tools and computational resources to better our understanding of this debilitating condition. GAAIN has addressed the key impediments to Alzheimer's disease data sharing with its model and approach. It presents practical, promising, yet data owner sensitive data sharing solutions. PMID:26523713

  6. The economics of health care quality and medical errors.

    PubMed

    Andel, Charles; Davidow, Stephen L; Hollander, Mark; Moreno, David A

    2012-01-01

    Hospitals have been looking for ways to improve quality and operational efficiency and cut costs for nearly three decades, using a variety of quality improvement strategies. However, based on recent reports, approximately 200,000 Americans die from preventable medical errors including facility-acquired conditions and millions may experience errors. In 2008, medical errors cost the United States $19.5 billion. About 87 percent or $17 billion were directly associated with additional medical cost, including: ancillary services, prescription drug services, and inpatient and outpatient care, according to a study sponsored by the Society for Actuaries and conducted by Milliman in 2010. Additional costs of $1.4 billion were attributed to increased mortality rates with $1.1 billion or 10 million days of lost productivity from missed work based on short-term disability claims. The authors estimate that the economic impact is much higher, perhaps nearly $1 trillion annually when quality-adjusted life years (QALYs) are applied to those that die. Using the Institute of Medicine's (IOM) estimate of 98,000 deaths due to preventable medical errors annually in its 1998 report, To Err Is Human, and an average of ten lost years of life at $75,000 to $100,000 per year, there is a loss of $73.5 billion to $98 billion in QALYs for those deaths--conservatively. These numbers are much greater than those we cite from studies that explore the direct costs of medical errors. And if the estimate of a recent Health Affairs article is correct-preventable death being ten times the IOM estimate-the cost is $735 billion to $980 billion. Quality care is less expensive care. It is better, more efficient, and by definition, less wasteful. It is the right care, at the right time, every time. It should mean that far fewer patients are harmed or injured. Obviously, quality care is not being delivered consistently throughout U.S. hospitals. Whatever the measure, poor quality is costing payers and

  7. Preventable Medical Errors Driven Modeling of Medical Best Practice Guidance Systems.

    PubMed

    Ou, Andrew Y-Z; Jiang, Yu; Wu, Po-Liang; Sha, Lui; Berlin, Richard B

    2017-01-01

    In a medical environment such as Intensive Care Unit, there are many possible reasons to cause errors, and one important reason is the effect of human intellectual tasks. When designing an interactive healthcare system such as medical Cyber-Physical-Human Systems (CPHSystems), it is important to consider whether the system design can mitigate the errors caused by these tasks or not. In this paper, we first introduce five categories of generic intellectual tasks of humans, where tasks among each category may lead to potential medical errors. Then, we present an integrated modeling framework to model a medical CPHSystem and use UPPAAL as the foundation to integrate and verify the whole medical CPHSystem design models. With a verified and comprehensive model capturing the human intellectual tasks effects, we can design a more accurate and acceptable system. We use a cardiac arrest resuscitation guidance and navigation system (CAR-GNSystem) for such medical CPHSystem modeling. Experimental results show that the CPHSystem models help determine system design flaws and can mitigate the potential medical errors caused by the human intellectual tasks.

  8. Frequency, types, and direct related costs of medication errors in an academic nephrology ward in Iran.

    PubMed

    Gharekhani, Afshin; Kanani, Negin; Khalili, Hossein; Dashti-Khavidaki, Simin

    2014-09-01

    Medication errors are ongoing problems among hospitalized patients especially those with multiple co-morbidities and polypharmacy such as patients with renal diseases. This study evaluated the frequency, types and direct related cost of medication errors in nephrology ward and the role played by clinical pharmacists. During this study, clinical pharmacists detected, managed, and recorded the medication errors. Prescribing errors including inappropriate drug, dose, or treatment durations were gathered. To assess transcription errors, the equivalence of nursery charts and physician's orders were evaluated. Administration errors were assessed by observing drugs' preparation, storage, and administration by nurses. The changes in medications costs after implementing clinical pharmacists' interventions were compared with the calculated medications costs if the medication errors were continued up to patients' discharge time. More than 85% of patients experienced medication error. The rate of medication errors was 3.5 errors per patient and 0.18 errors per ordered medication. More than 95% of medication errors occurred at prescription nodes. Most common prescribing errors were omission (26.9%) or unauthorized drugs (18.3%) and low drug dosage or frequency (17.3%). Most of the medication errors happened on cardiovascular drugs (24%) followed by vitamins and electrolytes (22.1%) and antimicrobials (18.5%). The number of medication errors was correlated with the number of ordered medications and length of hospital stay. Clinical pharmacists' interventions decreased patients' direct medication costs by 4.3%. About 22% of medication errors led to patients' harm. In conclusion, clinical pharmacists' contributions in nephrology wards were of value to prevent medication errors and to reduce medications cost.

  9. Hospital medication errors in a pharmacovigilance system in Colombia.

    PubMed

    Machado Alba, Jorge Enrique; Moreno Gutiérrez, Paula Andrea; Moncada Escobar, Juan Carlos

    2015-11-01

    Objetivos: analizar los errores de medicacion reportados en un sistema de farmacovigilancia en 26 hospitales para pacientes del sistema de salud de Colombia. Métodos: estudio retrospectivo que evaluo las bases de datos sistematizadas de reportes de errores de medicacion entre el 1 de enero de 2008 y el 12 de septiembre de 2013 de los medicamentos dispensados por la empresa Audifarma S.A a hospitales de Colombia. Se utilizo la clasificacion taxonomica del National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP). El analisis de los datos se realizo mediante SPSS 22.0 para Windows Se determino como nivel de significacion estadistica una p < 0,05. Resultados: se reportaron 9.062 EM en 45 servicios farmaceuticos hospitalarios. El 51,9% (n = 4.707) de los errores realmente se produjeron, de los cuales el 12,0% (n = 567) afectaron al paciente (categorias C a I) y causaron dano (categorias E a I) a 17 (0,36%). El proceso implicado en los EM ocurridos (categorias B a I) con mayor frecuencia fue la prescripcion (n = 1.758, 37,3%), seguido por la dispensacion (n = 1.737, 36,9%), la transcripcion (n = 970, 20,6%) y, por ultimo, la administracion (n = 242, 5,1%). Los errores relacionados con los procesos de administracion aumentaban 45,2 veces el riesgo de que el medicamento erroneo afectara al paciente (IC 95% 20,2-100,9). Conclusiones: es necesario aumentar la cobertura de los sistemas de reporte de errores de medicacion, y crear estrategias para su prevencion, especialmente en la etapa de administracion del medicamento.

  10. Trust, vulnerable populations, and genetic data sharing

    PubMed Central

    Arias, Jalayne J.; Pham-Kanter, Genevieve; Gonzalez, Rosa; Campbell, Eric G.

    2015-01-01

    Recent policies and proposed regulations, including the Notice of Proposed Rulemaking for the Common Rule and the 2014 NIH Genetic Data Sharing Policy, seek to improve research subject protections. Protections for subjects whose genetic data is shared are critical to reduce risks such as loss of confidentiality, stigma, and discrimination. In the article ‘It depends whose data are being shared: considerations for genomic data sharing policies’, Robinson et al. provide a response to our article, ‘The Growth and Gaps of Genetic Data Sharing Policies’. Robinson et al. highlight the importance of individual and group preferences. In this article, we extend the conversation on models for improving protections which will mitigate consequences for individuals and groups that are vulnerable to stigma and discrimination. PMID:27774227

  11. A study of medication errors in a tertiary care hospital

    PubMed Central

    Patel, Nrupal; Desai, Mira; Shah, Samdih; Patel, Prakruti; Gandhi, Anuradha

    2016-01-01

    Objective: To determine the nature and types of medication errors (MEs), to evaluate occurrence of drug-drug interactions (DDIs), and assess rationality of prescription orders in a tertiary care teaching hospital. Materials and Methods: A prospective, observational study was conducted in General Medicine and Pediatric ward of Civil Hospital, Ahmedabad during October 2012 to January 2014. MEs were categorized as prescription error, dispensing error, and administration error (AE). The case records and treatment charts were reviewed. The investigator also accompanied the staff nurse during the ward rounds and interviewed patients or care taker to gather information, if necessary. DDIs were assessed by Medscape Drug Interaction Checker software (version 4.4). Rationality of prescriptions was assessed using Phadke's criteria. Results: A total of 1109 patients (511 in Medicine and 598 in Pediatric ward) were included during the study period. Total number of MEs was 403 (36%) of which, 195 (38%) were in Medicine and 208 (35%) were in Pediatric wards. The most common ME was PEs 262 (65%) followed by AEs 126 (31%). A potential significant DDIs were observed in 191 (17%) and serious DDIs in 48 (4%) prescriptions. Majority of prescriptions were semirational 555 (53%) followed by irrational 317 (30%), while 170 (17%) prescriptions were rational. Conclusion: There is a need to establish ME reporting system to reduce its incidence and improve patient care and safety. PMID:27843792

  12. 77 FR 4277 - Proposed Data Sharing Activity

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-27

    ... Bureau of the Census Proposed Data Sharing Activity AGENCY: Bureau of the Census, Department of Commerce... the Department of Commerce proposes to share business data for statistical purposes. More specifically, the Census Bureau will share selected business data of multi-location businesses with the U.S....

  13. 75 FR 18514 - Developing Guidance on Naming, Labeling, and Packaging Practices to Reduce Medication Errors...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-12

    ... Practices to Reduce Medication Errors; Public Workshop; Request for Comments AGENCY: Food and Drug... Packaging Practices to Reduce Medication Errors.'' The purpose of the public workshop is to initiate... practices to develop proprietary names to reduce medication errors. The input from this workshop will...

  14. Data sharing by scientists: Practices and perceptions

    USGS Publications Warehouse

    Tenopir, C.; Allard, S.; Douglass, K.; Aydinoglu, A.U.; Wu, L.; Read, E.; Manoff, M.; Frame, M.

    2011-01-01

    Background: Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers - data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings: A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance: Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound

  15. Data Sharing by Scientists: Practices and Perceptions

    PubMed Central

    Tenopir, Carol; Allard, Suzie; Douglass, Kimberly; Aydinoglu, Arsev Umur; Wu, Lei; Read, Eleanor; Manoff, Maribeth; Frame, Mike

    2011-01-01

    Background Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers – data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data

  16. Interorganizational collaboration in public health data sharing.

    PubMed

    Casey, Colleen; Li, Jianling; Berry, Michele

    2016-09-19

    Purpose The purpose of this paper is to analyze the institutional and social forces that influence collaborative data sharing practices in cross-sector interorganizational networks. The analysis focusses on the data sharing practices between professionals in the transportation and public health sectors, areas prioritized for collaborative action to improve public health. Design/methodology/approach A mixed methods design is utilized. Electronic surveys were sent to 57 public health and 157 transportation professionals in a large major metropolitan area in the USA (response rate 39.7 percent). Focus groups were held with 12 organizational leaders representing professionals in both sectors. Findings The application of the institutional-social capital framework suggests that professional specialization and organizational forces make it challenging for professionals to develop the cross-sector relationships necessary for cross-sector collaborative data sharing. Research limitations/implications The findings suggest that developing the social relationships necessary for cross-sector collaboration may be resource intensive. Investments are necessary at the organizational level to overcome the professional divides that limit the development of cross-sector relationships critical for collaborative data sharing. The results are limited to the data sharing practices of professionals in one metropolitan area. Originality/value Despite mandates and calls for increased cross-sector collaboration to improve public health, such efforts often fail to produce true collaboration. The study's value is that it adds to the theoretical conceptualization of collaboration and provides a deeper understanding as to why collaborative action remains difficult to achieve. Future study of collaboration must consider the interaction between professional specialization and the social relationships necessary for success.

  17. Medication review and transitions of care: a case report of a decade-old medication error.

    PubMed

    Comer, Rachel; Lizer, Mitsi

    2015-03-01

    A 69-year-old Caucasian male with a 25-year history of paranoid schizophrenia was brought to the emergency department because of violence toward the staff in his nursing facility. He was diagnosed with a urinary tract infection and was admitted to the behavioral health unit for medication stabilization. History included a five-year state psychiatric hospital admission and nursing facility placement. Because of poor cognitive function, the patient was unable to corroborate medication history, so the pharmacy student on rotation performed an in-depth chart review. The review revealed a transcription error in 2003 deleting amantadine 100 mg twice daily and adding amiodarone 100 mg twice daily. Subsequent hospitalization resulted in another transcription error increasing the amiodarone to 200 mg twice daily. All electrocardiograms conducted were negative for atrial fibrillation. Once detected, the consulted cardiologist discontinued the amiodarone, and the primary care provider was notified via letter and discharge papers. An admission four months later revealed that the nursing facility restarted the amiodarone. Amiodarone was discontinued and the facility was again notified. This case reviews how a 10-year-old medication error went undetected in the electronic medical records through numerous medication reconciliations, but was uncovered when a single comprehensive medication review was conducted.

  18. Computerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems

    PubMed Central

    Schiff, G D; Amato, M G; Eguale, T; Boehne, J J; Wright, A; Koppel, R; Rashidee, A H; Elson, R B; Whitney, D L; Thach, T-T; Bates, D W; Seger, A C

    2015-01-01

    Importance Medication computerised provider order entry (CPOE) has been shown to decrease errors and is being widely adopted. However, CPOE also has potential for introducing or contributing to errors. Objectives The objectives of this study are to (a) analyse medication error reports where CPOE was reported as a ‘contributing cause’ and (b) develop ‘use cases’ based on these reports to test vulnerability of current CPOE systems to these errors. Methods A review of medication errors reported to United States Pharmacopeia MEDMARX reporting system was made, and a taxonomy was developed for CPOE-related errors. For each error we evaluated what went wrong and why and identified potential prevention strategies and recurring error scenarios. These scenarios were then used to test vulnerability of leading CPOE systems, asking typical users to enter these erroneous orders to assess the degree to which these problematic orders could be entered. Results Between 2003 and 2010, 1.04 million medication errors were reported to MEDMARX, of which 63 040 were reported as CPOE related. A review of 10 060 CPOE-related cases was used to derive 101 codes describing what went wrong, 67 codes describing reasons why errors occurred, 73 codes describing potential prevention strategies and 21 codes describing recurring error scenarios. Ability to enter these erroneous order scenarios was tested on 13 CPOE systems at 16 sites. Overall, 298 (79.5%) of the erroneous orders were able to be entered including 100 (28.0%) being ‘easily’ placed, another 101 (28.3%) with only minor workarounds and no warnings. Conclusions and relevance Medication error reports provide valuable information for understanding CPOE-related errors. Reports were useful for developing taxonomy and identifying recurring errors to which current CPOE systems are vulnerable. Enhanced monitoring, reporting and testing of CPOE systems are important to improve CPOE safety. PMID:25595599

  19. Multiple Robots Localization Via Data Sharing

    DTIC Science & Technology

    2015-09-01

    LOCALIZATION VIA DATA SHARING by Cheng Leong Ng September 2015 Thesis Advisor: Oleg Yakimenko Co-Advisor: Roberto Cristi THIS PAGE...estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the... data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this

  20. Data Sharing and Dual-Use Issues

    PubMed Central

    Bezuidenhout, Louise

    2016-01-01

    The concept of dual-use encapsulates the potential for well-intentioned, beneficial scientific research to also be misused by a third party for malicious ends. The concept of dual-use challenges scientists to look beyond the immediate outcomes of their research and to develop an awareness of possible future (mis)uses of scientific research. Since 2001 much attention has been paid to the possible need to regulate the dual-use potential of the life sciences. Regulation initiatives fall under two broad categories—those that develop the ethical education of scientists and foster an awareness and responsibility of dual-use issues, and those which assess the regulation of information being generated by current research. Both types of initiatives are premised on a cautious, risk-adverse philosophy which advocates careful examination of all future endpoints of research endeavors. This caution advocated within initiatives such as pre-publication review of journal articles contrasts to the obligation to share underpinning data sharing discussions. As the dual-use debate has yet to make a significant impact on data sharing discussions (and vice versa) it is possible that these two areas of knowledge control may present areas of ethical conflict for scientists, and thus need to be more closely examined. This paper examines the tension between the obligation to share exemplified by data sharing principles and the concerns raised by the risk-cautious culture of the dual-use debates. The paper concludes by reflecting on the issues of responsibility as raised by dual-use as relating to data sharing, such as the chain of custody for shared data. PMID:21805213

  1. Data sharing system for lithography APC

    NASA Astrophysics Data System (ADS)

    Kawamura, Eiichi; Teranishi, Yoshiharu; Shimabara, Masanori

    2007-03-01

    We have developed a simple and cost-effective data sharing system between fabs for lithography advanced process control (APC). Lithography APC requires process flow, inter-layer information, history information, mask information and so on. So, inter-APC data sharing system has become necessary when lots are to be processed in multiple fabs (usually two fabs). The development cost and maintenance cost also have to be taken into account. The system handles minimum information necessary to make trend prediction for the lots. Three types of data have to be shared for precise trend prediction. First one is device information of the lots, e.g., process flow of the device and inter-layer information. Second one is mask information from mask suppliers, e.g., pattern characteristics and pattern widths. Last one is history data of the lots. Device information is electronic file and easy to handle. The electronic file is common between APCs and uploaded into the database. As for mask information sharing, mask information described in common format is obtained via Wide Area Network (WAN) from mask-vender will be stored in the mask-information data server. This information is periodically transferred to one specific lithography-APC server and compiled into the database. This lithography-APC server periodically delivers the mask-information to every other lithography-APC server. Process-history data sharing system mainly consists of function of delivering process-history data. In shipping production lots to another fab, the product-related process-history data is delivered by the lithography-APC server from the shipping site. We have confirmed the function and effectiveness of data sharing systems.

  2. EOS situational data shared service mechanism

    NASA Astrophysics Data System (ADS)

    Lv, L.; Xu, Q.; Lan, C. Z.; Shi, Q. S.; Lu, W. J.; Wu, W. Q.

    2016-11-01

    With the rapid development of aerospace and remote sensing technology, various high-resolution Earth Observation Systems (EOS) are widely used in economic, social, military and other fields and playing an increasingly prominent role in the construction of Digital Earth and national strategic planning. The normal operation of the system is the premise of high quality data acquisition. Compared with the ground observation mode, EOS itself and the surrounding environment are more complex, and its operation control mainly depends on all kinds of Space Situational Awareness (SSA) data acquisition and analysis. SSA data has more extensive sources, larger volume, stronger time-effectiveness and more complicated structure than traditional geographical spatial data. For effective data sharing and utilization, combined with the analysis of data types and structures, a SSA data sharing identity language SSDSML is designed based on the extensible mark-up language XML, which realizes a comprehensive description of satellites and their attributes, space environment, ground stations, etc. Then EOS situational data shared service mechanism is established and provides a powerful data support for the normal operation of the system.

  3. Voluntary Electronic Reporting of Medical Errors and Adverse Events

    PubMed Central

    Milch, Catherine E; Salem, Deeb N; Pauker, Stephen G; Lundquist, Thomas G; Kumar, Sanjaya; Chen, Jack

    2006-01-01

    OBJECTIVE To describe the rate and types of events reported in acute care hospitals using an electronic error reporting system (e-ERS). DESIGN Descriptive study of reported events using the same e-ERS between January 1, 2001 and September 30, 2003. SETTING Twenty-six acute care nonfederal hospitals throughout the U.S. that voluntarily implemented a web-based e-ERS for at least 3 months. PARTICIPANTS Hospital employees and staff. INTERVENTION A secure, standardized, commercially available web-based reporting system. RESULTS Median duration of e-ERS use was 21 months (range 3 to 33 months). A total of 92,547 reports were obtained during 2,547,154 patient-days. Reporting rates varied widely across hospitals (9 to 95 reports per 1,000 inpatient-days; median=35). Registered nurses provided nearly half of the reports; physicians contributed less than 2%. Thirty-four percent of reports were classified as nonmedication-related clinical events, 33% as medication/infusion related, 13% were falls, 13% as administrative, and 6% other. Among 80% of reports that identified level of impact, 53% were events that reached a patient (“patient events”), 13% were near misses that did not reach the patient, and 14% were hospital environment problems. Among 49,341 patient events, 67% caused no harm, 32% temporary harm, 0.8% life threatening or permanent harm, and 0.4% contributed to patient deaths. CONCLUSIONS An e-ERS provides an accessible venue for reporting medical errors, adverse events, and near misses. The wide variation in reporting rates among hospitals, and very low reporting rates by physicians, requires investigation. PMID:16390502

  4. A structural equation modeling of the factors affecting student nurses' medication errors.

    PubMed

    Valdez, Les Paul; de Guzman, Allan; Escolar-Chua, Rowena

    2013-03-01

    Across medication error literature, much attention has been given to incidence, types, causes and prevention of medication errors. Despite these efforts, medication errors continue to occur among registered and student nurses. Considering the numerous studies on medication errors committed by registered nurses, little is known on the nature of student nurses' medication error. This study employed factor analysis and structural equation modeling to explore the factors affecting medication errors by student nurses. With the participation of 329 junior and senior student nurses recruited from a comprehensive university in the Philippines, five factor dimensions of the causes of student nurses' medication error were identified, namely: In-violation, In-writing, In-excess, In-experience and In-tension. Results of path analysis showed an interaction among these variables. Additionally, poor adherence to the "five rights" was identified as an important mediator between In-violation, In-writing, In-excess, In-experience and In-tension and student nurses' medication error. By developing a model to explain how student nurses' medication errors occur, this study sheds light on the nature of student nurses' medication error and provides a basis for error prevention strategies.

  5. Linking nurse characteristics, team member effectiveness, practice environment, and medication error incidence.

    PubMed

    Fasolino, Tracy; Snyder, Rita

    2012-01-01

    Clinical unit nurse characteristics, practice environment, and team member effectiveness are assumed to play a critical role in medication safety. This study used a multimethod approach to examine the association of these factors with medication errors. Findings suggested that older, more experienced registered nurses made less medication errors. Environment and team member effectiveness were not strongly associated with medication error incidence. Numerous system factors limited implementation and outcomes of this safety study and are discussed.

  6. Near field communications technology and the potential to reduce medication errors through multidisciplinary application

    PubMed Central

    Pegler, Joe; Lehane, Elaine; Livingstone, Vicki; McCarthy, Nora; Sahm, Laura J.; Tabirca, Sabin; O’Driscoll, Aoife; Corrigan, Mark

    2016-01-01

    Background Patient safety requires optimal management of medications. Electronic systems are encouraged to reduce medication errors. Near field communications (NFC) is an emerging technology that may be used to develop novel medication management systems. Methods An NFC-based system was designed to facilitate prescribing, administration and review of medications commonly used on surgical wards. Final year medical, nursing, and pharmacy students were recruited to test the electronic system in a cross-over observational setting on a simulated ward. Medication errors were compared against errors recorded using a paper-based system. Results A significant difference in the commission of medication errors was seen when NFC and paper-based medication systems were compared. Paper use resulted in a mean of 4.09 errors per prescribing round while NFC prescribing resulted in a mean of 0.22 errors per simulated prescribing round (P=0.000). Likewise, medication administration errors were reduced from a mean of 2.30 per drug round with a Paper system to a mean of 0.80 errors per round using NFC (P<0.015). A mean satisfaction score of 2.30 was reported by users, (rated on seven-point scale with 1 denoting total satisfaction with system use and 7 denoting total dissatisfaction). Conclusions An NFC based medication system may be used to effectively reduce medication errors in a simulated ward environment. PMID:28293602

  7. Medication errors in a paediatric teaching hospital in the UK: five years operational experience

    PubMed Central

    Ross, L; Wallace, J; Paton, J; STEPHENSON, T.

    2000-01-01

    BACKGROUND—In the past 10 years, medication errors have come to be recognised as an important cause of iatrogenic disease in hospital patients.
AIMS—To determine the incidence and type of medication errors in a large UK paediatric hospital over a five year period, and to ascertain whether any error prevention programmes had influenced error occurrence.
METHODS—Retrospective review of medication errors documented in standard reporting forms completed prospectively from April 1994 to August 1999. Main outcome measure was incidence of error reporting, including pre- and post-interventions.
RESULTS—Medication errors occurred in 0.15% of admissions (195 errors; one per 662 admissions). While the highest rate occurred in neonatal intensive care (0.98%), most errors occurred in medical wards. Nurses were responsible for most reported errors (59%). Errors involving the intravenous route were commonest (56%), with antibiotics being the most frequent drug involved (44%). Fifteen (8%) involved a tenfold medication error. Although 18 (9.2%) required active patient intervention, 96% of errors were classified as minor at the time of reporting. Forty eight per cent of parents were not told an error had occurred. The introduction of a policy of double checking all drugs dispensed by pharmacy staff led to a reduction in errors from 9.8 to 6 per year. Changing the error reporting form to make it less punitive increased the error reporting rate from 32.7 to 38 per year.
CONCLUSION—The overall medication error rate was low. Despite this there are clear opportunities to make system changes to reduce error rates further.
 PMID:11087283

  8. Data Sharing & Publishing at Nature Publishing Group

    NASA Astrophysics Data System (ADS)

    VanDecar, J. C.; Hrynaszkiewicz, I.; Hufton, A. L.

    2015-12-01

    In recent years, the research community has come to recognize that upon-request data sharing has important limitations1,2. The Nature-titled journals feel that researchers have a duty to share data without undue qualifications, in a manner that allows others to replicate and build upon their published findings. Historically, the Nature journals have been strong supporters of data deposition in communities with existing data mandates, and have required data sharing upon request in all other cases. To help address some of the limitations of upon-request data sharing, the Nature titles have strengthened their existing data policies and forged a new partnership with Scientific Data, to promote wider data sharing in discoverable, citeable and reusable forms, and to ensure that scientists get appropriate credit for sharing3. Scientific Data is a new peer-reviewed journal for descriptions of research datasets, which works with a wide of range of public data repositories4. Articles at Scientific Data may either expand on research publications at other journals or may be used to publish new datasets. The Nature Publishing Group has also signed the Joint Declaration of Data Citation Principles5, and Scientific Data is our first journal to include formal data citations. We are currently in the process of adding data citation support to our various journals. 1 Wicherts, J. M., Borsboom, D., Kats, J. & Molenaar, D. The poor availability of psychological research data for reanalysis. Am. Psychol. 61, 726-728, doi:10.1037/0003-066x.61.7.726 (2006). 2 Vines, T. H. et al. Mandated data archiving greatly improves access to research data. FASEB J. 27, 1304-1308, doi:10.1096/fj.12-218164 (2013). 3 Data-access practices strengthened. Nature 515, 312, doi:10.1038/515312a (2014). 4 More bang for your byte. Sci. Data 1, 140010, doi:10.1038/sdata.2014.10 (2014). 5 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. (FORCE11, San Diego, CA, 2014).

  9. Public-Private Partnerships for Data Sharing: A Dynamic Environment

    DTIC Science & Technology

    2000-04-01

    public - private partnerships focused on data sharing. Many different practical case studies, models of data sharing partnering, were analyzed to understand differences and similarities in the practical approaches to data sharing, especially geospatial data sharing. This report can provide useful information to federal policy makers about how to more effectively partner with non-federal partners. It should also be of interest to state and local governments, non-governmental organizations, researchers, and others who are interested in data sharing partnerships,

  10. Data sharing in the Undiagnosed Diseases Network

    PubMed Central

    Brownstein, Catherine A.; Holm, Ingrid A.; Ramoni, Rachel; Goldstein, David B.

    2015-01-01

    The Undiagnosed Diseases Network (UDN), builds on the successes of the Undiagnosed Diseases Program at the National Institutes of Health (NIH UDP). Through support from the NIH Common Fund, a coordinating center, six additional clinical sites, and two sequencing cores comprise the UDN. The objectives of the UDN are to: (1) improve the level of diagnosis and care for patients with undiagnosed diseases through the development of common protocols designed by an enlarged community of investigators across the Network; (2) facilitate research into the etiology of undiagnosed diseases, by collecting and sharing standardized, high-quality clinical and laboratory data including genotyping, phenotyping, and environmental exposure data; and (3) create an integrated and collaborative research community across multiple clinical sites, and among laboratory and clinical investigators, to investigate the pathophysiology of these rare diseases and to identify options for patient management. Broad-based data sharing is at the core of achieving these objectives, and the UDN is establishing the policies and governance structure to support broad data sharing. PMID:26220576

  11. Challenges to complete and useful data sharing.

    PubMed

    Mbuagbaw, Lawrence; Foster, Gary; Cheng, Ji; Thabane, Lehana

    2017-02-14

    Data sharing from clinical trials is one way of promoting fair and transparent conduct of clinical trials. It would maximise the use of data and permit the exploration of additional hypotheses. On the other hand, the quality of secondary analyses cannot always be ascertained, and it may be unfair to investigators who have expended resources to collect data to bear the additional burden of sharing. As the discussion on the best modalities of sharing data evolves, some of the practical issues that may arise need to be addressed. In this paper, we discuss issues which impede the use of data even when sharing should be possible: (1) multicentre studies requiring consent from all the investigators in each centre; (2) remote access platforms with software limitations and Internet requirements; (3) on-site data analysis when data cannot be moved; (4) governing bodies for data generated in one jurisdiction and analysed in another; (5) using programmatic data collected as part of routine care; (6) data collected in multiple languages; (7) poor data quality. We believe these issues apply to all primary data and cause undue difficulties in conducting analysis even when there is some willingness to share. They can be avoided by anticipating the possibility of sharing any clinical data and pre-emptively removing or addressing restrictions that limit complete sharing. These issues should be part of the data sharing discussion.

  12. Searching for the Final Answer: Factors Contributing to Medication Administration Errors.

    ERIC Educational Resources Information Center

    Pape, Tess M.

    2001-01-01

    Causal factors contributing to errors in medication administration should be thoroughly investigated, focusing on systems rather than individual nurses. Unless systemic causes are addressed, many errors will go unreported for fear of reprisal. (Contains 42 references.) (SK)

  13. Medical errors in neonatal intensive care unit at Benha University Hospital, Egypt.

    PubMed

    El-Shazly, Ahmed N; Al-Azzouny, Mahmoud A; Soliman, Doaa R; Abed, Neveen T; Attia, Sameh S

    2017-02-21

    This study was conducted in the neonatal intensive care unit of Benha University Hospital, Egypt from 1 August 2012 to the 31 January 2013 to identify medical errors and to determine the risk factors and consequences of these errors. Errors were detected by follow-up of neonates and review of reports including nursing followup sheets, resident progression notes and investigation reports. We detected 3819 errors that affected 97% of neonates. Types of errors included 403 medication errors (10.55% of total errors), 652 errors in daily routine procedures (17.07%), 1042 errors in invasive procedures (27.28%), 68 errors in nutrition (1.78%), 63 equipment errors (1.64%), 260 administration errors (6.8%), 656 staffing errors (17.18%), 107 environmental errors (2.8%), 448 infection control errors (11.73%) and 120 nosocomial infection errors (3.14%). Medical errors were high in low birth weight, low gestational age neonates and increased with duration of admission.

  14. Global Medical Device Nomenclature: The Concept for Reducing Device-Related Medical Errors

    PubMed Central

    Anand, K; Saini, SK; Singh, BK; Veermaram, C

    2010-01-01

    In the medical device field, there are a number of players, having quite different responsibilities and levels of understanding of the processes, but all with one common interest, that of ensuring the availability of sound medical devices to the general public. To assist in this very important process, there is a need for a common method for describing and identifying these medical devices in an unambiguous manner. The Global Medical Device Nomenclature (GMDN) now provides, for the first time, an international tool for identifying all medical devices, at the generic level, in a meaningful manner that can be understood by all users. Prior to the GMDN, many nomenclature systems existed, all built upon different structures, and used locally or nationally for special purposes, with unusual approaches. These diverse systems, although often workable in their own right, have had no impact on improving the overall situation of providing a common platform, whereby, medical devices could be correctly identified and the related data safely exchanged between the involved parties. Work by standard organizations such as, CEN (European Committee for Standardization) and ISO (International Organization for Standardization), from 1993 to 1996, resulted in a standard that specified a structure for a new nomenclature, for medical devices. In this article we are trying to explain GMDN as the prime method to reduce medical device errors, and to understand the concept of GMDN, to regulate the medical device throughout the globe. Here we also make an attempt to explain various aspects of the GMDN system, such as, the process of development of the GMDN-CEN report, purpose, benefits, and their structural considerations. In addition, there will be an explanation of the coding system, role of the GMDN agency, and their utilization in the unique device identification (UDI) System. Finally, the current area of focus and vision for the future are also mentioned. PMID:21264103

  15. The Importance of Medication Errors Reporting in Improving the Quality of Clinical Care Services

    PubMed Central

    Elden, Nesreen Mohamed Kamal; Ismail, Amira

    2016-01-01

    Introduction: Medication errors have significant implications on patient safety. Error detection through an active management and effective reporting system discloses medication errors and encourages safe practices. Objectives: To improve patient safety through determining and reducing the major causes of medication errors (MEs), after applying tailored preventive strategies. Methodology: A pre-test, post-test study was conducted on all inpatients at a 177 bed hospital where all medication procedures in each ward were monitored by a clinical pharmacist. The patient files were reviewed, as well. Error reports were submitted to a hospital multidisciplinary committee to identify major causes of errors. Accordingly, corrective interventions that consisted of targeted training programs for nurses and physicians were conducted. Results: Medication errors were higher during ordering/prescription stage (38.1%), followed by administration phase (20.9%). About 45% of errors reached the patients: 43.5% were harmless and 1.4% harmful. 7.7% were potential errors and more than 47% could be prevented. After the intervention, error rates decreased from (6.7%) to (3.6%) (P≤0.001). Conclusion: The role of a ward based clinical pharmacist with a hospital multidisciplinary committee was effective in recognizing, designing and implementing tailored interventions for reduction of medication errors. A systematic approach is urgently needed to decrease organizational susceptibility to errors, through providing required resources to monitor, analyze and implement effective interventions. PMID:27045415

  16. Being a Victim of Medical Error in Brazil: An (Un)Real Dilemma

    PubMed Central

    Mendonça, Vitor Silva; Custódio, Eda Marconi

    2016-01-01

    Medical error stems from inadequate professional conduct that is capable of producing harm to life or exacerbating the health of another, whether through act or omission. This situation has become increasingly common in Brazil and worldwide. In this study, the aim was to understand what being the victim of medical error is like and to investigate the circumstances imposed on this condition of victims in Brazil. A semi-structured interview was conducted with twelve people who had gone through situations of medical error in their lives, creating a space for narratives of their experiences and deep reflection on the phenomenon. The concept of medical error has a negative connotation, often being associated with the incompetence of a medical professional. Medical error in Brazil is demonstrated by low-quality professional performance and represents the current reality of the country because of the common lack of respect and consideration for patients. Victims often remark on their loss of identity, as their social functions have been interrupted and they do not expect to regain such. It was found, however, little assumption of error in the involved doctors’ discourses and attitudes, which felt a need to judge the medical conduct in an attempt to assert their rights. Medical error in Brazil presents a punitive character and is little discussed in medical and scientific circles. The stigma of medical error is closely connected to the value and cultural judgments of the country, making it difficult to accept, both by victims and professionals. PMID:27403461

  17. Being a Victim of Medical Error in Brazil: An (Un)Real Dilemma.

    PubMed

    Mendonça, Vitor Silva; Custódio, Eda Marconi

    2016-06-23

    Medical error stems from inadequate professional conduct that is capable of producing harm to life or exacerbating the health of another, whether through act or omission. This situation has become increasingly common in Brazil and worldwide. In this study, the aim was to understand what being the victim of medical error is like and to investigate the circumstances imposed on this condition of victims in Brazil. A semi-structured interview was conducted with twelve people who had gone through situations of medical error in their lives, creating a space for narratives of their experiences and deep reflection on the phenomenon. The concept of medical error has a negative connotation, often being associated with the incompetence of a medical professional. Medical error in Brazil is demonstrated by low-quality professional performance and represents the current reality of the country because of the common lack of respect and consideration for patients. Victims often remark on their loss of identity, as their social functions have been interrupted and they do not expect to regain such. It was found, however, little assumption of error in the involved doctors' discourses and attitudes, which felt a need to judge the medical conduct in an attempt to assert their rights. Medical error in Brazil presents a punitive character and is little discussed in medical and scientific circles. The stigma of medical error is closely connected to the value and cultural judgments of the country, making it difficult to accept, both by victims and professionals.

  18. Diagnostic Error in Medical Education: Where Wrongs Can Make Rights

    ERIC Educational Resources Information Center

    Eva, Kevin W.

    2009-01-01

    This paper examines diagnostic error from an educational perspective. Rather than addressing the question of how educators in the health professions can help learners avoid error, however, the literature reviewed leads to the conclusion that educators should be working to induce error in learners, leading them to short term pain for long term…

  19. Prevalence and risk factors for medication reconciliation errors during hospital admission in elderly patients.

    PubMed

    Rodríguez Vargas, Blanca; Delgado Silveira, Eva; Iglesias Peinado, Irene; Bermejo Vicedo, Teresa

    2016-10-01

    Background Care transitions are risk points for medication discrepancies, especially in the elderly. Objective This study was undertaken to assess prevalence and describe medication reconciliation errors during admission in elderly patients and to analyze associated risk factors. We also evaluate the effect of these errors on the length of hospital stay. Setting General surgery, orthopedics, internal medicines and infectious diseases departments of a 1070-bed Spanish teaching hospital. Method This is a prospective observational study. Patients >65 years and taking ≥5 medications were randomly selected from those admitted to hospital. The pharmacist obtained the best possible medication history based on medical records, medical notes from patients' previous admissions to hospital, "brown bag" review, community care prescriptions, and comprehensive patient interviews. It was compared to current inpatient prescription to detect unintentional discrepancies (discrepancy with no apparent clinical explanation), which were reported to the physician. When the physician accepted the discrepancy by changing the medication order, it was recorded as a medication reconciliation error and classified by type of error. Several variables were analyzed as possible risk/protective factors. Main outcome measure Is prevalence of medication reconciliation errors at admission. Results Reconciliation was performed on 206 patients. Medication reconciliation errors occurred in 49.5 % (102/206) of patients. 1996 medications were recorded, and 359 had unintentional discrepancies (56.0 % (201/359) medication reconciliation errors). The most common was omission (65.1 %). Identified risk factors were as follows: physician experience, number of pre-admission prescribed medications, and previous surgeries. Computerized order entry system was a protective factor. Conclusion Medication reconciliation errors occur in almost half of the elderly patients at admission, especially omissions. Risk

  20. Database Maintenance, Data Sharing Policy, Collaboration

    SciTech Connect

    Papale, D.; Agarwal, D. A; Baldocchi, D. D.; Cook, Robert B; Fisher, J. B.; van Ingen, C.

    2012-01-01

    Scientific questions of today are now more global than ever before. The answers to these questions are buried within multiple disciplines and across a diverse range of scientists and institutions. The expanse and complexity of data required by researchers often exceed the means of a single scientist. Data sharing in the form of its distributed collection and analysis is increasingly common. Collective research now takes place in what may be called 'collaboratories' or in 'centers without walls' (Clery 2006). Creating effective artifacts, which enable scientists to collaborate on data analyses, continues to be a significant challenge for today's science activities. It is rare that providing a file system abstraction on distributed data enables acceleration of scientific discoveries. By explicitly identifying and addressing the different requirements for data contributors, data curators, and data consumers, we can create a data management architecture which enables the creation of datasets that evolve over time with growing and changing data, data annotations, participants, and use rules. This involves also a crucial contribution by the teams and people collecting the data, that in addition to carefully acquire and process the measurements and to be ready to share their measurements within the scientific community, need to follow general rules that help to make their data well documented and safely stored and to maximize visibility to their works and sites. In this chapter, we provide examples of the types of functions and capabilities typically provided within the data management systems, focusing in particular on databases structures and characteristics, data practices, and data user services. Finally, the importance and advantages of collective efforts like data sharing for synthesis activities and the relative data policy options are discussed and analyzed.

  1. [Medical error--professional liability for malpractice in Bosnia and Herzegovina].

    PubMed

    Pranjić, Nurka

    2009-01-01

    Medical care is frequently compared to aviation, as many of the factors which lead to errors in both fields are similar. In this article we review the literature on such events and discuss the ethical, legal and practical aspects of civil liability in the case of medical error. Ethics, professional policy and the law, as well as the relevant empirical literature, suggest that timely and candid disclosure should be standard practice. In harmonization to ethical codex, the physician is obliged to inform the patient about the origin of medical error. Civil liability is one of the most important parts of law that regulates health care service. Medical chambers could be having a very important role in alternative methods of medical error disciplinary screening proceedings. Guidelines for disclosure of medical error to patients, and their families if necessary, are proposed.

  2. Sleep Loss in Resident Physicians: The Cause of Medical Errors?

    PubMed Central

    Kramer, Milton

    2010-01-01

    This review begins with the history of the events starting with the death of Libby Zion that lead to the Bell Commission, that the studied her death and made recommendations for improvement that were codified into law in New York state as the 405 law that the ACGME essentially adopted in putting a cap on work hours and establishing the level of staff supervision that must be available to residents in clinical situations particularly the emergency room and acute care units. A summary is then provided of the findings of the laboratory effects of total sleep deprivation including acute total sleep loss and the consequent widespread physiologic alterations, and of the effects of selective and chronic sleep loss. Generally the sequence of responses to increasing sleep loss goes from mood changes to cognitive effects to performance deficits. In the laboratory situation, deficits resulting from sleep deprivation are clearly and definitively demonstrable. Sleep loss in the clinical situation is usually sleep deprivation superimposed on chronic sleep loss. An examination of questionnaire studies, the literature on reports of sleep loss, studies of the reduction of work hours on performance as well as observational and a few interventional studies have yielded contradictory and often equivocal results. The residents generally find they feel better working fewer hours but improvements in patient care are often not reported or do not occur. A change in the attitude of the resident toward his role and his patient has not been salutary. Decreasing sleep loss should have had a positive effect on patient care in reducing medical error, but this remains to be unequivocally demonstrated. PMID:21188260

  3. Outcomes of a Failure Mode and Effects Analysis for medication errors in pediatric anesthesia.

    PubMed

    Martin, Lizabeth D; Grigg, Eliot B; Verma, Shilpa; Latham, Gregory J; Rampersad, Sally E; Martin, Lynn D

    2017-03-28

    The Institute of Medicine has called for development of strategies to prevent medication errors, which are one important cause of preventable harm. Although the field of anesthesiology is considered a leader in patient safety, recent data suggest high medication error rates in anesthesia practice. Unfortunately, few error prevention strategies for anesthesia providers have been implemented. Using Toyota Production System quality improvement methodology, a multidisciplinary team observed 133 h of medication practice in the operating room at a tertiary care freestanding children's hospital. A failure mode and effects analysis was conducted to systematically deconstruct and evaluate each medication handling process step and score possible failure modes to quantify areas of risk. A bundle of five targeted countermeasures were identified and implemented over 12 months. Improvements in syringe labeling (73 to 96%), standardization of medication organization in the anesthesia workspace (0 to 100%), and two-provider infusion checks (23 to 59%) were observed. Medication error reporting improved during the project and was subsequently maintained. After intervention, the median medication error rate decreased from 1.56 to 0.95 per 1000 anesthetics. The frequency of medication error harm events reaching the patient also decreased. Systematic evaluation and standardization of medication handling processes by anesthesia providers in the operating room can decrease medication errors and improve patient safety.

  4. Frequency of medication errors in an emergency department of a large teaching hospital in southern Iran

    PubMed Central

    Vazin, Afsaneh; Zamani, Zahra; Hatam, Nahid

    2014-01-01

    This study was conducted with the purpose of determining the frequency of medication errors (MEs) occurring in tertiary care emergency department (ED) of a large academic hospital in Iran. The incidence of MEs was determined through the disguised direct observation method conducted by a trained observer. A total of 1,031 medication doses administered to 202 patients admitted to the tertiary care ED were observed over a course of 54 6-hour shifts. Following collection of the data and analysis of the errors with the assistance of a clinical pharmacist, frequency of errors in the different stages was reported and analyzed in SPSS-21 software. For the 202 patients and the 1,031 medication doses evaluated in the present study, 707 (68.5%) MEs were recorded in total. In other words, 3.5 errors per patient and almost 0.69 errors per medication are reported to have occurred, with the highest frequency of errors pertaining to cardiovascular (27.2%) and antimicrobial (23.6%) medications. The highest rate of errors occurred during the administration phase of the medication use process with a share of 37.6%, followed by errors of prescription and transcription with a share of 21.1% and 10% of errors, respectively. Omission (7.6%) and wrong time error (4.4%) were the most frequent administration errors. The less-experienced nurses (P=0.04), higher patient-to-nurse ratio (P=0.017), and the morning shifts (P=0.035) were positively related to administration errors. Administration errors marked the highest share of MEs occurring in the different medication use processes. Increasing the number of nurses and employing the more experienced of them in EDs can help reduce nursing errors. Addressing the shortcomings with further research should result in reduction of MEs in EDs. PMID:25525391

  5. 75 FR 33629 - Developing Guidance on Naming, Labeling, and Packaging Practices to Reduce Medication Errors...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-14

    ... Practices to Reduce Medication Errors; Public Workshop; Change of Meeting Location AGENCY: Food and Drug... Practices to Reduce Medication Errors.'' A new address is given for those attending the workshop. DATES: The... on describing practices for naming, labeling, and packaging drugs and biologics to reduce...

  6. Characteristics of medication errors made by students during the administration phase: a descriptive study.

    PubMed

    Wolf, Zane Robinson; Hicks, Rodney; Serembus, Joanne Farley

    2006-01-01

    Faculty concentrate on teaching nursing students about safe medication administration practices and on challenging them to develop skills for calculating drug dose and intravenous flow rate problems. In spite of these efforts, students make medication errors and little is known about the attributes of these errors. Therefore, this descriptive, retrospective, secondary analysis study examined the characteristics of medication errors made by nursing students during the administration phase of the medication use process as reported to the MEDMARX, a database operated by the United States Pharmacopeia through the Patient Safety Program. Fewer than 3% of 1,305 student-made medication errors occurring in the administration process resulted in patient harm. Most were omission errors, followed by errors of giving the wrong dose (amount) of a drug. The most prevalent cause of the errors was students' performance deficits, whereas inexperience and distractions were leading contributing factors. The antimicrobial therapeutic class of drugs and the 10 subcategories within this class were the most commonly reported medications involved. Insulin was the highest-frequency single medication reported. Overall, this study shows that students' administration errors may be more frequent than suspected. Faculty might consider curriculum revisions that incorporate medication use safety throughout each course in nursing major courses.

  7. Reflection of medical error highlighted on media in Turkey: A retrospective study

    PubMed Central

    Isik, Oguz; Bayin, Gamze; Ugurluoglu, Ozgur

    2016-01-01

    Objective: This study was performed with the aim of identifying how news on medical errors have be transmitted, and how the types, reasons, and conclusions of medical errors have been reflected to by the media in Turkey. Methods: A content analysis method was used in the study, and in this context, the data for the study was acquired by scanning five newspapers with the top editions on the national basis between the years 2012 and 2015 for the news about medical errors. Some specific selection criteria was used for the scanning of resulted news, and 116 news items acquired as a result of all the eliminations. Results: According to the results of the study; the vast majority of medical errors (40.5%) transmitted by the news resulted from the negligence of the medical staff. The medical errors were caused by physicians in the ratio of 74.1%, they most commonly occurred in state hospitals (31.9%). Another important result of the research was that medical errors resulted in either patient death to a large extent (51.7%), or permanent damage and disability to patients (25.0%). Conclusion: The news concerning medical errors provided information about the types, causes, and the results of these medical errors. It also reflected the media point of view on the issue. The examination of the content of the medical errors reported by the media were important which calls for appropriate interventions to avoid and minimize the occurrence of medical errors by improving the healthcare delivery system. PMID:27882026

  8. Social Media, Education and Data Sharing

    NASA Astrophysics Data System (ADS)

    King, T. A.; Walker, R. J.; Masters, A.

    2011-12-01

    Social media is a blending of technology and social interactions which allows for the creation and exchange of user-generated content. Social media started as conversations between groups of people, now companies are using social media to communicate with customers and politicians use it to communicate with their constituents. Social media is now finding uses in the science communities. This adoption is driven by the expectation of students that technology will be an integral part of their research and that it will match the technology they use in their social lifes. Students are using social media to keep informed and collaborate with others. They have also replaced notepads with smart mobile devices. We have been introducing social media components into Virtual Observatories as a way to quickly access and exchange information with a tap or a click. We discuss the use of Quick Response (QR) codes, Digital Object Identifiers (DOIs), unique identifiers, Twitter, Facebook and tiny URL redirects as ways to enable easier sharing of data and information. We also discuss what services and features are needed in a Virtual Observatory to make data sharing with social media possible.

  9. Data Sharing in P2P Systems

    NASA Astrophysics Data System (ADS)

    Hayek, Rabab; Raschia, Guillaume; Valduriez, Patrick; Mouaddib, Noureddine

    In this chapter, we survey P2P data sharing systems. All along, we focus on the evolution from simple file-sharing systems, with limited functionalities, to Peer Data Management Systems (PDMS) that support advanced applications with more sophisticated data management techniques. Advanced P2P applications are dealing with semantically rich data (e.g., XML documents, relational tables), using a high-level SQL-like query language. We start our survey with an overview over the existing P2P network architectures, and the associated routing protocols. Then, we discuss data indexing techniques based on their distribution degree and the semantics they can capture from the underlying data. We also discuss schema management techniques which allow integrating heterogeneous data. We conclude by discussing the techniques proposed for processing complex queries (e.g., range and join queries). Complex query facilities are necessary for advanced applications which require a high level of search expressiveness. This last part shows the lack of querying techniques that allow for an approximate query answering.

  10. Medication Errors in Vietnamese Hospitals: Prevalence, Potential Outcome and Associated Factors

    PubMed Central

    Nguyen, Huong-Thao; Nguyen, Tuan-Dung; van den Heuvel, Edwin R.; Haaijer-Ruskamp, Flora M.; Taxis, Katja

    2015-01-01

    Background Evidence from developed countries showed that medication errors are common and harmful. Little is known about medication errors in resource-restricted settings, including Vietnam. Objectives To determine the prevalence and potential clinical outcome of medication preparation and administration errors, and to identify factors associated with errors. Methods This was a prospective study conducted on six wards in two urban public hospitals in Vietnam. Data of preparation and administration errors of oral and intravenous medications was collected by direct observation, 12 hours per day on 7 consecutive days, on each ward. Multivariable logistic regression was applied to identify factors contributing to errors. Results In total, 2060 out of 5271 doses had at least one error. The error rate was 39.1% (95% confidence interval 37.8%- 40.4%). Experts judged potential clinical outcomes as minor, moderate, and severe in 72 (1.4%), 1806 (34.2%) and 182 (3.5%) doses. Factors associated with errors were drug characteristics (administration route, complexity of preparation, drug class; all p values < 0.001), and administration time (drug round, p = 0.023; day of the week, p = 0.024). Several interactions between these factors were also significant. Nurse experience was not significant. Higher error rates were observed for intravenous medications involving complex preparation procedures and for anti-infective drugs. Slightly lower medication error rates were observed during afternoon rounds compared to other rounds. Conclusions Potentially clinically relevant errors occurred in more than a third of all medications in this large study conducted in a resource-restricted setting. Educational interventions, focusing on intravenous medications with complex preparation procedure, particularly antibiotics, are likely to improve patient safety. PMID:26383873

  11. The approach of Bayesian model indicates media awareness of medical errors

    NASA Astrophysics Data System (ADS)

    Ravichandran, K.; Arulchelvan, S.

    2016-06-01

    This research study brings out the factors behind the increase in medical malpractices in the Indian subcontinent in the present day environment and impacts of television media awareness towards it. Increased media reporting of medical malpractices and errors lead to hospitals taking corrective action and improve the quality of medical services that they provide. The model of Cultivation Theory can be used to measure the influence of media in creating awareness of medical errors. The patient's perceptions of various errors rendered by the medical industry from different parts of India were taken up for this study. Bayesian method was used for data analysis and it gives absolute values to indicate satisfaction of the recommended values. To find out the impact of maintaining medical records of a family online by the family doctor in reducing medical malpractices which creates the importance of service quality in medical industry through the ICT.

  12. Voluntary Medical Incident Reporting Tool to Improve Physician Reporting of Medical Errors in an Emergency Department

    PubMed Central

    Okafor, Nnaemeka G.; Doshi, Pratik B.; Miller, Sara K.; McCarthy, James J.; Hoot, Nathan R.; Darger, Bryan F.; Benitez, Roberto C.; Chathampally, Yashwant G.

    2015-01-01

    Introduction Medical errors are frequently under-reported, yet their appropriate analysis, coupled with remediation, is essential for continuous quality improvement. The emergency department (ED) is recognized as a complex and chaotic environment prone to errors. In this paper, we describe the design and implementation of a web-based ED-specific incident reporting system using an iterative process. Methods A web-based, password-protected tool was developed by members of a quality assurance committee for ED providers to report incidents that they believe could impact patient safety. Results The utilization of this system in one residency program with two academic sites resulted in an increase from 81 reported incidents in 2009, the first year of use, to 561 reported incidents in 2012. This is an increase in rate of reported events from 0.07% of all ED visits to 0.44% of all ED visits. In 2012, faculty reported 60% of all incidents, while residents and midlevel providers reported 24% and 16% respectively. The most commonly reported incidents were delays in care and management concerns. Conclusion Error reporting frequency can be dramatically improved by using a web-based, user-friendly, voluntary, and non-punitive reporting system. PMID:26759657

  13. Obligation towards medical errors disclosure at a tertiary care hospital in Dubai, UAE

    PubMed Central

    Zaghloul, Ashraf Ahmad; Rahman, Syed Azizur; Abou El-Enein, Nagwa Younes

    2016-01-01

    OBJECTIVE: The study aimed to identify healthcare providers’ obligation towards medical errors disclosure as well as to study the association between the severity of the medical error and the intention to disclose the error to the patients and their families. DESIGN: A cross-sectional study design was followed to identify the magnitude of disclosure among healthcare providers in different departments at a randomly selected tertiary care hospital in Dubai. SETTING AND PARTICIPANTS: The total sample size accounted for 106 respondents. Data were collected using a questionnaire composed of two sections namely; demographic variables of the respondents and a section which included variables relevant to medical error disclosure. RESULTS: Statistical analysis yielded significant association between the obligation to disclose medical errors with male healthcare providers (X2 = 5.1), and being a physician (X2 = 19.3). Obligation towards medical errors disclosure was significantly associated with those healthcare providers who had not committed any medical errors during the past year (X2 = 9.8), and any type of medical error regardless the cause, extent of harm (X2 = 8.7). Variables included in the binary logistic regression model were; status (Exp β (Physician) = 0.39, 95% CI 0.16–0.97), gender (Exp β (Male) = 4.81, 95% CI 1.84–12.54), and medical errors during the last year (Exp β (None) = 2.11, 95% CI 0.6–2.3). CONCLUSION: Education and training of physicians about disclosure conversations needs to start as early as medical school. Like the training in other competencies required of physicians, education in communicating about medical errors could help reduce physicians’ apprehension and make them more comfortable with disclosure conversations. PMID:27567766

  14. Clinical research data sharing: what an open science world means for researchers involved in evidence synthesis.

    PubMed

    Ross, Joseph S

    2016-09-20

    The International Committee of Medical Journal Editors (ICMJE) recently announced a bold step forward to require data generated by interventional clinical trials that are published in its member journals to be responsibly shared with external investigators. The movement toward a clinical research culture that supports data sharing has important implications for the design, conduct, and reporting of systematic reviews and meta-analyses. While data sharing is likely to enhance the science of evidence synthesis, facilitating the identification and inclusion of all relevant research, it will also pose key challenges, such as requiring broader search strategies and more thorough scrutiny of identified research. Furthermore, the adoption of data sharing initiatives by the clinical research community should challenge the community of researchers involved in evidence synthesis to follow suit, including the widespread adoption of systematic review registration, results reporting, and data sharing, to promote transparency and enhance the integrity of the research process.

  15. Reduced error signalling in medication-naive children with ADHD: associations with behavioural variability and post-error adaptations

    PubMed Central

    Plessen, Kerstin J.; Allen, Elena A.; Eichele, Heike; van Wageningen, Heidi; Høvik, Marie Farstad; Sørensen, Lin; Worren, Marius Kalsås; Hugdahl, Kenneth; Eichele, Tom

    2016-01-01

    Background We examined the blood-oxygen level–dependent (BOLD) activation in brain regions that signal errors and their association with intraindividual behavioural variability and adaptation to errors in children with attention-deficit/hyperactivity disorder (ADHD). Methods We acquired functional MRI data during a Flanker task in medication-naive children with ADHD and healthy controls aged 8–12 years and analyzed the data using independent component analysis. For components corresponding to performance monitoring networks, we compared activations across groups and conditions and correlated them with reaction times (RT). Additionally, we analyzed post-error adaptations in behaviour and motor component activations. Results We included 25 children with ADHD and 29 controls in our analysis. Children with ADHD displayed reduced activation to errors in cingulo-opercular regions and higher RT variability, but no differences of interference control. Larger BOLD amplitude to error trials significantly predicted reduced RT variability across all participants. Neither group showed evidence of post-error response slowing; however, post-error adaptation in motor networks was significantly reduced in children with ADHD. This adaptation was inversely related to activation of the right-lateralized ventral attention network (VAN) on error trials and to task-driven connectivity between the cingulo-opercular system and the VAN. Limitations Our study was limited by the modest sample size and imperfect matching across groups. Conclusion Our findings show a deficit in cingulo-opercular activation in children with ADHD that could relate to reduced signalling for errors. Moreover, the reduced orienting of the VAN signal may mediate deficient post-error motor adaptions. Pinpointing general performance monitoring problems to specific brain regions and operations in error processing may help to guide the targets of future treatments for ADHD. PMID:26441332

  16. A simple tool for neuroimaging data sharing

    PubMed Central

    Haselgrove, Christian; Poline, Jean-Baptiste; Kennedy, David N.

    2014-01-01

    Data sharing is becoming increasingly common, but despite encouragement and facilitation by funding agencies, journals, and some research efforts, most neuroimaging data acquired today is still not shared due to political, financial, social, and technical barriers to sharing data that remain. In particular, technical solutions are few for researchers that are not a part of larger efforts with dedicated sharing infrastructures, and social barriers such as the time commitment required to share can keep data from becoming publicly available. We present a system for sharing neuroimaging data, designed to be simple to use and to provide benefit to the data provider. The system consists of a server at the International Neuroinformatics Coordinating Facility (INCF) and user tools for uploading data to the server. The primary design principle for the user tools is ease of use: the user identifies a directory containing Digital Imaging and Communications in Medicine (DICOM) data, provides their INCF Portal authentication, and provides identifiers for the subject and imaging session. The user tool anonymizes the data and sends it to the server. The server then runs quality control routines on the data, and the data and the quality control reports are made public. The user retains control of the data and may change the sharing policy as they need. The result is that in a few minutes of the user’s time, DICOM data can be anonymized and made publicly available, and an initial quality control assessment can be performed on the data. The system is currently functional, and user tools and access to the public image database are available at http://xnat.incf.org/. PMID:24904398

  17. Understanding the Nature of Medication Errors in an ICU with a Computerized Physician Order Entry System

    PubMed Central

    Cho, Insook; Park, Hyeok; Choi, Youn Jeong; Hwang, Mi Heui; Bates, David W.

    2014-01-01

    Objectives We investigated incidence rates to understand the nature of medication errors potentially introduced by utilizing a computerized physician order entry (CPOE) system in the three clinical phases of the medication process: prescription, administration, and documentation. Methods Overt observations and chart reviews were employed at two surgical intensive care units of a 950-bed tertiary teaching hospital. Ten categories of high-risk drugs prescribed over a four-month period were noted and reviewed. Error definition and classifications were adapted from previous studies for use in the present research. Incidences of medication errors in the three phases of the medication process were analyzed. In addition, nurses' responses to prescription errors were also assessed. Results Of the 534 prescriptions issued, 286 (53.6%) included at least one error. The proportion of errors was 19.0% (58) of the 306 drug administrations, of which two-thirds were verbal orders classified as errors due to incorrectly entered prescriptions. Documentation errors occurred in 205 (82.7%) of 248 correctly performed administrations. When tracking incorrectly entered prescriptions, 93% of the errors were intercepted by nurses, but two-thirds of them were recorded as prescribed rather than administered. Conclusion The number of errors occurring at each phase of the medication process was relatively high, despite long experience with a CPOE system. The main causes of administration errors and documentation errors were prescription errors and verbal order processes. To reduce these errors, hospital-level and unit-level efforts toward a better system are needed. PMID:25526059

  18. Database Design to Ensure Anonymous Study of Medical Errors: A Report from the ASIPS collaborative

    PubMed Central

    Pace, Wilson D.; Staton, Elizabeth W.; Higgins, Gregory S.; Main, Deborah S.; West, David R.; Harris, Daniel M.

    2003-01-01

    Medical error reporting systems are important information sources for designing strategies to improve the safety of health care. Applied Strategies for Improving Patient Safety (ASIPS) is a multi-institutional, practice-based research project that collects and analyzes data on primary care medical errors and develops interventions to reduce error. The voluntary ASIPS Patient Safety Reporting System captures anonymous and confidential reports of medical errors. Confidential reports, which are quickly de-identified, provide better detail than do anonymous reports; however, concerns exist about the confidentiality of those reports should the database be subject to legal discovery or other security breaches. Standard database elements, for example, serial ID numbers, date/time stamps, and backups, could enable an outsider to link an ASIPS report to a specific medical error. The authors present the design and implementation of a database and administrative system that reduce this risk, facilitate research, and maintain near anonymity of the events, practices, and clinicians. PMID:12925548

  19. Database design to ensure anonymous study of medical errors: a report from the ASIPS Collaborative.

    PubMed

    Pace, Wilson D; Staton, Elizabeth W; Higgins, Gregory S; Main, Deborah S; West, David R; Harris, Daniel M

    2003-01-01

    Medical error reporting systems are important information sources for designing strategies to improve the safety of health care. Applied Strategies for Improving Patient Safety (ASIPS) is a multi-institutional, practice-based research project that collects and analyzes data on primary care medical errors and develops interventions to reduce error. The voluntary ASIPS Patient Safety Reporting System captures anonymous and confidential reports of medical errors. Confidential reports, which are quickly de-identified, provide better detail than do anonymous reports; however, concerns exist about the confidentiality of those reports should the database be subject to legal discovery or other security breaches. Standard database elements, for example, serial ID numbers, date/time stamps, and backups, could enable an outsider to link an ASIPS report to a specific medical error. The authors present the design and implementation of a database and administrative system that reduce this risk, facilitate research, and maintain near anonymity of the events, practices, and clinicians.

  20. Eleven-year descriptive analysis of closed court verdicts on medical errors in Spain and Massachusetts

    PubMed Central

    Giraldo, Priscila; Sato, Luke; Martínez-Sánchez, Jose M; Comas, Mercè; Dwyer, Kathy; Sala, Maria; Castells, Xavier

    2016-01-01

    Objectives To evaluate and compare the characteristics of court verdicts on medical errors allegedly harming patients in Spain and Massachusetts from 2002 to 2012. Design, setting and participants We reviewed 1041 closed court verdicts obtained from data on litigation in the Thomson Reuters Aranzadi Westlaw databases in Spain (Europe), and 370 closed court verdicts obtained from the Controlled Risk and Risk Management Foundation of Harvard Medical Institutions (CRICO/RMF) in Massachusetts (USA). We included closed court verdicts on medical errors. The definition of medical errors was based on that of the Institute of Medicine (USA). We excluded any agreements between parties before a judgement. Results Medical errors were involved in 25.9% of court verdicts in Spain and in 74% of those in Massachusetts. The most frequent cause of medical errors was a diagnosis-related problem (25.1%; 95% CI 20.7% to 31.1% in Spain; 35%; 95% CI 29.4% to 40.7% in Massachusetts). The proportion of medical errors classified as high severity was 34% higher in Spain than in Massachusetts (p=0.001). The most frequent factors contributing to medical errors in Spain were surgical and medical treatment (p=0.001). In Spain, 98.5% of medical errors resulted in compensation awards compared with only 6.9% in Massachusetts. Conclusions This study reveals wide differences in litigation rates and the award of indemnity payments in Spain and Massachusetts; however, common features of both locations are the high rates of diagnosis-related problems and the long time interval until resolution. PMID:27577585

  1. Patient disclosure of medical errors in paediatrics: A systematic literature review

    PubMed Central

    Koller, Donna; Rummens, Anneke; Le Pouesard, Morgane; Espin, Sherry; Friedman, Jeremy; Coffey, Maitreya; Kenneally, Noah

    2016-01-01

    Medical errors are common within paediatrics; however, little research has examined the process of disclosing medical errors in paediatric settings. The present systematic review of current research and policy initiatives examined evidence regarding the disclosure of medical errors involving paediatric patients. Peer-reviewed research from a range of scientific journals from the past 10 years is presented, and an overview of Canadian and international policies regarding disclosure in paediatric settings are provided. The purpose of the present review was to scope the existing literature and policy, and to synthesize findings into an integrated and accessible report. Future research priorities and policy implications are then identified. PMID:27429578

  2. Patient disclosure of medical errors in paediatrics: A systematic literature review.

    PubMed

    Koller, Donna; Rummens, Anneke; Le Pouesard, Morgane; Espin, Sherry; Friedman, Jeremy; Coffey, Maitreya; Kenneally, Noah

    2016-05-01

    Medical errors are common within paediatrics; however, little research has examined the process of disclosing medical errors in paediatric settings. The present systematic review of current research and policy initiatives examined evidence regarding the disclosure of medical errors involving paediatric patients. Peer-reviewed research from a range of scientific journals from the past 10 years is presented, and an overview of Canadian and international policies regarding disclosure in paediatric settings are provided. The purpose of the present review was to scope the existing literature and policy, and to synthesize findings into an integrated and accessible report. Future research priorities and policy implications are then identified.

  3. Methodological Challenges in Describing Medication Dosing Errors in Children

    DTIC Science & Technology

    2005-01-01

    completed and FDA labeling is provided for a medication, it is unclear which dose is most appropriate for children. For example, olanzapine is an...antipsychotic medication that is not currently licensed for use in children under age 18 years. Table 2 represents different pediatric doses for olanzapine ...recommended in several selected sources. Table 2. Dosing information for olanzapine Source Recommended pediatric dose* Harriet Lane Handbook19

  4. Use of a clinical event monitor to prevent and detect medication errors.

    PubMed Central

    Payne, T. H.; Savarino, J.; Marshall, R.; Hoey, C. T.

    2000-01-01

    Errors in health care facilities are common and often unrecognized. We have used our clinical event monitor to prevent and detect medication errors by scrutinizing electronic messages sent to it when any medication order is written in our facility. A growing collection of medication safety rules covering dose limit errors, laboratory monitoring, and other topics may be applied to each medication order message to provide an additional layer of protection beyond existing order checks, reminders, and alerts available within our computer-based record system. During a typical day the event monitor receives 4802 messages, of which 4719 pertain to medication orders. We have found the clinical event monitor to be a valuable tool for clinicians and quality management groups charged with improving medication safety. PMID:11079962

  5. Medication errors in the intensive care unit: literature review using the SEIPS model.

    PubMed

    Frith, Karen H

    2013-01-01

    Medication errors in intensive care units put patients at risk for injury or death every day. Safety requires an organized and systematic approach to improving the tasks, technology, environment, and organizational culture associated with medication systems. The Systems Engineering Initiative for Patient Safety model can help leaders and health care providers understand the complicated and high-risk work associated with critical care. Using this model, the author combines a human factors approach with the well-known structure-process-outcome model of quality improvement to examine research literature. The literature review reveals that human factors, including stress, high workloads, knowledge deficits, and performance deficits, are associated with medication errors. Factors contributing to medication errors are frequent interruptions, communication problems, and poor fit of health information technology to the workflow of providers. Multifaceted medication safety interventions are needed so that human factors and system problems can be addressed simultaneously.

  6. Perceptions and Practices of Data Sharing in Engineering Education

    ERIC Educational Resources Information Center

    Johri, Aditya; Yang, Seungwon; Vorvoreanu, Mihaela; Madhavan, Krishna

    2016-01-01

    As part of our NSF funded collaborative project on Data Sharing within Engineering Education Community, we conducted an empirical study to better understand the current climate of data sharing and participants' future expectations of the field. We present findings of this mixed method study and discuss implications. Overall, we found strong…

  7. Transforming Education Research through Open Video Data Sharing

    ERIC Educational Resources Information Center

    Gilmore, Rick O.; Adolph, Karen E.; Millman, David S.; Gordon, Andrew

    2016-01-01

    Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many…

  8. Facilitating Health Data Sharing Across Diverse Practices and Communities

    PubMed Central

    Lin, Ching-Ping; Black, Robert A.; LaPlante, Jay; Keppel, Gina A.; Tuzzio, Leah; Berg, Alfred O.; Whitener, Ron J.; Buchwald, Dedra S.; Baldwin, Laura-Mae; Fishman, Paul A.; Greene, Sarah M.; Gennari, John H.; Tarczy-Hornoch, Peter; Stephens, Kari A.

    2010-01-01

    Health data sharing with and among practices is a method for engaging rural and underserved populations, often with strong histories of marginalization, in health research. The Institute of Translational Health Sciences, funded by a National Institutes of Health Clinical and Translational Science Award, is engaged in the LC Data QUEST project to build practice and community based research networks with the ability to share semantically aligned electronic health data. We visited ten practices and communities to assess the feasibility of and barriers to developing data sharing networks. We found that these sites had very different approaches and expectations for data sharing. In order to support practices and communities and foster the acceptance of data sharing in these settings, informaticists must take these diverse views into account. Based on these findings, we discuss system design implications and the need for flexibility in the development of community-based data sharing networks. PMID:21347138

  9. The alarming reality of medication error: a patient case and review of Pennsylvania and National data

    PubMed Central

    da Silva, Brianna A.; Krishnamurthy, Mahesh

    2016-01-01

    Case description A 71-year-old female accidentally received thiothixene (Navane), an antipsychotic, instead of her anti-hypertensive medication amlodipine (Norvasc) for 3 months. She sustained physical and psychological harm including ambulatory dysfunction, tremors, mood swings, and personality changes. Despite the many opportunities for intervention, multiple health care providers overlooked her symptoms. Discussion Errors occurred at multiple care levels, including prescribing, initial pharmacy dispensation, hospitalization, and subsequent outpatient follow-up. This exemplifies the Swiss Cheese Model of how errors can occur within a system. Adverse drug events (ADEs) account for more than 3.5 million physician office visits and 1 million emergency department visits each year. It is believed that preventable medication errors impact more than 7 million patients and cost almost $21 billion annually across all care settings. About 30% of hospitalized patients have at least one discrepancy on discharge medication reconciliation. Medication errors and ADEs are an underreported burden that adversely affects patients, providers, and the economy. Conclusion Medication reconciliation including an ‘indication review’ for each prescription is an important aspect of patient safety. The decreasing frequency of pill bottle reviews, suboptimal patient education, and poor communication between healthcare providers are factors that threaten patient safety. Medication error and ADEs cost billions of health care dollars and are detrimental to the provider–patient relationship. PMID:27609720

  10. Errors of oral medication administration in a patient with enteral feeding tube

    PubMed Central

    Emami, Shahram; Hamishehkar, Hadi; Mahmoodpoor, Ata; Mashayekhi, Simin; Asgharian, Parina

    2012-01-01

    Enteral feeding tube is employed for feeding of critically ill patients who are unable to eat. In the cases of oral medication administration to enterally fed patients, some potential errors could happen. We report a 53-year-old man who was admitted to intensive care unit (ICU) of a teaching hospital due to the post-CPR hypoxemic encephalopathy. The patient was intubated and underwent mechanical ventilation. A nasogastric (NG) tube was used as the enteral route for nutrition and administration of oral medications. Oral medications were crushed then dissolved in tap water and were given to the patient through NG tube. In present article we report several medication errors occurred during enterally drug administration, including errors in dosage form selection, methods of oral medication administration and drug interactions and incompatibility with nutrition formula. These errors could reduce the effects of drugs and lead to unsuccessful treatment of patient and also could increase the risk of potential adverse drug reactions. Potential leading causes of these errors include lack of drug knowledge among physicians, inadequate training of nurses and lack of pharmacists participation in medical settings. PMID:24991587

  11. [Prevention of medication errors in healthcare transition of patients treated with apomorphine].

    PubMed

    Ucha Sanmartin, M; Martín Vila, A; López Vidal, C; Caaamaño Barreiro, M; Piñeiro Corrales, G

    2014-05-01

    The transition of patients between different levels of care process is a particular risk in the production of medication errors. The aim of this paper is to analyze the role of the pharmacist in preventing errors transition care to ensure a safe and cross pharmacotherapy of patients.Transversal, observational and descriptive study in a University Hospital that has a pharmacy service that integrates specialized inpatient care and health centers. Transition of care a patient treated with Apormorfina was analyzed to determine the keypoints of action of the pharmacist. Demographics, disease and medication history, and care transition episodes were collected through the pharmacy program and electronics history.The pharmacist did tasks adapting, reconciliation, management and reporting of medication to the health care team to prevent medication errors in care transition of patients treated with drugs requiring special handling .In conclusion, this work represents perfectly the key role of the pharmacist as coordinator of safe and transverse pharmacotherapy of patients.

  12. Identifying and quantifying medication errors: evaluation of rapidly discontinued medication orders submitted to a computerized physician order entry system.

    PubMed

    Koppel, Ross; Leonard, Charles E; Localio, A Russell; Cohen, Abigail; Auten, Ruthann; Strom, Brian L

    2008-01-01

    All methods of identifying medication prescribing errors are fraught with inaccuracies and systematic bias. A systematic, efficient, and inexpensive way of measuring and quantifying prescribing errors would be a useful step for reducing them. We ask if rapid discontinuations of prescription-orders--where physicians stop their orders within 2 hours--would be an expedient proxy for prescribing errors? To study this we analyzed CPOE-system medication orders entered and then discontinued within 2 hours. We investigated these phenomena in real time via interviews with corresponding ordering physicians. Each order was also independently reviewed by a clinical pharmacist or physicians. We found that of 114 rapidly discontinued orders by 75 physicians, two-thirds (35 of 53, PPV = 66; 95% CI = 53-77) of medication orders discontinued within 45 minutes were deemed inappropriate (overdose, underdose, etc.). Overall, 55% (63 of 114; 95% CI = 46-64%) of medication orders discontinued within 2 hours were deemed inappropriate. This measure offers a rapid, constant, inexpensive, and objective method to identify medication orders with a high probability of error. It may also serve as a screening and teaching mechanism for physicians-in-training.

  13. Designing an Algorithm to Preserve Privacy for Medical Record Linkage With Error-Prone Data

    PubMed Central

    Pal, Doyel; Chen, Tingting; Khethavath, Praveen

    2014-01-01

    Background Linking medical records across different medical service providers is important to the enhancement of health care quality and public health surveillance. In records linkage, protecting the patients’ privacy is a primary requirement. In real-world health care databases, records may well contain errors due to various reasons such as typos. Linking the error-prone data and preserving data privacy at the same time are very difficult. Existing privacy preserving solutions for this problem are only restricted to textual data. Objective To enable different medical service providers to link their error-prone data in a private way, our aim was to provide a holistic solution by designing and developing a medical record linkage system for medical service providers. Methods To initiate a record linkage, one provider selects one of its collaborators in the Connection Management Module, chooses some attributes of the database to be matched, and establishes the connection with the collaborator after the negotiation. In the Data Matching Module, for error-free data, our solution offered two different choices for cryptographic schemes. For error-prone numerical data, we proposed a newly designed privacy preserving linking algorithm named the Error-Tolerant Linking Algorithm, that allows the error-prone data to be correctly matched if the distance between the two records is below a threshold. Results We designed and developed a comprehensive and user-friendly software system that provides privacy preserving record linkage functions for medical service providers, which meets the regulation of Health Insurance Portability and Accountability Act. It does not require a third party and it is secure in that neither entity can learn the records in the other’s database. Moreover, our novel Error-Tolerant Linking Algorithm implemented in this software can work well with error-prone numerical data. We theoretically proved the correctness and security of our Error

  14. Medical Error Disclosure and Patient Safety: Legal Aspects

    PubMed Central

    Guillod, Olivier

    2013-01-01

    Reducing the number of preventable adverse events has become a public health issue. The paper discusses in which ways the law can contribute to that goal, especially by encouraging a culture of safety among healthcare professionals. It assesses the need or the usefulness to pass so-called disclosure laws and apology laws, to adopt mandatory but strictly confidential Critical Incidents Reporting Systems in hospitals, to change the fault-based system of medical liability or to amend the rules on criminal liability. The paper eventually calls for adding the law to the present agenda of patient safety. Significance for public health The extent of preventable adverse events and the correlative need to improve patient safety are recognized today as a public health issue. In order to lower the toll associated with preventable adverse events, the former culture of professionalism (based on the premise that a good physician doesn’t make mistakes) must be replaced by a culture of safety, which requires a multi-pronged approach that includes all the main stakeholders within the healthcare system. A number of legal reforms could help in prompting such a change. This contribution stresses the need to include legal aspects when trying to find appropriate responses to public health issues. PMID:25170502

  15. Evaluation of Interprofessional Team Disclosure of a Medical Error to a Simulated Patient

    PubMed Central

    Kern, Donna H.; Shrader, Sarah P.

    2016-01-01

    Objective. To evaluate the impact of an Interprofessional Communication Skills Workshop on pharmacy student confidence and proficiency in disclosing medical errors to patients. Pharmacy student behavior was also compared to that of other health professions’ students on the team. Design. Students from up to four different health professions participated in a simulation as part of an interprofessional team. Teams were evaluated with a validated rubric postsimulation on how well they handled the disclosure of an error to the patient. Individually, each student provided anonymous feedback and self-reflected on their abilities via a Likert-scale evaluation tool. A comparison of pharmacy students who completed the workshop (active group) vs all others who did not (control group) was completed and analyzed. Assessment. The majority of students felt they had adequate training related to communication issues that cause medication errors. However, fewer students believed that they knew how to report such an error to a patient or within a health system. Pharmacy students who completed the workshop were significantly more comfortable explicitly stating the error disclosure to a patient and/or caregiver and were more likely to apologize and respond to questions forthrightly (p<0.05). Conclusions. This data affirms the need to devote more time to training students on communicating with patients about the occurrence of medical errors and how to report these errors. Educators should be encouraged to incorporate such training within interprofessional education curricula. PMID:27899834

  16. The use of failure mode effect and criticality analysis in a medication error subcommittee.

    PubMed

    Williams, E; Talley, R

    1994-04-01

    Failure Mode Effect and Criticality Analysis (FMECA) is the systematic assessment of a process or product that enables one to determine the location and mechanism of potential failures. It has been used by engineers, particularly in the aerospace industry, to identify and prioritize potential failures during product development when there is a lack of data but an abundance of expertise. The Institute for Safe Medication Practices has recommended its use in analyzing the medication administration process in hospitals and in drug product development in the pharamceutical industry. A medication error subcommittee adopted and modified FMECA to identify and prioritize significant failure modes in its specific medication administration process. Based on this analysis, the subcommittee implemented solutions to four of the five highest ranked failure modes. FMECA provided a method for a multidisciplinary group to address the most important medication error concerns based upon the expertise of the group members. It also facilitated consensus building in a group with varied perceptions.

  17. The relationship of usability to medical error: an evaluation of errors associated with usability problems in the use of a handheld application for prescribing medications.

    PubMed

    Kushniruk, Andre; Triola, Mark; Stein, Ben; Borycki, Elizabeth; Kannry, Joseph

    2004-01-01

    This paper describes an innovative approach to the evaluation of a handheld prescription writing application. Participants (10 physicians) were asked to perform a series of tasks involving entering prescriptions into the application from a medication list. The study procedure involved the collection of data consisting of transcripts of the subjects who were asked to "think aloud" while interacting with the prescription writing program to enter medications. All user interactions with the device were video and audio recorded. Analysis of the protocols was conducted in two phases: (1) usability problems were identified from coding of the transcripts and video data (2) actual errors in entering prescription data were also identified. The results indicated that there were a variety of usability problems, with most related to issues of ease of use. In addition, other problems were identified which were related to limitations of the content of the program. In examining the relationship between usability problems and errors, it was found that certain types of usability problems were closely associated with the occurrence of specific types of errors in prescription of medications. Implications for the improvement of safety of health care information systems are discussed.

  18. Reducing medication errors and increasing patient safety: case studies in clinical pharmacology.

    PubMed

    Benjamin, David M

    2003-07-01

    Today, reducing medication errors and improving patient safety have become common topics of discussion for the president of the United States, federal and state legislators, the insurance industry, pharmaceutical companies, health care professionals, and patients. But this is not news to clinical pharmacologists. Improving the judicious use of medications and minimizing adverse drug reactions have always been key areas of research and study for those working in clinical pharmacology. However, added to the older terms of adverse drug reactions and rational therapeutics, the now politically correct expression of medication error has emerged. Focusing on the word error has drawn attention to "prevention" and what can be done to minimize mistakes and improve patient safety. Webster's New Collegiate Dictionary has several definitions of error, but the one that seems to be most appropriate in the context of medication errors is "an act that through ingnorance, deficiency, or accident departs from or fails to achieve what should be done." What should be done is generally known as "the five rights": the right drug, right dose, right route, right time, and right patient. One can make an error of omission (failure to act correctly) or an error of commission (acted incorrectly). This article now summarizes what is currently known about medication errors and translates the information into case studies illustrating common scenarios leading to medication errors. Each case is analyzed to provide insight into how the medication error could have been prevented. "System errors" are described, and the application of failure mode effect analysis (FMEA) is presented to determine the part of the "safety net" that failed. Examples of reengineering the system to make it more "error proof" are presented. An error can be prevented. However, the practice of medicine, pharmacy, and nursing in the hospital setting is very complicated, and so many steps occur from "pen to patient" that there

  19. Errors Related to Medication Reconciliation: A Prospective Study in Patients Admitted to the Post CCU.

    PubMed

    Haji Aghajani, Mohammad; Ghazaeian, Monireh; Mehrazin, Hamid Reza; Sistanizad, Mohammad; Miri, Mirmohammad

    2016-01-01

    Medication errors are one of the important factors that increase fatal injuries to the patients and burden significant economic costs to the health care. An appropriate medical history could reduce errors related to omission of the previous drugs at the time of hospitalization. The aim of this study, as first one in Iran, was evaluating the discrepancies between medication histories obtained by pharmacists and physicians/nurses and first order of physician. From September 2012 until March 2013, patients admitted to the post CCU of a 550 bed university hospital, were recruited in the study. As a part of medication reconciliation on admission, the physicians/nurses obtained medication history from all admitted patients. For patients included in the study, medication history was obtained by both physician/nurse and a pharmacy student (after training by a faculty clinical pharmacist) during the first 24 h of admission. 250 patients met inclusion criteria. The mean age of patients was 61.19 ± 14.41 years. Comparing pharmacy student drug history with medication lists obtained by nurses/physicians revealed 3036 discrepancies. On average, 12.14 discrepancies, ranged from 0 to 68, were identified per patient. Only in 20 patients (8%) there was 100 % agreement among medication lists obtained by pharmacist and physician/nurse. Comparing the medications by list of drugs ordered by physician at first visit showed 12.1 discrepancies on average ranging 0 to 72. According to the results, omission errors in our setting are higher than other countries. Pharmacy-based medication reconciliation could be recommended to decrease this type of error.

  20. Carers' Medication Administration Errors in the Domiciliary Setting: A Systematic Review

    PubMed Central

    Garfield, Sara; Vincent, Charles; Franklin, Bryony Dean

    2016-01-01

    Purpose Medications are mostly taken in patients’ own homes, increasingly administered by carers, yet studies of medication safety have been largely conducted in the hospital setting. We aimed to review studies of how carers cause and/or prevent medication administration errors (MAEs) within the patient’s home; to identify types, prevalence and causes of these MAEs and any interventions to prevent them. Methods A narrative systematic review of literature published between 1 Jan 1946 and 23 Sep 2013 was carried out across the databases EMBASE, MEDLINE, PSYCHINFO, COCHRANE and CINAHL. Empirical studies were included where carers were responsible for preventing/causing MAEs in the home and standardised tools used for data extraction and quality assessment. Results Thirty-six papers met the criteria for narrative review, 33 of which included parents caring for children, two predominantly comprised adult children and spouses caring for older parents/partners, and one focused on paid carers mostly looking after older adults. The carer administration error rate ranged from 1.9 to 33% of medications administered and from 12 to 92.7% of carers administering medication. These included dosage errors, omitted administration, wrong medication and wrong time or route of administration. Contributory factors included individual carer factors (e.g. carer age), environmental factors (e.g. storage), medication factors (e.g. number of medicines), prescription communication factors (e.g. comprehensibility of instructions), psychosocial factors (e.g. carer-to-carer communication), and care-recipient factors (e.g. recipient age). The few interventions effective in preventing MAEs involved carer training and tailored equipment. Conclusion This review shows that home medication administration errors made by carers are a potentially serious patient safety issue. Carers made similar errors to those made by professionals in other contexts and a wide variety of contributory factors were

  1. The Relationship Between Nursing Experience and Education and the Occurrence of Reported Pediatric Medication Administration Errors.

    PubMed

    Sears, Kim; O'Brien-Pallas, Linda; Stevens, Bonnie; Murphy, Gail Tomblin

    2016-01-01

    Medication errors are one of the most common incidents in the hospitals. They can be harmful, and they are even more detrimental for pediatric patients. This study explored the relationship between nursing experience, education, the frequency and severity of reported pediatric medication administration errors (PMAEs). The data for this study were collected from a larger pan Canadian study. A survey tool was developed to collect self-reported data from nurses. In addition to descriptive statistics, a Poisson regression or a multiple linear regression was completed to address the research questions, and a Boneferrai correction was conducted to adjust for the small sample size. Results demonstrated that on units with more nurses with a higher level of current experience, more PMAEs were reported (p=.001), however; the PMAEs reported by these nurses were not as severe (p=.003). Implications to advance both safe medication delivery in the pediatric setting and safe culture of reporting for both actual and potential errors are identified.

  2. Incidence of medication error associated with the use of beta-blockers in Pakistan.

    PubMed

    Nesar, Shagufta; Shoaib, Muhammad Harris; Yousuf, Rabia Ismail; Rahim, Najia; Muhammad, Iyad Naeem

    2014-05-01

    Medication errors (ME) are human errors, which are very frequent in cardiovascular patients and result in patient morbidity and mortality. This study was focused to evaluate the quality of prescriptions and to emphasize the placement of clinical pharmacist in health care team. This study was carried out in different outpatient settings of (in) Karachi, Pakistan. The study period was June 2011 till June 2012. Retrospective data was analyzed for the outpatients' prescription of beta blocker drugs. During the study, prescriptions (n=450) were collected from different outpatient settings of (in) Karachi, Pakistan. Prescription containing beta-blockers were analyzed for the essential elements to be mentioned in prescription. Drug-drug interactions were identified by the Micromedex.2.0 Drug-Reax database and severity of medication error was determined by NCCMERP Index. A total of 1627 medication errors were identified in 450 prescriptions. The most frequent error was not mentioning the patient's weight (95%), followed by missing diagnosis (79.4%) and drug-drug interactions (69.5%). Twenty-two prescriptions were placed in the most severe category I (4.88%). Average number of drugs per prescription was 4.76. Significant difference was observed (χ(2)=52.418, p<0.05) using SPSS 19 for those prescription orders having more than 5 drugs with Beta-blockers. This indicates that the errors in prescription such as drug-drug interactions, wrong dose etc. was significantly increased with the number of drugs per prescription. Results showed that medication errors are very frequent in prescription written in outpatient setting of various hospitals and clinics in Karachi. This shows that the irrational prescribing is a common practice in developing countries. Placement of skilled pharmacist in the health care system is the only solution for avoidance of these medication related problems.

  3. Paediatric Patient Safety and the Need for Aviation Black Box Thinking to Learn From and Prevent Medication Errors.

    PubMed

    Huynh, Chi; Wong, Ian C K; Correa-West, Jo; Terry, David; McCarthy, Suzanne

    2017-04-01

    Since the publication of To Err Is Human: Building a Safer Health System in 1999, there has been much research conducted into the epidemiology, nature and causes of medication errors in children, from prescribing and supply to administration. It is reassuring to see growing evidence of improving medication safety in children; however, based on media reports, it can be seen that serious and fatal medication errors still occur. This critical opinion article examines the problem of medication errors in children and provides recommendations for research, training of healthcare professionals and a culture shift towards dealing with medication errors. There are three factors that we need to consider to unravel what is missing and why fatal medication errors still occur. (1) Who is involved and affected by the medication error? (2) What factors hinder staff and organisations from learning from mistakes? Does the fear of litigation and criminal charges deter healthcare professionals from voluntarily reporting medication errors? (3) What are the educational needs required to prevent medication errors? It is important to educate future healthcare professionals about medication errors and human factors to prevent these from happening. Further research is required to apply aviation's 'black box' principles in healthcare to record and learn from near misses and errors to prevent future events. There is an urgent need for the black box investigations to be published and made public for the benefit of other organisations that may have similar potential risks for adverse events. International sharing of investigations and learning is also needed.

  4. [Preliminary Study on Error Control of Medical Devices Test Reports Based on the Analytic Hierarchy Process].

    PubMed

    Huang, Yanhong; Xu, Honglei; Tu, Rong; Zhang, Xu; Huang, Min

    2016-01-01

    In this paper, the common errors in medical devices test reports are classified and analyzed. And then the main 11 influence factors for these inspection report errors are summarized. The hierarchy model was also developed and verified by presentation data using MATLAB. The feasibility of comprehensive weights quantitative comparison has been analyzed by using the analytic hierarchy process. In the end, this paper porspects the further research direction.

  5. Data sharing in international transboundary contexts: The Vietnamese perspective on data sharing in the Lower Mekong Basin

    NASA Astrophysics Data System (ADS)

    Thu, Hang Ngo; Wehn, Uta

    2016-05-01

    Transboundary data sharing is widely recognised as a necessary element in the successful handling of water-related climate change issues, as it is a means towards integrated water resources management (IWRM). However, in practice it is often a challenge to achieve it. The Mekong River Commission (MRC), an inter-governmental agency established by Cambodia, Lao PDR, Thailand and Vietnam, has adopted IWRM in its water strategy plan in order to properly manage the transboundary waters of the Mekong River. In this context, data sharing procedures were institutionalised and have been officially implemented by the four member countries since 2001. This paper uses a systematic approach to identify the extent of data sharing and the factors influencing the willingness of key individuals in the Vietnam National Mekong Committee and its Primary Custodians to share data. We find that the initial objectives of the Procedures for Data and Information Exchange and Sharing (PDIES) have not been fully achieved and, further, that Vietnam has much to gain and little to lose by engaging in data sharing in the MRC context. The primary motivation for data sharing stems from the desire to protect national benefits and to prevent upstream countries from overexploiting the shared water resources. However, data sharing is hindered by a lack of national regulations in the Vietnam context concerning data sharing between state agencies and outdated information management systems.

  6. Systematic evaluation of errors occurring during the preparation of intravenous medication

    PubMed Central

    Parshuram, Christopher S.; To, Teresa; Seto, Winnie; Trope, Angela; Koren, Gideon; Laupacis, Andreas

    2008-01-01

    Introduction Errors in the concentration of intravenous medications are not uncommon. We evaluated steps in the infusion-preparation process to identify factors associated with preventable medication errors. Methods We included 118 health care professionals who would be involved in the preparation of intravenous medication infusions as part of their regular clinical activities. Participants performed 5 infusion-preparation tasks (drug-volume calculation, rounding, volume measurement, dose-volume calculation, mixing) and prepared 4 morphine infusions to specified concentrations. The primary outcome was the occurrence of error (deviation of > 5% for volume measurement and > 10% for other measures). The secondary outcome was the magnitude of error. Results Participants performed 1180 drug-volume calculations, 1180 rounding calculations and made 1767 syringe-volume measurements, and they prepared 464 morphine infusions. We detected errors in 58 (4.9%, 95% confidence interval [CI] 3.7% to 6.2%) drug-volume calculations, 30 (2.5%, 95% CI 1.6% to 3.4%) rounding calculations and 29 (1.6%, 95% CI 1.1% to 2.2%) volume measurements. We found 7 errors (1.6%, 95% CI 0.4% to 2.7%) in drug mixing. Of the 464 infusion preparations, 161 (34.7%, 95% CI 30.4% to 39%) contained concentration errors. Calculator use was associated with fewer errors in dose-volume calculations (4% v. 10%, p = 0.001). Four factors were positively associated with the occurence of a concentration error: fewer infusions prepared in the previous week (p = 0.007), increased number of years of professional experience (p = 0.01), the use of the more concentrated stock solution (p < 0.001) and the preparation of smaller dose volumes (p < 0.001). Larger magnitude errors were associated with fewer hours of sleep in the previous 24 hours (p = 0.02), the use of more concentrated solutions (p < 0.001) and preparation of smaller infusion doses (p < 0.001). Interpretation Our data suggest that the reduction of provider

  7. [The possibility of medico-legal opinionating on medical error in cases of waived postmortem examination].

    PubMed

    Kunz, Jerzy

    2008-01-01

    For several years now, with the introduction of the health care sector reform we have been observing a considerable drop in the number of postmortem examinations performed in patients who died in hospitals. The decrease amounts to as much as 50 to 70%. This is undoubtedly a consequence of financial restrictions imposed on the management of these inpatient facilities. On the other hand, Departments of Forensic Medicine established to evaluate the so-called medical errors are swamped with an increasing avalanche of complaints concerning the appropriateness of therapeutic management. This leads to a growing number of orders from penal prosecution and jurisdiction agencies with requests for assessment whether a medical error has been committed in a particular case. The result of a postmortem examination is practically the only basis for a factual evaluation of a given case. When no autopsy has been performed, the experts are virtually helpless, and in the majority of such instances, they are forced to refuse passing an expert opinion. The report presents basic principles of medico-legal opinionating in criminal cases (including proceedings pertaining to medical errors), the rules governing the medical error assessment, as well as problems encountered in evaluating the appropriate course of treatment when a post mortem examination has been waived.

  8. Preparing for Ambulatory Computerized Prescriber Order Entry by Evaluating Preimplementation Medication Errors

    DTIC Science & Technology

    2005-01-01

    disease states, and allergies. Evaluation methods The research associates evaluated each prescription for medication errors using a structured ... computer -based system. Using five screens, they progressed in sequence, entering all data, one prescription at a time, into the database (except that

  9. Designing a national combined reporting form for adverse drug reactions and medication errors.

    PubMed

    Tanti, A; Serracino-Inglott, A; Borg, J J

    2015-06-09

    The Maltese Medicines Authority was tasked with developing a reporting form that captures high-quality case information on adverse drug reactions (ADRs) and medication errors in order to fulfil its public-health obligations set by the European Union (EU) legislation on pharmacovigilance. This paper describes the process of introducing the first combined ADR/medication error reporting form in the EU for health-care professionals, the analysis of reports generated by it and the promotion of the system. A review of existing ADR forms was carried out and recommendations from the European Medicines Agency and World Health Organization audits integrated. A new, combined ADR/medication error reporting form was developed and pilot tested based on case studies. The Authority's quality system (ISO 9001 certified) was redesigned and a promotion strategy was deployed. The process used in Malta can be useful for countries that need to develop systems relative to ADR/medication error reporting and to improve the quality of data capture within their systems.

  10. Effects of Crew Resource Management Training on Medical Errors in a Simulated Prehospital Setting

    ERIC Educational Resources Information Center

    Carhart, Elliot D.

    2012-01-01

    This applied dissertation investigated the effect of crew resource management (CRM) training on medical errors in a simulated prehospital setting. Specific areas addressed by this program included situational awareness, decision making, task management, teamwork, and communication. This study is believed to be the first investigation of CRM…

  11. Recent Literature on Medication Errors and Adverse Drug Events in Older Adults

    PubMed Central

    Naples, Jennifer G.; Hanlon, Joseph T.; Schmader, Kenneth E.; Semla, Todd P.

    2015-01-01

    Medication errors and adverse drug events are common in older adults, but locating literature addressing these issues is often challenging. The objective of this article was to summarize recent studies addressing medication errors and adverse drug events in a single location to improve accessibility for individuals working with older adults. The authors conducted a comprehensive literature search for studies published in 2014 and identified 51 potential articles. After critical review, 17 studies were selected for inclusion based on innovation, rigorous observational or experimental study designs, and use of reliable, valid measures. Four articles characterizing potentially inappropriate prescribing and interventions to optimize medication regimens were annotated and critiqued in detail. We hope that health policy makers and clinicians find this information helpful in improving the quality of care for older adults. PMID:26804210

  12. Gaming against medical errors: methods and results from a design game on CPOE.

    PubMed

    Kanstrup, Anne Marie; Nøhr, Christian

    2009-01-01

    The paper presents design game as a technique for participatory design for a Computerized Decision Support System (CDSS) for minimizing medical errors. Design game is used as a technique for working with the skills of users, the complexity of the use practice and the negotiation of design here within the challenging domain of medication. The paper presents a developed design game based on game inspiration from a computer game, theoretical inspiration on electronic decision support, and empirical grounding in scenarios of medical errors. The game has been played in a two-hour workshop with six clinicians. The result is presented as a list of central themes for design of CDSS and derived design principles from these themes. These principles are currently under further exploration in follow up prototype based activities.

  13. Modern Palliative Radiation Treatment: Do Complexity and Workload Contribute to Medical Errors?

    SciTech Connect

    D'Souza, Neil; Holden, Lori; Robson, Sheila; Mah, Kathy; Di Prospero, Lisa; Wong, C. Shun; Chow, Edward; Spayne, Jacqueline

    2012-09-01

    Purpose: To examine whether treatment workload and complexity associated with palliative radiation therapy contribute to medical errors. Methods and Materials: In the setting of a large academic health sciences center, patient scheduling and record and verification systems were used to identify patients starting radiation therapy. All records of radiation treatment courses delivered during a 3-month period were retrieved and divided into radical and palliative intent. 'Same day consultation, planning and treatment' was used as a proxy for workload and 'previous treatment' and 'multiple sites' as surrogates for complexity. In addition, all planning and treatment discrepancies (errors and 'near-misses') recorded during the same time frame were reviewed and analyzed. Results: There were 365 new patients treated with 485 courses of palliative radiation therapy. Of those patients, 128 (35%) were same-day consultation, simulation, and treatment patients; 166 (45%) patients had previous treatment; and 94 (26%) patients had treatment to multiple sites. Four near-misses and 4 errors occurred during the audit period, giving an error per course rate of 0.82%. In comparison, there were 10 near-misses and 5 errors associated with 1100 courses of radical treatment during the audit period. This translated into an error rate of 0.45% per course. An association was found between workload and complexity and increased palliative therapy error rates. Conclusions: Increased complexity and workload may have an impact on palliative radiation treatment discrepancies. This information may help guide the necessary recommendations for process improvement for patients who require palliative radiation therapy.

  14. Impact of Extended-Duration Shifts on Medical Errors, Adverse Events, and Attentional Failures

    PubMed Central

    Barger, Laura K; Ayas, Najib T; Cade, Brian E; Cronin, John W; Rosner, Bernard; Speizer, Frank E; Czeisler, Charles A

    2006-01-01

    Background A recent randomized controlled trial in critical-care units revealed that the elimination of extended-duration work shifts (≥24 h) reduces the rates of significant medical errors and polysomnographically recorded attentional failures. This raised the concern that the extended-duration shifts commonly worked by interns may contribute to the risk of medical errors being made, and perhaps to the risk of adverse events more generally. Our current study assessed whether extended-duration shifts worked by interns are associated with significant medical errors, adverse events, and attentional failures in a diverse population of interns across the United States. Methods and Findings We conducted a Web-based survey, across the United States, in which 2,737 residents in their first postgraduate year (interns) completed 17,003 monthly reports. The association between the number of extended-duration shifts worked in the month and the reporting of significant medical errors, preventable adverse events, and attentional failures was assessed using a case-crossover analysis in which each intern acted as his/her own control. Compared to months in which no extended-duration shifts were worked, during months in which between one and four extended-duration shifts and five or more extended-duration shifts were worked, the odds ratios of reporting at least one fatigue-related significant medical error were 3.5 (95% confidence interval [CI], 3.3–3.7) and 7.5 (95% CI, 7.2–7.8), respectively. The respective odds ratios for fatigue-related preventable adverse events, 8.7 (95% CI, 3.4–22) and 7.0 (95% CI, 4.3–11), were also increased. Interns working five or more extended-duration shifts per month reported more attentional failures during lectures, rounds, and clinical activities, including surgery and reported 300% more fatigue-related preventable adverse events resulting in a fatality. Conclusions In our survey, extended-duration work shifts were associated with an

  15. Promises and pitfalls of data sharing in qualitative research.

    PubMed

    Tsai, Alexander C; Kohrt, Brandon A; Matthews, Lynn T; Betancourt, Theresa S; Lee, Jooyoung K; Papachristos, Andrew V; Weiser, Sheri D; Dworkin, Shari L

    2016-11-01

    The movement for research transparency has gained irresistible momentum over the past decade. Although qualitative research is rarely published in the high-impact journals that have adopted, or are most likely to adopt, data sharing policies, qualitative researchers who publish work in these and similar venues will likely encounter questions about data sharing within the next few years. The fundamental ways in which qualitative and quantitative data differ should be considered when assessing the extent to which qualitative and mixed methods researchers should be expected to adhere to data sharing policies developed with quantitative studies in mind. We outline several of the most critical concerns below, while also suggesting possible modifications that may help to reduce the probability of unintended adverse consequences and to ensure that the sharing of qualitative data is consistent with ethical standards in research.

  16. Data Sharing of Mechanical Design Formulas Using Semantic Web Technology

    NASA Astrophysics Data System (ADS)

    Zhou, Jun; Watanuki, Keiichi

    Speed and efficiency are necessary in the field of mechanical design. CAD/CAM/CAE technologies have advanced and attention has also been paid to increasing the efficiency of data sharing and agent processes in the web environment. In this paper, Semantic Web technology is used to enable the sharing of metadata. The metadata consists of design documents and design formulas, with additional semantic information inserted. Mathematical information is expressed by adding metadata into conventional mechanical design formulas using a Resource Description Framework (RDF). The design formulas are later written in MathML (Mathematical Markup Language) for the sake of data sharing. In this way, data sharing and advanced searching is made easy, because the relevant information is made machine readable in the web environment. The calculation of design formulas is made possible using a mathematical processing system, thus increasing the efficiency of mechanical design.

  17. A risk-based framework for biomedical data sharing.

    PubMed

    Dankar, Fida K; Badji, Radja

    2017-02-01

    The problem of biomedical data sharing is a form of gambling; on one hand it incurs the risk of privacy violations and on the other it stands to profit from knowledge discovery. In general, the risk of granting data access to a user depends heavily upon the data requested, the purpose for the access, the user requesting the data (user motives) and the security of the user's environment. While traditional manual biomedical data sharing processes (based on institutional review boards) are lengthy and demanding, the automated ones (known as honest broker systems) disregard the individualities of different requests and offer "one-size-fits-all" solutions to all data requestors. In this manuscript, we propose a conceptual risk-aware data sharing system; the system brings the concept of risk, from all contextual information surrounding a data request, into the data disclosure decision module. The decision module, in turn, imposes mitigation measures to counter the calculated risk.

  18. Balancing data sharing requirements for analyses with data sensitivity

    USGS Publications Warehouse

    Jarnevich, C.S.; Graham, J.J.; Newman, G.J.; Crall, A.W.; Stohlgren, T.J.

    2007-01-01

    Data sensitivity can pose a formidable barrier to data sharing. Knowledge of species current distributions from data sharing is critical for the creation of watch lists and an early warning/rapid response system and for model generation for the spread of invasive species. We have created an on-line system to synthesize disparate datasets of non-native species locations that includes a mechanism to account for data sensitivity. Data contributors are able to mark their data as sensitive. This data is then 'fuzzed' in mapping applications and downloaded files to quarter-quadrangle grid cells, but the actual locations are available for analyses. We propose that this system overcomes the hurdles to data sharing posed by sensitive data. ?? 2006 Springer Science+Business Media B.V.

  19. Perceptions and Attitudes towards Medication Error Reporting in Primary Care Clinics: A Qualitative Study in Malaysia

    PubMed Central

    Samsiah, A.; Othman, Noordin; Jamshed, Shazia; Hassali, Mohamed Azmi

    2016-01-01

    Objective To explore and understand participants’ perceptions and attitudes towards the reporting of medication errors (MEs). Methods A qualitative study using in-depth interviews of 31 healthcare practitioners from nine publicly funded, primary care clinics in three states in peninsular Malaysia was conducted for this study. The participants included family medicine specialists, doctors, pharmacists, pharmacist assistants, nurses and assistant medical officers. The interviews were audiotaped and transcribed verbatim. Analysis of the data was guided by the framework approach. Results Six themes and 28 codes were identified. Despite the availability of a reporting system, most of the participants agreed that MEs were underreported. The nature of the error plays an important role in determining the reporting. The reporting system, organisational factors, provider factors, reporter’s burden and benefit of reporting also were identified. Conclusions Healthcare practitioners in primary care clinics understood the importance of reporting MEs to improve patient safety. Their perceptions and attitudes towards reporting of MEs were influenced by many factors which affect the decision-making process of whether or not to report. Although the process is complex, it primarily is determined by the severity of the outcome of the errors. The participants voluntarily report the errors if they are familiar with the reporting system, what error to report, when to report and what form to use. PMID:27906960

  20. [Medico-legal opinionating in cases of medical errors in declaration of death].

    PubMed

    Jurek, Tomasz; Swiatek, Barbara; Drozd, Radosław

    2007-01-01

    Declaration of death is a diagnosis and it has legal consequences. While declaring death, there is a possibility of committing a medical error. The majority of irregularities in declaring an individual dead occur in emergency situations. When a physician declares death, he is released from the professional obligation of saving the individual's life. The studies were based on the results of medico-legal evaluations in criminal cases in medical errors. In case death is erroneously declared, we may face a situation of squandering the chance of saving the life of a human being. Exposure to loss of life or to severe detriment to health are possible charges here, along with failure to offer medical assistance, although a deliberate character of the offence according to article 162 of the Polish penal code renders such a legal qualification dubious in case of medical errors. In both cases verification is needed whether an interest protected by law was still in existence, i.e. whether the individual was still alive when the physician incorrectly declared him dead.

  1. The AAFP Patient Safety Reporting System: Development and Legal Issues Pertinent to Medical Error Tracking and Analysis

    DTIC Science & Technology

    2005-05-01

    International Taxonomy of Medical Errors in Primary Care have been developed and revised based on four research studies carried out in family...percentages for column four reflect the percent of error codes. Qualitative findings from AAFP error-report studies The supplemental AHRQ grant to the

  2. Development of a web-based observational tool for detecting intravenous medication errors with smart infusion pumps.

    PubMed

    Ohashi, Kumiko; Dykes, Patricia; McIntosh, Kathleen; Buckley, Elizabeth; Wien, Matt; Kreitzman, Kevin; Dumais, Michael; Bates, David W

    2013-01-01

    Computerized smart infusion pumps have been widely implemented to decrease the rate of intravenous (IV) medication errors in hospitals. However, these devices have not always achieved their potential, and important IV errors still persist. Findings from a previous study [1] that assessed the frequency of IV medication errors and the impact of smart infusion pumps identified major issues related to use of smart infusion pumps in a single facility, but generalizability of these results is uncertain. Additionally, lack of standardized methodology for measuring these errors remains an issue. In this study, we developed an observational tool to capture IV medication errors through iterative participatory design with interdisciplinary experts and then tested the tool by using incident cases regarding smart pump errors. We found that the tool could capture all smart infusion pump errors and is ready for testing for use as standard data collection tool in different hospital settings.

  3. Data Sharing to Inform School-Based Asthma Services

    ERIC Educational Resources Information Center

    Portwood, Sharon G.; Nelson, Elissa B.

    2013-01-01

    Background: This article examines results and lessons learned from a collaborative project involving a large urban school district, its county health department, multiple community partners, and the local university to establish an effective system for data sharing to inform monitoring and evaluation of the Charlotte Mecklenburg Schools (CMS)…

  4. Data Sharing: Academic Libraries and the Scholarly Enterprise

    ERIC Educational Resources Information Center

    Nicholson, Shawn W.; Bennett, Terrence B.

    2011-01-01

    Technological advances have raised expectations for data sharing; and financial exigencies have brought the issue into sharper focus, especially as grant-funding institutions are beginning to require shared access to research results and the data that support them. These data are increasingly linked to publications and related resources, thereby…

  5. Adaptative Peer to Peer Data Sharing for Technology Enhanced Learning

    NASA Astrophysics Data System (ADS)

    Angelaccio, Michele; Buttarazzi, Berta

    Starting from the hypothesis that P2P Data Sharing in a direct teaching scenario (e.g.: a classroom lesson) may lead to relevant benefits, this paper explores the features of EduSHARE a Collaborative Learning System useful for Enhanced Learning Process.

  6. Making data sharing work: The FCP/INDI experience

    PubMed Central

    Mennes, Maarten; Biswal, Bharat; Castellanos, F. Xavier; Milham, Michael P.

    2012-01-01

    Over a decade ago, the fMRI Data Center (fMRIDC) pioneered open-access data sharing in the task-based functional neuroimaging community. Well ahead of its time, the fMRIDC effort encountered logistical, sociocultural and funding barriers that impeded the field-wise instantiation of open-access data sharing. In 2009, ambitions for open-access data sharing were revived in the resting state functional MRI community in the form of two grassroots initiatives: the 1000 Functional Connectomes Project (FCP) and its successor, the International Neuroimaging Datasharing Initiative (INDI). Beyond providing open access to thousands of clinical and non-clinical imaging datasets, the FCP and INDI have also demonstrated the feasibility of large-scale data aggregation for hypothesis generation and testing. Yet, the success of the FCP and INDI should not be confused with widespread embracement of open-access data sharing. Reminiscent of the challenges faced by fMRIDC, key controversies persist and include participant privacy, the role of informatics, and the logistical and cultural challenges of establishing an open science ethos. We discuss the FCP and INDI in the context of these challenges, highlighting the promise of current initiatives and suggesting solutions for possible pitfalls. PMID:23123682

  7. Designing for Global Data Sharing, Designing for Educational Transformation

    ERIC Educational Resources Information Center

    Adams, Robin S.; Radcliffe, David; Fosmire, Michael

    2016-01-01

    This paper provides an example of a global data sharing project with an educational transformation agenda. This agenda shaped both the design of the shared dataset and the experience of sharing the common dataset to support multiple perspective inquiry and enable integrative and critically reflexive research-to-practice dialogue. The shared…

  8. Risk factors for medication errors in the electronic and manual prescription 1

    PubMed Central

    Volpe, Cris Renata Grou; de Melo, Eveline Maria Magalhães; de Aguiar, Lucas Barbosa; Pinho, Diana Lúcia Moura; Stival, Marina Morato

    2016-01-01

    ABSTRACT Objective: to compare electronic and manual prescriptions of a public hospital of Brasilia, identifying risk factors for the occurrence of medication errors. Method: descriptive-exploratory, comparative and retrospective study. Data collection occurred from July 2012 to January 2013, using an instrument for the review of the information contained in medical records related to the medication process. A total of 190 manual and 199 electronic records composed the sample, with 2027 prescriptions each. Results: compared to the manual prescription, a significant reduction was observed in the risk factors after implantation of the electronic prescription, in items such as "lack of the form of dilution" (71.1% to 22.3%) and "prescription with brand name" (99.5% to 31.5%). Conversely, the risk factors "no check" and "lack of CRM of the prescriber" increased. The lack of the allergy registration and the occurrences related to medication were the same for both groups. Conclusion: generally, the use of the electronic prescription system was associated with a significant reduction in risk factors for medication errors, concerning the following aspects: illegibility, prescription with brand name and presence of essential items that provide a safe and effective prescription. PMID:27508913

  9. Using Simulation to Improve First-Year Pharmacy Students’ Ability to Identify Medication Errors Involving the Top 100 Prescription Medications

    PubMed Central

    Awdishu, Linda; Namba, Jennifer

    2016-01-01

    Objective. To evaluate first-year pharmacy students’ ability to identify medication errors involving the top 100 prescription medications. Design. In the first quarter of a 3-quarter pharmacy self-care course, a didactic lecture on the most common prescribing and dispensing prescription errors was presented to first-year pharmacy students (P1) in preparation for a prescription review simulation done individually and as a group. In the following quarter, they were given a formal prescription review workshop before a second simulation involving individual and group review of a different set of prescriptions. Students were evaluated based on the number of correctly checked prescriptions and a self-assessment of their confidence in reviewing prescriptions. Assessment. All 63 P1 students completed the prescription review simulations. The individual scores did not significantly change, but group scores improved from 79 (16.2%) in the fall quarter to 98.6 (4.7%) in the winter quarter. Students perceived improvement of their prescription checking skills, specifically in their ability to fill a prescription on their own, identify prescribing and dispensing errors, and perform pharmaceutical calculations. Conclusion. A prescription review module consisting of a didactic lecture, workshop and simulation-based methods to teach prescription analysis was successful at improving first year pharmacy students’ knowledge, confidence, and application of these skills. PMID:27402989

  10. Using Simulation to Improve First-Year Pharmacy Students' Ability to Identify Medication Errors Involving the Top 100 Prescription Medications.

    PubMed

    Atayee, Rabia S; Awdishu, Linda; Namba, Jennifer

    2016-06-25

    Objective. To evaluate first-year pharmacy students' ability to identify medication errors involving the top 100 prescription medications. Design. In the first quarter of a 3-quarter pharmacy self-care course, a didactic lecture on the most common prescribing and dispensing prescription errors was presented to first-year pharmacy students (P1) in preparation for a prescription review simulation done individually and as a group. In the following quarter, they were given a formal prescription review workshop before a second simulation involving individual and group review of a different set of prescriptions. Students were evaluated based on the number of correctly checked prescriptions and a self-assessment of their confidence in reviewing prescriptions. Assessment. All 63 P1 students completed the prescription review simulations. The individual scores did not significantly change, but group scores improved from 79 (16.2%) in the fall quarter to 98.6 (4.7%) in the winter quarter. Students perceived improvement of their prescription checking skills, specifically in their ability to fill a prescription on their own, identify prescribing and dispensing errors, and perform pharmaceutical calculations. Conclusion. A prescription review module consisting of a didactic lecture, workshop and simulation-based methods to teach prescription analysis was successful at improving first year pharmacy students' knowledge, confidence, and application of these skills.

  11. [Legal and medico-legal assessment of medical errors in obstetrics].

    PubMed

    Jurek, Tomasz; Swiatek, Barbara; Rorat, Marta; Drozd, Radosław

    2011-01-01

    The authors review the doctrine of criminal law and the jurisdiction of the Supreme Court in search of a starting point for the legal protection of human life and health. In cases of medical errors in obstetrics concerning a fetus, an act of a perpetrator can be classified as manslaughter or exposure to direct danger of loss of life or great bodily injury depending on whether the fetus is recognized as "a human being". The authors criticize the doctrinal criteria of the beginning of legal protection: spatial, physiological, obstetric, and developmental, pointing to the possibilities of decriminalization of medical errors of omission. A solution to this situation is the presented evolution of the jurisdiction of the Supreme Court. It moves towards establishing the beginning of legal and criminal protection of life and health at the "moment of emergence of objective grounds to necessitate delivery".

  12. How to minimize perceptual error and maximize expertise in medical imaging

    NASA Astrophysics Data System (ADS)

    Kundel, Harold L.

    2007-03-01

    Visual perception is such an intimate part of human experience that we assume that it is entirely accurate. Yet, perception accounts for about half of the errors made by radiologists using adequate imaging technology. The true incidence of errors that directly affect patient well being is not known but it is probably at the lower end of the reported values of 3 to 25%. Errors in screening for lung and breast cancer are somewhat better characterized than errors in routine diagnosis. About 25% of cancers actually recorded on the images are missed and cancer is falsely reported in about 5% of normal people. Radiologists must strive to decrease error not only because of the potential impact on patient care but also because substantial variation among observers undermines confidence in the reliability of imaging diagnosis. Observer variation also has a major impact on technology evaluation because the variation between observers is frequently greater than the difference in the technologies being evaluated. This has become particularly important in the evaluation of computer aided diagnosis (CAD). Understanding the basic principles that govern the perception of medical images can provide a rational basis for making recommendations for minimizing perceptual error. It is convenient to organize thinking about perceptual error into five steps. 1) The initial acquisition of the image by the eye-brain (contrast and detail perception). 2) The organization of the retinal image into logical components to produce a literal perception (bottom-up, global, holistic). 3) Conversion of the literal perception into a preferred perception by resolving ambiguities in the literal perception (top-down, simulation, synthesis). 4) Selective visual scanning to acquire details that update the preferred perception. 5) Apply decision criteria to the preferred perception. The five steps are illustrated with examples from radiology with suggestions for minimizing error. The role of perceptual

  13. Current pulse: can a production system reduce medical errors in health care?

    PubMed

    Printezis, Antonios; Gopalakrishnan, Mohan

    2007-01-01

    One of the reasons for rising health care costs is medical errors, a majority of which result from faulty systems and processes. Health care in the past has used process-based initiatives such as Total Quality Management, Continuous Quality Improvement, and Six Sigma to reduce errors. These initiatives to redesign health care, reduce errors, and improve overall efficiency and customer satisfaction have had moderate success. Current trend is to apply the successful Toyota Production System (TPS) to health care since its organizing principles have led to tremendous improvement in productivity and quality for Toyota and other businesses that have adapted them. This article presents insights on the effectiveness of TPS principles in health care and the challenges that lie ahead in successfully integrating this approach with other quality initiatives.

  14. Development of a Multipurpose Dataset to Evaluate Potential Medication Errors in Ambulatory Settings

    DTIC Science & Technology

    2005-01-01

    225 Development of a Multipurpose Dataset to Evaluate Potential Medication Errors in Ambulatory Settings K. Arnold Chan for the HMO Research...Network CERT Patient Safety Investigators Abstract Ten health maintenance organizations ( HMOs ) of the HMO Research Network Center for Education and...through June 30, 2001, were selected from each of the 10 HMOs . The study population included all of the health plan members in a randomly selected

  15. [The approaches to factors which cause medication error--from the analyses of many near-miss cases related to intravenous medication which nurses experienced].

    PubMed

    Kawamura, H

    2001-03-01

    Given the complexity of the intravenous medication process, systematic thinking is essential to reduce medication errors. Two thousand eight hundred cases of 'Hiyari-Hatto' were analyzed. Eight important factors which cause intravenous medication error were clarified as a result. In the following I summarize the systematic approach for each factor. 1. Failed communication of information: illegible handwritten orders, and inaccurate verbal orders and copying cause medication error. Rules must be established to prevent miscommunication. 2. Error-prone design of the hardware: Look-alike packaging and labeling of drugs and the poor design of infusion pumps cause errors. The human-hardware interface should be improved by error-resistant design by manufacturers. 3. Patient names similar to simultaneously operating surgical procedures and interventions: This factor causes patient misidentification. Automated identification devices should be introduced into health care settings. 4. Interruption in the middle of tasks: The efficient assignment of medical work and business work should be made. 5. Inaccurate mixing procedure and insufficient mixing space: Mixing procedures must be standardized and the layout of the working space must be examined. 6. Time pressure: Mismatch between workload and manpower should be improved by reconsidering the work to be done. 7. Lack of information about high alert medications: The pharmacist should play a greater role in the medication process overall. 8. Poor knowledge and skill of recent graduates: Training methods and tools to prevent medication errors must be developed.

  16. Low cost RFID real lightweight binding proof protocol for medication errors and patient safety.

    PubMed

    Yu, Yao-Chang; Hou, Ting-Wei; Chiang, Tzu-Chiang

    2012-04-01

    An Institute of Medicine Report stated there are 98,000 people annually who die due to medication related errors in the United States, and hospitals and other medical institutions are thus being pressed to use technologies to reduce such errors. One approach is to provide a suitable protocol that can cooperate with low cost RFID tags in order to identify patients. However, existing low cost RFID tags lack computational power and it is almost impossible to equip them with security functions, such as keyed hash function. To address this issue, a so a real lightweight binding proof protocol is proposed in this paper. The proposed protocol uses only logic gates (e.g. AND, XOR, ADD) to achieve the goal of proving that two tags exist in the field simultaneously, without the need for any complicated security algorithms. In addition, various scenarios are provider to explain the process of adopting this binding proof protocol with regard to guarding patient safety and preventing medication errors.

  17. Medical error reduction and tort reform through private, contractually-based quality medicine societies.

    PubMed

    MacCourt, Duncan; Bernstein, Joseph

    2009-01-01

    The current medical malpractice system is broken. Many patients injured by malpractice are not compensated, whereas some patients who recover in tort have not suffered medical negligence; furthermore, the system's failures demoralize patients and physicians. But most importantly, the system perpetuates medical error because the adversarial nature of litigation induces a so-called "Culture of Silence" in physicians eager to shield themselves from liability. This silence leads to the pointless repetition of error, as the open discussion and analysis of the root causes of medical mistakes does not take place as fully as it should. In 1993, President Clinton's Task Force on National Health Care Reform considered a solution characterized by Enterprise Medical Liability (EML), Alternative Dispute Resolution (ADR), some limits on recovery for non-pecuniary damages (Caps), and offsets for collateral source recovery. Yet this list of ingredients did not include a strategy to surmount the difficulties associated with each element. Specifically, EML might be efficient, but none of the enterprises contemplated to assume responsibility, i.e., hospitals and payers, control physician behavior enough so that it would be fair to foist liability on them. Likewise, although ADR might be efficient, it will be resisted by individual litigants who perceive themselves as harmed by it. Finally, while limitations on collateral source recovery and damages might effectively reduce costs, patients and trial lawyers likely would not accept them without recompense. The task force also did not place error reduction at the center of malpractice tort reform -a logical and strategic error, in our view. In response, we propose a new system that employs the ingredients suggested by the task force but also addresses the problems with each. We also explicitly consider steps to rebuff the Culture of Silence and promote error reduction. We assert that patients would be better off with a system where

  18. The Efficacy of Patients’ Wristband Bar-code on Prevention of Medical Errors

    PubMed Central

    Khammarnia, M.; Kassani, A.

    2015-01-01

    Summary Background Patient misidentification, as a major patient safety issue, occurs in any healthcare setting and leads to inappropriate medical procedures, diagnosis or treatment, with serious outcomes. Objectives The study aimed to investigate the effectiveness of wristband bar-code medication scanning to reduce medical errors (ME). Methods A meta-analysis study was conducted. The relevant studies were searched in PubMed, Embase, Cochrane Library, Web of Science and Scopus from 1990 to March 2015. Thereafter, the studies retrieved were screened based on predefined inclusion and exclusion criteria. Data were extracted, and the quality of the included studies was evaluated using the STROBE checklist. Results In total, 14 articles involving 483 cases were included. The meta-analysis indicated that the use of wristband bar-code medication scanning can reduce the ME around 57.5% (OR=0.425, 95% CI: 0.28-0.65, P<0.001). The study results showed a marked heterogeneity in the subgroup analysis (I-squared=98%). This was I2=70.35, P-value=0.018 for the type of samples and I2=99%, P-value<0.001 for years and countries. Conclusion Wristband bar-code medication scanning can decrease the ME in hospital setting. Since the patient’s safety is the main goal of the World Health Organization, it is recommended that a unique patient identification barcode should be used with name, medical record number, and bar-coded financial number. PMID:26767066

  19. Misinformation in the medical literature: what role do error and fraud play?

    PubMed

    Steen, R Grant

    2011-08-01

    Media attention to retracted research suggests that a substantial number of papers are corrupted by misinformation. In reality, every paper contains misinformation; at issue is whether the balance of correct versus incorrect information is acceptable. This paper postulates that analysis of retracted research papers can provide insight into medical misinformation, although retracted papers are not a random sample of incorrect papers. Error is the most common reason for retraction and error may be the principal cause of misinformation as well. Still, one-quarter of retracted papers are fraudulent, and misinformation may also arise through fraud. This paper hypothesises that error and fraud are the main sources of misinformation and that error is more common than fraud. Retraction removes misinformation from the literature; bias is non-retracted misinformation. Bias arises when scientific impropriety results in false research findings. Impropriety can involve experimental design, data collection, data analysis, or data presentation. Yet impropriety also arises through earnest error or statistical naiveté; not all bias is fraud. Several measures are proposed to minimise misinformation in the medical literature, including: greater detail in the clinical trial registry, with rigorous definition of inclusion and exclusion criteria and primary endpoints; clear statistical criteria for every aspect of clinical trials, especially sample size; responsibility for data integrity that accrues to all named authors; increased transparency as to how the costs of research were paid; and greater clarity as to the reasons for retraction. Misinformation can arise without malicious intent; authors of incorrect papers are owed a presumption of incompetence, not malice.

  20. Evaluation of nurses' errors associated in the preparation and administration of medication in a pediatric intensive care unit.

    PubMed

    Schneider, M P; Cotting, J; Pannatier, A

    1998-08-01

    The objectives of this study were to determine the frequency and the types of errors which occur regarding the preparation and the administration of medication and to identify the main causes of these errors in a pediatric intensive care unit (PICU) at the University Hospital in Lausanne (Switzerland). In this prospective study, based on the observation of nurses' activities, the data were collected over a period of 10 weeks. The error classification was based on the American Society of Hospital Pharmacy (ASHP) definitions. The frequency of errors was calculated as the sum of all noted errors divided by the total administered drugs, plus the sum of all omitted drugs, multiplied by 100. The sum of all given doses plus all omitted doses gives the 'total opportunity for errors'. This total was 275 and the total frequency of errors was 26.9%. The most frequent errors were wrong-time errors (32.4%), wrong-administration-technique errors (32.4%) and preparation errors (23.0%). In relation with other studies conducted under comparable conditions, a lesser number of omissions and wrong-time errors were observed. On the contrary, administration-technique and dose-preparation errors were more frequent at our hospital. A program of systematic assistance and survey by professional pharmacists could improve the quality of the preparation and administration of medication in the PICU.

  1. Errors and pitfalls: Briefing and accusation of medical malpractice – the second victim

    PubMed Central

    Wienke, Albrecht

    2013-01-01

    In June 2012, the German Medical Association (Bundesärztekammer) published the statistics of medical malpractice for 2011 (published at http://www.bundesaerztekammer.de). Still ENT-specific accusations of medical malpractice are by far the fewest in the field of hospitals and actually even in the outpatient context. Clearly most of the unforeseen incidents still occur in the disciplines of trauma surgery and orthopedics. In total, however, an increasing number of errors in treatment can be noticed on the multidisciplinary level: in 25.5% of the registered cases, an error in treatment was found to be the origin of damage to health justifying a claim for compensation of the patient. In the year before, it was only 24.7%. The reasons may be manifold, but the medical system itself certainly plays a major role in this context: the recent developments related to health policy lead to a continuous economisation of medical care. Rationing and limited remuneration more and more result in the fact that therapeutic decision are not exclusively made for the benefit of the patient but that they are oriented at economic or bureaucratic aspects. Thus, in the long term, practising medicine undergoes a change. According to the §§ 1, 3 of the professional code of conduct for doctors (Musterberufsordnung für Ärzte; MBO-Ä) medical practice as liberal profession is principally incompatible with the pursuit of profit, however, even doctors have to earn money which more and more makes him play the role of a businessman. Lack of personnel and staff savings lead to excessive workloads of physicians, caregivers, and nurses, which also favour errors. The quality and even the confidential relationship between doctor and patient, which is important for the treatment success, are necessarily affected by the cost pressure. The victims in this context are not only the patients but also the physicians find themselves in the continuous conflict between ethical requirements of their profession

  2. What should be the data sharing policy of cognitive science?

    PubMed

    Pitt, Mark A; Tang, Yun

    2013-01-01

    There is a growing chorus of voices in the scientific community calling for greater openness in the sharing of raw data that lead to a publication. In this commentary, we discuss the merits of sharing, common concerns that are raised, and practical issues that arise in developing a sharing policy. We suggest that the cognitive science community discuss the topic and establish a data-sharing policy.

  3. Secure, Policy-Based, Multi-Recipient Data Sharing

    DTIC Science & Technology

    2009-01-01

    Distribution Center KEM Key Encapsulation Mechanism KP-ABE Key-Policy Attribute-Based Encryption MS Messaging MTA Mail Transport Agent NASPI North American...architecture leveraging existing messaging systems. However providing end-to-end confidentiality remained a challenge given that a message sender may...standardized for e- mail in PEM [51], PGP [76], and S/MIME [59], and traditional identity-based encryption [15] enable two-party data sharing. However

  4. Medical error disclosure: from the therapeutic alliance to risk management: the vision of the new Italian code of medical ethics

    PubMed Central

    2014-01-01

    Background The Italian code of medical deontology recently approved stipulates that physicians have the duty to inform the patient of each unwanted event and its causes, and to identify, report and evaluate adverse events and errors. Thus the obligation to supply information continues to widen, in some way extending beyond the doctor-patient relationship to become an essential tool for improving the quality of professional services. Discussion The new deontological precepts intersect two areas in which the figure of the physician is paramount. On the one hand is the need for maximum integrity towards the patient, in the name of the doctor’s own, and the other’s (the patient’s) dignity and liberty; on the other is the physician’s developing role in the strategies of the health system to achieve efficacy, quality, reliability and efficiency, to reduce errors and adverse events and to manage clinical risk. Summary In Italy, due to guidelines issued by the Ministry of Health and to the new code of medical deontology, the role of physicians becomes a part of a complex strategy of risk management based on a system focused approach in which increasing transparency regarding adverse outcomes and full disclosure of health- related negative events represent a key factor. PMID:25023339

  5. Transforming Education Research Through Open Video Data Sharing

    PubMed Central

    Gilmore, Rick O.; Adolph, Karen E.; Millman, David S.; Gordon, Andrew

    2016-01-01

    Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many researchers who study teaching and learning in classroom, laboratory, museum, and home contexts use video as a primary source of raw research data. Unlike other measures, video captures the complexity, richness, and diversity of behavior. Moreover, because video is self-documenting, it presents significant potential for reuse. However, the potential for reuse goes largely unrealized because videos are rarely shared. Research videos contain information about participants’ identities making the materials challenging to share. The large size of video files, diversity of formats, and incompatible software tools pose technical challenges. The Databrary (databrary.org) digital library enables researchers who study learning and development to store, share, stream, and annotate videos. In this article, we describe how Databrary has overcome barriers to sharing research videos and associated data and metadata. Databrary has developed solutions for respecting participants’ privacy; for storing, streaming, and sharing videos; and for managing videos and associated metadata. The Databrary experience suggests ways that videos and other identifiable data collected in the context of educational research might be shared. Open data sharing enabled by Databrary can serve as a catalyst for a truly multidisciplinary science of learning. PMID:28042361

  6. Transforming Education Research Through Open Video Data Sharing.

    PubMed

    Gilmore, Rick O; Adolph, Karen E; Millman, David S; Gordon, Andrew

    2016-01-01

    Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many researchers who study teaching and learning in classroom, laboratory, museum, and home contexts use video as a primary source of raw research data. Unlike other measures, video captures the complexity, richness, and diversity of behavior. Moreover, because video is self-documenting, it presents significant potential for reuse. However, the potential for reuse goes largely unrealized because videos are rarely shared. Research videos contain information about participants' identities making the materials challenging to share. The large size of video files, diversity of formats, and incompatible software tools pose technical challenges. The Databrary (databrary.org) digital library enables researchers who study learning and development to store, share, stream, and annotate videos. In this article, we describe how Databrary has overcome barriers to sharing research videos and associated data and metadata. Databrary has developed solutions for respecting participants' privacy; for storing, streaming, and sharing videos; and for managing videos and associated metadata. The Databrary experience suggests ways that videos and other identifiable data collected in the context of educational research might be shared. Open data sharing enabled by Databrary can serve as a catalyst for a truly multidisciplinary science of learning.

  7. Beyond Our Borders? Public Resistance to Global Genomic Data Sharing

    PubMed Central

    Majumder, Mary A.

    2016-01-01

    Prospects have never seemed better for a truly global approach to science to improve human health, with leaders of national initiatives laying out their vision of a worldwide network of related projects. An extensive literature addresses obstacles to global genomic data sharing, yet a series of public polls suggests that the scientific community may be overlooking a significant barrier: potential public resistance to data sharing across national borders. In several large United States surveys, university researchers in other countries were deemed the least acceptable group of data users, and a just-completed US survey found a marked increase in privacy and security concerns related to data access by non-US researchers. Furthermore, diminished support for sharing beyond national borders is not unique to the US, although the limited data from outside the US suggest variation across countries as well as demographic groups. Possible sources of resistance include apprehension about privacy and security protections. Strategies for building public support include making the affirmative case for global data sharing, addressing privacy, security, and other legitimate concerns, and investigating public concerns in greater depth. PMID:27806054

  8. Enabling Interoperable and Selective Data Sharing among Social Networking Sites

    NASA Astrophysics Data System (ADS)

    Shin, Dongwan; Lopes, Rodrigo

    With the widespread use of social networking (SN) sites and even introduction of a social component in non-social oriented services, there is a growing concern over user privacy in general, how to handle and share user profiles across SN sites in particular. Although there have been several proprietary or open source-based approaches to unifying the creation of third party applications, the availability and retrieval of user profile information are still limited to the site where the third party application is run, mostly devoid of the support for data interoperability. In this paper we propose an approach to enabling interopearable and selective data sharing among SN sites. To support selective data sharing, we discuss an authenticated dictionary (ADT)-based credential which enables a user to share only a subset of her information certified by external SN sites with applications running on an SN site. For interoperable data sharing, we propose an extension to the OpenSocial API so that it can provide an open source-based framework for allowing the ADT-based credential to be used seamlessly among different SN sites.

  9. Beyond Our Borders? Public Resistance to Global Genomic Data Sharing.

    PubMed

    Majumder, Mary A; Cook-Deegan, Robert; McGuire, Amy L

    2016-11-01

    Prospects have never seemed better for a truly global approach to science to improve human health, with leaders of national initiatives laying out their vision of a worldwide network of related projects. An extensive literature addresses obstacles to global genomic data sharing, yet a series of public polls suggests that the scientific community may be overlooking a significant barrier: potential public resistance to data sharing across national borders. In several large United States surveys, university researchers in other countries were deemed the least acceptable group of data users, and a just-completed US survey found a marked increase in privacy and security concerns related to data access by non-US researchers. Furthermore, diminished support for sharing beyond national borders is not unique to the US, although the limited data from outside the US suggest variation across countries as well as demographic groups. Possible sources of resistance include apprehension about privacy and security protections. Strategies for building public support include making the affirmative case for global data sharing, addressing privacy, security, and other legitimate concerns, and investigating public concerns in greater depth.

  10. Exploring pathways to trust: a tribal perspective on data sharing.

    PubMed

    James, Rosalina; Tsosie, Rebecca; Sahota, Puneet; Parker, Myra; Dillard, Denise; Sylvester, Ileen; Lewis, John; Klejka, Joseph; Muzquiz, LeeAnna; Olsen, Polly; Whitener, Ron; Burke, Wylie

    2014-11-01

    The data-sharing policies of the National Institutes of Health aim to maximize public benefit derived from genetic studies by increasing research efficiency and use of a pooled data resource for future studies. Although broad access to data may lead to benefits for populations underrepresented in genetic studies, such as indigenous groups, tribes have ownership interest in their data. The Northwest-Alaska Pharmacogenetic Research Network, a partnership involving tribal organizations and universities conducting basic and translational pharmacogenetic research, convened a meeting to discuss the collection, management, and secondary use of research data, and of the processes surrounding access to data stored in federal repositories. This article reports the tribal perspectives that emerged from the dialogue and discusses the implications of tribal government sovereign status on research agreements and data-sharing negotiations. There is strong tribal support for efficient research processes that expedite the benefits from collaborative research, but there is also a need for data-sharing procedures that take into account tribal sovereignty and appropriate oversight of research--such as tribally based research review processes and review of draft manuscripts. We also note specific ways in which accountability could be encouraged by the National Institutes of Health as part of the research process.

  11. Exploring Pathways to Trust: A Tribal Perspective on Data Sharing

    PubMed Central

    James, Rosalina; Tsosie, Rebecca; Sahota, Puneet; Parker, Myra; Dillard, Denise; Sylvester, Ileen; Lewis, John; Klejka, Joseph; Muzquiz, LeeAnna; Olsen, Polly; Whitener, Ron; Burke, Wylie

    2014-01-01

    National Institutes of Health data-sharing policies aim to maximize public benefit derived from genetic studies by increasing research efficiency and the use of a pooled data resource for future studies. While broad access to data may lead to benefits for populations underrepresented in genetic studies, such as indigenous groups, tribes have ownership interest in their data. The Northwest-Alaska Pharmacogenetic Research Network, a partnership involving tribal organizations and universities conducting basic and translational pharmacogenetic research, convened a meeting to discuss the collection, management, and secondary use of research data, and of the processes surrounding access to data stored in federal repositories. This article reports on tribal perspectives that emerged from the dialogue and discusses the implications of tribal government sovereign status on research agreements and data-sharing negotiations. There is strong tribal support for efficient research processes that expedite the benefits from collaborative research, but there is also a need for data sharing procedures that take into account tribal sovereignty and appropriate oversight of research ¬ such as tribally-based research review processes and review of draft manuscripts. We also note specific ways in which accountability could be encouraged by National Institutes of Health as part of the research process. PMID:24830328

  12. Defining and classifying medical error: lessons for patient safety reporting systems

    PubMed Central

    Tamuz, M; Thomas, E; Franchois, K

    2004-01-01

    Background: It is important for healthcare providers to report safety related events, but little attention has been paid to how the definition and classification of events affects a hospital's ability to learn from its experience. Objectives: To examine how the definition and classification of safety related events influences key organizational routines for gathering information, allocating incentives, and analyzing event reporting data. Methods: In semi-structured interviews, professional staff and administrators in a tertiary care teaching hospital and its pharmacy were asked to describe the existing programs designed to monitor medication safety, including the reporting systems. With a focus primarily on the pharmacy staff, interviews were audio recorded, transcribed, and analyzed using qualitative research methods. Results: Eighty six interviews were conducted, including 36 in the hospital pharmacy. Examples are presented which show that: (1) the definition of an event could lead to under-reporting; (2) the classification of a medication error into alternative categories can influence the perceived incentives and disincentives for incident reporting; (3) event classification can enhance or impede organizational routines for data analysis and learning; and (4) routines that promote organizational learning within the pharmacy can reduce the flow of medication error data to the hospital. Discussion: These findings from one hospital raise important practical and research questions about how reporting systems are influenced by the definition and classification of safety related events. By understanding more clearly how hospitals define and classify their experience, we may improve our capacity to learn and ultimately improve patient safety. PMID:14757794

  13. No-fault compensation for medical injuries: the prospect for error prevention.

    PubMed

    Studdert, D M; Brennan, T A

    2001-07-11

    Leading patient safety proposals promote the design and implementation of error prevention strategies that target systems used to deliver care and eschew individual blame. They also call for candor among practitioners about the causes and consequences of medical injury. Both goals collide with fundamental tenets of the medical malpractice system. Thus, the challenge of addressing error in medicine demands a thorough reconsideration of the legal mechanisms currently used to deal with harms in health care. In this article, we describe an alternative to litigation that does not predicate compensation on proof of practitioner fault, suggest how it might be operationalized, and argue that there is a pressing need to test its promise. We tackle traditional criticisms of "no-fault" compensation systems for medical injury-specifically, concerns about their cost and the presumption that eliminating liability will dilute incentives to deliver high-quality care. Our recent empirical work suggests that a model designed around avoidable or preventable injuries, as opposed to negligent ones, would not exceed the costs of current malpractice systems in the United States. Implementation of such a model promises to promote quality by harmonizing injury compensation with patient safety objectives, especially if it is linked to reforms that make institutions, rather than individuals, primarily answerable for injuries.

  14. Building and Sustaining International Scientific Partnerships Through Data Sharing

    NASA Astrophysics Data System (ADS)

    Ramamurthy, M. K.; Yoksas, T.; Miller, L.

    2007-05-01

    Understanding global environmental processes and their regional linkages has heightened the importance of full, open, and timely access to earth system science data and strong international scientific partnerships. To that end, the Unidata Program at the University Corporation for Atmospheric Research has developed a growing portfolio of international outreach activities, conducted in close collaboration with academic, research and operational institutions on several continents. The overarching goals of Unidata's international activities include: - democratization of access-to and use-of data that describe the dynamic earth system - building capacity and empowering geoscientists and educators worldwide - strengthening international science partnerships for exchanging knowledge and expertise - effectuating sustainable cultural changes that recognize the benefits of data sharing, and - helping to build regional and global communities around specific geoscientific themes Using an Internet-based data sharing network, Unidata has made great strides in establishing the underpinnings of a worldwide data sharing network. To date, over 160 institutions of higher education worldwide are participating in this data sharing effort. The Internet Data Distribution (IDD) system, as it is known, was originally developed for sharing mostly atmospheric science data among U.S. institutions. It has now been extended beyond North America into a system of interconnected regional data networks encompassing Latin America, the Caribbean, Antarctica, Asia, Europe, and most recently Africa. The adoption of the IDD concept in Brazil has been so successful that Brazil now ranks second behind the U. S. in the number of institutions participating in their own regionally customized and managed data sharing network, which is dubbed the IDD-Brazil. Another noteworthy data distribution network, Antarctic IDD, is leveraging the IDD system for the benefit of the Antarctic meteorological research

  15. Deploying information technology and continuous control monitoring systems in hospitals to prevent medication errors.

    PubMed

    Escobar-Rodríguez, Tomás; Monge-Lozano, Pedro; Romero-Alonso, Ma Mercedes; Bolívar-Raya, Ma Antonia

    2012-01-01

    The serious repercussions of healthcare errors on patient safety have led hospitals to deploy information technology and continuous control monitoring systems to prevent them. Hospitals are moving away from traditional paper-based systems and focusing on designing new systems that prevent errors, using information technologies to catalyse the process re-engineering. This paper presents a case study that analyses the effect of computerised physician order entry and automated unit-based medication storage and distribution systems on the drug ordering and delivery process. It is concluded that information technology and continuous control monitoring systems have led to significant process re-engineering in the sequential stages of the drug ordering and delivery system. The new systems have also provided the opportunity to improve information available. This is an exploratory case study and the conclusions drawn from it offer possible routes for future research in this field.

  16. [Witch trials in the Salem as a medical error. Witch hunts in the XVII century and the medical art].

    PubMed

    Werner, Wiktor

    2005-01-01

    That article concerns with the influences of medical practitioners in witch hunts in the Salem (1692). Witch trials in England and English colonies in the XVII century were mainly criminal trials. Witchcraft had been there considered principally as a crime-tool rather then the crime itself. Witches were usually accused of crimes such as the murder and the disease sending. Physicians normally played in that situations the role of court experts. They decided if analyzed disease had normal or abnormal, artificial origin. In the Salem an medical practitioner judged that an illness which touched some children had come from the acts of sorcery. That was the beginning of a long and bloody witch hunt. Death sentences in the Salem trial were also justified with applying medical and physical categories to show the objectivity of a witchcraft. Salem judges were sure that by using "objective" categories they had been able to proof the existence of material relations between the witch and bewitched persons without the possibility of error.

  17. Comparison of consumers’ views on electronic data sharing for healthcare and research

    PubMed Central

    Joseph, Jill G; Ohno-Machado, Lucila

    2015-01-01

    New models of healthcare delivery such as accountable care organizations and patient-centered medical homes seek to improve quality, access, and cost. They rely on a robust, secure technology infrastructure provided by health information exchanges (HIEs) and distributed research networks and the willingness of patients to share their data. There are few large, in-depth studies of US consumers’ views on privacy, security, and consent in electronic data sharing for healthcare and research together. Objective This paper addresses this gap, reporting on a survey which asks about California consumers’ views of data sharing for healthcare and research together. Materials and Methods The survey conducted was a representative, random-digit dial telephone survey of 800 Californians, performed in Spanish and English. Results There is a great deal of concern that HIEs will worsen privacy (40.3%) and security (42.5%). Consumers are in favor of electronic data sharing but elements of transparency are important: individual control, who has access, and the purpose for use of data. Respondents were more likely to agree to share deidentified information for research than to share identified information for healthcare (76.2% vs 57.3%, p < .001). Discussion While consumers show willingness to share health information electronically, they value individual control and privacy. Responsiveness to these needs, rather than mere reliance on Health Insurance Portability and Accountability Act (HIPAA), may improve support of data networks. Conclusion Responsiveness to the public’s concerns regarding their health information is a pre-requisite for patient-centeredness. This is one of the first in-depth studies of attitudes about electronic data sharing that compares attitudes of the same individual towards healthcare and research. PMID:25829461

  18. IMPACT Observatory: tracking the evolution of clinical trial data sharing and research integrity

    PubMed Central

    Krleža-Jerić, Karmela; Gabelica, Mirko; Banzi, Rita; Martinić, Marina Krnić; Pulido, Bibiana; Mahmić-Kaknjo, Mersiha; Reveiz, Ludovic; Šimić, Josip; Utrobičić, Ana; Hrgović, Irena

    2016-01-01

    Introduction The opening of research data is emerging thanks to the increasing possibilities of digital technology. The opening of clinical trial (CT) data is a part of this process, expected to have positive scientific, ethical, health, and economic impacts thus contributing to research integrity. The January 2016 proposal by the International Council of Medical Journal Editors triggered ample discussion about CT data sharing and reconfirmed the need for an ongoing assessment of its dynamics. The IMProving Access to Clinical Trials data (IMPACT) Observatory aims to play such a role, and assess the data sharing culture, policies, and practices of key players, the impact of their interventions on CTs, and contribute to a transformation of research. The objective of this paper is to present the IMPACT Observatory as well as share some of its preliminary findings. Materials and methods Methods include a scoping study of research, surveys, interviews, and an environmental scan of research data repositories. Results Our preliminary findings indicate that although opening of CT data has not yet been achieved, its evolution is encouraging. Initiatives by key players contribute to increasing of CT data sharing, and many barriers are shrinking or disappearing. Conclusions The major barrier is the lack of data sharing standards, from preparing data for public sharing to its curatorship, findability and access. However, experiences accumulated by sharing CT data according to “upon request” or “open” mechanisms could inform the development of such standards. The Vivli, CORBEL-ECRIN and Open Trials projects are currently working in this direction. PMID:27812300

  19. What do we know about medication errors made via a CPOE system versus those made via handwritten orders?

    PubMed

    Koppel, Ross

    2005-10-05

    This commentary on the article by Shulman et al. examines what we understand by 'medication errors', what we mean by 'computerized physician order entry (CPOE) systems', how we measure errors, and what types of errors we are 'reducing' with CPOE systems. As the research of Shulman and colleagues highlights, much of the existing research on CPOE systems does not differentiate among: types of medication errors; consequential versus inconsequential medication errors; CPOE systems that include/exclude formal decision support packages; and the extent to which decision support information is implicitly presented to physicians via the CPOE system, for example, pull down menus with dosages. I discuss these issues and their implications for the evaluation of CPOE systems and of other emerging healthcare technologies.

  20. The Perruche case and the issue of compensation for the consequences of medical error.

    PubMed

    Costich, Julia Field

    2006-08-22

    The case of Nicolas Perruche gave rise to a national debate in France over compensation for serious consequences of medical error. Ultimately, legislation was enacted banning the cause of action known in Anglo-American law as wrongful life, and an agency was established to adjudicate subsequent claims. As other developed nations continue to wrestle with rapid increases in the cost of professional liability coverage and health care in general, a review of the Perruche case and its influence on French health policy may advance the discussion beyond the current stalemate of hardened advocacy positions.

  1. The effect of nurse staffing patterns on medical errors and nurse burnout.

    PubMed

    Garrett, Connie

    2008-06-01

    Hospital administrators frequently rely on the use of mandatory or voluntary overtime to cover staff nurse vacancies. This practice is common in the perioperative setting, but it can lead to staff-member fatigue that may adversely affect patient safety. This literature review explores the effect that nurse staffing patterns have on the frequency of medical errors, fatigue, and nurse burnout. The evidence indicates that inadequate nurse staffing leads to adverse patient outcomes and increased nurse burnout. Hospital administrators should invest in adequate nurse staffing to improve patient safety and increase nurse retention.

  2. Task and error analysis balancing benefits over business of electronic medical records.

    PubMed

    Carstens, Deborah Sater; Rodriguez, Walter; Wood, Michael B

    2014-01-01

    Task and error analysis research was performed to identify: a) the process for healthcare organisations in managing healthcare for patients with mental illness or substance abuse; b) how the process can be enhanced and; c) if electronic medical records (EMRs) have a role in this process from a business and safety perspective. The research question is if EMRs have a role in enhancing the healthcare for patients with mental illness or substance abuse. A discussion on the business of EMRs is addressed to understand the balancing act between the safety and business aspects of an EMR.

  3. Open data sharing in the context of bioresources.

    PubMed

    De Castro, Paola; Calzolari, Alessia; Napolitani, Federica; Maria Rossi, Anna; Mabile, Laurence; Cambon-Thomsen, Anne; Bravo, Elena

    2013-12-01

    Recently many international initiatives have been developed to improve access to scientific information and to promote open data sharing. In the complex field of bioresources, the BRIF (Bioresource Research Impact Factor) project aims to create suitable methods to recognise and measure the use and impact of biological resources in scientific/academic work, in order to maximize access by researchers to collections of biological materials and attached databases, and to recognize efforts involved in their maintenance. The lack of a proper recognition of scientific contribution is in fact a major obstacle which impedes bioresource sharing. In this context, the BRIF initiative can be considered as a tool to facilitate research resource sharing.

  4. MERIS (Medical Error Reporting Information System) as an innovative patient safety intervention: a health policy perspective.

    PubMed

    Riga, Marina; Vozikis, Athanassios; Pollalis, Yannis; Souliotis, Kyriakos

    2015-04-01

    The economic crisis in Greece poses the necessity to resolve problems concerning both the spiralling cost and the quality assurance in the health system. The detection and the analysis of patient adverse events and medical errors are considered crucial elements of this course. The implementation of MERIS embodies a mandatory module, which adopts the trigger tool methodology for measuring adverse events and medical errors an intensive care unit [ICU] environment, and a voluntary one with web-based public reporting methodology. A pilot implementation of MERIS running in a public hospital identified 35 adverse events, with approx. 12 additional hospital days and an extra healthcare cost of €12,000 per adverse event or of about €312,000 per annum for ICU costs only. At the same time, the voluntary module unveiled 510 reports on adverse events submitted by citizens or patients. MERIS has been evaluated as a comprehensive and effective system; it succeeded in detecting the main factors that cause adverse events and discloses severe omissions of the Greek health system. MERIS may be incorporated and run efficiently nationally, adapted to the needs and peculiarities of each hospital or clinic.

  5. A systematic approach of tracking and reporting medication errors at a tertiary care university hospital, Karachi, Pakistan

    PubMed Central

    Khowaja, Khurshid; Nizar, Rozmin; Merchant, Rashida J; Dias, Jacqueline; Bustamante-Gavino, Irma; Malik, Amina

    2008-01-01

    Introduction: Administering medication is one of the high risk areas for any health professional. It is a multidisciplinary process, which begins with the doctor’s prescription, followed by review and provision by a pharmacist, and ends with preparation and administration by a nurse. Several studies have highlighted a high medication incident rate at several healthcare institutions. Methods: Our study design was exploratory and evaluative and used methodological triangulation. Sample size was of two types. First, a convenient sample of 1000 medication dosages to estimate the medication error (95% CI). We took another sample from subjects involved in medication usage processes such as physicians, nurses, pharmacists, and patients. Two sets of instruments were designed via extensive literature review: a medication tracking error form and a focus group interview questionnaire. Results: Our study findings revealed 100% compliance with a computerized physician order entry (CPOE) system by physicians, nurses, and pharmacists. The main error rate was 5.5% and pharmacists contributed an higher error rate of 2.6% followed by nurses (1.1%) and physicians (1%). Major areas for improvement in error rates were identified: delay in medication delivery, lab results reviewed electronically before prescription, dispension, and administration. PMID:19209247

  6. An “Ethical Moment” in Data Sharing

    PubMed Central

    2016-01-01

    This study draws on interviews with forty-nine members of a biomedical research community in the UK that is involved in negotiating data sharing and access. During an interview, an interviewee used the words “ethical moment” to describe a confrontation between collaborators in relation to data sharing. In this article, I use this as a lens for thinking about relations between “the conceptual and the empirical” in a way that allows both analyst and actor to challenge the status quo and consider other ethical possibilities. Drawing on actor network theory (ANT), I approach “the empirical” using the concepts of controversy and ontological uncertainty as methodological tools to tackle the problem of ethics. I suggest that these concepts also provide a bridge for understanding the ontological structure of the virtual and the actual, as described in Deleuze’s Difference and Repetition. While other science and technology studies scholars have sought to draw on Deleuze, this article addresses the integration of ethics and empirical research. It arises as a critical reaction to existing treatments of this problem as found in empirical ethics, especially in the sociology of bioethics, and indirectly in ANT texts. PMID:28018016

  7. Investigating the Causes of Medication Errors and Strategies to Prevention of Them from Nurses and Nursing Student Viewpoint

    PubMed Central

    Gorgich, Enam Alhagh Charkhat; Barfroshan, Sanam; Ghoreishi, Gholamreza; Yaghoobi, Maryam

    2016-01-01

    Introduction and Aim: Medication errors as a serious problem in world and one of the most common medical errors that threaten patient safety and may lead to even death of them. The purpose of this study was to investigate the causes of medication errors and strategies to prevention of them from nurses and nursing student viewpoint. Materials & Methods: This cross-sectional descriptive study was conducted on 327 nursing staff of khatam-al-anbia hospital and 62 intern nursing students in nursing and midwifery school of Zahedan, Iran, enrolled through the availability sampling in 2015. The data were collected by the valid and reliable questionnaire. To analyze the data, descriptive statistics, T-test and ANOVA were applied by use of SPSS16 software. Findings: The results showed that the most common causes of medications errors in nursing were tiredness due increased workload (97.8%), and in nursing students were drug calculation, (77.4%). The most important way for prevention in nurses and nursing student opinion, was reducing the work pressure by increasing the personnel, proportional to the number and condition of patients and also creating a unit as medication calculation. Also there was a significant relationship between the type of ward and the mean of medication errors in two groups. Conclusion: Based on the results it is recommended that nurse-managers resolve the human resources problem, provide workshops and in-service education about preparing medications, side-effects of drugs and pharmacological knowledge. Using electronic medications cards is a measure which reduces medications errors. PMID:27045413

  8. Unintentional Pharmaceutical-Related Medication Errors Caused by Laypersons Reported to the Toxicological Information Centre in the Czech Republic.

    PubMed

    Urban, Michal; Leššo, Roman; Pelclová, Daniela

    2016-07-01

    The purpose of the article was to study unintentional pharmaceutical-related poisonings committed by laypersons that were reported to the Toxicological Information Centre in the Czech Republic. Identifying frequency, sources, reasons and consequences of the medication errors in laypersons could help to reduce the overall rate of medication errors. Records of medication error enquiries from 2013 to 2014 were extracted from the electronic database, and the following variables were reviewed: drug class, dosage form, dose, age of the subject, cause of the error, time interval from ingestion to the call, symptoms, prognosis at the time of the call and first aid recommended. Of the calls, 1354 met the inclusion criteria. Among them, central nervous system-affecting drugs (23.6%), respiratory drugs (18.5%) and alimentary drugs (16.2%) were the most common drug classes involved in the medication errors. The highest proportion of the patients was in the youngest age subgroup 0-5 year-old (46%). The reasons for the medication errors involved the leaflet misinterpretation and mistaken dose (53.6%), mixing up medications (19.2%), attempting to reduce pain with repeated doses (6.4%), erroneous routes of administration (2.2%), psychiatric/elderly patients (2.7%), others (9.0%) or unknown (6.9%). A high proportion of children among the patients may be due to the fact that children's dosages for many drugs vary by their weight, and more medications come in a variety of concentrations. Most overdoses could be prevented by safer labelling, proper cap closure systems for liquid products and medication reconciliation by both physicians and pharmacists.

  9. CalSWIM: A Wiki-Based Data Sharing Platform

    NASA Astrophysics Data System (ADS)

    Ganjisaffar, Yasser; Javanmardi, Sara; Grant, Stanley; Lopes, Cristina Videira

    Organizations increasingly create massive internal digital data repositories and are looking for technical advances in managing, exchanging and integrating explicit knowledge. While most of the enabling technologies for knowledge management have been used around for several years, the ability to cost effective data sharing, integration and analysis into a cohesive infrastructure evaded organizations until the advent of Web 2.0 applications. In this paper, we discuss our investigations into using a Wiki as a web-based interactive knowledge management system, which is integrated with some features for easy data access, data integration and analysis. Using the enhanced wiki, it possible to make organizational knowledge sustainable, expandable, outreaching and continually up-to-date. The wiki is currently under use as California Sustainable Watershed Information Manager. We evaluate our work according to the requirements of knowledge management systems. The result shows that our solution satisfies more requirements compared to other tools.

  10. Investigating a unilateral pleural effusion: A tale of a medical error and diagnostic delays

    PubMed Central

    Welagedara, Suminda; Swe, Tokyo Moe; Sriram, Krishna Bajee

    2017-01-01

    We report the case of an elderly Asian man where a medical error and diagnostic delays obscured the diagnosis of pleural tuberculosis (TB). The patient was hospitalized for evaluation of a unilateral pleural effusion. Initially, the patient was subjected to a pleural aspiration on the wrong side due to a lack of bedside ultrasound guidance. Subsequently, the patient underwent several investigations but not a blind closed pleural biopsy (BCPB) due to a lack of equipment. Furthermore, the patient was deemed to be too sick to undergo a thoracoscopic pleural procedure. Eventually, a bronchoscopy was performed, and washings from the right upper lobe were cultured, which established the diagnosis of TB. This case highlights the need to use bedside ultrasound in the investigation of pleural effusions, the role of BCPB especially in frail patients and finally the utility of bronchoscopy in establishing a diagnosis of pleural TB. PMID:28144068

  11. Understanding the causes of intravenous medication administration errors in hospitals: a qualitative critical incident study

    PubMed Central

    Keers, Richard N; Williams, Steven D; Cooke, Jonathan; Ashcroft, Darren M

    2015-01-01

    Objectives To investigate the underlying causes of intravenous medication administration errors (MAEs) in National Health Service (NHS) hospitals. Setting Two NHS teaching hospitals in the North West of England. Participants Twenty nurses working in a range of inpatient clinical environments were identified and recruited using purposive sampling at each study site. Primary outcome measures Semistructured interviews were conducted with nurse participants using the critical incident technique, where they were asked to discuss perceived causes of intravenous MAEs that they had been directly involved with. Transcribed interviews were analysed using the Framework approach and emerging themes were categorised according to Reason's model of accident causation. Results In total, 21 intravenous MAEs were discussed containing 23 individual active failures which included slips and lapses (n=11), mistakes (n=8) and deliberate violations of policy (n=4). Each active failure was associated with a range of error and violation provoking conditions. The working environment was implicated when nurses lacked healthcare team support and/or were exposed to a perceived increased workload during ward rounds, shift changes or emergencies. Nurses frequently reported that the quality of intravenous dose-checking activities was compromised due to high perceived workload and working relationships. Nurses described using approaches such as subconscious functioning and prioritising to manage their duties, which at times contributed to errors. Conclusions Complex interactions between active and latent failures can lead to intravenous MAEs in hospitals. Future interventions may need to be multimodal in design in order to mitigate these risks and reduce the burden of intravenous MAEs. PMID:25770226

  12. Occurrence of Medication Errors and Comparison of Manual and Computerized Prescription Systems in Public Sector Hospitals in Lahore, Pakistan

    PubMed Central

    Riaz, Muhammad Kashif; Hashmi, Furqan Khurshid; Bukhari, Nadeem Irfan; Riaz, Mohammad; Hussain, Khalid

    2014-01-01

    The knowledge of medication errors is an essential prerequisite for better healthcare delivery. The present study investigated prescribing errors in prescriptions from outpatient departments (OPDs) and emergency wards of two public sector hospitals in Lahore, Pakistan. A manual prescription system was followed in Hospital A. Hospital B was running a semi-computerised prescription system in the OPD and a fully computerised prescription system in the emergency ward. A total of 510 prescriptions from both departments of these two hospitals were evaluated for patient characteristics, demographics and medication errors. The data was analysed using a chi square test for comparison of errors between both the hospitals. The medical departments in OPDs of both hospitals were the highest prescribers at 45%–60%. The age group receiving the most treatment in emergency wards of both the hospitals was 21–30 years (21%–24%). A trend of omitting patient addresses and diagnoses was observed in almost all prescriptions from both of the hospitals. Nevertheless, patient information such as name, age, gender and legibility of the prescriber’s signature were found in almost 100% of the electronic-prescriptions. In addition, no prescribing error was found pertaining to drug concentrations, quantity and rate of administration in e-prescriptions. The total prescribing errors in the OPD and emergency ward of Hospital A were found to be 44% and 60%, respectively. In hospital B, the OPD had 39% medication errors and the emergency department had 73.5% errors; this unexpected difference between the emergency ward and OPD of hospital B was mainly due to the inclusion of 69.4% omissions of route of administration in the prescriptions. The incidence of prescription overdose was approximately 7%–19% in the manual system and approximately 8% in semi and fully electronic system. The omission of information and incomplete information are contributors of prescribing errors in both manual and

  13. Occurrence of medication errors and comparison of manual and computerized prescription systems in public sector hospitals in Lahore, Pakistan.

    PubMed

    Riaz, Muhammad Kashif; Hashmi, Furqan Khurshid; Bukhari, Nadeem Irfan; Riaz, Mohammad; Hussain, Khalid

    2014-01-01

    The knowledge of medication errors is an essential prerequisite for better healthcare delivery. The present study investigated prescribing errors in prescriptions from outpatient departments (OPDs) and emergency wards of two public sector hospitals in Lahore, Pakistan. A manual prescription system was followed in Hospital A. Hospital B was running a semi-computerised prescription system in the OPD and a fully computerised prescription system in the emergency ward. A total of 510 prescriptions from both departments of these two hospitals were evaluated for patient characteristics, demographics and medication errors. The data was analysed using a chi square test for comparison of errors between both the hospitals. The medical departments in OPDs of both hospitals were the highest prescribers at 45%-60%. The age group receiving the most treatment in emergency wards of both the hospitals was 21-30 years (21%-24%). A trend of omitting patient addresses and diagnoses was observed in almost all prescriptions from both of the hospitals. Nevertheless, patient information such as name, age, gender and legibility of the prescriber's signature were found in almost 100% of the electronic-prescriptions. In addition, no prescribing error was found pertaining to drug concentrations, quantity and rate of administration in e-prescriptions. The total prescribing errors in the OPD and emergency ward of Hospital A were found to be 44% and 60%, respectively. In hospital B, the OPD had 39% medication errors and the emergency department had 73.5% errors; this unexpected difference between the emergency ward and OPD of hospital B was mainly due to the inclusion of 69.4% omissions of route of administration in the prescriptions. The incidence of prescription overdose was approximately 7%-19% in the manual system and approximately 8% in semi and fully electronic system. The omission of information and incomplete information are contributors of prescribing errors in both manual and electronic

  14. Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US.

    PubMed

    Sanderson, Saskia C; Brothers, Kyle B; Mercaldo, Nathaniel D; Clayton, Ellen Wright; Antommaria, Armand H Matheny; Aufox, Sharon A; Brilliant, Murray H; Campos, Diego; Carrell, David S; Connolly, John; Conway, Pat; Fullerton, Stephanie M; Garrison, Nanibaa' A; Horowitz, Carol R; Jarvik, Gail P; Kaufman, David; Kitchner, Terrie E; Li, Rongling; Ludman, Evette J; McCarty, Catherine A; McCormick, Jennifer B; McManus, Valerie D; Myers, Melanie F; Scrol, Aaron; Williams, Janet L; Shrubsole, Martha J; Schildcrout, Jonathan S; Smith, Maureen E; Holm, Ingrid A

    2017-03-02

    Individuals participating in biobanks and other large research projects are increasingly asked to provide broad consent for open-ended research use and widespread sharing of their biosamples and data. We assessed willingness to participate in a biobank using different consent and data sharing models, hypothesizing that willingness would be higher under more restrictive scenarios. Perceived benefits, concerns, and information needs were also assessed. In this experimental survey, individuals from 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one of three hypothetical scenarios: tiered consent and controlled data sharing; broad consent and controlled data sharing; or broad consent and open data sharing. Of 82,328 eligible individuals, exactly 13,000 (15.8%) completed the survey. Overall, 66% (95% CI: 63%-69%) of population-weighted respondents stated they would be willing to participate in a biobank; willingness and attitudes did not differ between respondents in the three scenarios. Willingness to participate was associated with self-identified white race, higher educational attainment, lower religiosity, perceiving more research benefits, fewer concerns, and fewer information needs. Most (86%, CI: 84%-87%) participants would want to know what would happen if a researcher misused their health information; fewer (51%, CI: 47%-55%) would worry about their privacy. The concern that the use of broad consent and open data sharing could adversely affect participant recruitment is not supported by these findings. Addressing potential participants' concerns and information needs and building trust and relationships with communities may increase acceptance of broad consent and wide data sharing in biobank research.

  15. Reduction of medication errors related to sliding scale insulin by the introduction of a standardized order sheet.

    PubMed

    Harada, Saki; Suzuki, Akio; Nishida, Shohei; Kobayashi, Ryo; Tamai, Sayuri; Kumada, Keisuke; Murakami, Nobuo; Itoh, Yoshinori

    2016-12-07

    Insulin is frequently used for glycemic control. Medication errors related to insulin are a common problem for medical institutions. Here, we prepared a standardized sliding scale insulin (SSI) order sheet and assessed the effect of its introduction. Observations before and after the introduction of the standardized SSI template were conducted at Gifu University Hospital. The incidence of medication errors, hyperglycemia, and hypoglycemia related to SSI were obtained from the electronic medical records. The introduction of the standardized SSI order sheet significantly reduced the incidence of medication errors related to SSI compared with that prior to its introduction (12/165 [7.3%] vs 4/159 [2.1%], P = .048). However, the incidence of hyperglycemia (≥250 mg/dL) and hypoglycemia (≤50 mg/dL) in patients who received SSI was not significantly different between the 2 groups. The introduction of the standardized SSI order sheet reduced the incidence of medication errors related to SSI.

  16. Warfarin and Rivaroxaban Duplication: A Case Report and Medication Error Analysis.

    PubMed

    Fusco, Julie A; Paulus, Eric J; Shubat, Alexandra R; Miah, Sharminara

    2015-12-01

    A 62-year-old African American man received unintentional duplicate anticoagulation therapy with warfarin 5 mg and rivaroxaban 20 mg daily for the treatment of recurrent pulmonary embolism. The patient presented to the anticoagulation clinic 6 days after hospital discharge with an International Normalized Ratio (INR) of 2.3 and he was instructed to continue warfarin 5 mg daily. Seven days later, he returned to the clinic with an INR >8.0 using a point-of-care device. He denied any signs or symptoms of bleeding. During the interview, he reported starting a new medication for neuropathy 5 days earlier. The clinical pharmacist contacted the dispensing pharmacy and determined rivaroxaban 20 mg was the new medication. The patient denied receiving new prescription counseling at the dispensing pharmacy. Because rivaroxaban can falsely elevate INR results, the actual INR value was unknown. To minimize the risk for recurrent venous thromboembolism, vitamin K was not administered and no warfarin doses were held. Rather, the patient was instructed to stop rivaroxaban and reduce the warfarin dose. Five days later, the patient returned with an INR of 4.3. He still had not experienced any signs or symptoms of bleeding. The patient was quickly stabilized on a warfarin maintenance dose of 22.5 mg weekly. The anticoagulation clinic pharmacist notified management at the clinic and at the dispensing pharmacy in an effort to identify process errors and prevent additional incidents.

  17. Can Utilizing a Computerized Provider Order Entry (CPOE) System Prevent Hospital Medical Errors and Adverse Drug Events?

    PubMed Central

    Charles, Krista; Cannon, Margaret; Hall, Robert; Coustasse, Alberto

    2014-01-01

    Computerized provider order entry (CPOE) systems allow physicians to prescribe patient services electronically. In hospitals, CPOE essentially eliminates the need for handwritten paper orders and achieves cost savings through increased efficiency. The purpose of this research study was to examine the benefits of and barriers to CPOE adoption in hospitals to determine the effects on medical errors and adverse drug events (ADEs) and examine cost and savings associated with the implementation of this newly mandated technology. This study followed a methodology using the basic principles of a systematic review and referenced 50 sources. CPOE systems in hospitals were found to be capable of reducing medical errors and ADEs, especially when CPOE systems are bundled with clinical decision support systems designed to alert physicians and other healthcare providers of pending lab or medical errors. However, CPOE systems face major barriers associated with adoption in a hospital system, mainly high implementation costs and physicians’ resistance to change. PMID:25593568

  18. Impact of computerised provider order entry system on nursing workflow, patient safety, and medication errors: perspectives from the front line.

    PubMed

    Alsweed, Fatimah; Alshaikh, Anwar; Ahmed, Anwar; Yunus, Faisel; Househ, Mowafa

    2014-01-01

    There is a paucity of research on the impact of computerised provider order entry (CPOE) system on the front line staff. We assessed nurses perspectives of the impact of CPOE system implementation on their workflow, patient safety and medication errors in a Saudi Arabian hospital. We conducted a cross-sectional survey involving 112 nurses between April and May 2012. The workflow was easy to manage for nurses who rated CPOE training as of good quality (p = 0.001) and they found that CPOE helped in reducing medication errors (p = 0.001). The nurses who rated CPOE training as of good quality also stated that patient safety was better with CPOE implementation and its use (p < 0.05). Provision of adequate CPOE training improves nurses' perception of the system's role in their workflow, patient safety and medication errors, and is critical in the success of CPOE use and its long-term adoption.

  19. Data sharing in large research consortia: experiences and recommendations from ENGAGE.

    PubMed

    Budin-Ljøsne, Isabelle; Isaeva, Julia; Knoppers, Bartha Maria; Tassé, Anne Marie; Shen, Huei-yi; McCarthy, Mark I; Harris, Jennifer R

    2014-03-01

    Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined.

  20. When data sharing gets close to 100%: what human paleogenetics can teach the open science movement.

    PubMed

    Anagnostou, Paolo; Capocasa, Marco; Milia, Nicola; Sanna, Emanuele; Battaggia, Cinzia; Luzi, Daniela; Destro Bisol, Giovanni

    2015-01-01

    This study analyzes data sharing regarding mitochondrial, Y chromosomal and autosomal polymorphisms in a total of 162 papers on ancient human DNA published between 1988 and 2013. The estimated sharing rate was not far from totality (97.6% ± 2.1%) and substantially higher than observed in other fields of genetic research (evolutionary, medical and forensic genetics). Both a questionnaire-based survey and the examination of Journals' editorial policies suggest that this high sharing rate cannot be simply explained by the need to comply with stakeholders requests. Most data were made available through body text, but the use of primary databases increased in coincidence with the introduction of complete mitochondrial and next-generation sequencing methods. Our study highlights three important aspects. First, our results imply that researchers' awareness of the importance of openness and transparency for scientific progress may complement stakeholders' policies in achieving very high sharing rates. Second, widespread data sharing does not necessarily coincide with a prevalent use of practices which maximize data findability, accessibility, useability and preservation. A detailed look at the different ways in which data are released can be very useful to detect failures to adopt the best sharing modalities and understand how to correct them. Third and finally, the case of human paleogenetics tells us that a widespread awareness of the importance of Open Science may be important to build reliable scientific practices even in the presence of complex experimental challenges.

  1. When Data Sharing Gets Close to 100%: What Human Paleogenetics Can Teach the Open Science Movement

    PubMed Central

    Anagnostou, Paolo; Capocasa, Marco; Milia, Nicola; Sanna, Emanuele; Battaggia, Cinzia; Luzi, Daniela; Destro Bisol, Giovanni

    2015-01-01

    This study analyzes data sharing regarding mitochondrial, Y chromosomal and autosomal polymorphisms in a total of 162 papers on ancient human DNA published between 1988 and 2013. The estimated sharing rate was not far from totality (97.6% ± 2.1%) and substantially higher than observed in other fields of genetic research (evolutionary, medical and forensic genetics). Both a questionnaire-based survey and the examination of Journals’ editorial policies suggest that this high sharing rate cannot be simply explained by the need to comply with stakeholders requests. Most data were made available through body text, but the use of primary databases increased in coincidence with the introduction of complete mitochondrial and next-generation sequencing methods. Our study highlights three important aspects. First, our results imply that researchers’ awareness of the importance of openness and transparency for scientific progress may complement stakeholders’ policies in achieving very high sharing rates. Second, widespread data sharing does not necessarily coincide with a prevalent use of practices which maximize data findability, accessibility, useability and preservation. A detailed look at the different ways in which data are released can be very useful to detect failures to adopt the best sharing modalities and understand how to correct them. Third and finally, the case of human paleogenetics tells us that a widespread awareness of the importance of Open Science may be important to build reliable scientific practices even in the presence of complex experimental challenges. PMID:25799293

  2. Institutional and Individual Influences on Scientists' Data Sharing Behaviors

    ERIC Educational Resources Information Center

    Kim, Youngseek

    2013-01-01

    In modern research activities, scientific data sharing is essential, especially in terms of data-intensive science and scholarly communication. Scientific communities are making ongoing endeavors to promote scientific data sharing. Currently, however, data sharing is not always well-deployed throughout diverse science and engineering disciplines.…

  3. Produce More Oil Gas via eBusiness Data Sharing

    SciTech Connect

    Paul Jehn; Mike Stettner

    2004-09-30

    GWPC, DOGGR, and other state agencies propose to build eBusiness applications based on a .NET front-end user interface for the DOE's Energy 100 Award-winning Risk Based Data Management System (RBDMS) data source and XML Web services. This project will slash the costs of regulatory compliance by automating routine regulatory reporting and permit notice review and by making it easier to exchange data with the oil and gas industry--especially small, independent operators. Such operators, who often do not have sophisticated in-house databases, will be able to use a subset of the same RBDMS tools available to the agencies on the desktop to file permit notices and production reports online. Once the data passes automated quality control checks, the application will upload the data into the agency's RBDMS data source. The operators also will have access to state agency datasets to focus exploration efforts and to perform production forecasting, economic evaluations, and risk assessments. With the ability to identify economically feasible oil and gas prospects, including unconventional plays, over the Internet, operators will minimize travel and other costs. Because GWPC will coordinate these data sharing efforts with the Bureau of Land Management (BLM), this project will improve access to public lands and make strides towards reducing the duplicative reporting to which industry is now subject for leases that cross jurisdictions. The resulting regulatory streamlining and improved access to agency data will make more domestic oil and gas available to the American public while continuing to safeguard environmental assets.

  4. Scientific and technical data sharing: a trading perspective

    NASA Astrophysics Data System (ADS)

    Frey, Jeremy G.; Bird, Colin L.

    2014-10-01

    It is arguably a precept that the open sharing of data maximises the scientific utility of the research that generated that data. Indeed, progress depends on individual scientists being able to build on the results produced by others. The means to facilitate sharing undoubtedly exist, but various studies have identified reluctance among researchers to share information with their peers, at least until the professional priorities of the original researchers have been accommodated. With a view to encouraging less inhibited collaboration, we appraise the processes of data exchange from the perspective of a trading environment and consider how data exchanges might promote (or perhaps hinder) collaboration in data-rich scientific research disciplines and how such an exchange might be set up. We suggest an exchange with trusted brokers (akin to the commodity markets) as a way to overcome the challenges of the current environment. We conclude by encouraging the scientific and technical community to debate the merits of a trading perspective on data sharing and exchange.

  5. Genomic Research and Wide Data Sharing: Views of Prospective Participants

    PubMed Central

    Trinidad, Susan Brown; Fullerton, Stephanie M.; Bares, Julie M.; Jarvik, Gail P.; Larson, Eric B.; Burke, Wylie

    2011-01-01

    Purpose Sharing study data within the research community generates tension between two important goods: promoting scientific goals and protecting the privacy interests of study participants. The present study was designed to explore the perceptions, beliefs, and attitudes of research participants and possible future participants regarding genome-wide association studies (GWAS) and repository-based research. Methods Focus group sessions with (1) current research participants, (2) surrogate decision-makers, and (3) three age-defined cohorts (18–34 years, 35–50, >50). Results Participants expressed a variety of opinions about the acceptability of wide sharing of genetic and phenotypic information for research purposes through large, publicly accessible data repositories. Most believed that making de-identified study data available to the research community is a social good that should be pursued. Privacy and confidentiality concerns were common, though they would not necessarily preclude participation. Many participants voiced reservations about sharing data with for-profit organizations. Conclusions Trust is central in participants’ views regarding GWAS data sharing. Further research is needed to develop governance models that enact the values of stewardship. PMID:20535021

  6. Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis.

    PubMed

    Belciug, Smaranda; Gorunescu, Florin

    2014-12-01

    Automated medical diagnosis models are now ubiquitous, and research for developing new ones is constantly growing. They play an important role in medical decision-making, helping physicians to provide a fast and accurate diagnosis. Due to their adaptive learning and nonlinear mapping properties, the artificial neural networks are widely used to support the human decision capabilities, avoiding variability in practice and errors based on lack of experience. Among the most common learning approaches, one can mention either the classical back-propagation algorithm based on the partial derivatives of the error function with respect to the weights, or the Bayesian learning method based on posterior probability distribution of weights, given training data. This paper proposes a novel training technique gathering together the error-correction learning, the posterior probability distribution of weights given the error function, and the Goodman-Kruskal Gamma rank correlation to assembly them in a Bayesian learning strategy. This study had two main purposes; firstly, to develop anovel learning technique based on both the Bayesian paradigm and the error back-propagation, and secondly,to assess its effectiveness. The proposed model performance is compared with those obtained by traditional machine learning algorithms using real-life breast and lung cancer, diabetes, and heart attack medical databases. Overall, the statistical comparison results indicate that thenovellearning approach outperforms the conventional techniques in almost all respects.

  7. Mea culpa, mea culpa: a call for privilege for self-disclosure of error in the setting of primary medical education.

    PubMed

    Knoll, Andrew M

    2002-01-01

    Medical errors cause 44,000 to 98,000 deaths per year, which is due, in part, to the lack of privileged self-reporting systems. Such systems are of great value to the medical community, especially to new doctors and to medical students. Nonetheless, because documents produced for self-reporting conferences and statements made against self-interest are admissible in court, many observers believe that doctors are discouraged from self-reporting errors. The author proposes the creation of a new medical self-disclosure privilege to protect and promote self-reporting systems, which will lead to a reduction in medical errors.

  8. Medication dispensing errors in Palestinian community pharmacy practice: a formal consensus using the Delphi technique.

    PubMed

    Shawahna, Ramzi; Haddad, Aseel; Khawaja, Baraa; Raie, Rand; Zaneen, Sireen; Edais, Tasneem

    2016-10-01

    Background Medication dispensing errors (MDEs) are frequent in community pharmacy practice. A definition of MDEs and scenarios representing MDE situations in Palestinian community pharmacy practice were not previously approached using formal consensus techniques. Objective This study was conducted to achieve consensus on a definition of MDEs and a wide range of scenarios that should or should not be considered as MDEs in Palestinian community pharmacy practice by a panel of community pharmacists. Setting Community pharmacy practice in Palestine. Method This was a descriptive study using the Delphi technique. A panel of fifty community pharmacists was recruited from different geographical locations of the West Bank of Palestine. A three round Delphi technique was followed to achieve consensus on a proposed definition of MDEs and 83 different scenarios representing potential MDEs using a nine-point scale. Main outcome measure Agreement or disagreement of a panel of community pharmacists on a proposed definition of MDEs and a series of scenarios representing potential MDEs. Results In the first Delphi round, views of key contact community pharmacists on MDEs were explored and situations representing potential MDEs were collected. In the second Delphi round, consensus was achieved to accept the proposed definition and to include 49 (59 %) of the 83 proposed scenarios as MDEs. In the third Delphi round, consensus was achieved to include further 13 (15.7 %) scenarios as MDEs, exclude 9 (10.8 %) scenarios and the rest of 12 (14.5 %) scenarios were considered equivocal based on the opinions of the panelists. Conclusion Consensus on a definition of MDEs and scenarios representing MDE situations in Palestinian community pharmacy practice was achieved using a formal consensus technique. The use of consensual definitions and scenarios representing MDE situations in community pharmacy practice might minimize methodological variations and their significant effects on the

  9. ASTER Global DEM contribution to GEOSS demonstrates open data sharing

    NASA Astrophysics Data System (ADS)

    Sohre, T.; Duda, K. A.; Meyer, D. J.; Behnke, J.; Nasa Esdis Lp Daac

    2010-12-01

    across all the GEOSS Societal Benefit areas was shown. The release of the global tiled research-grade DEM resulted in a significant increase in demand for ASTER elevation models, and increased awareness of related products. No cost access to these data has also promoted new applications of remotely sensed data, increasing their use across the full range of the GEOSS societal benefit areas. In addition, the simplified data access and greatly expanded pool of users resulted in a number of suggestions from researchers in many disciplines for possible enhancements to future versions of the ASTER GDEM. The broad distribution of the product can be directly attributed to the adoption of fundamental GEOSS data sharing principles, which are directed toward expanded access by minimizing time delay and cost, thus facilitating data use for education, research, and a range of other applications. The ASTER GDEM demonstrated the need and user demand for an improved global DEM product as well as the added benefit of not only “full and open” distribution, but “free and open” distribution.

  10. [Longer working hours of pharmacists in the ward resulted in lower medication-related errors--survey of national university hospitals in Japan].

    PubMed

    Matsubara, Kazuo; Toyama, Akira; Satoh, Hiroshi; Suzuki, Hiroshi; Awaya, Toshio; Tasaki, Yoshikazu; Yasuoka, Toshiaki; Horiuchi, Ryuya

    2011-04-01

    It is obvious that pharmacists play a critical role as risk managers in the healthcare system, especially in medication treatment. Hitherto, there is not a single multicenter-survey report describing the effectiveness of clinical pharmacists in preventing medical errors from occurring in the wards in Japan. Thus, we conducted a 1-month survey to elucidate the relationship between the number of errors and working hours of pharmacists in the ward, and verified whether the assignment of clinical pharmacists to the ward would prevent medical errors between October 1-31, 2009. Questionnaire items for the pharmacists at 42 national university hospitals and a medical institute included the total and the respective numbers of medication-related errors, beds and working hours of pharmacist in 2 internal medicine and 2 surgical departments in each hospital. Regardless of severity, errors were consecutively reported to the Medical Security and Safety Management Section in each hospital. The analysis of errors revealed that longer working hours of pharmacists in the ward resulted in less medication-related errors; this was especially significant in the internal medicine ward (where a variety of drugs were used) compared with the surgical ward. However, the nurse assignment mode (nurse/inpatients ratio: 1 : 7-10) did not influence the error frequency. The results of this survey strongly indicate that assignment of clinical pharmacists to the ward is critically essential in promoting medication safety and efficacy.

  11. Family Perceptions of Medication Administration at School: Errors, Risk Factors, and Consequences

    ERIC Educational Resources Information Center

    Clay, Daniel; Farris, Karen; McCarthy, Ann Marie; Kelly, Michael W.; Howarth, Robyn

    2008-01-01

    Medications are administered every day in schools across the country. Researchers and clinicians have studied school nurses' and educators' experiences with medication administration, but not the experiences of children or their parents. This study examined medication administration from the child and parent perspectives to (a) determine problems…

  12. Cooperative Data Sharing: Simple Support for Clusters of SMP Nodes

    NASA Technical Reports Server (NTRS)

    DiNucci, David C.; Balley, David H. (Technical Monitor)

    1997-01-01

    Libraries like PVM and MPI send typed messages to allow for heterogeneous cluster computing. Lower-level libraries, such as GAM, provide more efficient access to communication by removing the need to copy messages between the interface and user space in some cases. still lower-level interfaces, such as UNET, get right down to the hardware level to provide maximum performance. However, these are all still interfaces for passing messages from one process to another, and have limited utility in a shared-memory environment, due primarily to the fact that message passing is just another term for copying. This drawback is made more pertinent by today's hybrid architectures (e.g. clusters of SMPs), where it is difficult to know beforehand whether two communicating processes will share memory. As a result, even portable language tools (like HPF compilers) must either map all interprocess communication, into message passing with the accompanying performance degradation in shared memory environments, or they must check each communication at run-time and implement the shared-memory case separately for efficiency. Cooperative Data Sharing (CDS) is a single user-level API which abstracts all communication between processes into the sharing and access coordination of memory regions, in a model which might be described as "distributed shared messages" or "large-grain distributed shared memory". As a result, the user programs to a simple latency-tolerant abstract communication specification which can be mapped efficiently to either a shared-memory or message-passing based run-time system, depending upon the available architecture. Unlike some distributed shared memory interfaces, the user still has complete control over the assignment of data to processors, the forwarding of data to its next likely destination, and the queuing of data until it is needed, so even the relatively high latency present in clusters can be accomodated. CDS does not require special use of an MMU, which

  13. Assessing the Privacy Risks of Data Sharing in Genomics

    PubMed Central

    Heeney, C.; Hawkins, N.; de Vries, J.; Boddington, P.; Kaye, J.

    2010-01-01

    The protection of identity of participants in medical research has traditionally been guaranteed by the maintenance of the confidentiality of health information through mechanisms such as only releasing data in an aggregated form or after identifying variables have been removed. This protection of privacy is regarded as a fundamental principle of research ethics, through which the support of research participants and the public is maintained. Whilst this traditional model was adopted for genetics and genomics research, and was generally considered broadly fit for purpose, we argue that this approach is increasingly untenable in genomics. Privacy risk assessments need to have regard to the whole data environment, not merely the quality of the dataset to be released in isolation. As sources of data proliferate, issues of privacy protection are increasingly problematic in relation to the release of genomic data. However, we conclude that, by paying careful attention to potential pitfalls, scientific funders and researchers can take an important part in attempts to safeguard the public and ensure the continuation of potentially important scientific research. PMID:20339285

  14. Changes in data sharing and data reuse practices and perceptions among scientists worldwide

    USGS Publications Warehouse

    Tenopir, Carol; Dalton, Elizabeth D.; Allard, Suzie; Frame, Mike; Pjesivac, Ivanka; Birch, Ben; Pollock, Danielle; Dorsett, Kristina

    2015-01-01

    The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

  15. Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

    PubMed Central

    Tenopir, Carol; Dalton, Elizabeth D.; Allard, Suzie; Frame, Mike; Pjesivac, Ivanka; Birch, Ben; Pollock, Danielle; Dorsett, Kristina

    2015-01-01

    The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges. PMID:26308551

  16. Beam dynamics and error study of the medium energy beam transport line in the Korea Heavy-Ion Medical Accelerator

    NASA Astrophysics Data System (ADS)

    Kim, Chanmi; Kim, Eun-San; Hahn, Garam

    2016-11-01

    The Korea Heavy Ion Medical Accelerator consists of an injector and a synchrotron for an ion medical accelerator that is the first carbon-ion therapy system in Korea. The medium energy beam transport(MEBT) line connects the interdigital H-mode drift tube linac and the synchrotron. We investigated the beam conditions after the charge stripper by using the LISE++ and the SRIM codes. The beam was stripped from C4+ into C6+ by using the charge stripper. We investigated the performance of a de-buncher in optimizing the energy spread and the beam distribution in z-dW/W (direction of beam progress-beam and energy) phase. We obtained the results of the tracking simulation and the error analysis by using the TRACK code. Possible misalignments and rotations of the magnets were considered in the simulations. States of the beam were examined when errors occurred in the magnets by the applying analytic fringe field model in TRACK code. The condition for the beam orbit was optimized by using correctors and profile monitors to correct the orbit. In this paper, we focus on the beam dynamics and the error studies dedicated to the MEBT beam line and show the optimized beam parameters for the MEBT.

  17. Preanalytical errors in medical laboratories: a review of the available methodologies of data collection and analysis.

    PubMed

    West, Jamie; Atherton, Jennifer; Costelloe, Seán J; Pourmahram, Ghazaleh; Stretton, Adam; Cornes, Michael

    2017-01-01

    Preanalytical errors have previously been shown to contribute a significant proportion of errors in laboratory processes and contribute to a number of patient safety risks. Accreditation against ISO 15189:2012 requires that laboratory Quality Management Systems consider the impact of preanalytical processes in areas such as the identification and control of non-conformances, continual improvement, internal audit and quality indicators. Previous studies have shown that there is a wide variation in the definition, repertoire and collection methods for preanalytical quality indicators. The International Federation of Clinical Chemistry Working Group on Laboratory Errors and Patient Safety has defined a number of quality indicators for the preanalytical stage, and the adoption of harmonized definitions will support interlaboratory comparisons and continual improvement. There are a variety of data collection methods, including audit, manual recording processes, incident reporting mechanisms and laboratory information systems. Quality management processes such as benchmarking, statistical process control, Pareto analysis and failure mode and effect analysis can be used to review data and should be incorporated into clinical governance mechanisms. In this paper, The Association for Clinical Biochemistry and Laboratory Medicine PreAnalytical Specialist Interest Group review the various data collection methods available. Our recommendation is the use of the laboratory information management systems as a recording mechanism for preanalytical errors as this provides the easiest and most standardized mechanism of data capture.

  18. The Impact of a Patient Safety Program on Medical Error Reporting

    DTIC Science & Technology

    2005-05-01

    8. Jay G, Risser DT. Formal teamwork training improved teamwork and reduced emergency department errors. Acad Emerg Med 1999;6:408. 9. Ioannidis...communications. Sheffield, England: Centre for Health Information Management Research; 1998. 19. Risser DT, Rice MM, Salisbury ML, et al. The potential for

  19. Developing a Taxonomy for Coding Ambulatory Medical Errors: A Report From the ASIPS Collaborative

    DTIC Science & Technology

    2005-01-01

    including therapeutic intent of an activity, language barriers , and errors of judgment. Harm was also associated with 10 constructs within the taxonomy...shown in Table 2. These codes include communication problems based on language barriers , clinician judgment, and lack of office safety systems

  20. Pediatric medication error reports in Korea adverse event reporting system database, 1989-2012: comparing with adult reports.

    PubMed

    Woo, Yeonju; Kim, Hyung Eun; Chung, Sooyoun; Park, Byung Joo

    2015-04-01

    Children have dynamic process of maturation and substantial changes in growth and development which eventually make the drug safety profiles different from adults. Medication errors (MEs) in pediatrics are reported to occur three times more likely than adults. The aims of this study were to identify the characteristics of pediatric MEs in Korea at national level and help raise awareness of risks from the MEs in pediatrics. We conducted a descriptive analysis with the pediatric ME reports in Korea Adverse Event Reporting System (KAERS) database from 1989 to 2012 and 208 ME reports in pediatrics were found. Based on KAERS database, the proportion of reported pediatric ME in adverse drug event (ADE) reports was 2.73 times (95% CI, 2.35-3.17) higher than that of adult ME. In 208 ME reports, we found a total of 236 ME-related terms within 19 types of MEs. The most common type of MEs was "accidental overdose" (n=58, 24.6%), followed by "drug maladministration" (n=50, 21.2%) and "medication error" (n=41, 17.4%). After the narratives of ME reports were reviewed, we noticed that most of them did no harm to patients, but some cases were needed for medical treatment. Our data suggest that MEs in pediatrics are not negligible in Korea. We expect that this study would increase the awareness of the problem in pediatric MEs and induce the need for further development of an effective national ME preventing system in Korea.

  1. Confidentiality and data sharing: vulnerabilities of the Mexican Genomics Sovereignty Act.

    PubMed

    Rojas-Martínez, Augusto

    2015-07-01

    A law known as "Genomic Sovereignty Act", instituted in 2011, regulates research on the human genome in Mexico. This law establishes Government regulations for the exportation of DNA samples from Mexican nationals for population genetics studies. The Genomic Sovereignty Act protects fundamental human values, as confidentiality and non-discrimination based on personal genetic information. It also supports the development of the genome-based medical biotechnology and the bio-economy. Current laws for the protection of the genomic confidentiality, however, are inexplicit and insufficient, and the legal and technological instruments are primitive and insufficient to safeguard this bioethical principle. In addition, this law may undermine efforts of the national and international scientific communities to cooperate with big-data analysis for the development of the genome-based biomedical sciences. The argument of this article is that deficiencies in the protection of the confidentiality of genomic information and limitations in data sharing severely weaken the objectives and scope of the Genomic Sovereignty Act. In addition, the Act may compromise the national biomedical development and the international cooperation for research and development in the field of human genomics.

  2. It depends whose data are being shared: considerations for genomic data sharing policies

    PubMed Central

    Robinson, Jill O.; Slashinski, Melody J.; Chiao, Elizabeth; McGuire, Amy L.

    2015-01-01

    There is an urgent need for consistent data sharing policies that promote the advancement of science while respecting the values and interests of those providing their genetic data for research. Responding to the article of Jalayne J. Arias, Genevieve Pham-Kanter, and Eric G. Campbell, ‘The Growth and Gaps of Genetic Data Sharing Policies in the United States’, this commentary further explores the challenges of human subjects’ protection in existing data sharing policies. We will elaborate on the need for data sharing policies to accommodate variation in individual and group preferences around data sharing and privacy concerns by comparing our previously published data on patients’ and parents’ consent to data sharing and attitudes about privacy to data from focus groups with HIV-positive, underserved individuals who were asked about their willingness to participate in genetic research and share their data broadly. These studies support the observation of Arias, Pham-Kanter, and Campbell that researchers, and funding agencies will need to balance the privacy interests of groups as well as individuals in future genomic data sharing policies. PMID:27774218

  3. Effect of critical care pharmacist's intervention on medication errors: A systematic review and meta-analysis of observational studies.

    PubMed

    Wang, Tiansheng; Benedict, Neal; Olsen, Keith M; Luan, Rong; Zhu, Xi; Zhou, Ningning; Tang, Huilin; Yan, Yingying; Peng, Yao; Shi, Luwen

    2015-10-01

    Pharmacists are integral members of the multidisciplinary team for critically ill patients. Multiple nonrandomized controlled studies have evaluated the outcomes of pharmacist interventions in the intensive care unit (ICU). This systematic review focuses on controlled clinical trials evaluating the effect of pharmacist intervention on medication errors (MEs) in ICU settings. Two independent reviewers searched Medline, Embase, and Cochrane databases. The inclusion criteria were nonrandomized controlled studies that evaluated the effect of pharmacist services vs no intervention on ME rates in ICU settings. Four studies were included in the meta-analysis. Results suggest that pharmacist intervention has no significant contribution to reducing general MEs, although pharmacist intervention may significantly reduce preventable adverse drug events and prescribing errors. This meta-analysis highlights the need for high-quality studies to examine the effect of the critical care pharmacist.

  4. How a Drug Shortage Contributed to a Medication Error Leading to Baclofen Toxicity in an Infant

    PubMed Central

    Khazanie, Uma; Rowe, Emily; Fauman, Karen

    2016-01-01

    We report the case of a 4-month-old girl who developed encephalopathy, seizures, and respiratory compromise as a result of baclofen toxicity. After some investigation, the accidental ingestion of baclofen was caused by an error in compounding the patient's prescribed omeprazole with baclofen rather than sodium bicarbonate at a retail pharmacy. This error occurred because these two drugs, which were available as powders, were located side by side on the pharmacy shelf. The pharmacist further reported that their normal practice was to use injectable sodium bicarbonate rather than powder to compound an omeprazole suspension; however, the injectable form was not available due to a national shortage. This report demonstrates how a drug shortage contributed to severe clinical consequences and intensive care hospitalization of a patient. It also highlights the need for system improvement to minimize drug shortages. PMID:28018156

  5. How a Drug Shortage Contributed to a Medication Error Leading to Baclofen Toxicity in an Infant.

    PubMed

    Lau, Bonnie; Khazanie, Uma; Rowe, Emily; Fauman, Karen

    2016-01-01

    We report the case of a 4-month-old girl who developed encephalopathy, seizures, and respiratory compromise as a result of baclofen toxicity. After some investigation, the accidental ingestion of baclofen was caused by an error in compounding the patient's prescribed omeprazole with baclofen rather than sodium bicarbonate at a retail pharmacy. This error occurred because these two drugs, which were available as powders, were located side by side on the pharmacy shelf. The pharmacist further reported that their normal practice was to use injectable sodium bicarbonate rather than powder to compound an omeprazole suspension; however, the injectable form was not available due to a national shortage. This report demonstrates how a drug shortage contributed to severe clinical consequences and intensive care hospitalization of a patient. It also highlights the need for system improvement to minimize drug shortages.

  6. Mixed Methods Analysis of Medical Error Event Reports: A Report from the ASIPS Collaborative

    DTIC Science & Technology

    2005-05-01

    mixed methods approach to analyzing narrative error event reports. Mixed methods studies integrate one or more qualitative and quantitative techniques for...authors present a protocol for applying a mixed methods approach to the study of patient safety reporting data to inform the development of interventions...Using mixed methods to study patient safety is an effective and efficient approach to data analysis that provides both information and motivation for developing and implementing patient safety

  7. [Carbon monoxide poisoning caused by medical error. Fatalities in connection with medical measures in Leipzig and Hannover].

    PubMed

    Hunger, H; Tröger, H D; Urban, R

    1990-01-01

    There are significant differences in the frequency of CO intoxication and its relation to other not natural causes of death between the autopsy cases of Leipzig (DDR) and Hannover (BRD). While the percentage of all autopsies in Leipzig runs up to 7.6%, in Hannover it runs up to only 1.5%. Beside the well-known cases of not recognized CO intoxication at the autopsy with or without following intoxication of other persons, two concrete cases of not recognized CO intoxication with the survival of the victims discussed. The not noticed CO intoxication followed by the death of the victim is usually considered in medicolegal opinious as "medical malpractice". In cases of survived not noticed CO intoxications this opinion ist only supposed in special cases with longer anamnesis and a typical seasonal rythmic of symptoms.

  8. Identifying and reducing medication errors in psychiatry: creating a culture of safety through the use of an adverse event reporting mechanism.

    PubMed

    Jayaram, Geetha; Doyle, Daniel; Steinwachs, Donald; Samuels, Jack

    2011-03-01

    Medication errors (MEs) in psychiatry have not been extensively studied. No long-term prospective efforts to demonstrate error reduction in psychiatric care using multidisciplinary interventions have been published in the literature. This article discusses the implementation of the Patient Safety Net (PSN) (an error reporting system) and of the Provider Order Entry (POE) program (a prescribing system). We educated and trained staff in their use, conducted concurrent chart reviews to estimate true error reduction, and provided continuous feedback as errors occurred. The intervention described here resulted in a reduction in MEs in association with performance improvement efforts that were conducted over 5 years and involved 65,466 patient days, and 617,524 billed doses, which is the largest study of an intervention to reduce psychiatric medication errors reported to date.

  9. Developing Ethical Practices for Public Health Research Data Sharing in South Africa

    PubMed Central

    Denny, Spencer G.; Silaigwana, Blessing; Bull, Susan; Parker, Michael

    2015-01-01

    The abundance of South African clinical and public health research data has the potential to unlock important and valuable future advances in biomedical science. Amid increasing calls for more effective sharing of individual-level data, commitment to promote access to research data is evident within South Africa’s public research sector, but national guidance and regulation are absent. This qualitative study examined the perceptions, experiences and concerns of 32 research stakeholders about data-sharing practices. There was consensus about the utility of data sharing in publicly funded health research. However, disparate views emerged about the possible harms and benefits of sharing data and how these should be weighed. The relative dearth of policies governing data-sharing practices needs to be addressed and a framework of support developed that incentivizes data-sharing practices for researchers that are both ethical and effective. PMID:26297750

  10. Benzodiazepine Use During Hospitalization: Automated Identification of Potential Medication Errors and Systematic Assessment of Preventable Adverse Events

    PubMed Central

    Niedrig, David Franklin; Hoppe, Liesa; Mächler, Sarah; Russmann, Heike; Russmann, Stefan

    2016-01-01

    Objective Benzodiazepines and “Z-drug” GABA-receptor modulators (BDZ) are among the most frequently used drugs in hospitals. Adverse drug events (ADE) associated with BDZ can be the result of preventable medication errors (ME) related to dosing, drug interactions and comorbidities. The present study evaluated inpatient use of BDZ and related ME and ADE. Methods We conducted an observational study within a pharmacoepidemiological database derived from the clinical information system of a tertiary care hospital. We developed algorithms that identified dosing errors and interacting comedication for all administered BDZ. Associated ADE and risk factors were validated in medical records. Results Among 53,081 patients contributing 495,813 patient-days BDZ were administered to 25,626 patients (48.3%) on 115,150 patient-days (23.2%). We identified 3,372 patient-days (2.9%) with comedication that inhibits BDZ metabolism, and 1,197 (1.0%) with lorazepam administration in severe renal impairment. After validation we classified 134, 56, 12, and 3 cases involving lorazepam, zolpidem, midazolam and triazolam, respectively, as clinically relevant ME. Among those there were 23 cases with associated adverse drug events, including severe CNS-depression, falls with subsequent injuries and severe dyspnea. Causality for BDZ was formally assessed as ‘possible’ or ‘probable’ in 20 of those cases. Four cases with ME and associated severe ADE required administration of the BDZ antagonist flumazenil. Conclusions BDZ use was remarkably high in the studied setting, frequently involved potential ME related to dosing, co-medication and comorbidities, and rarely cases with associated ADE. We propose the implementation of automated ME screening and validation for the prevention of BDZ-related ADE. PMID:27711224

  11. The Effect of an Intervention Aimed at Reducing Errors when Administering Medication through Enteral Feeding Tubes in an Institution for Individuals with Intellectual Disability

    ERIC Educational Resources Information Center

    Idzinga, J. C.; de Jong, A. L.; van den Bemt, P. M. L. A.

    2009-01-01

    Background: Previous studies, both in hospitals and in institutions for clients with an intellectual disability (ID), have shown that medication errors at the administration stage are frequent, especially when medication has to be administered through an enteral feeding tube. In hospitals a specially designed intervention programme has proven to…

  12. A Review of the Literature on Computational Errors With Whole Numbers. Mathematics Education Diagnostic and Instructional Centre (MEDIC).

    ERIC Educational Resources Information Center

    Burrows, J. K.

    Research on error patterns associated with whole number computation is reviewed. Details of the results of some of the individual studies cited are given in the appendices. In Appendix A, 33 addition errors, 27 subtraction errors, 41 multiplication errors, and 41 division errors are identified, and the frequency of these errors made by 352…

  13. The growth and gaps of genetic data sharing policies in the United States

    PubMed Central

    Arias, Jalayne J.; Pham-Kanter, Genevieve; Campbell, Eric G.

    2014-01-01

    The 1996 Bermuda Principles launched a new era in data sharing, reflecting a growing belief that the rapid public dissemination of research data was crucial to scientific progress in genetics. A historical review of data sharing policies in the field of genetics and genomics reflects changing scientific norms and evolving views of genomic data, particularly related to human subjects’ protections and privacy concerns. The 2013 NIH Draft Genomic Data Sharing (GDS) Policy incorporates the most significant protections and guidelines to date. The GDS Policy, however, will face difficult challenges ahead as geneticists seek to balance the very real concerns of research participants and the scientific norms that propel research forward. This article provides a novel evaluation of genetic and GDS policies’ treatment of human subjects’ protections. The article examines not only the policies, but also some of the most pertinent scientific, legal, and regulatory developments that occurred alongside data sharing policies. This historical perspective highlights the challenges that future data sharing policies, including the recently disseminated NIH GDS Draft Policy, will encounter. PMID:27774180

  14. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research: A SYSTEMATIC REVIEW

    PubMed Central

    Jiang, Xiaoqian; Sarwate, Anand D.; Ohno-Machado, Lucila

    2013-01-01

    Objective Effective data sharing is critical for comparative effectiveness research (CER), but there are significant concerns about inappropriate disclosure of patient data. These concerns have spurred the development of new technologies for privacy preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER. Material and methods We adapted a systematic review methodology to comprehensively search the research literature. We searched 7 databases and applied three stages of filtering based on titles, abstracts, and full text to identify those works most relevant to CER. Results Based on agreement and using the arbitrage of a third party expert, we selected 97 articles for meta-analysis. Our findings are organized along major types of data sharing in CER applications (i.e., institution-to-institution, institution-hosted, and public release). We made recommendations based on specific scenarios. Limitation We limited the scope of our study to methods that demonstrated practical impact, eliminating many theoretical studies of privacy that have been surveyed elsewhere. We further limited our study to data sharing for data tables, rather than complex genomic, set-valued, time series, text, image, or network data. Conclusion State-of-the-art privacy preserving technologies can guide the development of practical tools that will scale up the CER studies of the future. However, many challenges remain in this fast moving field in terms of practical evaluations as well as applications to a wider range of data types. PMID:23774511

  15. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis

    PubMed Central

    2014-01-01

    Background The Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors. Methods Articles were identified using MEDLINE, Cochrane Library, Econlit, web-based databases, and bibliographies of previous systematic reviews (September 2013). Eligible studies compared CPOE with paper-order entry in acute care hospitals, and examined diverse pADEs or medication errors. Studies on children or with limited event-detection methods were excluded. Two investigators extracted data on events and factors potentially associated with effectiveness. We used random effects models to pool data. Results Sixteen studies addressing medication errors met pooling criteria; six also addressed pADEs. Thirteen studies used pre-post designs. Compared with paper-order entry, CPOE was associated with half as many pADEs (pooled risk ratio (RR) = 0.47, 95% CI 0.31 to 0.71) and medication errors (RR = 0.46, 95% CI 0.35 to 0.60). Regarding reasons for heterogeneous effects on medication errors, five intervention factors and two contextual factors were sufficiently reported to support subgroup analyses or meta-regression. Differences between commercial versus homegrown systems, presence and sophistication of clinical decision support, hospital-wide versus limited implementation, and US versus non-US studies were not significant, nor was timing of publication. Higher baseline rates of medication errors predicted greater reductions (P < 0.001). Other context and

  16. Data Rights and Responsibilities: A Human Rights Perspective on Data Sharing.

    PubMed

    Harris, Theresa L; Wyndham, Jessica M

    2015-07-01

    A human-rights-based analysis can be a useful tool for the scientific community and policy makers as they develop codes of conduct, harmonized standards, and national policies for data sharing. The human rights framework provides a shared set of values and norms across borders, defines rights and responsibilities of various actors involved in data sharing, addresses the potential harms as well as the benefits of data sharing, and offers a framework for balancing competing values. The right to enjoy the benefits of scientific progress and its applications offers a particularly helpful lens through which to view data as both a tool of scientific inquiry to which access is vital and as a product of science from which everyone should benefit.

  17. Big Heart Data: Advancing Health Informatics through Data Sharing in Cardiovascular Imaging

    PubMed Central

    Suinesiaputra, Avan; Medrano-Gracia, Pau; Cowan, Brett R.; Young, Alistair A.

    2015-01-01

    The burden of heart disease is rapidly worsening due to increasing prevalence of obesity and diabetes. Data sharing and open database resources for heart health informatics are important for advancing our understanding of cardiovascular function, disease progression and therapeutics. Data sharing enables valuable information, often obtained at considerable expense and effort, to be re-used beyond the specific objectives of the original study. Many government funding agencies and journal publishers are requiring data re-use, and are providing mechanisms for data curation and archival. Tools and infrastructure are available to archive anonymous data from a wide range of studies, from descriptive epidemiological data to gigabytes of imaging data. Meta-analyses can be performed to combine raw data from disparate studies to obtain unique comparisons or to enhance statistical power. Open benchmark datasets are invaluable for validating data analysis algorithms and objectively comparing results. This review provides a rationale for increased data sharing and surveys recent progress in the cardiovascular domain. We also highlight the potential of recent large cardiovascular epidemiological studies enabling collaborative efforts to facilitate data sharing, algorithms benchmarking, disease modeling and statistical atlases. PMID:25415993

  18. A human rights approach to an international code of conduct for genomic and clinical data sharing.

    PubMed

    Knoppers, Bartha M; Harris, Jennifer R; Budin-Ljøsne, Isabelle; Dove, Edward S

    2014-07-01

    Fostering data sharing is a scientific and ethical imperative. Health gains can be achieved more comprehensively and quickly by combining large, information-rich datasets from across conventionally siloed disciplines and geographic areas. While collaboration for data sharing is increasingly embraced by policymakers and the international biomedical community, we lack a common ethical and legal framework to connect regulators, funders, consortia, and research projects so as to facilitate genomic and clinical data linkage, global science collaboration, and responsible research conduct. Governance tools can be used to responsibly steer the sharing of data for proper stewardship of research discovery, genomics research resources, and their clinical applications. In this article, we propose that an international code of conduct be designed to enable global genomic and clinical data sharing for biomedical research. To give this proposed code universal application and accountability, however, we propose to position it within a human rights framework. This proposition is not without precedent: international treaties have long recognized that everyone has a right to the benefits of scientific progress and its applications, and a right to the protection of the moral and material interests resulting from scientific productions. It is time to apply these twin rights to internationally collaborative genomic and clinical data sharing.

  19. Data sharing: A critical foundation to advance global integrated Earth system science

    NASA Astrophysics Data System (ADS)

    Halpern, David; Doldirina, Catherine; Withee, Gregory

    A critical foundation for a successful Global Earth Observation System of Systems (GEOSS) is the exchange of observations recorded from in-situ, aircraft, and satellite networks in a full and open manner with minimum time delay and minimum cost, recognizing relevant international instruments and national policies and legislation. This is, in its simplest form, the GEOSS Data Sharing Principles, which initially were adopted at the First Earth Observation Summit on 31 July 2003 in Washington, United States. It was restated in the 2006-2015 GEOSS Implementation Plan, which is adopted by Group on Earth Observation (GEO) Members and Participating Organizations. Currently, there are 90 Members and 77 Participating Organizations. This paper will describe the evolution of data sharing within the GEO since announcing a principle, creating an action plan, establishing mechanisms, and witnessing progress. Topics include highlights from the 2009 Implementation Guidelines, 2010 GEOSS Data Sharing Action Plan, and GEO infrastructure activities such as the GEO Data Sharing Working Group, GEOSS Data-CORE, GEOSS Data Quality Guidelines, and others. The paper will conclude with audience suggestions on how to improve sharing of Earth observations to enhance understanding of the global integrated Earth system.

  20. Data Sharing Agreement Checklist for IDEA Part C and Part B 619 Agencies and Programs

    ERIC Educational Resources Information Center

    Center for IDEA Early Childhood Data Systems (DaSy), 2014

    2014-01-01

    This 2014 document is an adaptation of the 2012 release of "Data Sharing Agreement Checklist" intended for K-12 audiences. Presented as a checklist, the document summarizes the requirements for the written agreements under the audit or evaluation exception that is specified in FERPA and that also applies to the IDEA for Part C early…

  1. Big heart data: advancing health informatics through data sharing in cardiovascular imaging.

    PubMed

    Suinesiaputra, Avan; Medrano-Gracia, Pau; Cowan, Brett R; Young, Alistair A

    2015-07-01

    The burden of heart disease is rapidly worsening due to the increasing prevalence of obesity and diabetes. Data sharing and open database resources for heart health informatics are important for advancing our understanding of cardiovascular function, disease progression and therapeutics. Data sharing enables valuable information, often obtained at considerable expense and effort, to be reused beyond the specific objectives of the original study. Many government funding agencies and journal publishers are requiring data reuse, and are providing mechanisms for data curation and archival. Tools and infrastructure are available to archive anonymous data from a wide range of studies, from descriptive epidemiological data to gigabytes of imaging data. Meta-analyses can be performed to combine raw data from disparate studies to obtain unique comparisons or to enhance statistical power. Open benchmark datasets are invaluable for validating data analysis algorithms and objectively comparing results. This review provides a rationale for increased data sharing and surveys recent progress in the cardiovascular domain. We also highlight the potential of recent large cardiovascular epidemiological studies enabling collaborative efforts to facilitate data sharing, algorithms benchmarking, disease modeling and statistical atlases.

  2. Data Standards for Omics Data: the Basis of Data Sharing and Reuse.

    SciTech Connect

    Chervitz, Stephen A.; Deutsch, Eric W.; Field, Dawn; Parkinson, Helen E.; Quackenbush, John; Rocca-Serra, Philippe; Sansone, Susanna A.; Stoeckert, Christian Jr. J.; Taylor, Chris F.; Taylor, Ronald C.; Ball, Catherine A.

    2011-11-01

    To facilitate sharing of Omics data, many groups of scientists have been working to establish the relevant data standards. The main components of data sharing standards are experiment description standards, data exchange standards, terminology standards, and experiment execution standards. Here we provide a survey of existing and emerging standards that are intended to assist the free and open exchange of large-format data.

  3. Patient-Controlled Analgesia Basal Infusion Overdose; Life-threatening Errors with Flecainide Suspension in Children; Medical Product Error-Prevention Efforts Need to Be Shared and Harmonized Internationally

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2015-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers’ names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters’ wishes as to the level of detail included in publications. PMID:26715797

  4. Just What the Doctor Ordered. Review of the Evidence of the Impact of Computerized Physician Order Entry System on Medication Errors

    PubMed Central

    Shamliyan, Tatyana A; Duval, Sue; Du, Jing; Kane, Robert L

    2008-01-01

    Objective To examine the association between computerization of physician orders and prescribing medication errors. Data Sources Studies published in English language were identified through MEDLINE (1990 through December 2005), Cochrane Central Register of Controlled Trials, and bibliographies of retrieved articles. Of 252 identified in the search, 12 (4.8 percent) original investigations that compared rates of prescribing medication errors with handwritten and computerized physician orders were included. Data Collection Information on study design, participant characteristics, clinical settings, and outcomes rates were abstracted independently by two investigators using a standardized protocol. Principal Findings Compared with handwritten orders, 80 percent of studies (8/10 studies) reported a significant reduction in total prescribing errors, 43 percent in dosing errors (3/7 studies), and 37.5 percent in adverse drug events (3/8 studies). The use of computerized orders was associated with a 66 percent reduction in total prescribing errors in adults (odds ratio [OR]=0.34; 95 percent confidence interval [CI] 0.22–0.52) and a positive tendency in children (p for interaction=.028). The benefit of computerized orders was larger when the rate of errors was more than 12 percent with handwritten orders (p for interaction=.022). Significant heterogeneity in the results compromised pooled relative risks. One randomized controlled intervention demonstrated the greatest benefits of computerized orders on total prescribing errors (OR=0.02, 95 percent CI 0.01–0.02) and dosing errors (OR=0.28; 95 percent CI 0.15–0.52) with 775 avoided prescribing errors (95 percent CI 752–811) per 1,000 orders in a pediatric hospital. Conclusions Computerization of physicians' orders shows great promise. It will be more effective when linked to other computerized systems to detect and prevent prescribing errors. PMID:18211517

  5. Dopaminergic Medication Modulates Learning from Feedback and Error-Related Negativity in Parkinson’s Disease: A Pilot Study

    PubMed Central

    Volpato, Chiara; Schiff, Sami; Facchini, Silvia; Silvoni, Stefano; Cavinato, Marianna; Piccione, Francesco; Antonini, Angelo; Birbaumer, Niels

    2016-01-01

    Dopamine systems mediate key aspects of reward learning. Parkinson’s disease (PD) represents a valuable model to study reward mechanisms because both the disease process and the anti-Parkinson medications influence dopamine neurotransmission. The aim of this pilot study was to investigate whether the level of levodopa differently modulates learning from positive and negative feedback and its electrophysiological correlate, the error related negativity (ERN), in PD. Ten PD patients and ten healthy participants performed a two-stage reinforcement learning task. In the Learning Phase, they had to learn the correct stimulus within a stimulus pair on the basis of a probabilistic positive or negative feedback. Three sets of stimulus pairs were used. In the Testing Phase, the participants were tested with novel combinations of the stimuli previously experienced to evaluate whether they learned more from positive or negative feedback. PD patients performed the task both ON- and OFF-levodopa in two separate sessions while they remained on stable therapy with dopamine agonists. The electroencephalogram (EEG) was recorded during the task. PD patients were less accurate in negative than positive learning both OFF- and ON-levodopa. In the OFF-levodopa state they were less accurate than controls in negative learning. PD patients had a smaller ERN amplitude OFF- than ON-levodopa only in negative learning. In the OFF-levodopa state they had a smaller ERN amplitude than controls in negative learning. We hypothesize that high tonic dopaminergic stimulation due to the dopamine agonist medication, combined to the low level of phasic dopamine due to the OFF-levodopa state, could prevent phasic “dopamine dips” indicated by the ERN needed for learning from negative feedback. PMID:27822182

  6. Physician Order Entry Or Nurse Order Entry? Comparison of Two Implementation Strategies for a Computerized Order Entry System Aimed at Reducing Dosing Medication Errors

    PubMed Central

    Fors, Uno GH; Tofighi, Shahram; Tessma, Mesfin; Ellenius, Johan

    2010-01-01

    Background Despite the significant effect of computerized physician order entry (CPOE) in reducing nonintercepted medication errors among neonatal inpatients, only a minority of hospitals have successfully implemented such systems. Physicians' resistance and users' frustration seem to be two of the most important barriers. One solution might be to involve nurses in the order entry process to reduce physicians’ data entry workload and resistance. However, the effect of this collaborative order entry method in reducing medication errors should be compared with a strictly physician order entry method. Objective To investigate whether a collaborative order entry method consisting of nurse order entry (NOE) followed by physician verification and countersignature is as effective as a strictly physician order entry (POE) method in reducing nonintercepted dose and frequency medication errors in the neonatal ward of an Iranian teaching hospital. Methods A four-month prospective study was designed with two equal periods. During the first period POE was used and during the second period NOE was used. In both methods, a warning appeared when the dose or frequency of the prescribed medication was incorrect that suggested the appropriate dosage to the physicians. Physicians’ responses to the warnings were recorded in a database and subsequently analyzed. Relevant paper-based and electronic medical records were reviewed to increase credibility. Results Medication prescribing for 158 neonates was studied. The rate of nonintercepted medication errors during the NOE period was 40% lower than during the POE period (rate ratio 0.60; 95% confidence interval [CI] .50, .71;P < .001). During the POE period, 80% of nonintercepted errors occurred at the prescription stage, while during the NOE period, 60% of nonintercepted errors occurred in that stage. Prescription errors decreased from 10.3% during the POE period to 4.6% during the NOE period (P < .001), and the number of warnings

  7. Medical Errors Reduction Initiative

    DTIC Science & Technology

    2009-03-01

    Crayon , et al. , 2004; Patterson, Cook and Render 2002). The approximation used to determine the number of subjects above was based on previous efforts...units that used electronic bar-coding. Consistent with the findings of Crayon , et.al. (2004), when accruing subjects for observation methodology

  8. Multilateral Biomedical Data Sharing in the One-year Joint US-Russian Mission on the International Space Station

    NASA Technical Reports Server (NTRS)

    Charles, John B.; Haven, C.; Johnson-Throop, K.; Van Baalen, M.; McFather, J.

    2014-01-01

    presentation will describe the overarching principles for multilateral data collection, analysis and sharing and for data security for medical and research data shared between ISS partners prior to release in public forums.

  9. LC Data QUEST: A Technical Architecture for Community Federated Clinical Data Sharing

    PubMed Central

    Stephens, Kari A.; Lin, Ching-Ping; Baldwin, Laura-Mae; Echo-Hawk, Abigail; Keppel, Gina A.; Buchwald, Dedra; Whitener, Ron J.; Korngiebel, Diane M.; Berg, Alfred O.; Black, Robert A.; Tarczy-Hornoch, Peter

    2012-01-01

    The University of Washington Institute of Translational Health Sciences is engaged in a project, LC Data QUEST, building data sharing capacity in primary care practices serving rural and tribal populations in the Washington, Wyoming, Alaska, Montana, Idaho region to build research infrastructure. We report on the iterative process of developing the technical architecture for semantically aligning electronic health data in primary care settings across our pilot sites and tools that will facilitate linkages between the research and practice communities. Our architecture emphasizes sustainable technical solutions for addressing data extraction, alignment, quality, and metadata management. The architecture provides immediate benefits to participating partners via a clinical decision support tool and data querying functionality to support local quality improvement efforts. The FInDiT tool catalogues type, quantity, and quality of the data that are available across the LC Data QUEST data sharing architecture. These tools facilitate the bi-directional process of translational research. PMID:22779052

  10. Trust, Respect, and Reciprocity: Informing Culturally Appropriate Data-Sharing Practice in Vietnam.

    PubMed

    Merson, Laura; Phong, Tran Viet; Nhan, Le Nguyen Thanh; Dung, Nguyen Thanh; Ngan, Ta Thi Dieu; Kinh, Nguyen Van; Parker, Michael; Bull, Susan

    2015-07-01

    International science funders and publishers are driving a growing trend in data sharing. There is mounting pressure on researchers in low- and middle-income settings to conform to new sharing policies, despite minimal empirically grounded accounts of the ethical challenges of implementing the policies in these settings. This study used in-depth interviews and focus group discussions with 48 stakeholders in Vietnam to explore the experiences, attitudes, and expectations that inform ethical and effective approaches to sharing clinical research data. Distinct views on the role of trust, respect, and reciprocity were among those that emerged to inform culturally appropriate best practices. We conclude by discussing the challenges that authors of data-sharing policies should consider in this unique context.

  11. An International Framework for Data Sharing: Moving Forward with the Global Alliance for Genomics and Health.

    PubMed

    Rahimzadeh, Vasiliki; Dyke, Stephanie O M; Knoppers, Bartha M

    2016-06-01

    The Global Alliance for Genomics and Health is marshaling expertise in biomedical research and data sharing policy to propel bench-to-bedside translation of genomics in parallel with many of the BioSHaRE-EU initiatives described at length in this Issue. Worldwide representation of institutions, funders, researchers, and patient advocacy groups at the Global Alliance is testament to a shared ideal that sees maximizing the public good as a chief priority of genomic innovation in health. The Global Alliance has made a critical stride in this regard with the development of its Framework for Responsible Sharing of Genomic and Health-related Data.(1) This article first discusses the human rights pillars that underlie the Framework and mission of the Global Alliance. Second, it outlines the Global Alliance's use of data governance policies through a number of demonstration projects. Finally, the authors describe how the Global Alliance envisions international data sharing moving forward in the postgenomic era.

  12. Integrating GIS with Distributed Applications Using Dynamic Data-Sharing Mechanisms

    SciTech Connect

    Burnett, Robert A. ); Tzemos, Spyridon ); Stoops, LaMar R. )

    2002-08-21

    Effective integration of a stand-alone GIS (e.g., ArcView 3.x) into a complex distributed software application requires an efficient, reliable mechanism for passing data and function requests to and from the GIS component. This paper describes the use of dynamic data-sharing and inter-process communication mechanisms to integrate GIS capability into a multi-jurisdictional distributed emergency management information system. These mechanisms include dynamic layer updates from spatial and attribute information shared via a distributed relational database across multiple sites; storage of private and shared ViewMarks to facilitate consistent GIS views; and asynchronous inter-process communication using function queuing and a data sharing library.

  13. The Tension Between Data Sharing and the Protection of Privacy in Genomics Research

    PubMed Central

    Kaye, Jane

    2014-01-01

    Next-generation sequencing and global data sharing challenge many of the governance mechanisms currently in place to protect the privacy of research participants. These challenges will make it more difficult to guarantee anonymity for participants, provide information to satisfy the requirements of informed consent, and ensure complete withdrawal from research when requested. To move forward, we need to improve the current governance systems for research so that they are responsive to individual privacy concerns but can also be effective at a global level. We need to develop a system of e-governance that can complement existing governance systems but that places greater reliance on the use of technology to ensure compliance with ethical and legal requirements. These new governance structures must be able to address the concerns of research participants while at the same time ensuring effective data sharing that promotes public trust in genomics research. PMID:22404490

  14. The Mason Water Data Information System (MWDIS): Enabling data sharing and discovery at George Mason University

    NASA Astrophysics Data System (ADS)

    Ferreira, C.; Da Silva, A. L.; Nunes, A.; Haddad, J.; Lawler, S.

    2014-12-01

    Enabling effective data use and re-use in scientific investigations relies heavily not only on data availability but also on efficient data sharing discovery. The CUAHSI led Hydrological Information Systems (HIS) and supporting products have paved the way to efficient data sharing and discovery in the hydrological sciences. Based on the CUAHSI-HIS framework concepts for hydrologic data sharing we developed a unique system devoted to the George Mason University scientific community to support university wide data sharing and discovery as well as real time data access for extreme events situational awareness. The internet-based system will provide an interface where the researchers will input data collected from the measurement stations and present them to the public in form of charts, tables, maps, and documents. Moreover, the system is developed in ASP.NET MVC 4 using as Database Management System, Microsoft SQL Server 2008 R2, and hosted by Amazon Web Services. Currently the system is supporting the Mason Watershed Project providing historical hydrological, atmospheric and water quality data for the campus watershed and real time flood conditions in the campus. The system is also a gateway for unprecedented data collection of hurricane storm surge hydrodynamics in coastal wetlands in the Chesapeake Bay providing not only access to historical data but recent storms such as Hurricane Arthur. Future research includes coupling the system to a real-time flood alert system on campus, and besides providing data on the World Wide Web, to foment and provide a venue for interdisciplinary collaboration within the water scientists in the region.

  15. Perspectives on Open Science and scientific data sharing:an interdisciplinary workshop.

    PubMed

    Destro Bisol, Giovanni; Anagnostou, Paolo; Capocasa, Marco; Bencivelli, Silvia; Cerroni, Andrea; Contreras, Jorge; Enke, Neela; Fantini, Bernardino; Greco, Pietro; Heeney, Catherine; Luzi, Daniela; Manghi, Paolo; Mascalzoni, Deborah; Molloy, Jennifer; Parenti, Fabio; Wicherts, Jelte; Boulton, Geoffrey

    2014-01-01

    Looking at Open Science and Open Data from a broad perspective. This is the idea behind "Scientific data sharing: an interdisciplinary workshop", an initiative designed to foster dialogue between scholars from different scientific domains which was organized by the Istituto Italiano di Antropologia in Anagni, Italy, 2-4 September 2013.We here report summaries of the presentations and discussions at the meeting. They deal with four sets of issues: (i) setting a common framework, a general discussion of open data principles, values and opportunities; (ii) insights into scientific practices, a view of the way in which the open data movement is developing in a variety of scientific domains (biology, psychology, epidemiology and archaeology); (iii) a case study of human genomics, which was a trail-blazer in data sharing, and which encapsulates the tension that can occur between large-scale data sharing and one of the boundaries of openness, the protection of individual data; (iv) open science and the public, based on a round table discussion about the public communication of science and the societal implications of open science. There were three proposals for the planning of further interdisciplinary initiatives on open science. Firstly, there is a need to integrate top-down initiatives by governments, institutions and journals with bottom-up approaches from the scientific community. Secondly, more should be done to popularize the societal benefits of open science, not only in providing the evidence needed by citizens to draw their own conclusions on scientific issues that are of concern to them, but also explaining the direct benefits of data sharing in areas such as the control of infectious disease. Finally, introducing arguments from social sciences and humanities in the educational dissemination of open data may help students become more profoundly engaged with Open Science and look at science from a broader perspective.

  16. Eight reasons payer interoperability and data sharing are essential in ACOs. Interoperability standards could be a prerequisite to measuring care.

    PubMed

    Mookencherry, Shefali

    2012-01-01

    It makes strategic and business sense for payers and providers to collaborate on how to take substantial cost out of the healthcare delivery system. Acting independently, neither medical groups, hospitals nor health plans have the optimal mix of resources and incentives to significantly reduce costs. Payers have core assets such as marketing, claims data, claims processing, reimbursement systems and capital. It would be cost prohibitive for all but the largest providers to develop these capabilities in order to compete directly with insurers. Likewise, medical groups and hospitals are positioned to foster financial interdependence among providers and coordinate the continuum of patient illnesses and care settings. Payers and providers should commit to reasonable clinical and cost goals, and share resources to minimize expenses and financial risks. It is in the interest of payers to work closely with providers on risk-management strategies because insurers need synergy with ACOs to remain cost competitive. It is in the interest of ACOs to work collaboratively with payers early on to develop reasonable and effective performance benchmarks. Hence, it is essential to have payer interoperability and data sharing integrated in an ACO model.

  17. Data Democratization - Promoting Real-Time Data Sharing and Use throughout the Americas

    NASA Astrophysics Data System (ADS)

    Yoksas, T. C.

    2006-05-01

    The Unidata Program Center (Unidata) of the University Corporation of Atmospheric Research (UCAR) is actively involved in international collaborations whose goals are real-time sharing of hydro-meteorological data by institutions of higher education throughout the Americas; in the distribution of analysis and visualization tools for those data; and in the establishment of server sites that provide easy-to-use, programmatic remote- access to a wide variety of datasets. Data sharing capabilities are being provided by Unidata's Internet Data Distribution (IDD) system, a community-based effort that has been the primary source of real-time meteorological data for approximately 150 US universities for over a decade. A collaboration among Unidata, Brazil's Centro de PreviSão de Tempo e Estudos Climáticos (CPTEC), the Universidad Federal do Rio de Janeiro (UFRJ), and the Universidade de São Paulo (USP) has resulted in the creation of a Brazilian peer of the North American IDD, the IDD-Brasil. Collaboration among Unidata, the Universidad de Costa Rica (UCR), and the University of Puerto Rico at Mayaguez (UPRM) seeks to extend IDD data sharing throughout Central America and the Caribbean in an IDD-Caribe. Collaboration between Unidata and the Caribbean Institute for Meteorology and Hydrology (CIMH), a World Meteorological Organization (WMO) Regional Meteorological Training Center (RMTC) based in Barbados, has been launched to investigate the possibility of expansion of IDD data sharing throughout Caribbean RMTC member countries. Most recently, efforts aimed at creating a data sharing network for researchers on the Antarctic continent have resulted in the establishment of the Antarctic-IDD. Data analysis and visualization capabilities are being provided by Unidata through a suite of freely-available applications: the National Centers for Environmental Prediction (NCEP) GEneral Meteorology PAcKage (GEMPAK); the Unidata Integrated Data Viewer (IDV); and University of

  18. ISMP Medication Error Report Analysis: Understanding Human Over-reliance on Technology It's Exelan, Not Exelon Crash Cart Drug Mix-up Risk with Entering a "Test Order".

    PubMed

    Cohen, Michael R; Smetzer, Judy L

    2017-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  19. International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining

    PubMed Central

    Meldolesi, Elisa; van Stiphout, Ruud G.P.M.

    2016-01-01

    Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data. PMID:24309199

  20. International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.

    PubMed

    Roelofs, Erik; Dekker, André; Meldolesi, Elisa; van Stiphout, Ruud G P M; Valentini, Vincenzo; Lambin, Philippe

    2014-02-01

    Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data.

  1. Compliance and Cognitive Function: A Methodological Approach to Measuring Unintentional Errors in Medication Compliance in the Elderly.

    ERIC Educational Resources Information Center

    Isaac, Lisa M.; And Others

    1993-01-01

    Assessed multiple aspects of cognitive performance, medication planning ability, and medication compliance in 20 elderly outpatients. Findings suggest that aspects of attention/concentration, visual and verbal memory, and motor function which are untapped by simple mental status assessment are related to medication access, planning, and compliance…

  2. Design and study of geosciences data share platform :platform framework, data interoperability, share approach

    NASA Astrophysics Data System (ADS)

    Lu, H.; Yi, D.

    2010-12-01

    The Deep Exploration is one of the important approaches to the Geoscience research. Since 1980s we had started it and achieved a lot of data. Researchers usually integrate both data of space exploration and deep exploration to study geological structures and represent the Earth’s subsurface, and analyze and explain on the base of integrated data. Due to the different exploration approach it results the heterogeneity of data, and therefore the data achievement is always of the import issue to make the researchers confused. The problem of data share and interaction has to be solved during the development of the SinoProbe research project. Through the research of domestic and overseas well-known exploration project and geosciences data platform, the subject explores the solution of data share and interaction. Based on SOA we present the deep exploration data share framework which comprises three level: data level is used for the solution of data store and the integration of the heterogeneous data; medial level provides the data service of geophysics, geochemistry, etc. by the means of Web service, and carry out kinds of application combination by the use of GIS middleware and Eclipse RCP; interaction level provides professional and non-professional customer the access to different accuracy data. The framework adopts GeoSciML data interaction approach. GeoSciML is a geosciences information markup language, as an application of the OpenGIS Consortium’s (OGC) Geography Markup Language (GML). It transfers heterogeneous data into one earth frame and implements inter-operation. We dissertate in this article the solution how to integrate the heterogeneous data and share the data in the project of SinoProbe.

  3. The intellectual property management for data sharing in a German liver cancer research network.

    PubMed

    He, Shan; Ganzinger, Matthias; Knaup, Petra

    2012-01-01

    Sharing data in biomedical research networks has great potential benefits including efficient use of resources, avoiding duplicate experiments and promoting collaboration. However, concerns from data producers about difficulties of getting proper acknowledgement for their contributions are becoming obstacles for efficient and network wide data sharing in reality. Effective and convenient ways of intellectual property management and acknowledging contributions to the data producers are required. This paper analyzed the system requirements for intellectual property management in a German liver cancer research network and proposed solutions for facilitating acknowledgement of data contributors using informatics tools instead of pure policy level strategies.

  4. Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases

    NASA Astrophysics Data System (ADS)

    Jain, Anubhav; Persson, Kristin A.; Ceder, Gerbrand

    2016-05-01

    Materials innovations enable new technological capabilities and drive major societal advancements but have historically required long and costly development cycles. The Materials Genome Initiative (MGI) aims to greatly reduce this time and cost. In this paper, we focus on data reuse in the MGI and, in particular, discuss the impact of three different computational databases based on density functional theory methods to the research community. We also discuss and provide recommendations on technical aspects of data reuse, outline remaining fundamental challenges, and present an outlook on the future of MGI's vision of data sharing.

  5. caNanoLab: data sharing to expedite the use of nanotechnology in biomedicine.

    PubMed

    Gaheen, Sharon; Hinkal, George W; Morris, Stephanie A; Lijowski, Michal; Heiskanen, Mervi; Klemm, Juli D

    2013-11-21

    The use of nanotechnology in biomedicine involves the engineering of nanomaterials to act as therapeutic carriers, targeting agents and diagnostic imaging devices. The application of nanotechnology in cancer aims to transform early detection, targeted therapeutics and cancer prevention and control. To assist in expediting and validating the use of nanomaterials in biomedicine, the National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology, in collaboration with the NCI Alliance for Nanotechnology in Cancer (Alliance), has developed a data sharing portal called caNanoLab. caNanoLab provides access to experimental and literature curated data from the NCI Nanotechnology Characterization Laboratory, the Alliance and the greater cancer nanotechnology community.

  6. Domain-specific data sharing in neuroscience: what do we have to learn from each other?

    PubMed

    Van Horn, John Darrell; Ball, Catherine A

    2008-01-01

    Molecular biology and genomics have made notable strides in the sharing of primary data and resources. In other domains of neuroscience research, however, there has been resistance to adopting formalized strategies for data exchange, archiving, and availability. In this article, we discuss how neuroscience domains might follow the lead of molecular biology on what has been successful and what has failed in active data sharing. This considers not only the technical challenges but also the sociological concerns in making it possible. Though, not a pain-free process, with increased data availability, scientists from multiple fields can enjoy greater opportunity for novel discoveries about the brain in health and disease.

  7. Psycho-Motor and Error Enabled Simulations: Modeling Vulnerable Skills in the Pre-Mastery Phase Medical Practice Initiative Procedural Skill Decay and Maintenance (MPI-PSD)

    DTIC Science & Technology

    2014-04-01

    participants are also presented with a scenario of recovering from errors forced on them by the robotic tool. Figure 3 Bowel Anastomosis station...collected data from surgery faculty, residents, and medical students (N=15) on the variable tissue simulator designed to assess performance while suturing on...Submitted to the journal Surgery . SBAS (accepted-poster) Maag, A.D., Rutherford, D.N., Laufer, S., Kwan, C., Cohen, E.R., Pugh, C.M. (2014). The

  8. A Mobile Device App to Reduce Time to Drug Delivery and Medication Errors During Simulated Pediatric Cardiopulmonary Resuscitation: A Randomized Controlled Trial

    PubMed Central

    Combescure, Christophe; Lacroix, Laurence; Haddad, Kevin; Sanchez, Oliver; Gervaix, Alain; Lovis, Christian; Manzano, Sergio

    2017-01-01

    Background During pediatric cardiopulmonary resuscitation (CPR), vasoactive drug preparation for continuous infusion is both complex and time-consuming, placing children at higher risk than adults for medication errors. Following an evidence-based ergonomic-driven approach, we developed a mobile device app called Pediatric Accurate Medication in Emergency Situations (PedAMINES), intended to guide caregivers step-by-step from preparation to delivery of drugs requiring continuous infusion. Objective The aim of our study was to determine whether the use of PedAMINES reduces drug preparation time (TDP) and time to delivery (TDD; primary outcome), as well as medication errors (secondary outcomes) when compared with conventional preparation methods. Methods The study was a randomized controlled crossover trial with 2 parallel groups comparing PedAMINES with a conventional and internationally used drugs infusion rate table in the preparation of continuous drug infusion. We used a simulation-based pediatric CPR cardiac arrest scenario with a high-fidelity manikin in the shock room of a tertiary care pediatric emergency department. After epinephrine-induced return of spontaneous circulation, pediatric emergency nurses were first asked to prepare a continuous infusion of dopamine, using either PedAMINES (intervention group) or the infusion table (control group), and second, a continuous infusion of norepinephrine by crossing the procedure. The primary outcome was the elapsed time in seconds, in each allocation group, from the oral prescription by the physician to TDD by the nurse. TDD included TDP. The secondary outcome was the medication dosage error rate during the sequence from drug preparation to drug injection. Results A total of 20 nurses were randomized into 2 groups. During the first study period, mean TDP while using PedAMINES and conventional preparation methods was 128.1 s (95% CI 102-154) and 308.1 s (95% CI 216-400), respectively (180 s reduction, P=.002). Mean

  9. The European Union's Adequacy Approach to Privacy and International Data Sharing in Health Research.

    PubMed

    Stoddart, Jennifer; Chan, Benny; Joly, Yann

    2016-03-01

    The European Union (EU) approach to data protection consists of assessing the adequacy of the data protection offered by the laws of a particular jurisdiction against a set of principles that includes purpose limitation, transparency, quality, proportionality, security, access, and rectification. The EU's Data Protection Directive sets conditions on the transfer of data to third countries by prohibiting Member States from transferring to such countries as have been deemed inadequate in terms of the data protection regimes. In theory, each jurisdiction is evaluated similarly and must be found fully compliant with the EU's data protection principles to be considered adequate. In practice, the inconsistency with which these evaluations are made presents a hurdle to international data-sharing and makes difficult the integration of different data-sharing approaches; in the 20 years since the Directive was first adopted, the laws of only five countries from outside of the EU, Economic Area, or the European Free Trade Agreement have been deemed adequate to engage in data transfers without the need for further administrative safeguards.

  10. Conducting Research with Tribal Communities: Sovereignty, Ethics, and Data-Sharing Issues

    PubMed Central

    Harper, Barbara; Stone, Dave; O’Neill, Catherine; Berger, Patricia; Harris, Stuart; Donatuto, Jamie

    2011-01-01

    Background: When conducting research with American Indian tribes, informed consent beyond conventional institutional review board (IRB) review is needed because of the potential for adverse consequences at a community or governmental level that are unrecognized by academic researchers. Objectives: In this article, we review sovereignty, research ethics, and data-sharing considerations when doing community-based participatory health–related or natural-resource–related research with American Indian nations and present a model material and data-sharing agreement that meets tribal and university requirements. Discussion: Only tribal nations themselves can identify potential adverse outcomes, and they can do this only if they understand the assumptions and methods of the proposed research. Tribes must be truly equal partners in study design, data collection, interpretation, and publication. Advances in protection of intellectual property rights (IPR) are also applicable to IRB reviews, as are principles of sovereignty and indigenous rights, all of which affect data ownership and control. Conclusions: Academic researchers engaged in tribal projects should become familiar with all three areas: sovereignty, ethics and informed consent, and IPR. We recommend developing an agreement with tribal partners that reflects both health-related IRB and natural-resource–related IPR considerations. PMID:21890450

  11. A Requirement Engineering Framework for Electronic Data Sharing of Health Care Data Between Organizations

    NASA Astrophysics Data System (ADS)

    Liu, Xia; Peyton, Liam; Kuziemsky, Craig

    Health care is increasingly provided to citizens by a network of collaboration that includes multiple providers and locations. Typically, that collaboration is on an ad-hoc basis via phone calls, faxes, and paper based documentation. Internet and wireless technologies provide an opportunity to improve this situation via electronic data sharing. These new technologies make possible new ways of working and collaboration but it can be difficult for health care organizations to understand how to use the new technologies while still ensuring that their policies and objectives are being met. It is also important to have a systematic approach to validate that e-health processes deliver the performance improvements that are expected. Using a case study of a palliative care patient receiving home care from a team of collaborating health organizations, we introduce a framework based on requirements engineering. Key concerns and objectives are identified and modeled (privacy, security, quality of care, and timeliness of service). And, then, proposed business processes which use new technologies are modeled in terms of these concerns and objectives to assess their impact and ensure that electronic data sharing is well regulated.

  12. Big data from small data: data-sharing in the 'long tail' of neuroscience.

    PubMed

    Ferguson, Adam R; Nielson, Jessica L; Cragin, Melissa H; Bandrowski, Anita E; Martone, Maryann E

    2014-11-01

    The launch of the US BRAIN and European Human Brain Projects coincides with growing international efforts toward transparency and increased access to publicly funded research in the neurosciences. The need for data-sharing standards and neuroinformatics infrastructure is more pressing than ever. However, 'big science' efforts are not the only drivers of data-sharing needs, as neuroscientists across the full spectrum of research grapple with the overwhelming volume of data being generated daily and a scientific environment that is increasingly focused on collaboration. In this commentary, we consider the issue of sharing of the richly diverse and heterogeneous small data sets produced by individual neuroscientists, so-called long-tail data. We consider the utility of these data, the diversity of repositories and options available for sharing such data, and emerging best practices. We provide use cases in which aggregating and mining diverse long-tail data convert numerous small data sources into big data for improved knowledge about neuroscience-related disorders.

  13. Data Democratization - Promoting Real-Time Data Sharing and Use Worldwide

    NASA Astrophysics Data System (ADS)

    Yoksas, T. C.; Almeida, W. G.; Leon, V. C.

    2007-05-01

    The Unidata Program Center (Unidata) of the University Corporation of Atmospheric Research (UCAR) is actively involved in international collaborations whose goals are the free-and-open sharing of hydro-meteorological data; the distribution of analysis and visualization tools for those data; the establishment of server technologies that provide easy-to-use, programmatic remote-access to a wide variety of datasets, and in the building of a community where data, tools, and best practices in education and research are shared. The tools and services provided by Unidata are available to the research and education community free-of-charge. Data sharing capabilities are being provided by Unidata's Internet Data Distribution (IDD) system, a community-based effort that has been the primary source of real-time meteorological data in the US university community for over a decade. A collaboration among Unidata, Brazil's Centro de Previso de Tempo e Estudos Climaticos (CPTEC), the Universidad Federal do Rio de Janeiro (UFRJ), and the Universidade de Sao Paulo (USP) has resulted in the creation of a Brazilian peer of the North American IDD, the IDD-Brasil. Collaboration between Unidata and the Universidad de Costa Rica (UCR) seeks to extend IDD data sharing throughout Central America and the Caribbean in an IDD-Caribe. Efforts aimed at creating a data sharing network for researchers on the Antarctic continent have resulted in the establishment of the Antarctic-IDD. Most recently, explorations of data sharing between UCAR and select countries in Africa have begun. Data analysis and visualization capabilities are available through Unidata in a suite of freely-available applications: the National Centers for Environmental Prediction (NCEP) GEneral Meteorology PAcKage (GEMPAK); the Unidata Integrated Data Viewer (IDV); and University of Wisconsin, Space Science and Engineering Center (SSEC) Man-computer Interactive Data Access System (McIDAS). Remote data access capabilities are

  14. Stepped-wedge cluster randomised controlled trial to assess the effectiveness of an electronic medication management system to reduce medication errors, adverse drug events and average length of stay at two paediatric hospitals: a study protocol

    PubMed Central

    Westbrook, J I; Li, L; Raban, M Z; Baysari, M T; Prgomet, M; Georgiou, A; Kim, T; Lake, R; McCullagh, C; Dalla-Pozza, L; Karnon, J; O'Brien, T A; Ambler, G; Day, R; Cowell, C T; Gazarian, M; Worthington, R; Lehmann, C U; White, L; Barbaric, D; Gardo, A; Kelly, M; Kennedy, P

    2016-01-01

    Introduction Medication errors are the most frequent cause of preventable harm in hospitals. Medication management in paediatric patients is particularly complex and consequently potential for harms are greater than in adults. Electronic medication management (eMM) systems are heralded as a highly effective intervention to reduce adverse drug events (ADEs), yet internationally evidence of their effectiveness in paediatric populations is limited. This study will assess the effectiveness of an eMM system to reduce medication errors, ADEs and length of stay (LOS). The study will also investigate system impact on clinical work processes. Methods and analysis A stepped-wedge cluster randomised controlled trial (SWCRCT) will measure changes pre-eMM and post-eMM system implementation in prescribing and medication administration error (MAE) rates, potential and actual ADEs, and average LOS. In stage 1, 8 wards within the first paediatric hospital will be randomised to receive the eMM system 1 week apart. In stage 2, the second paediatric hospital will randomise implementation of a modified eMM and outcomes will be assessed. Prescribing errors will be identified through record reviews, and MAEs through direct observation of nurses and record reviews. Actual and potential severity will be assigned. Outcomes will be assessed at the patient-level using mixed models, taking into account correlation of admissions within wards and multiple admissions for the same patient, with adjustment for potential confounders. Interviews and direct observation of clinicians will investigate the effects of the system on workflow. Data from site 1 will be used to develop improvements in the eMM and implemented at site 2, where the SWCRCT design will be repeated (stage 2). Ethics and dissemination The research has been approved by the Human Research Ethics Committee of the Sydney Children's Hospitals Network and Macquarie University. Results will be reported through academic journals and

  15. Quality improvements in decreasing medication administration errors made by nursing staff in an academic medical center hospital: a trend analysis during the journey to Joint Commission International accreditation and in the post-accreditation era

    PubMed Central

    Wang, Hua-fen; Jin, Jing-fen; Feng, Xiu-qin; Huang, Xin; Zhu, Ling-ling; Zhao, Xiao-ying; Zhou, Quan

    2015-01-01

    Background Medication errors may occur during prescribing, transcribing, prescription auditing, preparing, dispensing, administration, and monitoring. Medication administration errors (MAEs) are those that actually reach patients and remain a threat to patient safety. The Joint Commission International (JCI) advocates medication error prevention, but experience in reducing MAEs during the period of before and after JCI accreditation has not been reported. Methods An intervention study, aimed at reducing MAEs in hospitalized patients, was performed in the Second Affiliated Hospital of Zhejiang University, Hangzhou, People’s Republic of China, during the journey to JCI accreditation and in the post-JCI accreditation era (first half-year of 2011 to first half-year of 2014). Comprehensive interventions included organizational, information technology, educational, and process optimization-based measures. Data mining was performed on MAEs derived from a compulsory electronic reporting system. Results The number of MAEs continuously decreased from 143 (first half-year of 2012) to 64 (first half-year of 2014), with a decrease in occurrence rate by 60.9% (0.338% versus 0.132%, P<0.05). The number of MAEs related to high-alert medications decreased from 32 (the second half-year of 2011) to 16 (the first half-year of 2014), with a decrease in occurrence rate by 57.9% (0.0787% versus 0.0331%, P<0.05). Omission was the top type of MAE during the first half-year of 2011 to the first half-year of 2014, with a decrease by 50% (40 cases versus 20 cases). Intravenous administration error was the top type of error regarding administration route, but it continuously decreased from 64 (first half-year of 2012) to 27 (first half-year of 2014). More experienced registered nurses made fewer medication errors. The number of MAEs in surgical wards was twice that in medicinal wards. Compared with non-intensive care units, the intensive care units exhibited higher occurrence rates of MAEs

  16. High-resolution, low-delay, and error-resilient medical ultrasound video communication using H.264/AVC over mobile WiMAX networks.

    PubMed

    Panayides, Andreas; Antoniou, Zinonas C; Mylonas, Yiannos; Pattichis, Marios S; Pitsillides, Andreas; Pattichis, Constantinos S

    2013-05-01

    In this study, we describe an effective video communication framework for the wireless transmission of H.264/AVC medical ultrasound video over mobile WiMAX networks. Medical ultrasound video is encoded using diagnostically-driven, error resilient encoding, where quantization levels are varied as a function of the diagnostic significance of each image region. We demonstrate how our proposed system allows for the transmission of high-resolution clinical video that is encoded at the clinical acquisition resolution and can then be decoded with low-delay. To validate performance, we perform OPNET simulations of mobile WiMAX Medium Access Control (MAC) and Physical (PHY) layers characteristics that include service prioritization classes, different modulation and coding schemes, fading channels conditions, and mobility. We encode the medical ultrasound videos at the 4CIF (704 × 576) resolution that can accommodate clinical acquisition that is typically performed at lower resolutions. Video quality assessment is based on both clinical (subjective) and objective evaluations.

  17. Time-dependent Drug–Drug Interaction Alerts in Care Provider Order Entry: Software May Inhibit Medication Error Reductions

    PubMed Central

    van der Sijs, Heleen; Lammers, Laureen; van den Tweel, Annemieke; Aarts, Jos; Berg, Marc; Vulto, Arnold; van Gelder, Teun

    2009-01-01

    Time-dependent drug–drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to overridden TDDIs in a care provider order entry (CPOE) system. In four periods divided over two studies, logged TDDIs were investigated by reviewing the time intervals prescribed in the CPOE and recorded on the patient chart. The first study showed significant drug administration error reduction from 56.4 to 36.2% (p < 0.05), whereas the second study was not successful (46.7 and 45.2%; p > 0.05). Despite interventions, drug administration errors still occurred in more than one third of cases and prescribing errors in 79–87%. Probably the low alert specificity, the unclear alert information content, and the inability of the software to support safe and efficient TDDI alert handling all diminished correct prescribing, and consequently, insufficiently reduced drug administration errors. PMID:19717806

  18. Time-dependent drug-drug interaction alerts in care provider order entry: software may inhibit medication error reductions.

    PubMed

    van der Sijs, Heleen; Lammers, Laureen; van den Tweel, Annemieke; Aarts, Jos; Berg, Marc; Vulto, Arnold; van Gelder, Teun

    2009-01-01

    Time-dependent drug-drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to overridden TDDIs in a care provider order entry (CPOE) system. In four periods divided over two studies, logged TDDIs were investigated by reviewing the time intervals prescribed in the CPOE and recorded on the patient chart. The first study showed significant drug administration error reduction from 56.4 to 36.2% (p<0.05), whereas the second study was not successful (46.7 and 45.2%; p>0.05). Despite interventions, drug administration errors still occurred in more than one third of cases and prescribing errors in 79-87%. Probably the low alert specificity, the unclear alert information content, and the inability of the software to support safe and efficient TDDI alert handling all diminished correct prescribing, and consequently, insufficiently reduced drug administration errors.

  19. A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models.

    PubMed

    Mayr, Andreas; Schmid, Matthias; Pfahlberg, Annette; Uter, Wolfgang; Gefeller, Olaf

    2015-04-24

    Measurement errors of medico-technical devices can be separated into systematic bias and random error. We propose a new method to address both simultaneously via generalized additive models for location, scale and shape (GAMLSS) in combination with permutation tests. More precisely, we extend a recently proposed boosting algorithm for GAMLSS to provide a test procedure to analyse potential device effects on the measurements. We carried out a large-scale simulation study to provide empirical evidence that our method is able to identify possible sources of systematic bias as well as random error under different conditions. Finally, we apply our approach to compare measurements of skin pigmentation from two different devices in an epidemiological study.

  20. Data sharing between home care professionals: a feasibility study using the RAI Home Care instrument

    PubMed Central

    2014-01-01

    Background Across Ontario, home care professionals collect standardized information on each client using the Resident Assessment for Home Care (RAI-HC). However, this information is not consistently shared with those professionals who provide services in the client’s home. In this pilot study, we examined the feasibility of sharing data, from the RAI-HC, between care coordinators and service providers. Methods All participants were involved in a one-day training session on the RAI-HC. The care coordinators shared specific outputs from the RAI-HC, including the embedded health index scales, with their contracted physiotherapy and occupational therapy service providers. Two focus groups were held, one with care coordinators (n = 4) and one with contracted service providers (n = 6). They were asked for their opinions on the positive aspects of the project and areas for improvement. Results The focus groups revealed a number of positive outcomes related to the project including the use of a falls prevention brochure and an increased level of communication between professionals. The participants also cited multiple areas for improvement related to data sharing (e.g., time constraints, data being sent in a timely fashion) and to their standard practices in the community (e.g., busy workloads, difficulties in data sharing, duplication of assessments between professionals). Conclusions Home care professionals were able to share select pieces of information generated from the RAI-HC system and this project enhanced the level of communication between the two groups of professionals. However, a single information session was not adequate training for the rehabilitation professionals, who do not use the RAI-HC as part of normal practice. Better education, ongoing support and timely access to the RAI-HC data are some ways to improve the usefulness of this information for busy home care providers. PMID:24975375

  1. Medication Safety in Clinical Trials: Role of the Pharmacist in Optimizing Practice, Collaboration, and Education to Reduce Errors.

    PubMed

    Brown, Jamie N; Britnell, Sara R; Stivers, Andrew P; Cruz, Jennifer L

    2017-03-01

    Standardized safety practices for investigational drugs in clinical research protocols are limited and the vast majority of research pharmacists have concerns regarding its safety. Identified areas for medication safety risks include protocol complexity, medication ordering, and the processes for packaging, storage, and dispensing investigational medications. Inclusion of a pharmacist creates multiple mechanisms to promote safety and improve the quality of clinical research. This is accomplished through collaborating in the development of a research protocol, reviewing as a member of an advisory committee, developing mechanisms that contribute to safety, and assuring compliance with local and national regulations and standards. Ultimately, the profession of pharmacy has foundational responsibility for assuring the safe and effective use of medications, including investigational drugs in clinical research. It is through multidisciplinary collaboration that a research study will attain the highest standards for safety and maximize the quality and effectiveness of the data obtained in the clinical trial.

  2. Medication Safety in Clinical Trials: Role of the Pharmacist in Optimizing Practice, Collaboration, and Education to Reduce Errors

    PubMed Central

    Brown, Jamie N.; Britnell, Sara R.; Stivers, Andrew P.; Cruz, Jennifer L.

    2017-01-01

    Standardized safety practices for investigational drugs in clinical research protocols are limited and the vast majority of research pharmacists have concerns regarding its safety. Identified areas for medication safety risks include protocol complexity, medication ordering, and the processes for packaging, storage, and dispensing investigational medications. Inclusion of a pharmacist creates multiple mechanisms to promote safety and improve the quality of clinical research. This is accomplished through collaborating in the development of a research protocol, reviewing as a member of an advisory committee, developing mechanisms that contribute to safety, and assuring compliance with local and national regulations and standards. Ultimately, the profession of pharmacy has foundational responsibility for assuring the safe and effective use of medications, including investigational drugs in clinical research. It is through multidisciplinary collaboration that a research study will attain the highest standards for safety and maximize the quality and effectiveness of the data obtained in the clinical trial. PMID:28356900

  3. German critical incident reporting system database of prehospital emergency medicine: Analysis of reported communication and medication errors between 2005–2015

    PubMed Central

    Hohenstein, Christian; Fleischmann, Thomas; Rupp, Peter; Hempel, Dorothea; Wilk, Sophia; Winning, Johannes

    2016-01-01

    BACKGROUND: Communication failure in prehospital emergency medicine can affect patient safety as it does in other areas of medicine as well. We analyzed the database of the critical incident reporting system for prehospital emergency medicine in Germany retrospectively regarding communication errors. METHODS: Experts of prehospital emergency medicine and risk management screened the database for verbal communication failure, non-verbal communication failure and missing communication at all. RESULTS: Between 2005 and 2015, 845 reports were analyzed, of which 247 reports were considered to be related to communication failure. An arbitrary classification resulted in six different kinds: 1) no acknowledgement of a suggestion; 2) medication error; 3) miscommunication with dispatcher; 4) utterance heard/understood improperly; 5) missing information transfer between two persons; and 6) other communication failure. CONCLUSION: Communication deficits can lead to critical incidents in prehospital emergency medicine and are a very important aspect in patient safety. PMID:27313802

  4. Is single room hospital accommodation associated with differences in healthcare-associated infection, falls, pressure ulcers or medication errors? A natural experiment with non-equivalent controls

    PubMed Central

    Maben, Jill; Murrells, Trevor; Griffiths, Peter

    2016-01-01

    Objectives A wide range of patient benefits have been attributed to single room hospital accommodation including a reduction in adverse patient safety events. However, studies have been limited to the US with limited evidence from elsewhere. The aim of this study was to assess the impact on safety outcomes of the move to a newly built all single room acute hospital. Methods A natural experiment investigating the move to 100% single room accommodation in acute assessment, surgical and older people’s wards. Move to 100% single room accommodation compared to ‘steady state’ and ‘new build’ control hospitals. Falls, pressure ulcer, medication error, meticillin-resistant Staphylococcus aureus and Clostridium difficile rates from routine data sources were measured over 36 months. Results Five of 15 time series in the wards that moved to single room accommodation revealed changes that coincided with the move to the new all single room hospital: specifically, increased fall, pressure ulcer and Clostridium difficile rates in the older people’s ward, and temporary increases in falls and medication errors in the acute assessment unit. However, because the case mix of the older people’s ward changed, and because the increase in falls and medication errors on the acute assessment ward did not last longer than six months, no clear effect of single rooms on the safety outcomes was demonstrated. There were no changes to safety events coinciding with the move at the new build control site. Conclusion For all changes in patient safety events that coincided with the move to single rooms, we found plausible alternative explanations such as case-mix change or disruption as a result of the re-organization of services after the move. The results provide no evidence of either benefit or harm from all single room accommodation in terms of safety-related outcomes, although there may be short-term risks associated with a move to single rooms. PMID:26811373

  5. Dataworks for GNSS: Software for Supporting Data Sharing and Federation of Geodetic Networks

    NASA Astrophysics Data System (ADS)

    Boler, F. M.; Meertens, C. M.; Miller, M. M.; Wier, S.; Rost, M.; Matykiewicz, J.

    2015-12-01

    Continuously-operating Global Navigation Satellite System (GNSS) networks are increasingly being installed globally for a wide variety of science and societal applications. GNSS enables Earth science research in areas including tectonic plate interactions, crustal deformation in response to loading by tectonics, magmatism, water and ice, and the dynamics of water - and thereby energy transfer - in the atmosphere at regional scale. The many individual scientists and organizations that set up GNSS stations globally are often open to sharing data, but lack the resources or expertise to deploy systems and software to manage and curate data and metadata and provide user tools that would support data sharing. UNAVCO previously gained experience in facilitating data sharing through the NASA-supported development of the Geodesy Seamless Archive Centers (GSAC) open source software. GSAC provides web interfaces and simple web services for data and metadata discovery and access, supports federation of multiple data centers, and simplifies transfer of data and metadata to long-term archives. The NSF supported the dissemination of GSAC to multiple European data centers forming the European Plate Observing System. To expand upon GSAC to provide end-to-end, instrument-to-distribution capability, UNAVCO developed Dataworks for GNSS with NSF funding to the COCONet project, and deployed this software on systems that are now operating as Regional GNSS Data Centers as part of the NSF-funded TLALOCNet and COCONet projects. Dataworks consists of software modules written in Python and Java for data acquisition, management and sharing. There are modules for GNSS receiver control and data download, a database schema for metadata, tools for metadata handling, ingest software to manage file metadata, data file management scripts, GSAC, scripts for mirroring station data and metadata from partner GSACs, and extensive software and operator documentation. UNAVCO plans to provide a cloud VM

  6. PRODUCE MORE OIL AND GAS VIA eBUSINESS DATA SHARING

    SciTech Connect

    Paul Jehn; Mike Stettner

    2004-04-30

    GWPC, DOGGR, and other state agencies propose to build eBusiness applications based on a .NET front-end user interface for the DOE's Energy 100 Award-winning Risk Based Data Management System (RBDMS) data source and XML Web services. This project will slash the costs of regulatory compliance by automating routine regulatory reporting and permit notice review and by making it easier to exchange data with the oil and gas industry--especially small, independent operators. Such operators, who often do not have sophisticated in-house databases, will be able to use a subset of the same RBDMS tools available to the agencies on the desktop to file permit notices and production reports online. Once the data passes automated quality control checks, the application will upload the data into the agency's RBDMS data source. The operators also will have access to state agency datasets to focus exploration efforts and to perform production forecasting, economic evaluations, and risk assessments. With the ability to identify economically feasible oil and gas prospects, including unconventional plays, over the Internet, operators will minimize travel and other costs. Because GWPC will coordinate these data sharing efforts with the Bureau of Land Management (BLM), this project will improve access to public lands and make strides towards reducing the duplicative reporting to which industry is now subject for leases that cross jurisdictions. The resulting regulatory streamlining and improved access to agency data will make more domestic oil and gas available to the American public while continuing to safeguard environmental assets.

  7. Data Sharing Reveals Complexity in the Westward Spread of Domestic Animals across Neolithic Turkey

    PubMed Central

    Arbuckle, Benjamin S.; Kansa, Sarah Whitcher; Kansa, Eric; Orton, David; Çakırlar, Canan; Gourichon, Lionel; Atici, Levent; Galik, Alfred; Marciniak, Arkadiusz; Mulville, Jacqui; Buitenhuis, Hijlke; Carruthers, Denise; De Cupere, Bea; Demirergi, Arzu; Frame, Sheelagh; Helmer, Daniel; Martin, Louise; Peters, Joris; Pöllath, Nadja; Pawłowska, Kamilla; Russell, Nerissa; Twiss, Katheryn; Würtenberger, Doris

    2014-01-01

    This study presents the results of a major data integration project bringing together primary archaeozoological data for over 200,000 faunal specimens excavated from seventeen sites in Turkey spanning the Epipaleolithic through Chalcolithic periods, c. 18,000-4,000 cal BC, in order to document the initial westward spread of domestic livestock across Neolithic central and western Turkey. From these shared datasets we demonstrate that the westward expansion of Neolithic subsistence technologies combined multiple routes and pulses but did not involve a set ‘package’ comprising all four livestock species including sheep, goat, cattle and pig. Instead, Neolithic animal economies in the study regions are shown to be more diverse than deduced previously using quantitatively more limited datasets. Moreover, during the transition to agro-pastoral economies interactions between domestic stock and local wild fauna continued. Through publication of datasets with Open Context (opencontext.org), this project emphasizes the benefits of data sharing and web-based dissemination of large primary data sets for exploring major questions in archaeology (Alternative Language Abstract S1). PMID:24927173

  8. Produce More Oil and Gas via eBusiness Data Sharing

    SciTech Connect

    Paul Jehn; Mike Stettner; Ben Grunewald

    2005-07-22

    GWPC, DOGGR, and other state agencies propose to build eBusiness applications based on a .NET front-end user interface for the DOE's Energy 100 Award-winning Risk Based Data Management System (RBDMS) data source and XML Web services. This project will slash the costs of regulatory compliance by automating routine regulatory reporting and permit notice review and by making it easier to exchange data with the oil and gas industry--especially small, independent operators. Such operators, who often do not have sophisticated in-house databases, will be able to use a subset of the same RBDMS tools available to the agencies on the desktop to file permit notices and production reports online. Once the data passes automated quality control checks, the application will upload the data into the agency's RBDMS data source. The operators also will have access to state agency datasets to focus exploration efforts and to perform production forecasting, economic evaluations, and risk assessments. With the ability to identify economically feasible oil and gas prospects, including unconventional plays, over the Internet, operators will minimize travel and other costs. Because GWPC will coordinate these data sharing efforts with the Bureau of Land Management (BLM), this project will improve access to public lands and make strides towards reducing the duplicative reporting to which industry is now subject for leases that cross jurisdictions. The resulting regulatory streamlining and improved access to agency data will make more domestic oil and gas available to the American public while continuing to safeguard environmental assets.

  9. ShareSync: A Solution for Deterministic Data Sharing over Ethernet

    NASA Technical Reports Server (NTRS)

    Dunn, Daniel J., II; Koons, William A.; Kennedy, Richard D.; Davis, Philip A.

    2007-01-01

    As part of upgrading the Contact Dynamics Simulation Laboratory (CDSL) at the NASA Marshall Space Flight Center (MSFC), a simple, cost effective method was needed to communicate data among the networked simulation machines and I/O controllers used to run the facility. To fill this need and similar applicable situations, a generic protocol was developed, called ShareSync. ShareSync is a lightweight, real-time, publish-subscribe Ethernet protocol for simple and deterministic data sharing across diverse machines and operating systems. ShareSync provides a simple Application Programming Interface (API) for simulation programmers to incorporate into their code. The protocol is compatible with virtually all Ethernet-capable machines, is flexible enough to support a variety of applications, is fast enough to provide soft real-time determinism, and is a low-cost resource for distributed simulation development, deployment, and maintenance. The first design cycle iteration of ShareSync has been completed, and the protocol has undergone several testing procedures including endurance and benchmarking tests and approaches the 2001ts data synchronization design goal for the CDSL.

  10. Data sharing reveals complexity in the westward spread of domestic animals across Neolithic Turkey.

    PubMed

    Arbuckle, Benjamin S; Kansa, Sarah Whitcher; Kansa, Eric; Orton, David; Çakırlar, Canan; Gourichon, Lionel; Atici, Levent; Galik, Alfred; Marciniak, Arkadiusz; Mulville, Jacqui; Buitenhuis, Hijlke; Carruthers, Denise; De Cupere, Bea; Demirergi, Arzu; Frame, Sheelagh; Helmer, Daniel; Martin, Louise; Peters, Joris; Pöllath, Nadja; Pawłowska, Kamilla; Russell, Nerissa; Twiss, Katheryn; Würtenberger, Doris

    2014-01-01

    This study presents the results of a major data integration project bringing together primary archaeozoological data for over 200,000 faunal specimens excavated from seventeen sites in Turkey spanning the Epipaleolithic through Chalcolithic periods, c. 18,000-4,000 cal BC, in order to document the initial westward spread of domestic livestock across Neolithic central and western Turkey. From these shared datasets we demonstrate that the westward expansion of Neolithic subsistence technologies combined multiple routes and pulses but did not involve a set 'package' comprising all four livestock species including sheep, goat, cattle and pig. Instead, Neolithic animal economies in the study regions are shown to be more diverse than deduced previously using quantitatively more limited datasets. Moreover, during the transition to agro-pastoral economies interactions between domestic stock and local wild fauna continued. Through publication of datasets with Open Context (opencontext.org), this project emphasizes the benefits of data sharing and web-based dissemination of large primary data sets for exploring major questions in archaeology (Alternative Language Abstract S1).

  11. Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework

    PubMed Central

    Grigis, Antoine; Goyard, David; Cherbonnier, Robin; Gareau, Thomas; Papadopoulos Orfanos, Dimitri; Chauvat, Nicolas; Di Mascio, Adrien; Schumann, Gunter; Spooren, Will; Murphy, Declan; Frouin, Vincent

    2017-01-01

    In neurosciences or psychiatry, the emergence of large multi-center population imaging studies raises numerous technological challenges. From distributed data collection, across different institutions and countries, to final data publication service, one must handle the massive, heterogeneous, and complex data from genetics, imaging, demographics, or clinical scores. These data must be both efficiently obtained and downloadable. We present a Python solution, based on the CubicWeb open-source semantic framework, aimed at building population imaging study repositories. In addition, we focus on the tools developed around this framework to overcome the challenges associated with data sharing and collaborative requirements. We describe a set of three highly adaptive web services that transform the CubicWeb framework into a (1) multi-center upload platform, (2) collaborative quality assessment platform, and (3) publication platform endowed with massive-download capabilities. Two major European projects, IMAGEN and EU-AIMS, are currently supported by the described framework. We also present a Python package that enables end users to remotely query neuroimaging, genetics, and clinical data from scripts. PMID:28360851

  12. Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive1

    PubMed Central

    Kalpathy-Cramer, Jayashree; Freymann, John Blake; Kirby, Justin Stephen; Kinahan, Paul Eugene; Prior, Fred William

    2014-01-01

    The Quantitative Imaging Network (QIN), supported by the National Cancer Institute, is designed to promote research and development of quantitative imaging methods and candidate biomarkers for the measurement of tumor response in clinical trial settings. An integral aspect of the QIN mission is to facilitate collaborative activities that seek to develop best practices for the analysis of cancer imaging data. The QIN working groups and teams are developing new algorithms for image analysis and novel biomarkers for the assessment of response to therapy. To validate these algorithms and biomarkers and translate them into clinical practice, algorithms need to be compared and evaluated on large and diverse data sets. Analysis competitions, or “challenges,” are being conducted within the QIN as a means to accomplish this goal. The QIN has demonstrated, through its leveraging of The Cancer Imaging Archive (TCIA), that data sharing of clinical images across multiple sites is feasible and that it can enable and support these challenges. In addition to Digital Imaging and Communications in Medicine (DICOM) imaging data, many TCIA collections provide linked clinical, pathology, and “ground truth” data generated by readers that could be used for further challenges. The TCIA-QIN partnership is a successful model that provides resources for multisite sharing of clinical imaging data and the implementation of challenges to support algorithm and biomarker validation. PMID:24772218

  13. Medication Error When Switching from Warfarin to Rivaroxaban Leading to Spontaneous Large Ecchymosis of the Abdominal and Chest Wall

    PubMed Central

    Egger, Flavio; Targa, Federica; Unterholzner, Ivan; Grant, Russell P.; Herrmann, Markus; Wiedermann, Christian J.

    2016-01-01

    Non-vitamin K oral anticoagulant (NOAC) therapy may be inappropriate if prescription was incorrect, the patient’s physiological parameters change, or interacting concomitant medications are erroneously added. The aim of this report was to illustrate inappropriate NOAC prescription in a 78-year-old woman with non-valvular atrial fibrillation and borderline renal dysfunction who was switched from warfarin to rivaroxaban and subsequently developed bruising with hemorrhagic shock and acute on chronic renal failure. Administration of 4-factor prothrombin complex concentrate effectively reversed coagulopathy and stopped bleeding. Retrospective determination of circulating plasma levels of rivaroxaban and warfarin confirmed that excessive anticoagulation was likely due to warfarin that the patient probably continued to take although rivaroxaban was initiated. Pharmacodynamic interaction between rivaroxaban and warfarin may not only be additive but synergistic. In patients at high risk of complications, judicious prescribing and dosing of NOACs, and regular monitoring of concomitant medications and renal function are highly recommended. PMID:27777713

  14. Lessons learned while building the Deepwater Horizon Database: Toward improved data sharing in coastal science

    NASA Astrophysics Data System (ADS)

    Thessen, Anne E.; McGinnis, Sean; North, Elizabeth W.

    2016-02-01

    Process studies and coupled-model validation efforts in geosciences often require integration of multiple data types across time and space. For example, improved prediction of hydrocarbon fate and transport is an important societal need which fundamentally relies upon synthesis of oceanography and hydrocarbon chemistry. Yet, there are no publically accessible databases which integrate these diverse data types in a georeferenced format, nor are there guidelines for developing such a database. The objective of this research was to analyze the process of building one such database to provide baseline information on data sources and data sharing and to document the challenges and solutions that arose during this major undertaking. The resulting Deepwater Horizon Database was approximately 2.4 GB in size and contained over 8 million georeferenced data points collected from industry, government databases, volunteer networks, and individual researchers. The major technical challenges that were overcome were reconciliation of terms, units, and quality flags which were necessary to effectively integrate the disparate data sets. Assembling this database required the development of relationships with individual researchers and data managers which often involved extensive e-mail contacts. The average number of emails exchanged per data set was 7.8. Of the 95 relevant data sets that were discovered, 38 (40%) were obtained, either in whole or in part. Over one third (36%) of the requests for data went unanswered. The majority of responses were received after the first request (64%) and within the first week of the first request (67%). Although fewer than half of the potentially relevant datasets were incorporated into the database, the level of sharing (40%) was high compared to some other disciplines where sharing can be as low as 10%. Our suggestions for building integrated databases include budgeting significant time for e-mail exchanges, being cognizant of the cost versus

  15. A Review of the Use of Script-Based Tracking in CALL Research for Data Sharing: Applications Providing Meaning Aids

    ERIC Educational Resources Information Center

    Hwu, Fenfang

    2013-01-01

    Using script-based tracking to gain insights into the way students learn or process language information can be traced as far back as to the 1980s. Nevertheless, researchers continue to face challenges in collecting and studying this type of data. The objective of this study is to propose data sharing through data repositories as a way to (a) ease…

  16. Open data policy and data sharing in Astroparticle Physics: the case for high-energy multi-messenger astronomy

    NASA Astrophysics Data System (ADS)

    Spiro, M.

    2016-05-01

    This paper is a position paper on open data policy and data sharing in Astroparticle Physics, focusing on the case of high-energy multi-messenger astronomy. It is presented on behalf of ApPIC, Astroparticle Physics International Committee [1], IUPAP (International Union for Pure and Applied Physics) working group 10.

  17. The Climate-G testbed: towards a large scale data sharing environment for climate change

    NASA Astrophysics Data System (ADS)

    Aloisio, G.; Fiore, S.; Denvil, S.; Petitdidier, M.; Fox, P.; Schwichtenberg, H.; Blower, J.; Barbera, R.

    2009-04-01

    data visualization; metadata search/discovery across several countries/institutions; open environment for climate change data sharing.

  18. a Public Platform for Geospatial Data Sharing for Disaster Risk Management

    NASA Astrophysics Data System (ADS)

    Balbo, S.; Boccardo, P.; Dalmasso, S.; Pasquali, P.

    2013-01-01

    Several studies have been conducted in Africa to assist local governments in addressing the risk situation related to natural hazards. Geospatial data containing information on vulnerability, impacts, climate change, disaster risk reduction is usually part of the output of such studies and is valuable to national and international organizations to reduce the risks and mitigate the impacts of disasters. Nevertheless this data isn't efficiently widely distributed and often resides in remote storage solutions hardly reachable. Spatial Data Infrastructures are technical solutions capable to solve this issue, by storing geospatial data and making them widely available through the internet. Among these solutions, GeoNode, an open source online platform for geospatial data sharing, has been developed in recent years. GeoNode is a platform for the management and publication of geospatial data. It brings together mature and stable open-source software projects under a consistent and easy-to-use interface allowing users, with little training, to quickly and easily share data and create interactive maps. GeoNode data management tools allow for integrated creation of data, metadata, and map visualizations. Each dataset in the system can be shared publicly or restricted to allow access to only specific users. Social features like user profiles and commenting and rating systems allow for the development of communities around each platform to facilitate the use, management, and quality control of the data the GeoNode instance contains (http://geonode.org/). This paper presents a case study scenario of setting up a Web platform based on GeoNode. It is a public platform called MASDAP and promoted by the Government of Malawi in order to support development of the country and build resilience against natural disasters. A substantial amount of geospatial data has already been collected about hydrogeological risk, as well as several

  19. Facilitating Oil Industry Access to Federal Lands through Interagency Data Sharing

    SciTech Connect

    Paul Jehn; Ben Grunewald

    2007-05-31

    -commerce. The next step beyond mere data sharing for facilitating the permitting process is to make it possible for industry to file those permit applications electronically. This process will involve the use of common XML schemas.

  20. Catatonia Is not Schizophrenia: Kraepelin's Error and the Need to Recognize Catatonia as an Independent Syndrome in Medical Nomenclature

    PubMed Central

    Fink, Max; Shorter, Edward; Taylor, Michael A.

    2010-01-01

    Catatonia is a motor dysregulation syndrome described by Karl Kahlbaum in 1874. He understood catatonia as a disease of its own. Others quickly recognized it among diverse disorders, but Emil Kraepelin made it a linchpin of his concept of dementia praecox. Eugen Bleuler endorsed this singular association. During the 20th century, catatonia has been considered a type of schizophrenia. In the 1970s, American authors identified catatonia in patients with mania and depression, as a toxic response, and in general medical and neurologic illnesses. It was only occasionally found in patients with schizophrenia. When looked for, catatonia is found in 10% or more of acute psychiatric admissions. It is readily diagnosable, verifiable by a lorazepam challenge test, and rapidly treatable. Even in its most lethal forms, it responds to high doses of lorazepam or to electroconvulsive therapy. These treatments are not accepted for patients with schizophrenia. Prompt recognition and treatment saves lives. It is time to place catatonia into its own home in the psychiatric classification. PMID:19586994

  1. Catatonia is not schizophrenia: Kraepelin's error and the need to recognize catatonia as an independent syndrome in medical nomenclature.

    PubMed

    Fink, Max; Shorter, Edward; Taylor, Michael A

    2010-03-01

    Catatonia is a motor dysregulation syndrome described by Karl Kahlbaum in 1874. He understood catatonia as a disease of its own. Others quickly recognized it among diverse disorders, but Emil Kraepelin made it a linchpin of his concept of dementia praecox. Eugen Bleuler endorsed this singular association. During the 20th century, catatonia has been considered a type of schizophrenia. In the 1970s, American authors identified catatonia in patients with mania and depression, as a toxic response, and in general medical and neurologic illnesses. It was only occasionally found in patients with schizophrenia. When looked for, catatonia is found in 10% or more of acute psychiatric admissions. It is readily diagnosable, verifiable by a lorazepam challenge test, and rapidly treatable. Even in its most lethal forms, it responds to high doses of lorazepam or to electroconvulsive therapy. These treatments are not accepted for patients with schizophrenia. Prompt recognition and treatment saves lives. It is time to place catatonia into its own home in the psychiatric classification.

  2. Why is data sharing in collaborative natural resource efforts so hard and what can we do to improve it?

    PubMed

    Volk, Carol J; Lucero, Yasmin; Barnas, Katie

    2014-05-01

    Increasingly, research and management in natural resource science rely on very large datasets compiled from multiple sources. While it is generally good to have more data, utilizing large, complex datasets has introduced challenges in data sharing, especially for collaborating researchers in disparate locations ("distributed research teams"). We surveyed natural resource scientists about common data-sharing problems. The major issues identified by our survey respondents (n = 118) when providing data were lack of clarity in the data request (including format of data requested). When receiving data, survey respondents reported various insufficiencies in documentation describing the data (e.g., no data collection description/no protocol, data aggregated, or summarized without explanation). Since metadata, or "information about the data," is a central obstacle in efficient data handling, we suggest documenting metadata through data dictionaries, protocols, read-me files, explicit null value documentation, and process metadata as essential to any large-scale research program. We advocate for all researchers, but especially those involved in distributed teams to alleviate these problems with the use of several readily available communication strategies including the use of organizational charts to define roles, data flow diagrams to outline procedures and timelines, and data update cycles to guide data-handling expectations. In particular, we argue that distributed research teams magnify data-sharing challenges making data management training even more crucial for natural resource scientists. If natural resource scientists fail to overcome communication and metadata documentation issues, then negative data-sharing experiences will likely continue to undermine the success of many large-scale collaborative projects.

  3. Why is Data Sharing in Collaborative Natural Resource Efforts so Hard and What can We Do to Improve it?

    NASA Astrophysics Data System (ADS)

    Volk, Carol J.; Lucero, Yasmin; Barnas, Katie

    2014-05-01

    Increasingly, research and management in natural resource science rely on very large datasets compiled from multiple sources. While it is generally good to have more data, utilizing large, complex datasets has introduced challenges in data sharing, especially for collaborating researchers in disparate locations ("distributed research teams"). We surveyed natural resource scientists about common data-sharing problems. The major issues identified by our survey respondents ( n = 118) when providing data were lack of clarity in the data request (including format of data requested). When receiving data, survey respondents reported various insufficiencies in documentation describing the data (e.g., no data collection description/no protocol, data aggregated, or summarized without explanation). Since metadata, or "information about the data," is a central obstacle in efficient data handling, we suggest documenting metadata through data dictionaries, protocols, read-me files, explicit null value documentation, and process metadata as essential to any large-scale research program. We advocate for all researchers, but especially those involved in distributed teams to alleviate these problems with the use of several readily available communication strategies including the use of organizational charts to define roles, data flow diagrams to outline procedures and timelines, and data update cycles to guide data-handling expectations. In particular, we argue that distributed research teams magnify data-sharing challenges making data management training even more crucial for natural resource scientists. If natural resource scientists fail to overcome communication and metadata documentation issues, then negative data-sharing experiences will likely continue to undermine the success of many large-scale collaborative projects.

  4. An intelligent monitoring and management system for cross-enterprise biomedical data sharing platform

    NASA Astrophysics Data System (ADS)

    Wang, Tusheng; Yang, Yuanyuan; Zhang, Jianguo

    2013-03-01

    In order to enable multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative environment, we had designed an e-Science platform for biomedical imaging research and application cross multiple academic institutions and hospitals in Shanghai by using grid-based or cloud-based distributed architecture and presented this work in SPIE Medical Imaging conference held in San Diego in 2012. However, when the platform integrates more and more nodes over different networks, the first challenge is that how to monitor and maintain all the hosts and services operating cross multiple academic institutions and hospitals in the e-Science platform, such as DICOM and Web based image communication services, messaging services and XDS ITI transaction services. In this presentation, we presented a system design and implementation of intelligent monitoring and management which can collect system resource status of every node in real time, alert when node or service failure occurs, and can finally improve the robustness, reliability and service continuity of this e-Science platform.

  5. [The digital information platform after-sale service of medical equipment].

    PubMed

    Cao, Shaoping; Li, Bin

    2015-01-01

    This paper describes the after-sale service of medical equipment information management platform, with large data sharing resources to further enhance customer service in the whole management process of medical service, to strengthen quality management, to control medical risk.

  6. Standardization proposal of soft tissue artefact description for data sharing in human motion measurements.

    PubMed

    Cereatti, Andrea; Bonci, Tecla; Akbarshahi, Massoud; Aminian, Kamiar; Barré, Arnaud; Begon, Mickael; Benoit, Daniel L; Charbonnier, Caecilia; Dal Maso, Fabien; Fantozzi, Silvia; Lin, Cheng-Chung; Lu, Tung-Wu; Pandy, Marcus G; Stagni, Rita; van den Bogert, Antonie J; Camomilla, Valentina

    2017-02-21

    Soft tissue artefact (STA) represents one of the main obstacles for obtaining accurate and reliable skeletal kinematics from motion capture. Many studies have addressed this issue, yet there is no consensus on the best available bone pose estimator and the expected errors associated with relevant results. Furthermore, results obtained by different authors are difficult to compare due to the high variability and specificity of the phenomenon and the different metrics used to represent these data. Therefore, the aim of this study was twofold: firstly, to propose standards for description of STA; and secondly, to provide illustrative STA data samples for body segments in the upper and lower extremities and for a range of motor tasks specifically, level walking, stair ascent, sit-to-stand, hip- and knee-joint functional movements, cutting motion, running, hopping, arm elevation and functional upper-limb movements. The STA dataset includes motion of the skin markers measured in vivo and ex vivo using stereophotogrammetry as well as motion of the underlying bones measured using invasive or bio-imaging techniques (i.e., X-ray fluoroscopy or MRI). The data are accompanied by a detailed description of the methods used for their acquisition, with information given about their quality as well as characterization of the STA using the proposed standards. The availability of open-access and standard-format STA data will be useful for the evaluation and development of bone pose estimators thus contributing to the advancement of three-dimensional human movement analysis and its translation into the clinical practice and other applications.

  7. Metadata Repository for Improved Data Sharing and Reuse Based on HL7 FHIR.

    PubMed

    Ulrich, Hannes; Kock, Ann-Kristin; Duhm-Harbeck, Petra; Habermann, Jens K; Ingenerf, Josef

    2016-01-01

    Unreconciled data structures and formats are a common obstacle to the urgently required sharing and reuse of data within healthcare and medical research. Within the North German Tumor Bank of Colorectal Cancer, clinical and sample data, based on a harmonized data set, is collected and can be pooled by using a hospital-integrated Research Data Management System supporting biobank and study management. Adding further partners who are not using the core data set requires manual adaptations and mapping of data elements. Facing this manual intervention and focusing the reuse of heterogeneous healthcare instance data (value level) and data elements (metadata level), a metadata repository has been developed. The metadata repository is an ISO 11179-3 conformant server application built for annotating and mediating data elements. The implemented architecture includes the translation of metadata information about data elements into the FHIR standard using the FHIR Data Element resource with the ISO 11179 Data Element Extensions. The FHIR-based processing allows exchange of data elements with clinical and research IT systems as well as with other metadata systems. With increasingly annotated and harmonized data elements, data quality and integration can be improved for successfully enabling data analytics and decision support.

  8. Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson's Disease.

    PubMed

    Stephenson, Diane; Hu, Michele T; Romero, Klaus; Breen, Kieran; Burn, David; Ben-Shlomo, Yoav; Bhattaram, Atul; Isaac, Maria; Venuto, Charles; Kubota, Ken; Little, Max A; Friend, Stephen; Lovestone, Simon; Morris, Huw R; Grosset, Donald; Sutherland, Margaret; Gallacher, John; Williams-Gray, Caroline; Bain, Lisa J; Avilés, Enrique; Marek, Ken; Toga, Arthur W; Stark, Yafit; Forrest Gordon, Mark; Ford, Steve

    2015-01-01

    Parkinson's disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson's UK and co-organized by Critical Path Institute's (C-Path) Coalition Against Major Diseases (CAMD) Consortiums, investigators from industry, academia, government and regulatory agencies agreed on the need for sharing of data to enable future success. Government agencies included EMA, FDA, NINDS/NIH and IMI (Innovative Medicines Initiative). Emerging discoveries in new biomarkers and genetic endophenotypes are contributing to our understanding of the underlying pathophysiology of PD. In parallel there is growing recognition that early intervention will be key for successful treatments aimed at disease modification. At present, there is a lack of a comprehensive understanding of disease progression and the many factors that contribute to disease progression heterogeneity. Novel therapeutic targets and trial designs that incorporate existing and new biomarkers to evaluate drug effects independently and in combination are required. The integration of robust clinical data sets is viewed as a powerful approach to hasten medical discovery and therapies, as is being realized across diverse disease conditions employing big data analytics for healthcare. The application of lessons learned from parallel efforts is critical to identify barriers and enable a viable path forward. A roadmap is presented for a regulatory, academic, industry and advocacy driven integrated initiative that aims to facilitate and streamline new drug trials and registrations in Parkinson's disease.

  9. A systematic literature review of individuals' perspectives on broad consent and data sharing in the United States

    PubMed Central

    Garrison, Nanibaa' A.; Sathe, Nila A.; Antommaria, Armand H. Matheny; Holm, Ingrid A.; Sanderson, Saskia C.; Smith, Maureen E.; McPheeters, Melissa L.; Clayton, Ellen W.

    2016-01-01

    Purpose: In 2011, an Advanced Notice of Proposed Rulemaking proposed that de-identified human data and specimens be included in biobanks only if patients provide consent. The National Institutes of Health Genomic Data Sharing policy went into effect in 2015, requiring broad consent from almost all research participants. Genet Med 18 7, 663–671. Methods: We conducted a systematic literature review of attitudes toward biobanking, broad consent, and data sharing. Bibliographic databases included MEDLINE, Web of Science, EthxWeb, and GenETHX. Study screening was conducted using DistillerSR. Genet Med 18 7, 663–671. Results: The final 48 studies included surveys (n = 23), focus groups (n = 8), mixed methods (n = 14), interviews (n = 1), and consent form analyses (n = 2). Study quality was characterized as good (n = 19), fair (n = 27), and poor (n = 2). Although many participants objected, broad consent was often preferred over tiered or study-specific consent, particularly when broad consent was the only option, samples were de-identified, logistics of biobanks were communicated, and privacy was addressed. Willingness for data to be shared was high, but it was lower among individuals from under-represented minorities, individuals with privacy and confidentiality concerns, and when pharmaceutical companies had access to data. Genet Med 18 7, 663–671. Conclusions: Additional research is needed to understand factors affecting willingness to give broad consent for biobank research and data sharing in order to address concerns to enhance acceptability. Genet Med 18 7, 663–671. PMID:26583683

  10. ISMP Medication Error Report Analysis: Aggrastat-Argatroban Mix-ups Don't Expect Radiofrequency Identification Stock Systems To Be Perfect Paralyzed by Mistakes: Reassess the Safety of Neuromuscular Blockers in Your Facility.

    PubMed

    Cohen, Michael R; Smetzer, Judy L

    2016-12-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  11. ISMP Medication Error Report Analysis: Reporting and Second-Order Problem Solving Can Turn Short-Term Fixes Into Long-Term Remedies Fifty Hospital Employees Given Insulin Instead of Influenza Vaccine Reminder: Eliminating Ratio Expressions Strength Confusion.

    PubMed

    Cohen, Michael R; Smetzer, Judy L

    2016-11-01

    These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural-safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were receivedthrough the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.

  12. ALTIMETER ERRORS,

    DTIC Science & Technology

    CIVIL AVIATION, *ALTIMETERS, FLIGHT INSTRUMENTS, RELIABILITY, ERRORS , PERFORMANCE(ENGINEERING), BAROMETERS, BAROMETRIC PRESSURE, ATMOSPHERIC TEMPERATURE, ALTITUDE, CORRECTIONS, AVIATION SAFETY, USSR.

  13. tranSMART: An Open Source and Community-Driven Informatics and Data Sharing Platform for Clinical and Translational Research.

    PubMed

    Athey, Brian D; Braxenthaler, Michael; Haas, Magali; Guo, Yike

    2013-01-01

    tranSMART is an emerging global open source public private partnership community developing a comprehensive informatics-based analysis and data-sharing cloud platform for clinical and translational research. The tranSMART consortium includes pharmaceutical and other companies, not-for-profits, academic entities, patient advocacy groups, and government stakeholders. The tranSMART value proposition relies on the concept that the global community of users, developers, and stakeholders are the best source of innovation for applications and for useful data. Continued development and use of the tranSMART platform will create a means to enable "pre-competitive" data sharing broadly, saving money and, potentially accelerating research translation to cures. Significant transformative effects of tranSMART includes 1) allowing for all its user community to benefit from experts globally, 2) capturing the best of innovation in analytic tools, 3) a growing 'big data' resource, 4) convergent standards, and 5) new informatics-enabled translational science in the pharma, academic, and not-for-profit sectors.

  14. Improving HIV Surveillance Data for Public Health Action in Washington, DC: A Novel Multiorganizational Data-Sharing Method

    PubMed Central

    Smart, JC

    2016-01-01

    Background The National HIV/AIDS Strategy calls for active surveillance programs for human immunodeficiency virus (HIV) to more accurately measure access to and retention in care across the HIV care continuum for persons living with HIV within their jurisdictions and to identify persons who may need public health services. However, traditional public health surveillance methods face substantial technological and privacy-related barriers to data sharing. Objective This study developed a novel data-sharing approach to improve the timeliness and quality of HIV surveillance data in three jurisdictions where persons may often travel across the borders of the District of Columbia, Maryland, and Virginia. Methods A deterministic algorithm of approximately 1000 lines was developed, including a person-matching system with Enhanced HIV/AIDS Reporting System (eHARS) variables. Person matching was defined in categories (from strongest to weakest): exact, very high, high, medium high, medium, medium low, low, and very low. The algorithm was verified using conventional component testing methods, manual code inspection, and comprehensive output file examination. Results were validated by jurisdictions using internal review processes. Results Of 161,343 uploaded eHARS records from District of Columbia (N=49,326), Maryland (N=66,200), and Virginia (N=45,817), a total of 21,472 persons were matched across jurisdictions over various strengths in a matching process totaling 21 minutes and 58 seconds in the privacy device, leaving 139,871 uniquely identified with only one jurisdiction. No records matched as medium low or low. Over 80% of the matches were identified as either exact or very high matches. Three separate validation methods were conducted for this study, and they all found ≥90% accuracy between records matched by this novel method and traditional matching methods. Conclusions This study illustrated a novel data-sharing approach that may facilitate timelier and better

  15. Sharing Public Health Research Data: Toward the Development of Ethical Data-Sharing Practice in Low- and Middle-Income Settings.

    PubMed

    Parker, Michael; Bull, Susan

    2015-07-01

    It is increasingly recognized that effective and appropriate data sharing requires the development of models of good data-sharing practice capable of taking seriously both the potential benefits to be gained and the importance of ensuring that the rights and interests of participants are respected and that risk of harms is minimized. Calls for the greater sharing of individual-level data from biomedical and public health research are receiving support among researchers and research funders. Despite its potential importance, data sharing presents important ethical, social, and institutional challenges in low-income settings. In this article, we report on qualitative research conducted in five low- and middle-income countries exploring the experiences of key research stakeholders and their views about what constitutes good data-sharing practice.

  16. Developing Ethical Practices for Public Health Research Data Sharing in South Africa: The Views and Experiences From a Diverse Sample of Research Stakeholders.

    PubMed

    Denny, Spencer G; Silaigwana, Blessing; Wassenaar, Douglas; Bull, Susan; Parker, Michael

    2015-07-01

    The abundance of South African clinical and public health research data has the potential to unlock important and valuable future advances in biomedical science. Amid increasing calls for more effective sharing of individual-level data, commitment to promote access to research data is evident within South Africa's public research sector, but national guidance and regulation are absent. This qualitative study examined the perceptions, experiences and concerns of 32 research stakeholders about data-sharing practices. There was consensus about the utility of data sharing in publicly funded health research. However, disparate views emerged about the possible harms and benefits of sharing data and how these should be weighed. The relative dearth of policies governing data-sharing practices needs to be addressed and a framework of support developed that incentivizes data-sharing practices for researchers that are both ethical and effective.

  17. Data sharing in stem cell translational science: policy statement by the International Stem Cell Forum Ethics Working Party.

    PubMed

    Bredenoord, Annelien L; Mostert, Menno; Isasi, Rosario; Knoppers, Bartha M

    2015-01-01

    Data and sample sharing constitute a scientific and ethical imperative but need to be conducted in a responsible manner in order to protect individual interests as well as maintain public trust. In 2014, the Global Alliance for Genomics and Health (GA4GH) adopted a common Framework for Responsible Sharing of Genomic and Health-Related Data. The GA4GH Framework is applicable to data sharing in the stem cell field, however, interpretation is required so as to provide guidance for this specific context. In this paper, the International Stem Cell Forum Ethics Working Party discusses those principles that are specific to translational stem cell science, including engagement, data quality and safety, privacy, security and confidentiality, risk-benefit analysis and sustainability.

  18. National Geothermal Data System: Case Studies on Exploration and Development of Potential Geothermal Sites Through Distributed Data Sharing

    SciTech Connect

    Anderson, Arlene; Allison, Lee; Richard, Steve; Caudill-Daugherty, Christy; Patten, Kim

    2014-09-29

    The NGDS released version 1 of the system on April 30, 2014 using the US Geoscience Information Network (USGIN) as its data integration platform. NGDS supports the 2013 Open Data Policy, and as such, the launch was featured at the 2014 Energy Datapalooza. Currently, the NGDS features a comprehensive user interface for searching and accessing nearly 41,000 documents and more than 9 million data points shared by scores of data providers across the U.S. The NGDS supports distributed data sharing, permitting the data owners to maintain the raw data that is made available to the consumer. Researchers and industry have been utilizing the NGDS as a mechanism for promoting geothermal development across the country, from hydrothermal to ground source heat pump applications. Case studies in geothermal research and exploration from across the country are highlighted.

  19. Data sharing and intellectual property in a genomic epidemiology network: policies for large-scale research collaboration.

    PubMed Central

    Chokshi, Dave A.; Parker, Michael; Kwiatkowski, Dominic P.

    2006-01-01

    Genomic epidemiology is a field of research that seeks to improve the prevention and management of common diseases through an understanding of their molecular origins. It involves studying thousands of individuals, often from different populations, with exacting techniques. The scale and complexity of such research has required the formation of research consortia. Members of these consortia need to agree on policies for managing shared resources and handling genetic data. Here we consider data-sharing and intellectual property policies for an international research consortium working on the genomic epidemiology of malaria. We outline specific guidelines governing how samples and data are transferred among its members; how results are released into the public domain; when to seek protection for intellectual property; and how intellectual property should be managed. We outline some pragmatic solutions founded on the basic principles of promoting innovation and access. PMID:16710548

  20. Error Analysis

    NASA Astrophysics Data System (ADS)

    Scherer, Philipp O. J.

    Input data as well as the results of elementary operations have to be represented by machine numbers, the subset of real numbers which is used by the arithmetic unit of today's computers. Generally this generates rounding errors. This kind of numerical error can be avoided in principle by using arbitrary precision arithmetics or symbolic algebra programs. But this is unpractical in many cases due to the increase in computing time and memory requirements. Results from more complex operations like square roots or trigonometric functions can have even larger errors since series expansions have to be truncated and iterations accumulate the errors of the individual steps. In addition, the precision of input data from an experiment is limited. In this chapter we study the influence of numerical errors on the uncertainties of the calculated results and the stability of simple algorithms.

  1. Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core).

    PubMed

    Merino-Martinez, Roxana; Norlin, Loreana; van Enckevort, David; Anton, Gabriele; Schuffenhauer, Simone; Silander, Kaisa; Mook, Linda; Holub, Petr; Bild, Raffael; Swertz, Morris; Litton, Jan-Eric

    2016-08-01

    Biobanks are the biological back end of data-driven medicine, but lack standards and generic solutions for interoperability and information harmonization. The move toward a global information infrastructure for biobanking demands semantic interoperability through harmonized services and common ontologies. To tackle this issue, the Minimum Information About BIobank data Sharing (MIABIS) was developed in 2012 by the Biobanking and BioMolecular Resources Research Infrastructure of Sweden (BBMRI.se). The wide acceptance of the first version of MIABIS encouraged evolving it to a more structured and descriptive standard. In 2013 a working group was formed under the largest infrastructure for health in Europe, Biobanking and BioMolecular Resources Research Infrastructure (BBMRI-ERIC), with the remit to continue the development of MIABIS (version 2.0) through a multicountry governance process. MIABIS 2.0 Core has been developed with 22 attributes describing Biobanks, Sample Collections, and Studies according to a modular structure that makes it easier to adhere to and to extend the standard. This integration standard will make a great contribution to the discovery and exploitation of biobank resources and lead to a wider and more efficient use of valuable bioresources, thereby speeding up the research on human diseases. Many within the European Union have accepted MIABIS 2.0 Core as the "de facto" biobank information standard.

  2. If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology.

    PubMed

    Wallis, Jillian C; Rolando, Elizabeth; Borgman, Christine L

    2013-01-01

    Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.

  3. The Benefits and Challenges of Having AN Open and Free Basis Satellite Data Sharing Platform in Turkey: GEZGİN

    NASA Astrophysics Data System (ADS)

    Seda Deveci, Hüsne; Koru, Aziz; Sakarya, Ufuk; Tevrizoğlu, İsmail; Teke, Mustafa; Küpçü, Ramazan; Avenoğlu, Bülent; Demirkesen, Can; Zübeyde Gürbüz, Sevgi; Feray Öztoprak, A.; Açıkgöz, İbrahim Serdar; Hakkı Demirhan, İsmail; Ömer Kozal, Ali; Efendioğlu, Mehmet; Berke, Erdinç; Fehmi Şimşek, F.; Atıl, İlkay; Kaya, Derya; Uçmak, Pınar; Ersöz, Eda; Özen, Hilal

    2016-06-01

    Turkey is a county that experiences rapid socioeconomic development, which, in turn, leads to high urbanization rates due to migration of people from rural to urban areas, many large-scale development projects (e.g. highways, dams, housing and infrastructure), and environmental problems that adversely affect agriculture, such as soil erosion and deforestation. Furthermore, Turkey lies in a region prone to natural disasters, especially earthquakes, landslides, flooding and forest fires. Successfully overcoming these challenges requires continuous monitoring to enable rapid response as well as the development of effective socioeconomic policies. In this regard, space-based earth observation (EO) systems play a critical role in the rapid acquisiton and extraction of crucial information. The first launch of the first Turkish-designed satellite, RASAT, in 2011 led to the wide-spread exploitation of space-based resources by Turkish institutions through the dissemination of EO data on an open and free basis via the GEZGIN internet portal (http://www.gezgin.gov.tr). The push for data sharing was further instigated by the nationally funded project GEOPORTAL ("Satellite Image Processing and Geoportal Development Project") and European Union FP7 project EOPOWER ("Earth Observation for Economic Empowerment"), which strove to create conditions for sustainable economic development through the increased use of Earth observation products and services for environmental applications. In this work, the technical challenges involving processing and preparing raw satellite data for dissemination as well as software design of the GEZGIN Portal will be presented.

  4. If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology

    PubMed Central

    Wallis, Jillian C.; Rolando, Elizabeth; Borgman, Christine L.

    2013-01-01

    Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities. PMID:23935830

  5. The concordance between nonclinical and phase I clinical cardiovascular assessment from a cross-company data sharing initiative.

    PubMed

    Ewart, Lorna; Aylott, Mike; Deurinck, Mark; Engwall, Mike; Gallacher, David J; Geys, Helena; Jarvis, Philip; Ju, Haisong; Leishman, Derek; Leong, Louise; McMahon, Nick; Mead, Andy; Milliken, Phil; Suter, Willi; Teisman, Ard; Van Ammel, Karel; Vargas, Hugo M; Wallis, Rob; Valentin, Jean-Pierre

    2014-12-01

    It is widely accepted that more needs to be done to bring new, safe, and efficacious drugs to the market. Cardiovascular toxicity detected both in early drug discovery as well as in the clinic, is a major contributor to the high failure rate of new molecules. The growth of translational safety offers a promising approach to improve the probability of success for new molecules. Here we describe a cross-company initiative to determine the concordance between the conscious telemetered dog and phase I outcome for 3 cardiovascular parameters. The data indicate that, in the context of the methods applied in this analysis, the ability to detect compounds that affect the corrected QT interval (QTc) was good within the 10-30x exposure range but the predictive or detective value for heart rate and diastolic blood pressure was poor. These findings may highlight opportunities to refine both the animal and the clinical study designs, as well as refocusing the assessment of value of dog cardiovascular assessments beyond phase 1. This investigation has also highlighted key considerations for cross-company data sharing and presents a unique learning opportunity to improve future translational projects.

  6. The surveillance error grid.

    PubMed

    Klonoff, David C; Lias, Courtney; Vigersky, Robert; Clarke, William; Parkes, Joan Lee; Sacks, David B; Kirkman, M Sue; Kovatchev, Boris

    2014-07-01

    Currently used error grids for assessing clinical accuracy of blood glucose monitors are based on out-of-date medical practices. Error grids have not been widely embraced by regulatory agencies for clearance of monitors, but this type of tool could be useful for surveillance of the performance of cleared products. Diabetes Technology Society together with representatives from the Food and Drug Administration, the American Diabetes Association, the Endocrine Society, and the Association for the Advancement of Medical Instrumentation, and representatives of academia, industry, and government, have developed a new error grid, called the surveillance error grid (SEG) as a tool to assess the degree of clinical risk from inaccurate blood glucose (BG) monitors. A total of 206 diabetes clinicians were surveyed about the clinical risk of errors of measured BG levels by a monitor. The impact of such errors on 4 patient scenarios was surveyed. Each monitor/reference data pair was scored and color-coded on a graph per its average risk rating. Using modeled data representative of the accuracy of contemporary meters, the relationships between clinical risk and monitor error were calculated for the Clarke error grid (CEG), Parkes error grid (PEG), and SEG. SEG action boundaries were consistent across scenarios, regardless of whether the patient was type 1 or type 2 or using insulin or not. No significant differences were noted between responses of adult/pediatric or 4 types of clinicians. Although small specific differences in risk boundaries between US and non-US clinicians were noted, the panel felt they did not justify separate grids for these 2 types of clinicians. The data points of the SEG were classified in 15 zones according to their assigned level of risk, which allowed for comparisons with the classic CEG and PEG. Modeled glucose monitor data with realistic self-monitoring of blood glucose errors derived from meter testing experiments plotted on the SEG when compared to

  7. Medication safety during your hospital stay

    MedlinePlus

    Five-rights - medication; Medication administration - hospital; Medical errors - medication; Patient safety - medication safety ... Medication safety means you get the right medicine, the right dose, at the right times. During your ...

  8. Nanoinformatics workshop report: Current resources, community needs, and the proposal of a collaborative framework for data sharing and information integration.

    PubMed

    Harper, Stacey L; Hutchison, James E; Baker, Nathan; Ostraat, Michele; Tinkle, Sally; Steevens, Jeffrey; Hoover, Mark D; Adamick, Jessica; Rajan, Krishna; Gaheen, Sharon; Cohen, Yoram; Nel, Andre; Cachau, Raul E; Tuominen, Mark

    2013-01-01

    The quantity of information on nanomaterial properties and behavior continues to grow rapidly. Without a concerted effort to collect, organize and mine disparate information coming out of current research efforts, the value and effective use of this information will be limited at best. Data will not be translated to knowledge. At worst, erroneous conclusions will be drawn and future research may be misdirected. Nanoinformatics can be a powerful approach to enhance the value of global information in nanoscience and nanotechnology. Much progress has been made through grassroots efforts in nanoinformatics resulting in a multitude of resources and tools for nanoscience researchers. In 2012, the nanoinformatics community believed it was important to critically evaluate and refine currently available nanoinformatics approaches in order to best inform the science and support the future of predictive nanotechnology. The Greener Nano 2012: Nanoinformatics Tools and Resources Workshop brought together informatics groups with materials scientists active in nanoscience research to evaluate and reflect on the tools and resources that have recently emerged in support of predictive nanotechnology. The workshop goals were to establish a better understanding of current nanoinformatics approaches and to clearly define immediate and projected informatics infrastructure needs of the nanotechnology community. The theme of nanotechnology environmental health and safety (nanoEHS) was used to provide real-world, concrete examples on how informatics can be utilized to advance our knowledge and guide nanoscience. The benefit here is that the same properties that impact the performance of products could also be the properties that inform EHS. From a decision management standpoint, the dual use of such data should be considered a priority. Key outcomes include a proposed collaborative framework for data collection, data sharing and information integration.

  9. The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.

    PubMed

    Cases, Montserrat; Briggs, Katharine; Steger-Hartmann, Thomas; Pognan, François; Marc, Philippe; Kleinöder, Thomas; Schwab, Christof H; Pastor, Manuel; Wichard, Jörg; Sanz, Ferran

    2014-11-14

    The high-quality in vivo preclinical safety data produced by the pharmaceutical industry during drug development, which follows numerous strict guidelines, are mostly not available in the public domain. These safety data are sometimes published as a condensed summary for the few compounds that reach the market, but the majority of studies are never made public and are often difficult to access in an automated way, even sometimes within the owning company itself. It is evident from many academic and industrial examples, that useful data mining and model development requires large and representative data sets and careful curation of the collected data. In 2010, under the auspices of the Innovative Medicines Initiative, the eTOX project started with the objective of extracting and sharing preclinical study data from paper or pdf archives of toxicology departments of the 13 participating pharmaceutical companies and using such data for establishing a detailed, well-curated database, which could then serve as source for read-across approaches (early assessment of the potential toxicity of a drug candidate by comparison of similar structure and/or effects) and training of predictive models. The paper describes the efforts undertaken to allow effective data sharing intellectual property (IP) protection and set up of adequate controlled vocabularies) and to establish the database (currently with over 4000 studies contributed by the pharma companies corresponding to more than 1400 compounds). In addition, the status of predictive models building and some specific features of the eTOX predictive system (eTOXsys) are presented as decision support knowledge-based tools for drug development process at an early stage.

  10. Using GIS servers and interactive maps in spectral data sharing and administration: Case study of Ahvaz Spectral Geodatabase Platform (ASGP)

    NASA Astrophysics Data System (ADS)

    Karami, Mojtaba; Rangzan, Kazem; Saberi, Azim

    2013-10-01

    With emergence of air-borne and space-borne hyperspectral sensors, spectroscopic measurements are gaining more importance in remote sensing. Therefore, the number of available spectral reference data is constantly increasing. This rapid increase often exhibits a poor data management, which leads to ultimate isolation of data on disk storages. Spectral data without precise description of the target, methods, environment, and sampling geometry cannot be used by other researchers. Moreover, existing spectral data (in case it accompanied with good documentation) become virtually invisible or unreachable for researchers. Providing documentation and a data-sharing framework for spectral data, in which researchers are able to search for or share spectral data and documentation, would definitely improve the data lifetime. Relational Database Management Systems (RDBMS) are main candidates for spectral data management and their efficiency is proven by many studies and applications to date. In this study, a new approach to spectral data administration is presented based on spatial identity of spectral samples. This method benefits from scalability and performance of RDBMS for storage of spectral data, but uses GIS servers to provide users with interactive maps as an interface to the system. The spectral files, photographs and descriptive data are considered as belongings of a geospatial object. A spectral processing unit is responsible for evaluation of metadata quality and performing routine spectral processing tasks for newly-added data. As a result, by using internet browser software the users would be able to visually examine availability of data and/or search for data based on descriptive attributes associated to it. The proposed system is scalable and besides giving the users good sense of what data are available in the database, it facilitates participation of spectral reference data in producing geoinformation.

  11. Data sharing through an NIH central database repository: a cross-sectional survey of BioLINCC users

    PubMed Central

    Ross, Joseph S; Ritchie, Jessica D; Finn, Emily; Desai, Nihar R; Lehman, Richard L; Krumholz, Harlan M; Gross, Cary P

    2016-01-01

    Objective To characterise experiences using clinical research data shared through the National Institutes of Health (NIH)'s Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) clinical research data repository, along with data recipients’ perceptions of the value, importance and challenges with using BioLINCC data. Design and setting Cross-sectional web-based survey. Participants All investigators who requested and received access to clinical research data from BioLINCC between 2007 and 2014. Main outcome measures Reasons for BioLINCC data request, research project plans, interactions with original study investigators, BioLINCC experience and other project details. Results There were 536 investigators who requested and received access to clinical research data from BioLINCC between 2007 and 2014. Of 441 potential respondents, 195 completed the survey (response rate=44%); 89% (n=174) requested data for an independent study, 17% (n=33) for pilot/preliminary analysis. Commonly cited reasons for requesting data through BioLINCC were feasibility of collecting data of similar size and scope (n=122) and insufficient financial resources for primary data collection (n=76). For 95% of respondents (n=186), a primary research objective was to complete new research, as opposed to replicate prior analyses. Prior to requesting data from BioLINCC, 18% (n=36) of respondents had contacted the original study investigators to obtain data, whereas 24% (n=47) had done so to request collaboration. Nearly all (n=176; 90%) respondents found the data to be suitable for their proposed project; among those who found the data unsuitable (n=19; 10%), cited reasons were data too complicated to use (n=5) and data poorly organised (n=5). Half (n=98) of respondents had completed their proposed projects, of which 67% (n=66) have been published. Conclusions Investigators were primarily using clinical research data from BioLINCC for independent research, making use of

  12. Nanoinformatics workshop report: current resources, community needs and the proposal of a collaborative framework for data sharing and information integration

    NASA Astrophysics Data System (ADS)

    Harper, Stacey L.; Hutchison, James E.; Baker, Nathan; Ostraat, Michele; Tinkle, Sally; Steevens, Jeffrey; Hoover, Mark D.; Adamick, Jessica; Rajan, Krishna; Gaheen, Sharon; Cohen, Yoram; Nel, Andre; Cachau, Raul E.; Tuominen, Mark

    2013-01-01

    The quantity of information on nanomaterial properties and behavior continues to grow rapidly. Without a concerted effort to collect, organize and mine disparate information coming out of current research efforts, the value and effective use of this information will be limited at best. Data will not be translated to knowledge. At worst, erroneous conclusions will be drawn and future research may be misdirected. Nanoinformatics can be a powerful approach to enhance the value of global information in nanoscience and nanotechnology. Much progress has been made through grassroots efforts in nanoinformatics resulting in a multitude of resources and tools for nanoscience researchers. In 2012, the nanoinformatics community believed it was important to critically evaluate and refine currently available nanoinformatics approaches in order to best inform the science and support the future of predictive nanotechnology. The Greener Nano 2012: Nanoinformatics Tools and Resources Workshop brought together informatics groups with materials scientists active in nanoscience research to evaluate and reflect on the tools and resources that have recently emerged in support of predictive nanotechnology. The workshop goals were to establish a better understanding of current nanoinformatics approaches and to clearly define immediate and projected informatics infrastructure needs of the nanotechnology community. The theme of nanotechnology environmental health and safety (nanoEHS) was used to provide real-world, concrete examples on how informatics can be utilized to advance our knowledge and guide nanoscience. The benefit here is that the same properties that impact the performance of products could also be the properties that inform EHS. From a decision management standpoint, the dual use of such data should be considered a priority. Key outcomes include a proposed collaborative framework for data collection, data sharing and information integration.

  13. Climate Change Research. Agencies Have Data-Sharing Policies but Could Do More to Enhance the Availability of Data from Federally Funded Research

    DTIC Science & Technology

    2007-09-01

    Data Management for Global Change Research Policy Statements 39 Background 39 Applicability 40 Guidelines and Their Application 40 Suggested Data...the Data Management for Global Change Research Policy Statements, an interagency policy under the Climate Change Science Program (CCSP), provides...Program Source: GAO analysis of survey responses. Note: The CCSP data-sharing policy, Data Management for Global Change Research Policy Statements

  14. Medication safety.

    PubMed

    Keohane, Carol A; Bates, David W

    2008-03-01

    Patient safety is a state of mind, not a technology. The technologies used in the medical setting represent tools that must be properly designed, used well, and assessed on an on-going basis. Moreover, in all settings, building a culture of safety is pivotal for improving safety, and many nontechnologic approaches, such as medication reconciliation and teaching patients about their medications, are also essential. This article addresses the topic of medication safety and examines specific strategies being used to decrease the incidence of medication errors across various clinical settings.

  15. The International Data Sharing Challenge: Realities and Lessons Learned from International Field Projects and Data Analysis Efforts

    NASA Astrophysics Data System (ADS)

    Williams, S. F.; Moore, J. A.

    2014-12-01

    data sharing and open data. This will be done through the framework of the projects noted above in an environment of proprietary data claims, multiple formats and data collection procedures, stockpiling of data, international data restrictions and mistrust of other scientists.

  16. Review article: Emergency department data sharing to reduce alcohol-related violence: a systematic review of the feasibility and effectiveness of community-level interventions.

    PubMed

    Droste, Nicolas; Miller, Peter; Baker, Tim

    2014-08-01

    The present paper aims to review current evidence for the effectiveness and/or feasibility of using inter-agency data sharing of ED recorded assault information to direct interventions reducing alcohol-related or nightlife assaults, injury or violence. Potential data-sharing partners involve police, local council, liquor licensing regulators and venue management. A systematic review of the peer-reviewed literature was conducted. The initial search discovered 19,506 articles. After removal of duplicates and articles not meeting review criteria, n = 8 articles were included in quantitative and narrative synthesis. Seven of eight studies were conducted in UK EDs, with the remaining study presenting Australian data. All studies included in the review deemed data sharing a worthwhile pursuit. All studies attempting to measure intervention effectiveness reported substantial reductions of assaults and ED attendances post-intervention, with one reporting no change. Negative logistic feasibility concerns were minimal, with general consensus among authors being that data-sharing protocols and partnerships could be easily implemented into modern ED triage systems, with minimal cost, staff workload burden, impact to patient safety, service and anonymity, or risk of harm displacement to other licensed venues, or increase to length of patient stay. However, one study reported a potential harm displacement effect to streets surrounding intervention venues. In future, data-sharing systems should triangulate ED, police and ambulance data sources, and assess intervention effectiveness using randomised controlled trials that account for variations in venue capacity, fluctuations in ED attendance and population levels, seasonal variations in assault and injury, and control for concurrent interventions.

  17. Is Medical Student Writing Wrong?

    ERIC Educational Resources Information Center

    Frisof, Kenneth B.; Moseley, James L.

    The prevalence of writing errors made by third-year medical students from the class of 1981 at a large midwestern medical school was studied. The papers of 253 students taking family medicine were evaluated for spelling, grammar, and punctuation errors. Four types of grammar errors and seven punctuation errors were analyzed, and each word…

  18. Research Stakeholders’ Views on Benefits and Challenges for Public Health Research Data Sharing in Kenya: The Importance of Trust and Social Relations

    PubMed Central

    Jao, Irene; Kombe, Francis; Mwalukore, Salim; Bull, Susan; Parker, Michael; Kamuya, Dorcas; Molyneux, Sassy; Marsh, Vicki

    2015-01-01

    Background There is increasing recognition of the importance of sharing research data within the international scientific community, but also of the ethical and social challenges this presents, particularly in the context of structural inequities and varied capacity in international research. Public involvement is essential to building locally responsive research policies, including on data sharing, but little research has involved stakeholders from low-to-middle income countries. Methods Between January and June 2014, a qualitative study was conducted in Kenya involving sixty stakeholders with varying experiences of research in a deliberative process to explore views on benefits and challenges in research data sharing. In-depth interviews and extended small group discussions based on information sharing and facilitated debate were used to collect data. Data were analysed using Framework Analysis, and charting flow and dynamics in debates. Findings The findings highlight both the opportunities and challenges of communicating about this complex and relatively novel topic for many stakeholders. For more and less research-experienced stakeholders, ethical research data sharing is likely to rest on the development and implementation of appropriate trust-building processes, linked to local perceptions of benefits and challenges. The central nature of trust is underpinned by uncertainties around who might request what data, for what purpose and when. Key benefits perceived in this consultation were concerned with the promotion of public health through science, with legitimate beneficiaries defined differently by different groups. Important challenges were risks to the interests of study participants, communities and originating researchers through stigmatisation, loss of privacy, impacting autonomy and unfair competition, including through forms of intentional and unintentional 'misuse' of data. Risks were also seen for science. Discussion Given background structural

  19. Using Medications Safely

    MedlinePlus

    ... Safely My Medicine List How to Administer Using Medications Safely Pharmacists in hospitals and health systems play an important role in preventing medication errors. To make sure you use medicines safely ...

  20. Negligence, genuine error, and litigation

    PubMed Central

    Sohn, David H

    2013-01-01

    Not all medical injuries are the result of negligence. In fact, most medical injuries are the result either of the inherent risk in the practice of medicine, or due to system errors, which cannot be prevented simply through fear of disciplinary action. This paper will discuss the differences between adverse events, negligence, and system errors; the current medical malpractice tort system in the United States; and review current and future solutions, including medical malpractice reform, alternative dispute resolution, health courts, and no-fault compensation systems. The current political environment favors investigation of non-cap tort reform remedies; investment into more rational oversight systems, such as health courts or no-fault systems may reap both quantitative and qualitative benefits for a less costly and safer health system. PMID:23426783

  1. Errors associated with outpatient computerized prescribing systems

    PubMed Central

    Rothschild, Jeffrey M; Salzberg, Claudia; Keohane, Carol A; Zigmont, Katherine; Devita, Jim; Gandhi, Tejal K; Dalal, Anuj K; Bates, David W; Poon, Eric G

    2011-01-01

    Objective To report the frequency, types, and causes of errors associated with outpatient computer-generated prescriptions, and to develop a framework to classify these errors to determine which strategies have greatest potential for preventing them. Materials and methods This is a retrospective cohort study of 3850 computer-generated prescriptions received by a commercial outpatient pharmacy chain across three states over 4 weeks in 2008. A clinician panel reviewed the prescriptions using a previously described method to identify and classify medication errors. Primary outcomes were the incidence of medication errors; potential adverse drug events, defined as errors with potential for harm; and rate of prescribing errors by error type and by prescribing system. Results Of 3850 prescriptions, 452 (11.7%) contained 466 total errors, of which 163 (35.0%) were considered potential adverse drug events. Error rates varied by computerized prescribing system, from 5.1% to 37.5%. The most common error was omitted information (60.7% of all errors). Discussion About one in 10 computer-generated prescriptions included at least one error, of which a third had potential for harm. This is consistent with the literature on manual handwritten prescription error rates. The number, type, and severity of errors varied by computerized prescribing system, suggesting that some systems may be better at preventing errors than others. Conclusions Implementing a computerized prescribing system without comprehensive functionality and processes in place to ensure meaningful system use does not decrease medication errors. The authors offer targeted recommendations on improving computerized prescribing systems to prevent errors. PMID:21715428

  2. Patient/family views on data sharing in rare diseases: study in the European LeukoTreat project

    PubMed Central

    Darquy, Sylviane; Moutel, Grégoire; Lapointe, Anne-Sophie; D'Audiffret, Diane; Champagnat, Julie; Guerroui, Samia; Vendeville, Marie-Louise; Boespflug-Tanguy, Odile; Duchange, Nathalie

    2016-01-01

    The purpose of this study was to explore patient and family views on the sharing of their medical data in the context of compiling a European leukodystrophies database. A survey questionnaire was delivered with help from referral centers and the European Leukodystrophies Association, and the questionnaires returned were both quantitatively and qualitatively analyzed. This study found that patients/families were strongly in favor of participating. Patients/families hold great hope and trust in the development of this type of research. They have a strong need for information and transparency on database governance, the conditions framing access to data, all research conducted, partnerships with the pharmaceutical industry, and they also need access to results. Our findings bring ethics-driven arguments for a process combining initial broad consent with ongoing information. On both, we propose key item-deliverables to database participants. PMID:26081642

  3. Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule

    PubMed Central

    Benitez, Kathleen; Masys, Daniel

    2010-01-01

    Objective Healthcare organizations must de-identify patient records before sharing data. Many organizations rely on the Safe Harbor Standard of the HIPAA Privacy Rule, which enumerates 18 identifiers that must be suppressed (eg, ages over 89). An alternative model in the Privacy Rule, known as the Statistical Standard, can facilitate the sharing of more detailed data, but is rarely applied because of a lack of published methodologies. The authors propose an intuitive approach to de-identifying patient demographics in accordance with the Statistical Standard. Design The authors conduct an analysis of the demographics of patient cohorts in five medical centers developed for the NIH-sponsored Electronic Medical Records and Genomics network, with respect to the US census. They report the re-identification risk of patient demographics disclosed according to the Safe Harbor policy and the relative risk rate for sharing such information via alternative policies. Measurements The re-identification risk of Safe Harbor demographics ranged from 0.01% to 0.19%. The findings show alternative de-identification models can be created with risks no greater than Safe Harbor. The authors illustrate that the disclosure of patient ages over the age of 89 is possible when other features are reduced in granularity. Limitations The de-identification approach described in this paper was evaluated with demographic data only and should be evaluated with other potential identifiers. Conclusion Alternative de-identification policies to the Safe Harbor model can be derived for patient demographics to enable the disclosure of values that were previously suppressed. The method is generalizable to any environment in which population statistics are available. PMID:21169618

  4. Developing a Framework for Distributed and Dynamic Data Sharing Among the Coastal Ocean Community: Gulf of Maine Spatial Data Project and the Open IOOS Portal

    NASA Astrophysics Data System (ADS)

    Bogden, P.; Shyka, T.; McIlhagga, D.

    2005-12-01

    In the past year the Gulf of Maine Ocean Observing System (GoMOOS), the Southeastern Universities Research Association (SURA) and DM Solutions Group worked with multiple government, academic and private industry partners to develop regional and national distributed data-sharing frameworks for the coastal ocean community. These projects were initiated by a joint FGDC and GeoConnections grant for the Gulf of Maine Framework Data Project. This project catalyzed activities in the Gulf of Maine region, building upon the years of effort at the Open Geospatial Consortium (OGC) and related developments in the NSDI and the Canadian Geospatial Data Infrastructure. This one year demonstration project resulted in a distributed framework data resource that spans international borders and connects more than a dozen regional, State, Federal, Provincial and other types of organizations (www.gommap.org). Even though the project funding has ended the regional partnership continues to grow and has formed the basis for the Gulf of Maine Ocean Data Partnership. Additionally, many organizations within the Canadian government are looking at this project as a model for future data sharing collaborations. Concurrent to the Gulf of Maine project, the SURA Coastal Ocean Observing and Prediction (SCOOP) program initiative leveraged the developing data sharing capacity to coordinate and develop the OpenIOOS portal (www.openioos.org), which demonstrates the capacity of the Integrated Ocean Observing System and starts putting the "I" in IOOS in an OGC-compliant fashion. These efforts have engaged the ocean-science community on the national scale. Indeed, a culture change seems to be underway that will have important implications for our nation's response to recommendations from the U.S. Commission on Ocean Policy. This presentation will discuss the successes and lessons learned from these related projects.

  5. Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease 1

    PubMed Central

    Stephenson, Diane; Hu, Michele T.; Romero, Klaus; Breen, Kieran; Burn, David; Ben-Shlomo, Yoav; Bhattaram, Atul; Isaac, Maria; Venuto, Charles; Kubota, Ken; Little, Max A.; Friend, Stephen; Lovestone, Simon; Morris, Huw R.; Grosset, Donald; Sutherland, Margaret; Gallacher, John; Williams-Gray, Caroline; Bain, Lisa J.; Avilés, Enrique; Marek, Ken; Toga, Arthur W.; Stark, Yafit; Forrest Gordon, Mark; Ford, Steve

    2015-01-01

    Abstract Parkinson’s disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson’s UK and co-organized by Critical Path Institute’s (C-Path) Coalition Against Major Diseases (CAMD) Consortiums, investigators from industry, academia, government and regulatory agencies agreed on the need for sharing of data to enable future success. Government agencies included EMA, FDA, NINDS/NIH and IMI (Innovative Medicines Initiative). Emerging discoveries in new biomarkers and genetic endophenotypes are contributing to our understanding of the underlying pathophysiology of PD. In parallel there is growing recognition that early intervention will be key for successful treatments aimed at disease modification. At present, there is a lack of a comprehensive understanding of disease progression and the many factors that contribute to disease progression heterogeneity. Novel therapeutic targets and trial designs that incorporate existing and new biomarkers to evaluate drug effects independently and in combination are required. The integration of robust clinical data sets is viewed as a powerful approach to hasten medical discovery and therapies, as is being realized across diverse disease conditions employing big data analytics for healthcare. The application of lessons learned from parallel efforts is critical to identify barriers and enable a viable path forward. A roadmap is presented for a regulatory, academic, industry and advocacy driven integrated initiative that aims to facilitate and streamline new drug trials and registrations in Parkinson’s disease. PMID:26406139

  6. Diagnostic Errors in Ambulatory Care: Dimensions and Preventive Strategies

    ERIC Educational Resources Information Center

    Singh, Hardeep; Weingart, Saul N.

    2009-01-01

    Despite an increasing focus on patient safety in ambulatory care, progress in understanding and reducing diagnostic errors in this setting lag behind many other safety concerns such as medication errors. To explore the extent and nature of diagnostic errors in ambulatory care, we identified five dimensions of ambulatory care from which errors may…

  7. Medical Errors: Tips to Help Prevent Them

    MedlinePlus

    ... Crisis Situations Pets and Animals myhealthfinder Food and Nutrition Healthy Food Choices Weight Loss and Diet Plans Nutrients and Nutritional Info Sugar and Sugar Substitutes Exercise and Fitness Exercise Basics Sports Safety Injury Rehabilitation Emotional Well-Being Mental Health ...

  8. A New Cure for Medical Errors

    NASA Technical Reports Server (NTRS)

    2002-01-01

    In May 2000, senior officials of the U.S. Department of Veterans Affairs (VA) and NASA signed an agreement that would commit the two agencies to create the Patient Safety Reporting System (PSRS) to report: events or situations that could have resulted in accident, injury, or illness, but did not, either by chance or through timely intervention (close-calls); unexpected serious occurrences that involved a patient or employee's death, physical injury, or psychological injury; lessens learned; and safety ideas. The VA provided NASA with funding for the initial development of the new system, which automatically removes all personal names, facility names and locations, and other potentially identifying information before entering reports into its database. Designed to complement the VA's current internal reporting systems, the PSRS is modeled after NASA's Aviation Safety Reporting System, which was established in 1975 under a Memorandum of Agreement between the Federal Aviation Administration and NASA and began operation in 1976.

  9. Errors in general practice: development of an error classification and pilot study of a method for detecting errors

    PubMed Central

    Rubin, G; George, A; Chinn, D; Richardson, C

    2003-01-01

    Objective: To describe a classification of errors and to assess the feasibility and acceptability of a method for recording staff reported errors in general practice. Design: An iterative process in a pilot practice was used to develop a classification of errors. This was incorporated in an anonymous self-report form which was then used to collect information on errors during June 2002. The acceptability of the reporting process was assessed using a self-completion questionnaire. Setting: UK general practice. Participants: Ten general practices in the North East of England. Main outcome measures: Classification of errors, frequency of errors, error rates per 1000 appointments, acceptability of the process to participants. Results: 101 events were used to create an initial error classification. This contained six categories: prescriptions, communication, appointments, equipment, clinical care, and "other" errors. Subsequently, 940 errors were recorded in a single 2 week period from 10 practices, providing additional information. 42% (397/940) were related to prescriptions, although only 6% (22/397) of these were medication errors. Communication errors accounted for 30% (282/940) of errors and clinical errors 3% (24/940). The overall error rate was 75.6/1000 appointments (95% CI 71 to 80). The method of error reporting was found to be acceptable by 68% (36/53) of respondents with only 8% (4/53) finding the process threatening. Conclusion: We have developed a classification of errors and described a practical and acceptable method for reporting them that can be used as part of the process of risk management. Errors are common and, although all have the potential to lead to an adverse event, most are administrative. PMID:14645760

  10. Has open data arrived at the British Medical Journal (BMJ)? An observational study

    PubMed Central

    Rowhani-Farid, Anisa

    2016-01-01

    Objective To quantify data sharing trends and data sharing policy compliance at the British Medical Journal (BMJ) by analysing the rate of data sharing practices, and investigate attitudes and examine barriers towards data sharing. Design Observational study. Setting The BMJ research archive. Participants 160 randomly sampled BMJ research articles from 2009 to 2015, excluding meta-analysis and systematic reviews. Main outcome measures Percentages of research articles that indicated the availability of their raw data sets in their data sharing statements, and those that easily made their data sets available on request. Results 3 articles contained the data in the article. 50 out of 157 (32%) remaining articles indicated the availability of their data sets. 12 used publicly available data and the remaining 38 were sent email requests to access their data sets. Only 1 publicly available data set could be accessed and only 6 out of 38 shared their data via email. So only 7/157 research articles shared their data sets, 4.5% (95% CI 1.8% to 9%). For 21 clinical trials bound by the BMJ data sharing policy, the per cent shared was 24% (8% to 47%). Conclusions Despite the BMJ's strong data sharing policy, sharing rates are low. Possible explanations for low data sharing rates could be: the wording of the BMJ data sharing policy, which leaves room for individual interpretation and possible loopholes; that our email requests ended up in researchers spam folders; and that researchers are not rewarded for sharing their data. It might be time for a more effective data sharing policy and better incentives for health and medical researchers to share their data. PMID:27737882

  11. 77 FR 74196 - Draft Guidance for Industry on Safety Considerations for Product Design To Minimize Medication...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-13

    ... Product Design To Minimize Medication Errors; Availability AGENCY: Food and Drug Administration, HHS... guidance for industry entitled ``Safety Considerations for Product Design to Minimize Medication Errors... using a systems approach to minimize medication errors relating to product design. The draft...

  12. User-Friendly Data-Sharing Practices for Fostering Collaboration within a Research Network: Roles of a Vanguard Center for a Community-Based Study.

    PubMed

    Lee, Jae Eun; Sung, Jung Hye; Barnett, M Edwina; Norris, Keith

    2015-12-22

    Although various attempts have been made to build collaborative cultures for data sharing, their effectiveness is still questionable. The Jackson Heart Study (JHS) Vanguard Center (JHSVC) at the NIH-funded Research Centers in Minority Institutions (RCMI) Translational Research Network (RTRN) Data Coordinating Center (DCC) may be a new concept in that the data are being shared with a research network where a plethora of scientists/researchers are working together to achieve their common goal. This study describes the current practices to share the JHS data through the mechanism of JHSVC. The JHS is the largest single-site cohort study to prospectively investigate the determinants of cardiovascular disease among African-Americans. It has adopted a formal screened access method through a formalized JHSVC mechanism, in which only a qualified scientist(s) can access the data. The role of the DCC was to help RTRN researchers explore hypothesis-driven ideas to enhance the output and impact of JHS data through customized services, such as feasibility tests, data querying, manuscript proposal development and data analyses for publication. DCC has implemented these various programs to facilitate data utility. A total of 300 investigators attended workshops and/or received training booklets. DCC provided two online and five onsite workshops and developed/distributed more than 250 copies of the booklet to help potential data users understand the structure of and access to the data. Information on data use was also provided through the RTRN website. The DCC efforts led to the production of five active manuscript proposals, seven completed publications, 11 presentations and four NIH grant proposals. These outcomes resulted from activities during the first four years; over the last couple of years, there were few new requests. Our study suggested that DCC-customized services enhanced the accessibility of JHS data and their utility by RTRN researchers and helped to achieve the

  13. User-Friendly Data-Sharing Practices for Fostering Collaboration within a Research Network: Roles of a Vanguard Center for a Community-Based Study

    PubMed Central

    Lee, Jae Eun; Sung, Jung Hye; Barnett, M. Edwina; Norris, Keith

    2015-01-01

    Although various attempts have been made to build collaborative cultures for data sharing, their effectiveness is still questionable. The Jackson Heart Study (JHS) Vanguard Center (JHSVC) at the NIH-funded Research Centers in Minority Institutions (RCMI) Translational Research Network (RTRN) Data Coordinating Center (DCC) may be a new concept in that the data are being shared with a research network where a plethora of scientists/researchers are working together to achieve their common goal. This study describes the current practices to share the JHS data through the mechanism of JHSVC. The JHS is the largest single-site cohort study to prospectively investigate the determinants of cardiovascular disease among African-Americans. It has adopted a formal screened access method through a formalized JHSVC mechanism, in which only a qualified scientist(s) can access the data. The role of the DCC was to help RTRN researchers explore hypothesis-driven ideas to enhance the output and impact of JHS data through customized services, such as feasibility tests, data querying, manuscript proposal development and data analyses for publication. DCC has implemented these various programs to facilitate data utility. A total of 300 investigators attended workshops and/or received training booklets. DCC provided two online and five onsite workshops and developed/distributed more than 250 copies of the booklet to help potential data users understand the structure of and access to the data. Information on data use was also provided through the RTRN website. The DCC efforts led to the production of five active manuscript proposals, seven completed publications, 11 presentations and four NIH grant proposals. These outcomes resulted from activities during the first four years; over the last couple of years, there were few new requests. Our study suggested that DCC-customized services enhanced the accessibility of JHS data and their utility by RTRN researchers and helped to achieve the

  14. Perceived Benefits, Harms, and Views About How to Share Data Responsibly: A Qualitative Study of Experiences With and Attitudes Toward Data Sharing Among Research Staff and Community Representatives in Thailand.

    PubMed

    Cheah, Phaik Yeong; Tangseefa, Decha; Somsaman, Aimatcha; Chunsuttiwat, Tri; Nosten, François; Day, Nicholas P J; Bull, Susan; Parker, Michael

    2015-07-01

    The Thailand Major Overseas Programme coordinates large multi-center studies in tropical medicine and generates vast amounts of data. As the data sharing movement gains momentum, we wanted to understand attitudes and experiences of relevant stakeholders about what constitutes good data sharing practice. We conducted 15 interviews and three focus groups discussions involving 25 participants and found that they generally saw data sharing as something positive. Data sharing was viewed as a means to contribute to scientific progress and lead to better quality analysis, better use of resources, greater accountability, and more outputs. However, there were also important reservations including potential harms to research participants, their communities, and the researchers themselves. Given these concerns, several areas for discussion were identified: data standardization, appropriate consent models, and governance.

  15. [CIRRNET® - learning from errors, a success story].

    PubMed

    Frank, O; Hochreutener, M; Wiederkehr, P; Staender, S

    2012-06-01

    CIRRNET® is the network of local error-reporting systems of the Swiss Patient Safety Foundation. The network has been running since 2006 together with the Swiss Society for Anaesthesiology and Resuscitation (SGAR), and network participants currently include 39 healthcare institutions from all four different language regions of Switzerland. Further institutions can join at any time. Local error reports in CIRRNET® are bundled at a supraregional level, categorised in accordance with the WHO classification, and analysed by medical experts. The CIRRNET® database offers a solid pool of data with error reports from a wide range of medical specialist's areas and provides the basis for identifying relevant problem areas in patient safety. These problem areas are then processed in cooperation with specialists with extremely varied areas of expertise, and recommendations for avoiding these errors are developed by changing care processes (Quick-Alerts®). Having been approved by medical associations and professional medical societies, Quick-Alerts® are widely supported and well accepted in professional circles. The CIRRNET® database also enables any affiliated CIRRNET® participant to access all error reports in the 'closed user area' of the CIRRNET® homepage and to use these error reports for in-house training. A healthcare institution does not have to make every mistake itself - it can learn from the errors of others, compare notes with other healthcare institutions, and use existing knowledge to advance its own patient safety.

  16. Information-Gathering Patterns Associated with Higher Rates of Diagnostic Error

    ERIC Educational Resources Information Center

    Delzell, John E., Jr.; Chumley, Heidi; Webb, Russell; Chakrabarti, Swapan; Relan, Anju

    2009-01-01

    Diagnostic errors are an important source of medical errors. Problematic information-gathering is a common cause of diagnostic errors among physicians and medical students. The objectives of this study were to (1) determine if medical students' information-gathering patterns formed clusters of similar strategies, and if so (2) to calculate the…

  17. Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction.

    PubMed

    Bruno, Michael A; Walker, Eric A; Abujudeh, Hani H

    2015-10-01

    Arriving at a medical diagnosis is a highly complex process that is extremely error prone. Missed or delayed diagnoses often lead to patient harm and missed opportunities for treatment. Since medical imaging is a major contributor to the overall diagnostic process, it is also a major potential source of diagnostic error. Although some diagnoses may be missed because of the technical or physical limitations of the imaging modality, including image resolution, intrinsic or extrinsic contrast, and signal-to-noise ratio, most missed radiologic diagnoses are attributable to image interpretation errors by radiologists. Radiologic interpretation cannot be mechanized or automated; it is a human enterprise based on complex psychophysiologic and cognitive processes and is itself subject to a wide variety of error types, including perceptual errors (those in which an important abnormality is simply not seen on the images) and cognitive errors (those in which the abnormality is visually detected but the meaning or importance of the finding is not correctly understood or appreciated). The overall prevalence of radiologists' errors in practice does not appear to have changed since it was first estimated in the 1960s. The authors review the epidemiology of errors in diagnostic radiology, including a recently proposed taxonomy of radiologists' errors, as well as research findings, in an attempt to elucidate possible underlying causes of these errors. The authors also propose strategies for error reduction in radiology. On the basis of current understanding, specific suggestions are offered as to how radiologists can improve their performance in practice.

  18. Errors Associated with IV Infusions in Critical Care

    PubMed Central

    Summa-Sorgini, Claudia; Fernandes, Virginia; Lubchansky, Stephanie; Mehta, Sangeeta; Hallett, David; Bailie, Toni; Lapinsky, Stephen E; Burry, Lisa

    2012-01-01

    Background All medication errors are serious, but those associated with the IV route of administration often result in the most severe outcomes. According to the literature, IV medications are associated with 54% of potential adverse events, and 56% of medication errors. Objectives To determine the type and frequency of errors associated with prescribing, documenting, and administering IV infusions, and to also determine if a correlation exists between the incidence of errors and either the time of day (day versus night) or the day of the week (weekday versus weekend) in an academic medicosurgical intensive care unit without computerized order entry or documentation. Methods As part of a quality improvement initiative, a prospective, observational audit was conducted for all IV infusions administered to critically ill patients during 40 randomly selected shifts over a 7-month period in 2007. For each IV infusion, data were collected from 3 sources: direct observation of administration of the medication to the patient, the medication administration record, and the patient’s medical chart. The primary outcome was the occurrence of any infusion-related errors, defined as any errors of omission or commission in the context of IV medication therapy that harmed or could have harmed the patient. Results It was determined that up to 21 separate errors might occur in association with a single dose of an IV medication. In total, 1882 IV infusions were evaluated, and 5641 errors were identified. Omissions or discrepancies related to documentation accounted for 92.7% of all errors. The most common errors identified via each of the 3 data sources were incomplete labelling of IV tubing (1779 or 31.5% of all errors), omission of infusion diluent from the medication administration record (474 or 8.4% of all errors), and discrepancy between the medication order as recorded in the patient’s chart and the IV medication that was being infused (105 or 1.9% of all errors

  19. Laboratory-based surveillance in the molecular era: the TYPENED model, a joint data-sharing platform for clinical and public health laboratories.

    PubMed

    Niesters, H G; Rossen, J W; van der Avoort, H; Baas, D; Benschop, K; Claas, E C; Kroneman, A; van Maarseveen, N; Pas, S; van Pelt, W; Rahamat-Langendoen, J C; Schuurman, R; Vennema, H; Verhoef, L; Wolthers, K; Koopmans, M

    2013-01-24

    Laboratory-based surveillance, one of the pillars of monitoring infectious disease trends, relies on data produced in clinical and/or public health laboratories. Currently, diagnostic laboratories worldwide submit strains or samples to a relatively small number of reference laboratories for characterisation and typing. However, with the introduction of molecular diagnostic methods and sequencing in most of the larger diagnostic and university hospital centres in high-income countries, the distinction between diagnostic and reference/public health laboratory functions has become less clear-cut. Given these developments, new ways of networking and data sharing are needed. Assuming that clinical and public health laboratories may be able to use the same data for their own purposes when sequence-based testing and typing are used, we explored ways to develop a collaborative approach and a jointly owned database (TYPENED) in the Netherlands. The rationale was that sequence data - whether produced to support clinical care or for surveillance -can be aggregated to meet both needs. Here we describe the development of the TYPENED approach and supporting infrastructure, and the implementation of a pilot laboratory network sharing enterovirus sequences and metadata.

  20. VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures

    NASA Astrophysics Data System (ADS)

    Tabik, S.; Romero, L. F.; Mimica, P.; Plata, O.; Zapata, E. L.

    2012-09-01

    A broad area in astronomy focuses on simulating extragalactic objects based on Very Long Baseline Interferometry (VLBI) radio-maps. Several algorithms in this scope simulate what would be the observed radio-maps if emitted from a predefined extragalactic object. This work analyzes the performance and scaling of this kind of algorithms on multi-socket, multi-core architectures. In particular, we evaluate a sharing approach, a privatizing approach and a hybrid approach on systems with complex memory hierarchy that includes shared Last Level Cache (LLC). In addition, we investigate which manual processes can be systematized and then automated in future works. The experiments show that the data-privatizing model scales efficiently on medium scale multi-socket, multi-core systems (up to 48 cores) while regardless of algorithmic and scheduling optimizations, the sharing approach is unable to reach acceptable scalability on more than one socket. However, the hybrid model with a specific level of data-sharing provides the best scalability over all used multi-socket, multi-core systems.

  1. Field error lottery

    SciTech Connect

    Elliott, C.J.; McVey, B. ); Quimby, D.C. )

    1990-01-01

    The level of field errors in an FEL is an important determinant of its performance. We have computed 3D performance of a large laser subsystem subjected to field errors of various types. These calculations have been guided by simple models such as SWOOP. The technique of choice is utilization of the FELEX free electron laser code that now possesses extensive engineering capabilities. Modeling includes the ability to establish tolerances of various types: fast and slow scale field bowing, field error level, beam position monitor error level, gap errors, defocusing errors, energy slew, displacement and pointing errors. Many effects of these errors on relative gain and relative power extraction are displayed and are the essential elements of determining an error budget. The random errors also depend on the particular random number seed used in the calculation. The simultaneous display of the performance versus error level of cases with multiple seeds illustrates the variations attributable to stochasticity of this model. All these errors are evaluated numerically for comprehensive engineering of the system. In particular, gap errors are found to place requirements beyond mechanical tolerances of {plus minus}25{mu}m, and amelioration of these may occur by a procedure utilizing direct measurement of the magnetic fields at assembly time. 4 refs., 12 figs.

  2. The Nurse's Medication Day

    PubMed Central

    Jennings, Bonnie Mowinski; Sandelowski, Margarete; Mark, Barbara

    2014-01-01

    The medication administration stage of the medication-use process is especially vulnerable to error because errors are least likely to be caught before reaching the patient. Medication administration, however, remains poorly understood. In this article we describe medication administration as observed in an ethnographic study conducted on one medical and one surgical unit. A central finding was that medication administration entailed a complex mixture of varied and often competing demands that temporally structured the nurses' entire workday. Articulation work was evident in time management strategies nurses used to handle demands from institutional policies, technical devices, patients, the physical environment, and the medications themselves. The average number of doses of medication per patient was more than double the number policy groups have indicated. Medication administration is neither simply the giving of drugs nor does it have clearly defined temporal boundaries. Because of its inseparability from other nurses' work, medication administration inherently entails interruption, thereby calling into question the current emphasis on reducing interruptions as a tactic to decrease medication errors. PMID:21693688

  3. Inborn errors of metabolism

    MedlinePlus

    Metabolism - inborn errors of ... Bodamer OA. Approach to inborn errors of metabolism. In: Goldman L, Schafer AI, eds. Goldman's Cecil Medicine . 25th ed. Philadelphia, PA: Elsevier Saunders; 2015:chap 205. Rezvani I, Rezvani G. An ...

  4. Sharing electronic medical records across multiple heterogeneous and competing institutions.

    PubMed Central

    Kohane, I. S.; van Wingerde, F. J.; Fackler, J. C.; Cimino, C.; Kilbridge, P.; Murphy, S.; Chueh, H.; Rind, D.; Safran, C.; Barnett, O.; Szolovits, P.

    1996-01-01

    Most early reports of implemented World-Wide Web (W3) medical record systems describe single institution architectures. We describe W3-EMRS, a multi-institutional architecture, and its implementation. Thorny problems in data sharing underlined by the W3-EMRS project are reviewed. PMID:8947738

  5. Programming Errors in APL.

    ERIC Educational Resources Information Center

    Kearsley, Greg P.

    This paper discusses and provides some preliminary data on errors in APL programming. Data were obtained by analyzing listings of 148 complete and partial APL sessions collected from student terminal rooms at the University of Alberta. Frequencies of errors for the various error messages are tabulated. The data, however, are limited because they…

  6. Evaluation of drug administration errors in a teaching hospital

    PubMed Central

    2012-01-01

    Background Medication errors can occur at any of the three steps of the medication use process: prescribing, dispensing and administration. We aimed to determine the incidence, type and clinical importance of drug administration errors and to identify risk factors. Methods Prospective study based on disguised observation technique in four wards in a teaching hospital in Paris, France (800 beds). A pharmacist accompanied nurses and witnessed the preparation and administration of drugs to all patients during the three drug rounds on each of six days per ward. Main outcomes were number, type and clinical importance of errors and associated risk factors. Drug administration error rate was calculated with and without wrong time errors. Relationship between the occurrence of errors and potential risk factors were investigated using logistic regression models with random effects. Results Twenty-eight nurses caring for 108 patients were observed. Among 1501 opportunities for error, 415 administrations (430 errors) with one or more errors were detected (27.6%). There were 312 wrong time errors, ten simultaneously with another type of error, resulting in an error rate without wrong time error of 7.5% (113/1501). The most frequently administered drugs were the cardiovascular drugs (425/1501, 28.3%). The highest risks of error in a drug administration were for dermatological drugs. No potentially life-threatening errors were witnessed and 6% of errors were classified as having a serious or significant impact on patients (mainly omission). In multivariate analysis, the occurrence of errors was associated with drug administration route, drug classification (ATC) and the number of patient under the nurse's care. Conclusion Medication administration errors are frequent. The identification of its determinants helps to undertake designed interventions. PMID:22409837

  7. A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research

    PubMed Central

    Jiang, Xiaoqian; Matheny, Michael E; Farcas, Claudiu; D’Arcy, Michel; Pearlman, Laura; Nookala, Lavanya; Day, Michele E; Kim, Katherine K; Kim, Hyeoneui; Boxwala, Aziz; El-Kareh, Robert; Kuo, Grace M; Resnic, Frederic S; Kesselman, Carl; Ohno-Machado, Lucila

    2015-01-01

    Background Centralized and federated models for sharing data in research networks currently exist. To build multivariate data analysis for centralized networks, transfer of patient-level data to a central computation resource is necessary. The authors implemented distributed multivariate models for federated networks in which patient-level data is kept at each site and data exchange policies are managed in a study-centric manner. Objective The objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features, such as algorithms for distributed iterative multivariate models, a graphical interface for multivariate model specification, synchronous and asynchronous response to network queries, investigator-initiated studies, and study-based control of staff, protocols, and data sharing policies. Materials and Methods Based on the requirements gathered from statisticians, administrators, and investigators from multiple institutions, the authors developed infrastructure and tools to support multisite comparative effectiveness studies using web services for multivariate statistical estimation in the SCANNER federated network. Results The authors implemented massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared. The authors illustrated the use of these systems among institutions with highly different policies and operating under different state laws. Discussion and Conclusion Federated research networks need not limit distributed query functionality to count queries, cohort discovery, or independently estimated analytic models. Multivariate analyses can be efficiently and securely conducted without patient

  8. Data sharing report characterization of population 7: Personal protective equipment, dry active waste, and miscellaneous debris, surveillance and maintenance project Oak Ridge National Laboratory Oak Ridge, Tennessee

    SciTech Connect

    Harpenau, Evan M.

    2013-10-10

    The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support under the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested that ORAU plan and implement a sampling and analysis campaign targeting certain URS|CH2M Oak Ridge, LLC (UCOR) surveillance and maintenance (S&M) process inventory waste. Eight populations of historical and reoccurring S&M waste at the Oak Ridge National Laboratory (ORNL) have been identified in the Waste Handling Plan for Surveillance and Maintenance Activities at the Oak Ridge National Laboratory, DOE/OR/01-2565&D2 (WHP) (DOE 2012) for evaluation and processing to determine a final pathway for disposal. Population 7 (POP 7) consists of 56 containers of aged, low-level and potentially mixed S&M waste that has been staged in various locations around ORNL. Several of these POP 7 containers primarily contain personal protective equipment (PPE) and dry active waste (DAW), but may contain other miscellaneous debris. This data sharing report addresses the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) specified waste in a 13-container subpopulation (including eight steel boxes, three 55-gal drums, one sealand, and one intermodal) that lacked sufficient characterization data for possible disposal at the Environmental Management Waste Management Facility (EMWMF) using the approved Waste Lot (WL) 108.1 profile.

  9. Empathy and error processing.

    PubMed

    Larson, Michael J; Fair, Joseph E; Good, Daniel A; Baldwin, Scott A

    2010-05-01

    Recent research suggests a relationship between empathy and error processing. Error processing is an evaluative control function that can be measured using post-error response time slowing and the error-related negativity (ERN) and post-error positivity (Pe) components of the event-related potential (ERP). Thirty healthy participants completed two measures of empathy, the Interpersonal Reactivity Index (IRI) and the Empathy Quotient (EQ), and a modified Stroop task. Post-error slowing was associated with increased empathic personal distress on the IRI. ERN amplitude was related to overall empathy score on the EQ and the fantasy subscale of the IRI. The Pe and measures of empathy were not related. Results remained consistent when negative affect was controlled via partial correlation, with an additional relationship between ERN amplitude and empathic concern on the IRI. Findings support a connection between empathy and error processing mechanisms.

  10. A statistical model for point-based target registration error with anisotropic fiducial localizer error.

    PubMed

    Wiles, Andrew D; Likholyot, Alexander; Frantz, Donald D; Peters, Terry M

    2008-03-01

    Error models associated with point-based medical image registration problems were first introduced in the late 1990s. The concepts of fiducial localizer error, fiducial registration error, and target registration error are commonly used in the literature. The model for estimating the target registration error at a position r in a coordinate frame defined by a set of fiducial markers rigidly fixed relative to one another is ubiquitous in the medical imaging literature. The model has also been extended to simulate the target registration error at the point of interest in optically tracked tools. However, the model is limited to describing the error in situations where the fiducial localizer error is assumed to have an isotropic normal distribution in R3. In this work, the model is generalized to include a fiducial localizer error that has an anisotropic normal distribution. Similar to the previous models, the root mean square statistic rms tre is provided along with an extension that provides the covariance Sigma tre. The new model is verified using a Monte Carlo simulation and a set of statistical hypothesis tests. Finally, the differences between the two assumptions, isotropic and anisotropic, are discussed within the context of their use in 1) optical tool tracking simulation and 2) image registration.

  11. Aircraft system modeling error and control error

    NASA Technical Reports Server (NTRS)

    Kulkarni, Nilesh V. (Inventor); Kaneshige, John T. (Inventor); Krishnakumar, Kalmanje S. (Inventor); Burken, John J. (Inventor)

    2012-01-01

    A method for modeling error-driven adaptive control of an aircraft. Normal aircraft plant dynamics is modeled, using an original plant description in which a controller responds to a tracking error e(k) to drive the component to a normal reference value according to an asymptote curve. Where the system senses that (1) at least one aircraft plant component is experiencing an excursion and (2) the return of this component value toward its reference value is not proceeding according to the expected controller characteristics, neural network (NN) modeling of aircraft plant operation may be changed. However, if (1) is satisfied but the error component is returning toward its reference value according to expected controller characteristics, the NN will continue to model operation of the aircraft plant according to an original description.

  12. Ototoxic Medications (Medication Effects)

    MedlinePlus

    ... Information for the Public / Hearing and Balance Ototoxic Medications (Medication Effects) By Barbara Cone, Patricia Dorn, Dawn Konrad- ... Audiology Information Series [PDF]. What Is Ototoxicity? Certain medications can damage the ear, resulting in hearing loss, ...

  13. Error detection method

    DOEpatents

    Olson, Eric J.

    2013-06-11

    An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

  14. Software error detection

    NASA Technical Reports Server (NTRS)

    Buechler, W.; Tucker, A. G.

    1981-01-01

    Several methods were employed to detect both the occurrence and source of errors in the operational software of the AN/SLQ-32. A large embedded real time electronic warfare command and control system for the ROLM 1606 computer are presented. The ROLM computer provides information about invalid addressing, improper use of privileged instructions, stack overflows, and unimplemented instructions. Additionally, software techniques were developed to detect invalid jumps, indices out of range, infinte loops, stack underflows, and field size errors. Finally, data are saved to provide information about the status of the system when an error is detected. This information includes I/O buffers, interrupt counts, stack contents, and recently passed locations. The various errors detected, techniques to assist in debugging problems, and segment simulation on a nontarget computer are discussed. These error detection techniques were a major factor in the success of finding the primary cause of error in 98% of over 500 system dumps.

  15. Model Error Budgets

    NASA Technical Reports Server (NTRS)

    Briggs, Hugh C.

    2008-01-01

    An error budget is a commonly used tool in design of complex aerospace systems. It represents system performance requirements in terms of allowable errors and flows these down through a hierarchical structure to lower assemblies and components. The requirements may simply be 'allocated' based upon heuristics or experience, or they may be designed through use of physics-based models. This paper presents a basis for developing an error budget for models of the system, as opposed to the system itself. The need for model error budgets arises when system models are a principle design agent as is increasingly more common for poorly testable high performance space systems.

  16. Error coding simulations

    NASA Technical Reports Server (NTRS)

    Noble, Viveca K.

    1993-01-01

    There are various elements such as radio frequency interference (RFI) which may induce errors in data being transmitted via a satellite communication link. When a transmission is affected by interference or other error-causing elements, the transmitted data becomes indecipherable. It becomes necessary to implement techniques to recover from these disturbances. The objective of this research is to develop software which simulates error control circuits and evaluate the performance of these modules in various bit error rate environments. The results of the evaluation provide the engineer with information which helps determine the optimal error control scheme. The Consultative Committee for Space Data Systems (CCSDS) recommends the use of Reed-Solomon (RS) and convolutional encoders and Viterbi and RS decoders for error correction. The use of forward error correction techniques greatly reduces the received signal to noise needed for a certain desired bit error rate. The use of concatenated coding, e.g. inner convolutional code and outer RS code, provides even greater coding gain. The 16-bit cyclic redundancy check (CRC) code is recommended by CCSDS for error detection.

  17. We need to talk about error: causes and types of error in veterinary practice.

    PubMed

    Oxtoby, C; Ferguson, E; White, K; Mossop, L

    2015-10-31

    Patient safety research in human medicine has identified the causes and common types of medical error and subsequently informed the development of interventions which mitigate harm, such as the WHO's safe surgery checklist. There is no such evidence available to the veterinary profession. This study therefore aims to identify the causes and types of errors in veterinary practice, and presents an evidence based system for their classification. Causes of error were identified from retrospective record review of 678 claims to the profession's leading indemnity insurer and nine focus groups (average N per group=8) with vets, nurses and support staff were performed using critical incident technique. Reason's (2000) Swiss cheese model of error was used to inform the interpretation of the data. Types of error were extracted from 2978 claims records reported between the years 2009 and 2013. The major classes of error causation were identified with mistakes involving surgery the most common type of error. The results were triangulated with findings from the medical literature and highlight the importance of cognitive limitations, deficiencies in non-technical skills and a systems approach to veterinary error.

  18. Concomitant prescribing and dispensing errors at a Brazilian hospital: a descriptive study

    PubMed Central

    Silva, Maria das Dores Graciano; Rosa, Mário Borges; Franklin, Bryony Dean; Reis, Adriano Max Moreira; Anchieta, Lêni Márcia; Mota, Joaquim Antônio César

    2011-01-01

    OBJECTIVE: To analyze the prevalence and types of prescribing and dispensing errors occurring with high-alert medications and to propose preventive measures to avoid errors with these medications. INTRODUCTION: The prevalence of adverse events in health care has increased, and medication errors are probably the most common cause of these events. Pediatric patients are known to be a high-risk group and are an important target in medication error prevention. METHODS: Observers collected data on prescribing and dispensing errors occurring with high-alert medications for pediatric inpatients in a university hospital. In addition to classifying the types of error that occurred, we identified cases of concomitant prescribing and dispensing errors. RESULTS: One or more prescribing errors, totaling 1,632 errors, were found in 632 (89.6%) of the 705 high-alert medications that were prescribed and dispensed. We also identified at least one dispensing error in each high-alert medication dispensed, totaling 1,707 errors. Among these dispensing errors, 723 (42.4%) content errors occurred concomitantly with the prescribing errors. A subset of dispensing errors may have occurred because of poor prescription quality. The observed concomitancy should be examined carefully because improvements in the prescribing process could potentially prevent these problems. CONCLUSION: The system of drug prescribing and dispensing at the hospital investigated in this study should be improved by incorporating the best practices of medication safety and preventing medication errors. High-alert medications may be used as triggers for improving the safety of the drug-utilization system. PMID:22012039

  19. Twenty Questions about Student Errors.

    ERIC Educational Resources Information Center

    Fisher, Kathleen M.; Lipson, Joseph Isaac

    1986-01-01

    Discusses the value of studying errors made by students in the process of learning science. Addresses 20 research questions dealing with student learning errors. Attempts to characterize errors made by students and clarify some terms used in error research. (TW)

  20. Action errors, error management, and learning in organizations.

    PubMed

    Frese, Michael; Keith, Nina

    2015-01-03

    Every organization is confronted with errors. Most errors are corrected easily, but some may lead to negative consequences. Organizations often focus on error prevention as a single strategy for dealing with errors. Our review suggests that error prevention needs to be supplemented by error management--an approach directed at effectively dealing with errors after they have occurred, with the goal of minimizing negative and maximizing positive error consequences (examples of the latter are learning and innovations). After defining errors and related concepts, we review research on error-related processes affected by error management (error detection, damage control). Empirical evidence on positive effects of error management in individuals and organizations is then discussed, along with emotional, motivational, cognitive, and behavioral pathways of these effects. Learning from errors is central, but like other positive consequences, learning occurs under certain circumstances--one being the development of a mind-set of acceptance of human error.

  1. Refractive error blindness.

    PubMed Central

    Dandona, R.; Dandona, L.

    2001-01-01

    Recent data suggest that a large number of people are blind in different parts of the world due to high refractive error because they are not using appropriate refractive correction. Refractive error as a cause of blindness has been recognized only recently with the increasing use of presenting visual acuity for defining blindness. In addition to blindness due to naturally occurring high refractive error, inadequate refractive correction of aphakia after cataract surgery is also a significant cause of blindness in developing countries. Blindness due to refractive error in any population suggests that eye care services in general in that population are inadequate since treatment of refractive error is perhaps the simplest and most effective form of eye care. Strategies such as vision screening programmes need to be implemented on a large scale to detect individuals suffering from refractive error blindness. Sufficient numbers of personnel to perform reasonable quality refraction need to be trained in developing countries. Also adequate infrastructure has to be developed in underserved areas of the world to facilitate the logistics of providing affordable reasonable-quality spectacles to individuals suffering from refractive error blindness. Long-term success in reducing refractive error blindness worldwide will require attention to these issues within the context of comprehensive approaches to reduce all causes of avoidable blindness. PMID:11285669

  2. Teacher-Induced Errors.

    ERIC Educational Resources Information Center

    Richmond, Kent C.

    Students of English as a second language (ESL) often come to the classroom with little or no experience in writing in any language and with inaccurate assumptions about writing. Rather than correct these assumptions, teachers often seem to unwittingly reinforce them, actually inducing errors into their students' work. Teacher-induced errors occur…

  3. compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.

    PubMed

    Edmands, William M B; Petrick, Lauren; Barupal, Dinesh K; Scalbert, Augustin; Wilson, Mark J; Wickliffe, Jeffrey K; Rappaport, Stephen M

    2017-04-04

    A long-standing challenge of untargeted metabolomic profiling by ultrahigh-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) is efficient transition from unknown mass spectral features to confident metabolite annotations. The compMS(2)Miner (Comprehensive MS(2) Miner) package was developed in the R language to facilitate rapid, comprehensive feature annotation using a peak-picker-output and MS(2) data files as inputs. The number of MS(2) spectra that can be collected during a metabolomic profiling experiment far outweigh the amount of time required for pain-staking manual interpretation; therefore, a degree of software workflow autonomy is required for broad-scale metabolite annotation. CompMS(2)Miner integrates many useful tools in a single workflow for metabolite annotation and also provides a means to overview the MS(2) data with a Web application GUI compMS(2)Explorer (Comprehensive MS(2) Explorer) that also facilitates data-sharing and transparency. The automatable compMS(2)Miner workflow consists of the following steps: (i) matching unknown MS(1) features to precursor MS(2) scans, (ii) filtration of spectral noise (dynamic noise filter), (iii) generation of composite mass spectra by multiple similar spectrum signal summation and redundant/contaminant spectra removal, (iv) interpretation of possible fragment ion substructure using an internal database, (v) annotation of unknowns with chemical and spectral databases with prediction of mammalian biotransformation metabolites, wrapper functions for in silico fragmentation software, nearest neighbor chemical similarity scoring, random forest based retention time prediction, text-mining based false positive removal/true positive ranking, chemical taxonomic prediction and differential evolution based global annotation score optimization, and (vi) network graph visualizations, data curation, and sharing are made possible via the compMS(2)Explorer application. Metabolite identities and

  4. Uncorrected refractive errors.

    PubMed

    Naidoo, Kovin S; Jaggernath, Jyoti

    2012-01-01

    Global estimates indicate that more than 2.3 billion people in the world suffer from poor vision due to refractive error; of which 670 million people are considered visually impaired because they do not have access to corrective treatment. Refractive errors, if uncorrected, results in an impaired quality of life for millions of people worldwide, irrespective of their age, sex and ethnicity. Over the past decade, a series of studies using a survey methodology, referred to as Refractive Error Study in Children (RESC), were performed in populations with different ethnic origins and cultural settings. These studies confirmed that the prevalence of uncorrected refractive errors is considerably high for children in low-and-middle-income countries. Furthermore, uncorrected refractive error has been noted to have extensive social and economic impacts, such as limiting educational and employment opportunities of economically active persons, healthy individuals and communities. The key public health challenges presented by uncorrected refractive errors, the leading cause of vision impairment across the world, require urgent attention. To address these issues, it is critical to focus on the development of human resources and sustainable methods of service delivery. This paper discusses three core pillars to addressing the challenges posed by uncorrected refractive errors: Human Resource (HR) Development, Service Development and Social Entrepreneurship.

  5. Real-time medical collaboration services over the web.

    PubMed

    Andrikos, Christos; Rassias, Georgios; Tsanakas, Panayiotis; Maglogiannis, Ilias

    2015-08-01

    The gradual shift in modern medical practice, from working alone clinical doctors to MDTs (Multi-Disciplinary Teams), raises the need of online real-time collaboration among geographically distributed medical personnel. The paper presents a Web-based platform, featuring an efficient medical data management and exchange, for hosting real-time collaborative services. The presented work leverages state-of-the-art features of the web (technologies and APIs) to support client-side medical data processing. Moreover, to address the typical bandwidth bottleneck and known scalability issues of centralized data sharing, an indirect RPC (Remote Process Call) scheme is introduced through object synchronization over the WebRTC paradigm.

  6. Error Prevention Aid

    NASA Technical Reports Server (NTRS)

    1987-01-01

    In a complex computer environment there is ample opportunity for error, a mistake by a programmer, or a software-induced undesirable side effect. In insurance, errors can cost a company heavily, so protection against inadvertent change is a must for the efficient firm. The data processing center at Transport Life Insurance Company has taken a step to guard against accidental changes by adopting a software package called EQNINT (Equations Interpreter Program). EQNINT cross checks the basic formulas in a program against the formulas that make up the major production system. EQNINT assures that formulas are coded correctly and helps catch errors before they affect the customer service or its profitability.

  7. Estimating Bias Error Distributions

    NASA Technical Reports Server (NTRS)

    Liu, Tian-Shu; Finley, Tom D.

    2001-01-01

    This paper formulates the general methodology for estimating the bias error distribution of a device in a measuring domain from less accurate measurements when a minimal number of standard values (typically two values) are available. A new perspective is that the bias error distribution can be found as a solution of an intrinsic functional equation in a domain. Based on this theory, the scaling- and translation-based methods for determining the bias error distribution arc developed. These methods are virtually applicable to any device as long as the bias error distribution of the device can be sufficiently described by a power series (a polynomial) or a Fourier series in a domain. These methods have been validated through computational simulations and laboratory calibration experiments for a number of different devices.

  8. Quantum Error Correction

    NASA Astrophysics Data System (ADS)

    Lidar, Daniel A.; Brun, Todd A.

    2013-09-01

    Prologue; Preface; Part I. Background: 1. Introduction to decoherence and noise in open quantum systems Daniel Lidar and Todd Brun; 2. Introduction to quantum error correction Dave Bacon; 3. Introduction to decoherence-free subspaces and noiseless subsystems Daniel Lidar; 4. Introduction to quantum dynamical decoupling Lorenza Viola; 5. Introduction to quantum fault tolerance Panos Aliferis; Part II. Generalized Approaches to Quantum Error Correction: 6. Operator quantum error correction David Kribs and David Poulin; 7. Entanglement-assisted quantum error-correcting codes Todd Brun and Min-Hsiu Hsieh; 8. Continuous-time quantum error correction Ognyan Oreshkov; Part III. Advanced Quantum Codes: 9. Quantum convolutional codes Mark Wilde; 10. Non-additive quantum codes Markus Grassl and Martin Rötteler; 11. Iterative quantum coding systems David Poulin; 12. Algebraic quantum coding theory Andreas Klappenecker; 13. Optimization-based quantum error correction Andrew Fletcher; Part IV. Advanced Dynamical Decoupling: 14. High order dynamical decoupling Zhen-Yu Wang and Ren-Bao Liu; 15. Combinatorial approaches to dynamical decoupling Martin Rötteler and Pawel Wocjan; Part V. Alternative Quantum Computation Approaches: 16. Holonomic quantum computation Paolo Zanardi; 17. Fault tolerance for holonomic quantum computation Ognyan Oreshkov, Todd Brun and Daniel Lidar; 18. Fault tolerant measurement-based quantum computing Debbie Leung; Part VI. Topological Methods: 19. Topological codes Héctor Bombín; 20. Fault tolerant topological cluster state quantum computing Austin Fowler and Kovid Goyal; Part VII. Applications and Implementations: 21. Experimental quantum error correction Dave Bacon; 22. Experimental dynamical decoupling Lorenza Viola; 23. Architectures Jacob Taylor; 24. Error correction in quantum communication Mark Wilde; Part VIII. Critical Evaluation of Fault Tolerance: 25. Hamiltonian methods in QEC and fault tolerance Eduardo Novais, Eduardo Mucciolo and

  9. General Advice on Safe Medication Use

    MedlinePlus

    ... About Us Contact Us General Advice on Safe Medication Use Visit our new website for consumers The ... answers--it's your life and your health! Unfortunately, medication errors happen. They happen in hospitals, in pharmacies, ...

  10. Smoothing error pitfalls

    NASA Astrophysics Data System (ADS)

    von Clarmann, T.

    2014-04-01

    The difference due to the content of a priori information between a constrained retrieval and the true atmospheric state is usually represented by the so-called smoothing error. In this paper it is shown that the concept of the smoothing error is questionable because it is not compliant with Gaussian error propagation. The reason for this is that the smoothing error does not represent the expected deviation of the retrieval from the true state but the expected deviation of the retrieval from the atmospheric state sampled on an arbitrary grid, which is itself a smoothed representation of the true state. The idea of a sufficiently fine sampling of this reference atmospheric state is untenable because atmospheric variability occurs on all scales, implying that there is no limit beyond which the sampling is fine enough. Even the idealization of infinitesimally fine sampling of the reference state does not help because the smoothing error is applied to quantities which are only defined in a statistical sense, which implies that a finite volume of sufficient spatial extent is needed to meaningfully talk about temperature or concentration. Smoothing differences, however, which play a role when measurements are compared, are still a useful quantity if the involved a priori covariance matrix has been evaluated on the comparison grid rather than resulting from interpolation. This is, because the undefined component of the smoothing error, which is the effect of smoothing implied by the finite grid on which the measurements are compared, cancels out when the difference is calculated.

  11. Thermodynamics of Error Correction

    NASA Astrophysics Data System (ADS)

    Sartori, Pablo; Pigolotti, Simone

    2015-10-01

    Information processing at the molecular scale is limited by thermal fluctuations. This can cause undesired consequences in copying information since thermal noise can lead to errors that can compromise the functionality of the copy. For example, a high error rate during DNA duplication can lead to cell death. Given the importance of accurate copying at the molecular scale, it is fundamental to understand its thermodynamic features. In this paper, we derive a universal expression for the copy error as a function of entropy production and work dissipated by the system during wrong incorporations. Its derivation is based on the second law of thermodynamics; hence, its validity is independent of the details of the molecular machinery, be it any polymerase or artificial copying device. Using this expression, we find that information can be copied in three different regimes. In two of them, work is dissipated to either increase or decrease the error. In the third regime, the protocol extracts work while correcting errors, reminiscent of a Maxwell demon. As a case study, we apply our framework to study a copy protocol assisted by kinetic proofreading, and show that it can operate in any of these three regimes. We finally show that, for any effective proofreading scheme, error reduction is limited by the chemical driving of the proofreading reaction.

  12. Error monitoring in musicians

    PubMed Central

    Maidhof, Clemens

    2013-01-01

    To err is human, and hence even professional musicians make errors occasionally during their performances. This paper summarizes recent work investigating error monitoring in musicians, i.e., the processes and their neural correlates associated with the monitoring of ongoing actions and the detection of deviations from intended sounds. Electroencephalography (EEG) studies reported an early component of the event-related potential (ERP) occurring before the onsets of pitch errors. This component, which can be altered in musicians with focal dystonia, likely reflects processes of error detection and/or error compensation, i.e., attempts to cancel the undesired sensory consequence (a wrong tone) a musician is about to perceive. Thus, auditory feedback seems not to be a prerequisite for error detection, consistent with previous behavioral results. In contrast, when auditory feedback is externally manipulated and thus unexpected, motor performance can be severely distorted, although not all feedback alterations result in performance impairments. Recent studies investigating the neural correlates of feedback processing showed that unexpected feedback elicits an ERP component after note onsets, which shows larger amplitudes during music performance than during mere perception of the same musical sequences. Hence, these results stress the role of motor actions for the processing of auditory information. Furthermore, recent methodological advances like the combination of 3D motion capture techniques with EEG will be discussed. Such combinations of different measures can potentially help to disentangle the roles of different feedback types such as proprioceptive and auditory feedback, and in general to derive at a better understanding of the complex interactions between the motor and auditory domain during error monitoring. Finally, outstanding questions and future directions in this context will be discussed. PMID:23898255

  13. Errata: Papers in Error Analysis.

    ERIC Educational Resources Information Center

    Svartvik, Jan, Ed.

    Papers presented at the symposium of error analysis in Lund, Sweden, in September 1972, approach error analysis specifically in its relation to foreign language teaching and second language learning. Error analysis is defined as having three major aspects: (1) the description of the errors, (2) the explanation of errors by means of contrastive…

  14. Smoothing error pitfalls

    NASA Astrophysics Data System (ADS)

    von Clarmann, T.

    2014-09-01

    The difference due to the content of a priori information between a constrained retrieval and the true atmospheric state is usually represented by a diagnostic quantity called smoothing error. In this paper it is shown that, regardless of the usefulness of the smoothing error as a diagnostic tool in its own right, the concept of the smoothing error as a component of the retrieval error budget is questionable because it is not compliant with Gaussian error propagation. The reason for this is that the smoothing error does not represent the expected deviation of the retrieval from the true state but the expected deviation of the retrieval from the atmospheric state sampled on an arbitrary grid, which is itself a smoothed representation of the true state; in other words, to characterize the full loss of information with respect to the true atmosphere, the effect of the representation of the atmospheric state on a finite grid also needs to be considered. The idea of a sufficiently fine sampling of this reference atmospheric state is problematic because atmospheric variability occurs on all scales, implying that there is no limit beyond which the sampling is fine enough. Even the idealization of infinitesimally fine sampling of the reference state does not help, because the smoothing error is applied to quantities which are only defined in a statistical sense, which implies that a finite volume of sufficient spatial extent is needed to meaningfully discuss temperature or concentration. Smoothing differences, however, which play a role when measurements are compared, are still a useful quantity if the covariance matrix involved has been evaluated on the comparison grid rather than resulting from interpolation and if the averaging kernel matrices have been evaluated on a grid fine enough to capture all atmospheric variations that the instruments are sensitive to. This is, under the assumptions stated, because the undefined component of the smoothing error, which is the

  15. 78 FR 18233 - Medical Devices; Technical Amendment

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-26

    ... procedure, Confidential business information, Medical devices, Medical research, Reporting and recordkeeping..., 876, 878, 880, 882, 884, 886, 888, 890, and 892 Medical Devices; Technical Amendment AGENCY: Food and... Administration (FDA) is amending certain medical device regulations to correct minor errors in the Code...

  16. Access Scheme for Controlling Mobile Agents and its Application to Share Medical Information.

    PubMed

    Liao, Yu-Ting; Chen, Tzer-Shyong; Chen, Tzer-Long; Chung, Yu-Fang; Chen, Yu- Xin; Hwang, Jen-Hung; Wang, Huihui; Wei, Wei

    2016-05-01

    This study is showing the advantage of mobile agents to conquer heterogeneous system environments and contribute to a virtual integrated sharing system. Mobile agents will collect medical information from each medical institution as a method to achieve the medical purpose of data sharing. Besides, this research also provides an access control and key management mechanism by adopting Public key cryptography and Lagrange interpolation. The safety analysis of the system is based on a network attacker's perspective. The achievement of this study tries to improve the medical quality, prevent wasting medical resources and make medical resources access to appropriate configuration.

  17. Error Sensitivity Model.

    DTIC Science & Technology

    1980-04-01

    Philosophy The Positioning/Error Model has been defined in three dis- tinct phases: I - Error Sensitivity Model II - Operonal Positioning Model III...X inv VH,’itat NX*YImpY -IY+X 364: mat AX+R 365: ara R+L+R 366: if NC1,1J-N[2,2)=O and N[1,2<135+T;j, 6 367: if NC1,1]-N2,2J=6 and NCI2=;0.T;jmp 5

  18. Error Free Software

    NASA Technical Reports Server (NTRS)

    1985-01-01

    A mathematical theory for development of "higher order" software to catch computer mistakes resulted from a Johnson Space Center contract for Apollo spacecraft navigation. Two women who were involved in the project formed Higher Order Software, Inc. to develop and market the system of error analysis and correction. They designed software which is logically error-free, which, in one instance, was found to increase productivity by 600%. USE.IT defines its objectives using AXES -- a user can write in English and the system converts to computer languages. It is employed by several large corporations.

  19. (Errors in statistical tests)3.

    PubMed

    Phillips, Carl V; MacLehose, Richard F; Kaufman, Jay S

    2008-07-14

    In 2004, Garcia-Berthou and Alcaraz published "Incongruence between test statistics and P values in medical papers," a critique of statistical errors that received a tremendous amount of attention. One of their observations was that the final reported digit of p-values in articles published in the journal Nature departed substantially from the uniform distribution that they suggested should be expected. In 2006, Jeng critiqued that critique, observing that the statistical analysis of those terminal digits had been based on comparing the actual distribution to a uniform continuous distribution, when digits obviously are discretely distributed. Jeng corrected the calculation and reported statistics that did not so clearly support the claim of a digit preference. However delightful it may be to read a critique of statistical errors in a critique of statistical errors, we nevertheless found several aspects of the whole exchange to be quite troubling, prompting our own meta-critique of the analysis.The previous discussion emphasized statistical significance testing. But there are various reasons to expect departure from the uniform distribution in terminal digits of p-values, so that simply rejecting the null hypothesis is not terribly informative. Much more importantly, Jeng found that the original p-value of 0.043 should have been 0.086, and suggested this represented an important difference because it was on the other side of 0.05. Among the most widely reiterated (though often ignored) tenets of modern quantitative research methods is that we should not treat statistical significance as a bright line test of whether we have observed a phenomenon. Moreover, it sends the wrong message about the role of statistics to suggest that a result should be dismissed because of limited statistical precision when it is so easy to gather more data.In response to these limitations, we gathered more data to improve the statistical precision, and analyzed the actual pattern of the

  20. Orwell's Instructive Errors

    ERIC Educational Resources Information Center

    Julian, Liam

    2009-01-01

    In this article, the author talks about George Orwell, his instructive errors, and the manner in which Orwell pierced worthless theory, faced facts and defended decency (with fluctuating success), and largely ignored the tradition of accumulated wisdom that has rendered him a timeless teacher--one whose inadvertent lessons, while infrequently…

  1. Report of the Subpanel on Error Characterization and Error Budgets

    NASA Technical Reports Server (NTRS)

    1982-01-01

    The state of knowledge of both user positioning requirements and error models of current and proposed satellite systems is reviewed. In particular the error analysis models for LANDSAT D are described. Recommendations are given concerning the geometric error model for the thematic mapper; interactive user involvement in system error budgeting and modeling and verification on real data sets; and the identification of a strawman mission for modeling key error sources.

  2. Automatic Error Analysis Using Intervals

    ERIC Educational Resources Information Center

    Rothwell, E. J.; Cloud, M. J.

    2012-01-01

    A technique for automatic error analysis using interval mathematics is introduced. A comparison to standard error propagation methods shows that in cases involving complicated formulas, the interval approach gives comparable error estimates with much less effort. Several examples are considered, and numerical errors are computed using the INTLAB…

  3. Control by model error estimation

    NASA Technical Reports Server (NTRS)

    Likins, P. W.; Skelton, R. E.

    1976-01-01

    Modern control theory relies upon the fidelity of the mathematical model of the system. Truncated modes, external disturbances, and parameter errors in linear system models are corrected by augmenting to the original system of equations an 'error system' which is designed to approximate the effects of such model errors. A Chebyshev error system is developed for application to the Large Space Telescope (LST).

  4. Imagery of Errors in Typing

    ERIC Educational Resources Information Center

    Rieger, Martina; Martinez, Fanny; Wenke, Dorit

    2011-01-01

    Using a typing task we investigated whether insufficient imagination of errors and error corrections is related to duration differences between execution and imagination. In Experiment 1 spontaneous error imagination was investigated, whereas in Experiment 2 participants were specifically instructed to imagine errors. Further, in Experiment 2 we…

  5. Speech Errors across the Lifespan

    ERIC Educational Resources Information Center

    Vousden, Janet I.; Maylor, Elizabeth A.

    2006-01-01

    Dell, Burger, and Svec (1997) proposed that the proportion of speech errors classified as anticipations (e.g., "moot and mouth") can be predicted solely from the overall error rate, such that the greater the error rate, the lower the anticipatory proportion (AP) of errors. We report a study examining whether this effect applies to changes in error…

  6. None Too Solid: Medical Ignorance.

    ERIC Educational Resources Information Center

    Kerwin, Ann

    1993-01-01

    Examines the concept of medical ignorance. Highlights include awareness of fallibility; the increasing supply of information; philosophies of ignorance; a phenomenology of ignorance; special issues related to medical ignorance; and mapping ignorance, including known unknowns, unknown unknowns, errors, tacit knowing, taboos, and denials. (Contains…

  7. Hyponatremia: management errors.

    PubMed

    Seo, Jang Won; Park, Tae Jin

    2006-11-01

    Rapid correction of hyponatremia is frequently associated with increased morbidity and mortality. Therefore, it is important to estimate the proper volume and type of infusate required to increase the serum sodium concentration predictably. The major common management errors during the treatment of hyponatremia are inadequate investigation, treatment with fluid restriction for diuretic-induced hyponatremia and treatment with fluid restriction plus intravenous isotonic saline simultaneously. We present two cases of management errors. One is about the problem of rapid correction of hyponatremia in a patient with sepsis and acute renal failure during continuous renal replacement therapy in the intensive care unit. The other is the case of hypothyroidism in which hyponatremia was aggravated by intravenous infusion of dextrose water and isotonic saline infusion was erroneously used to increase serum sodium concentration.

  8. Error-Free Software

    NASA Technical Reports Server (NTRS)

    1989-01-01

    001 is an integrated tool suited for automatically developing ultra reliable models, simulations and software systems. Developed and marketed by Hamilton Technologies, Inc. (HTI), it has been applied in engineering, manufacturing, banking and software tools development. The software provides the ability to simplify the complex. A system developed with 001 can be a prototype or fully developed with production quality code. It is free of interface errors, consistent, logically complete and has no data or control flow errors. Systems can be designed, developed and maintained with maximum productivity. Margaret Hamilton, President of Hamilton Technologies, also directed the research and development of USE.IT, an earlier product which was the first computer aided software engineering product in the industry to concentrate on automatically supporting the development of an ultrareliable system throughout its life cycle. Both products originated in NASA technology developed under a Johnson Space Center contract.

  9. Modular error embedding

    DOEpatents

    Sandford, II, Maxwell T.; Handel, Theodore G.; Ettinger, J. Mark

    1999-01-01

    A method of embedding auxiliary information into the digital representation of host data containing noise in the low-order bits. The method applies to digital data representing analog signals, for example digital images. The method reduces the error introduced by other methods that replace the low-order bits with auxiliary information. By a substantially reverse process, the embedded auxiliary data can be retrieved easily by an authorized user through use of a digital key. The modular error embedding method includes a process to permute the order in which the host data values are processed. The method doubles the amount of auxiliary information that can be added to host data values, in comparison with bit-replacement methods for high bit-rate coding. The invention preserves human perception of the meaning and content of the host data, permitting the addition of auxiliary data in the amount of 50% or greater of the original host data.

  10. Error-correction coding

    NASA Technical Reports Server (NTRS)

    Hinds, Erold W. (Principal Investigator)

    1996-01-01

    This report describes the progress made towards the completion of a specific task on error-correcting coding. The proposed research consisted of investigating the use of modulation block codes as the inner code of a concatenated coding system in order to improve the overall space link communications performance. The study proposed to identify and analyze candidate codes that will complement the performance of the overall coding system which uses the interleaved RS (255,223) code as the outer code.

  11. Surface temperature measurement errors

    SciTech Connect

    Keltner, N.R.; Beck, J.V.

    1983-05-01

    Mathematical models are developed for the response of surface mounted thermocouples on a thick wall. These models account for the significant causes of errors in both the transient and steady-state response to changes in the wall temperature. In many cases, closed form analytical expressions are given for the response. The cases for which analytical expressions are not obtained can be easily evaluated on a programmable calculator or a small computer.

  12. Bayesian Error Estimation Functionals

    NASA Astrophysics Data System (ADS)

    Jacobsen, Karsten W.

    The challenge of approximating the exchange-correlation functional in Density Functional Theory (DFT) has led to the development of numerous different approximations of varying accuracy on different calculated properties. There is therefore a need for reliable estimation of prediction errors within the different approximation schemes to DFT. The Bayesian Error Estimation Functionals (BEEF) have been developed with this in mind. The functionals are constructed by fitting to experimental and high-quality computational databases for molecules and solids including chemisorption and van der Waals systems. This leads to reasonably accurate general-purpose functionals with particual focus on surface science. The fitting procedure involves considerations on how to combine different types of data, and applies Tikhonov regularization and bootstrap cross validation. The methodology has been applied to construct GGA and metaGGA functionals with and without inclusion of long-ranged van der Waals contributions. The error estimation is made possible by the generation of not only a single functional but through the construction of a probability distribution of functionals represented by a functional ensemble. The use of the functional ensemble is illustrated on compound heat of formation and by investigations of the reliability of calculated catalytic ammonia synthesis rates.

  13. A new coding system for metabolic disorders demonstrates gaps in the international disease classifications ICD-10 and SNOMED-CT, which can be barriers to genotype-phenotype data sharing.

    PubMed

    Sollie, Annet; Sijmons, Rolf H; Lindhout, Dick; van der Ploeg, Ans T; Rubio Gozalbo, M Estela; Smit, G Peter A; Verheijen, Frans; Waterham, Hans R; van Weely, Sonja; Wijburg, Frits A; Wijburg, Rudolph; Visser, Gepke

    2013-07-01

    Data sharing is essential for a better understanding of genetic disorders. Good phenotype coding plays a key role in this process. Unfortunately, the two most widely used coding systems in medicine, ICD-10 and SNOMED-CT, lack information necessary for the detailed classification and annotation of rare and genetic disorders. This prevents the optimal registration of such patients in databases and thus data-sharing efforts. To improve care and to facilitate research for patients with metabolic disorders, we developed a new coding system for metabolic diseases with a dedicated group of clinical specialists. Next, we compared the resulting codes with those in ICD and SNOMED-CT. No matches were found in 76% of cases in ICD-10 and in 54% in SNOMED-CT. We conclude that there are sizable gaps in the SNOMED-CT and ICD coding systems for metabolic disorders. There may be similar gaps for other classes of rare and genetic disorders. We have demonstrated that expert groups can help in addressing such coding issues. Our coding system has been made available to the ICD and SNOMED-CT organizations as well as to the Orphanet and HPO organizations for further public application and updates will be published online (www.ddrmd.nl and www.cineas.org).

  14. Data sharing for prevention: a case study in the development of a comprehensive emergency department injury surveillance system and its use in preventing violence and alcohol-related harms

    PubMed Central

    Quigg, Zara; Hughes, Karen; Bellis, Mark A

    2012-01-01

    Objective To examine emergency department (ED) data sharing via a local injury surveillance system and assess its contribution to the prevention of violence and alcohol-related harms. Methods 6-year (2004–2010) exploratory study analysing injury attendances to one ED in the North West of England using descriptive and trend analyses. Results Over the 6-year period, there were 242 796 ED injury attendances, including 21 683 for intentional injuries. Compared with unintentional injury patients, intentional injury patients were more likely to be men, aged 18–34 years, live in the most deprived communities, have attended the ED at night/weekends, have been injured in a public place and have consumed alcohol prior to the injury. Detailed data collected on alcohol and violence-related ED attendances were shared with local partners to monitor local trends and inform prevention activity including targeted policing and licensing enforcement. Over the 6-year period, intentional ED injury attendances decreased by 35.6% and alcohol-related assault attendances decreased by 30.3%. Conclusions The collection of additional ED data on assault details and alcohol use prior to injury, and its integration into multi-agency policy and practice, played an important role in driving local violence prevention activity. Further research is needed to assess the direct contribution ED data sharing makes to reductions in violence. PMID:22210640

  15. Nurses' Behaviors and Visual Scanning Patterns May Reduce Patient Identification Errors

    ERIC Educational Resources Information Center

    Marquard, Jenna L.; Henneman, Philip L.; He, Ze; Jo, Junghee; Fisher, Donald L.; Henneman, Elizabeth A.

    2011-01-01

    Patient identification (ID) errors occurring during the medication administration process can be fatal. The aim of this study is to determine whether differences in nurses' behaviors and visual scanning patterns during the medication administration process influence their capacities to identify patient ID errors. Nurse participants (n = 20)…

  16. Managing a new medication administration process.

    PubMed

    Englebright, Jane D; Franklin, Michelle

    2005-09-01

    The national focus on medication errors has stimulated rapid adoption of medication administration technologies with bar code verification. The effectiveness of these technologies in preventing errors is directly related to how consistently practitioners use the technology to verify both patient identity and drug identity with each administration. The authors discuss management strategies that have proven effective at increasing staff compliance with using bar code-enabled medication systems.

  17. How do Community Pharmacies Recover from E-prescription Errors?

    PubMed Central

    Odukoya, Olufunmilola K.; Stone, Jamie A.; Chui, Michelle A.

    2014-01-01

    Background The use of e-prescribing is increasing annually, with over 788 million e-prescriptions received in US pharmacies in 2012. Approximately 9% of e-prescriptions have medication errors. Objective To describe the process used by community pharmacy staff to detect, explain, and correct e-prescription errors. Methods The error recovery conceptual framework was employed for data collection and analysis. 13 pharmacists and 14 technicians from five community pharmacies in Wisconsin participated in the study. A combination of data collection methods were utilized, including direct observations, interviews, and focus groups. The transcription and content analysis of recordings were guided by the three-step error recovery model. Results Most of the e-prescription errors were detected during the entering of information into the pharmacy system. These errors were detected by both pharmacists and technicians using a variety of strategies which included: (1) performing double checks of e-prescription information; (2) printing the e-prescription to paper and confirming the information on the computer screen with information from the paper printout; and (3) using colored pens to highlight important information. Strategies used for explaining errors included: (1) careful review of patient’ medication history; (2) pharmacist consultation with patients; (3) consultation with another pharmacy team member; and (4) use of online resources. In order to correct e-prescription errors, participants made educated guesses of the prescriber’s intent or contacted the prescriber via telephone or fax. When e-prescription errors were encountered in the community pharmacies, the primary goal of participants was to get the order right for patients by verifying the prescriber’s intent. Conclusion Pharmacists and technicians play an important role in preventing e-prescription errors through the detection of errors and the verification of prescribers’ intent. Future studies are needed

  18. Drug Administration Errors in an Institution for Individuals with Intellectual Disability: An Observational Study

    ERIC Educational Resources Information Center

    van den Bemt, P. M. L. A.; Robertz, R.; de Jong, A. L.; van Roon, E. N.; Leufkens, H. G. M.

    2007-01-01

    Background: Medication errors can result in harm, unless barriers to prevent them are present. Drug administration errors are less likely to be prevented, because they occur in the last stage of the drug distribution process. This is especially the case in non-alert patients, as patients often form the final barrier to prevention of errors.…

  19. Teamwork in emergency medical services.

    PubMed

    Williams, K A; Rose, W D; Simon, R

    1999-01-01

    Emergency medical care is delivered by highly trained and motivated individuals working in groups. In some cases, these groups function as teams, but their teamwork has been poorly studied and rarely is the result of focused training. Medical outcome traditionally is described using patient parameters and often is related to the economics of care delivery. Errors in medical care typically are blamed on individuals and occasionally on system problems. Teams and teamwork, although a major part of the medical delivery system, usually are not included in training, outcome measures, or rigorous quality improvement efforts. This article outlines issues involved in the analysis of medical errors as they relate to measures of individual and team performance and introduces concepts related to emergency care teamwork and team training. Through analogy with aviation analysis of errors and corrective training medical care similarly is being analyzed and error-reduction efforts studied and implemented. The potential benefit of teamwork training for EMS personnel, including air medical crews, is discussed.

  20. Wavefront error sensing

    NASA Technical Reports Server (NTRS)

    Tubbs, Eldred F.

    1986-01-01

    A two-step approach to wavefront sensing for the Large Deployable Reflector (LDR) was examined as part of an effort to define wavefront-sensing requirements and to determine particular areas for more detailed study. A Hartmann test for coarse alignment, particularly segment tilt, seems feasible if LDR can operate at 5 microns or less. The direct measurement of the point spread function in the diffraction limited region may be a way to determine piston error, but this can only be answered by a detailed software model of the optical system. The question of suitable astronomical sources for either test must also be addressed.

  1. Detecting Errors in Programs

    DTIC Science & Technology

    1979-02-01

    unclassified c. THIS PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 DETECTING ERRORS IN PROGRAMS* Lloyd D. Fosdick...from a finite set of tests [35,36]a Recently Howden [37] presented a result showing that for a particular class of Lindenmayer grammars it was possible...Diego, CA. 37o Howden, W.E.: Lindenmayer grammars and symbolic testing. Information Processing Letters 7,1 (Jano 1978), 36-39. 38~ Fitzsimmons, Ann

  2. Reducing Diagnostic Errors through Effective Communication: Harnessing the Power of Information Technology

    PubMed Central

    Naik, Aanand Dinkar; Rao, Raghuram; Petersen, Laura Ann

    2008-01-01

    Diagnostic errors are poorly understood despite being a frequent cause of medical errors. Recent efforts have aimed to advance the "basic science" of diagnostic error prevention by tracing errors to their most basic origins. Although a refined theory of diagnostic error prevention will take years to formulate, we focus on communication breakdown, a major contributor to diagnostic errors and an increasingly recognized preventable factor in medical mishaps. We describe a comprehensive framework that integrates the potential sources of communication breakdowns within the diagnostic process and identifies vulnerable steps in the diagnostic process where various types of communication breakdowns can precipitate error. We then discuss potential information technology-based interventions that may have efficacy in preventing one or more forms of these breakdowns. These possible intervention strategies include using new technologies to enhance communication between health providers and health systems, improve patient involvement, and facilitate management of information in the medical record. PMID:18373151

  3. Speech Errors, Error Correction, and the Construction of Discourse.

    ERIC Educational Resources Information Center

    Linde, Charlotte

    Speech errors have been used in the construction of production models of the phonological and semantic components of language, and for a model of interactional processes. Errors also provide insight into how speakers plan discourse and syntactic structure,. Different types of discourse exhibit different types of error. The present data are taken…

  4. Interruption Practice Reduces Errors

    DTIC Science & Technology

    2014-01-01

    miscalculations ( Koppel et al., 2005). There are cases where the user (medical staff, MD, Nurse, etc.) forgets to complete the PCS which is to log off or...hl=en&lr=&id=JInZiZnUyicC&oi =fnd&pg=PA1&dq=to+err+is+human+institute+of+medicine&ots =hpKPPDbGR6&sig=7lEcQexi3gK6AHxHXgkwzsp7dJQ Koppel , R., Metlay

  5. Errors in CT colonography.

    PubMed

    Trilisky, Igor; Ward, Emily; Dachman, Abraham H

    2015-10-01

    CT colonography (CTC) is a colorectal cancer screening modality which is becoming more widely implemented and has shown polyp detection rates comparable to those of optical colonoscopy. CTC has the potential to improve population screening rates due to its minimal invasiveness, no sedation requirement, potential for reduced cathartic examination, faster patient throughput, and cost-effectiveness. Proper implementation of a CTC screening program requires careful attention to numerous factors, including patient preparation prior to the examination, the technical aspects of image acquisition, and post-processing of the acquired data. A CTC workstation with dedicated software is required with integrated CTC-specific display features. Many workstations include computer-aided detection software which is designed to decrease errors of detection by detecting and displaying polyp-candidates to the reader for evaluation. There are several pitfalls which may result in false-negative and false-positive reader interpretation. We present an overview of the potential errors in CTC and a systematic approach to avoid them.

  6. Inborn Errors in Immunity

    PubMed Central

    Lionakis, M.S.; Hajishengallis, G.

    2015-01-01

    In recent years, the study of genetic defects arising from inborn errors in immunity has resulted in the discovery of new genes involved in the function of the immune system and in the elucidation of the roles of known genes whose importance was previously unappreciated. With the recent explosion in the field of genomics and the increasing number of genetic defects identified, the study of naturally occurring mutations has become a powerful tool for gaining mechanistic insight into the functions of the human immune system. In this concise perspective, we discuss emerging evidence that inborn errors in immunity constitute real-life models that are indispensable both for the in-depth understanding of human biology and for obtaining critical insights into common diseases, such as those affecting oral health. In the field of oral mucosal immunity, through the study of patients with select gene disruptions, the interleukin-17 (IL-17) pathway has emerged as a critical element in oral immune surveillance and susceptibility to inflammatory disease, with disruptions in the IL-17 axis now strongly linked to mucosal fungal susceptibility, whereas overactivation of the same pathways is linked to inflammatory periodontitis. PMID:25900229

  7. Error Analysis in Mathematics Education.

    ERIC Educational Resources Information Center

    Rittner, Max

    1982-01-01

    The article reviews the development of mathematics error analysis as a means of diagnosing students' cognitive reasoning. Errors specific to addition, subtraction, multiplication, and division are described, and suggestions for remediation are provided. (CL)

  8. Skylab water balance error analysis

    NASA Technical Reports Server (NTRS)

    Leonard, J. I.

    1977-01-01

    Estimates of the precision of the net water balance were obtained for the entire Skylab preflight and inflight phases as well as for the first two weeks of flight. Quantitative estimates of both total sampling errors and instrumentation errors were obtained. It was shown that measurement error is minimal in comparison to biological variability and little can be gained from improvement in analytical accuracy. In addition, a propagation of error analysis demonstrated that total water balance error could be accounted for almost entirely by the errors associated with body mass changes. Errors due to interaction between terms in the water balance equation (covariances) represented less than 10% of the total error. Overall, the analysis provides evidence that daily measurements of body water changes obtained from the indirect balance technique are reasonable, precise, and relaible. The method is not biased toward net retention or loss.

  9. Prospective issues for error detection.

    PubMed

    Blavier, Adélaïde; Rouy, Emmanuelle; Nyssen, Anne-Sophie; de Keyser, Véronique

    2005-06-10

    From the literature on error detection, the authors select several concepts relating error detection mechanisms and prospective memory features. They emphasize the central role of intention in the classification of the errors into slips/lapses/mistakes, in the error handling process and in the usual distinction between action-based and outcome-based detection. Intention is again a core concept in their investigation of prospective memory theory, where they point out the contribution of intention retrievals, intention persistence and output monitoring in the individual's possibilities for detecting their errors. The involvement of the frontal lobes in prospective memory and in error detection is also analysed. From the chronology of a prospective memory task, the authors finally suggest a model for error detection also accounting for neural mechanisms highlighted by studies on error-related brain activity.

  10. Error Sources in Asteroid Astrometry

    NASA Technical Reports Server (NTRS)

    Owen, William M., Jr.

    2000-01-01

    Asteroid astrometry, like any other scientific measurement process, is subject to both random and systematic errors, not all of which are under the observer's control. To design an astrometric observing program or to improve an existing one requires knowledge of the various sources of error, how different errors affect one's results, and how various errors may be minimized by careful observation or data reduction techniques.

  11. Error and safety in primary care: no clear boundaries.

    PubMed

    Jacobson, Lionel; Elwyn, Glyn; Robling, Michael; Jones, Rhiannedd Tudor

    2003-06-01

    This paper examines the notions of adverse events, error, critical incidents and safety from the specific viewpoint of primary care. We conclude that each term can be defined, but existing work which we reviewed uses many of the terms interchangeably. We recognise that trying to access medical error objectively within primary care can be problematic. Regardless of definitions, reflection on critical incidents, adverse events or other notable events is important, but requires time and resources to be conducted effectively.

  12. Conflict in fiduciary duty involving health care error reporting.

    PubMed

    Stewart, Della Wyatt

    2002-08-01

    Fiduciary duty is the responsibility to act in the best interest of a person or organization. Health care professionals, as well as managers in other industries, struggle continuously with the dilemma of whether or not to admit potentially harmful mistakes to unsuspecting customers and patients. Limited public disclosure of medical errors will benefit health care staff, organizational executives, and patients if specific policies are enacted to improve error prevention.

  13. Error Patterns in Problem Solving.

    ERIC Educational Resources Information Center

    Babbitt, Beatrice C.

    Although many common problem-solving errors within the realm of school mathematics have been previously identified, a compilation of such errors is not readily available within learning disabilities textbooks, mathematics education texts, or teacher's manuals for school mathematics texts. Using data on error frequencies drawn from both the Fourth…

  14. Measurement Error. For Good Measure....

    ERIC Educational Resources Information Center

    Johnson, Stephen; Dulaney, Chuck; Banks, Karen

    No test, however well designed, can measure a student's true achievement because numerous factors interfere with the ability to measure achievement. These factors are sources of measurement error, and the goal in creating tests is to have as little measurement error as possible. Error can result from the test design, factors related to individual…

  15. Uncertainty quantification and error analysis

    SciTech Connect

    Higdon, Dave M; Anderson, Mark C; Habib, Salman; Klein, Richard; Berliner, Mark; Covey, Curt; Ghattas, Omar; Graziani, Carlo; Seager, Mark; Sefcik, Joseph; Stark, Philip

    2010-01-01

    UQ studies all sources of error and uncertainty, including: systematic and stochastic measurement error; ignorance; limitations of theoretical models; limitations of numerical representations of those models; limitations on the accuracy and reliability of computations, approximations, and algorithms; and human error. A more precise definition for UQ is suggested below.

  16. Feature Referenced Error Correction Apparatus.

    DTIC Science & Technology

    A feature referenced error correction apparatus utilizing the multiple images of the interstage level image format to compensate for positional...images and by the generation of an error correction signal in response to the sub-frame registration errors. (Author)

  17. On typographical errors.

    PubMed

    Hamilton, J W

    1993-09-01

    In his overall assessment of parapraxes in 1901, Freud included typographical mistakes but did not elaborate on or study this subject nor did he have anything to say about it in his later writings. This paper lists textual errors from a variety of current literary sources and explores the dynamic importance of their execution and the failure to make necessary corrections during the editorial process. While there has been a deemphasis of the role of unconscious determinants in the genesis of all slips as a result of recent findings in cognitive psychology, the examples offered suggest that, with respect to motivation, lapses in compulsivity contribute to their original commission while thematic compliance and voyeuristic issues are important in their not being discovered prior to publication.

  18. Oral Medication

    MedlinePlus

    ... Size: A A A Listen En Español Oral Medication The first treatment for type 2 diabetes blood ... new — even over-the-counter items. Explore: Oral Medication How Much Do Oral Medications Cost? Save money ...

  19. 2010 drug packaging review: identifying problems to prevent errors.

    PubMed

    2011-06-01

    Prescrire's analyses showed that the quality of drug packaging in 2010 still left much to be desired. Potentially dangerous packaging remains a significant problem: unclear labelling is source of medication errors; dosing devices for some psychotropic drugs create a risk of overdose; child-proof caps are often lacking; and too many patient information leaflets are misleading or difficult to understand. Everything that is needed for safe drug packaging is available; it is now up to regulatory agencies and drug companies to act responsibly. In the meantime, health professionals can help their patients by learning to identify the pitfalls of drug packaging and providing safe information to help prevent medication errors.

  20. Strategies for improving patient safety: linking task type to error type.

    PubMed

    Mattox, Elizabeth Andersson

    2012-02-01

    This article reviews the connection between task type (skill based, rule based and knowledge based) and human error. Using real-life examples, each task type and error type is described in detail. Understanding how task type contributes to medical error enhances the ability of nurses to make meaningful changes in health care systems. Through error wisdom, nurses and other health care providers can more successfully navigate health care delivery and ultimately provide safer care to patients.

  1. Rapid mapping of volumetric errors

    SciTech Connect

    Krulewich, D.; Hale, L.; Yordy, D.

    1995-09-13

    This paper describes a relatively inexpensive, fast, and easy to execute approach to mapping the volumetric errors of a machine tool, coordinate measuring machine, or robot. An error map is used to characterize a machine or to improve its accuracy by compensating for the systematic errors. The method consists of three steps: (1) modeling the relationship between the volumetric error and the current state of the machine; (2) acquiring error data based on length measurements throughout the work volume; and (3) optimizing the model to the particular machine.

  2. Register file soft error recovery

    DOEpatents

    Fleischer, Bruce M.; Fox, Thomas W.; Wait, Charles D.; Muff, Adam J.; Watson, III, Alfred T.

    2013-10-15

    Register file soft error recovery including a system that includes a first register file and a second register file that mirrors the first register file. The system also includes an arithmetic pipeline for receiving data read from the first register file, and error detection circuitry to detect whether the data read from the first register file includes corrupted data. The system further includes error recovery circuitry to insert an error recovery instruction into the arithmetic pipeline in response to detecting the corrupted data. The inserted error recovery instruction replaces the corrupted data in the first register file with a copy of the data from the second register file.

  3. Data Sharing and the Cancer Moonshot

    Cancer.gov

    Health data enthusiasts of all stripes were in Washington, D.C., today for Health Datapalooza. NCI's Dr. Warren Kibbe explains that this annual event explores a topic that is central to NCI’s efforts against cancer: creating knowledge from data.

  4. The data sharing advantage in astrophysics

    NASA Astrophysics Data System (ADS)

    Dorch, Bertil F.; Drachen, Thea M.; Ellegaard, Ole

    2016-10-01

    We present here evidence for the existence of a citation advantage within astrophysics for papers that link to data. Using simple measures based on publication data from NASA Astrophysics Data System we find a citation advantage for papers with links to data receiving on the average significantly more citations per paper than papers without links to data. Furthermore, using INSPEC and Web of Science databases we investigate whether either papers of an experimental or theoretical nature display different citation behavior.

  5. Secure data sharing in public cloud

    NASA Astrophysics Data System (ADS)

    Venkataramana, Kanaparti; Naveen Kumar, R.; Tatekalva, Sandhya; Padmavathamma, M.

    2012-04-01

    Secure multi-party protocols have been proposed for entities (organizations or individuals) that don't fully trust each other to share sensitive information. Many types of entities need to collect, analyze, and disseminate data rapidly and accurately, without exposing sensitive information to unauthorized or untrusted parties. Solutions based on secure multiparty computation guarantee privacy and correctness, at an extra communication (too costly in communication to be practical) and computation cost. The high overhead motivates us to extend this SMC to cloud environment which provides large computation and communication capacity which makes SMC to be used between multiple clouds (i.e., it may between private or public or hybrid clouds).Cloud may encompass many high capacity servers which acts as a hosts which participate in computation (IaaS and PaaS) for final result, which is controlled by Cloud Trusted Authority (CTA) for secret sharing within the cloud. The communication between two clouds is controlled by High Level Trusted Authority (HLTA) which is one of the hosts in a cloud which provides MgaaS (Management as a Service). Due to high risk for security in clouds, HLTA generates and distributes public keys and private keys by using Carmichael-R-Prime- RSA algorithm for exchange of private data in SMC between itself and clouds. In cloud, CTA creates Group key for Secure communication between the hosts in cloud based on keys sent by HLTA for exchange of Intermediate values and shares for computation of final result. Since this scheme is extended to be used in clouds( due to high availability and scalability to increase computation power) it is possible to implement SMC practically for privacy preserving in data mining at low cost for the clients.

  6. Interoperable Data Sharing for Diverse Scientific Disciplines

    NASA Astrophysics Data System (ADS)

    Hughes, John S.; Crichton, Daniel; Martinez, Santa; Law, Emily; Hardman, Sean

    2016-04-01

    For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. To capture this shared understanding, we have developed a knowledge representation framework using ontologies and ISO level archive and metadata registry reference models. This framework provides multi-level governance, evolves independent of implementation technologies, and promotes agile development, namely adaptive planning, evolutionary development, early delivery, continuous improvement, and rapid and flexible response to change. The knowledge representation framework is populated through knowledge acquisition from discipline experts. It is also extended to meet specific discipline requirements. The result is a formalized and rigorous knowledge base that addresses data representation, integrity, provenance, context, quantity, and their relationships within the community. The contents of the knowledge base is translated and written to files in appropriate formats to configure system software and services, provide user documentation, validate ingested data, and support data analytics. This presentation will provide an overview of the framework, present the Planetary Data System's PDS4 as a use case that has been adopted by the international planetary science community, describe how the framework is being applied to other disciplines, and share some important lessons learned.

  7. Privacy-preserving heterogeneous health data sharing

    PubMed Central

    Mohammed, Noman; Jiang, Xiaoqian; Chen, Rui; Fung, Benjamin C M; Ohno-Machado, Lucila

    2013-01-01

    Objective Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among existing privacy models, ε-differential privacy provides one of the strongest privacy guarantees and makes no assumptions about an adversary's background knowledge. All existing solutions that ensure ε-differential privacy handle the problem of disclosing relational and set-valued data in a privacy-preserving manner separately. In this paper, we propose an algorithm that considers both relational and set-valued data in differentially private disclosure of healthcare data. Methods The proposed approach makes a simple yet fundamental switch in differentially private algorithm design: instead of listing all possible records (ie, a contingency table) for noise addition, records are generalized before noise addition. The algorithm first generalizes the raw data in a probabilistic way, and then adds noise to guarantee ε-differential privacy. Results We showed that the disclosed data could be used effectively to build a decision tree induction classifier. Experimental results demonstrated that the proposed algorithm is scalable and performs better than existing solutions for classification analysis. Limitation The resulting utility may degrade when the output domain size is very large, making it potentially inappropriate to generate synthetic data for large health databases. Conclusions Unlike existing techniques, the proposed algorithm allows the disclosure of health data containing both relational and set-valued data in a differentially private manner, and can retain essential information for discriminative analysis. PMID:23242630

  8. The backstage work of data sharing

    SciTech Connect

    Kervin, Karina E.; Cook, Robert B.; Michener, William K.

    2014-11-09

    Conventional wisdom makes the suggestion that there are benefits to the creation of shared repositories of scientific data. Funding agencies require that the data from sponsored projects be shared publicly, but individual researchers often see little personal benefit to offset the work of creating easily sharable data. These conflicting forces have led to the emergence of a new role to support researchers: data managers. This paper identifies key differences between the socio-technical context of data managers and other "human infrastructure" roles articulated previously in Computer Supported Cooperative Work (CSCW) literature and summarizes the challenges that data managers face when accepting data for archival and reuse. Finally, while data managers' work is critical for advancing science and science policy, their work is often invisible and under-appreciated since it takes place behind the scenes.

  9. Open access data sharing in genomic research.

    PubMed

    Pereira, Stacey; Gibbs, Richard A; McGuire, Amy L

    2014-08-29

    The current emphasis on broad sharing of human genomic data generated in research in order to maximize utility and public benefit is a significant legacy of the Human Genome Project. Concerns about privacy and discrimination have led to policy responses that restrict access to genomic data as the means for protecting research participants. Our research and experience show, however, that a considerable number of research participants agree to open access sharing of their genomic data when given the choice. General policies that limit access to all genomic data fail to respect the autonomy of these participants and, at the same time, unnecessarily limit the utility of the data. We advocate instead a more balanced approach that allows for individual choice and encourages informed decision making, while protecting against the misuse of genomic data through enhanced legislation.

  10. [Errors in wound management].

    PubMed

    Filipović, Marinko; Novinscak, Tomislav

    2014-10-01

    Chronic ulcers have adverse effects on the patient quality of life and productivity, thus posing financial burden upon the healthcare system. Chronic wound healing is a complex process resulting from the interaction of the patient general health status, wound related factors, medical personnel skill and competence, and therapy related products. In clinical practice, considerable improvement has been made in the treatment of chronic wounds, which is evident in the reduced rate of the severe forms of chronic wounds in outpatient clinics. However, in spite of all the modern approaches, efforts invested by medical personnel and agents available for wound care, numerous problems are still encountered in daily practice. Most frequently, the problems arise from inappropriate education, of young personnel in particular, absence of multidisciplinary approach, and inadequate communication among the personnel directly involved in wound treatment. To perceive them more clearly, the potential problems or complications in the management of chronic wounds can be classified into the following groups: problems mostly related to the use of wound coverage and other etiology related specificities of wound treatment; problems related to incompatibility of the agents used in wound treatment; and problems arising from failure to ensure aseptic and antiseptic performance conditions.

  11. Towards error-free interaction.

    PubMed

    Tsoneva, Tsvetomira; Bieger, Jordi; Garcia-Molina, Gary

    2010-01-01

    Human-machine interaction (HMI) relies on pat- tern recognition algorithms that are not perfect. To improve the performance and usability of these systems we can utilize the neural mechanisms in the human brain dealing with error awareness. This study aims at designing a practical error detection algorithm using electroencephalogram signals that can be integrated in an HMI system. Thus, real-time operation, customization, and operation convenience are important. We address these requirements in an experimental framework simulating machine errors. Our results confirm the presence of brain potentials related to processing of machine errors. These are used to implement an error detection algorithm emphasizing the differences in error processing on a per subject basis. The proposed algorithm uses the individual best bipolar combination of electrode sites and requires short calibration. The single-trial error detection performance on six subjects, characterized by the area under the ROC curve ranges from 0.75 to 0.98.

  12. Improved Error Thresholds for Measurement-Free Error Correction

    NASA Astrophysics Data System (ADS)

    Crow, Daniel; Joynt, Robert; Saffman, M.

    2016-09-01

    Motivated by limitations and capabilities of neutral atom qubits, we examine whether measurement-free error correction can produce practical error thresholds. We show that this can be achieved by extracting redundant syndrome information, giving our procedure extra fault tolerance and eliminating the need for ancilla verification. The procedure is particularly favorable when multiqubit gates are available for the correction step. Simulations of the bit-flip, Bacon-Shor, and Steane codes indicate that coherent error correction can produce threshold error rates that are on the order of 10-3 to 10-4—comparable with or better than measurement-based values, and much better than previous results for other coherent error correction schemes. This indicates that coherent error correction is worthy of serious consideration for achieving protected logical qubits.

  13. Improved Error Thresholds for Measurement-Free Error Correction.

    PubMed

    Crow, Daniel; Joynt, Robert; Saffman, M

    2016-09-23

    Motivated by limitations and capabilities of neutral atom qubits, we examine whether measurement-free error correction can produce practical error thresholds. We show that this can be achieved by extracting redundant syndrome information, giving our procedure extra fault tolerance and eliminating the need for ancilla verification. The procedure is particularly favorable when multiqubit gates are available for the correction step. Simulations of the bit-flip, Bacon-Shor, and Steane codes indicate that coherent error correction can produce threshold error rates that are on the order of 10^{-3} to 10^{-4}-comparable with or better than measurement-based values, and much better than previous results for other coherent error correction schemes. This indicates that coherent error correction is worthy of serious consideration for achieving protected logical qubits.

  14. Medication counselling: physicians' perspective.

    PubMed

    Bonnerup, Dorthe Krogsgaard; Lisby, Marianne; Eskildsen, Anette Gjetrup; Saedder, Eva Aggerholm; Nielsen, Lars Peter

    2013-12-01

    Medication reviews have the potential to lower the incidence of prescribing errors. To benefit from a medication review, the prescriber must adhere to medication counselling. Adherence rates vary from 39 to 100%. The aim of this study was to examine counselling-naive hospital physicians' perspectives and demands to medication counselling as well as study factors that might increase adherence to the counselling. The study was conducted as a questionnaire survey among physicians at Aarhus University Hospital, Denmark. The questionnaire was developed based on focus group interviews and literature search, and was pilot-tested among 30 physicians before being sent to 669 physicians. The questionnaire consisted of 35 items divided into four categories: attitudes (19 items), behaviours (3 items), assessment (8 items) and demographics (5 items). The response rate was 60% (400/669). Respondents were employed at psychiatric, medical or surgical departments. Eighty-five per cent of respondents agreed that patients would benefit of an extra medication review, and 72% agreed that there was a need for external medication counselling. The most important factor that could increase adherence was the clinical relevance of the counselling as 78% rated it of major importance. The most favoured method for receiving counselling was via the electronic patient record.

  15. Medication Errors: Cut Your Risk with These Tips

    MedlinePlus

    ... your own home and in doctors' offices, hospitals, pharmacies and senior living facilities. Knowing what you're ... accurate dose, use an oral syringe (available at pharmacies) or the dose cup that came with the ...

  16. Forgive me: medical error and the poetics of forgiveness.

    PubMed

    Becker, Daniel; May, Natalie; Plews-Ogan, Margaret

    2012-01-01

    Alexander Pope, in his Essay on Criticism, proposes that "To err is human; to forgive divine." This essay considers the latter half of that proposition and includes quotes from doctors who participated in a study of learning and growing through adversity. Doctors, like poets, find it necessary to put their moral and psychological dilemma into words. Language shapes the experience and offers a means of partial resolution.

  17. Contour Error Map Algorithm

    NASA Technical Reports Server (NTRS)

    Merceret, Francis; Lane, John; Immer, Christopher; Case, Jonathan; Manobianco, John

    2005-01-01

    The contour error map (CEM) algorithm and the software that implements the algorithm are means of quantifying correlations between sets of time-varying data that are binarized and registered on spatial grids. The present version of the software is intended for use in evaluating numerical weather forecasts against observational sea-breeze data. In cases in which observational data come from off-grid stations, it is necessary to preprocess the observational data to transform them into gridded data. First, the wind direction is gridded and binarized so that D(i,j;n) is the input to CEM based on forecast data and d(i,j;n) is the input to CEM based on gridded observational data. Here, i and j are spatial indices representing 1.25-km intervals along the west-to-east and south-to-north directions, respectively; and n is a time index representing 5-minute intervals. A binary value of D or d = 0 corresponds to an offshore wind, whereas a value of D or d = 1 corresponds to an onshore wind. CEM includes two notable subalgorithms: One identifies and verifies sea-breeze boundaries; the other, which can be invoked optionally, performs an image-erosion function for the purpose of attempting to eliminate river-breeze contributions in the wind fields.

  18. Comparison of analytical error and sampling error for contaminated soil.

    PubMed

    Gustavsson, Björn; Luthbom, Karin; Lagerkvist, Anders

    2006-11-16

    Investigation of soil from contaminated sites requires several sample handling steps that, most likely, will induce uncertainties in the sample. The theory of sampling describes seven sampling errors that can be calculated, estimated or discussed in order to get an idea of the size of the sampling uncertainties. With the aim of comparing the size of the analytical error to the total sampling error, these seven errors were applied, estimated and discussed, to a case study of a contaminated site. The manageable errors were summarized, showing a range of three orders of magnitudes between the examples. The comparisons show that the quotient between the total sampling error and the analytical error is larger than 20 in most calculation examples. Exceptions were samples taken in hot spots, where some components of the total sampling error get small and the analytical error gets large in comparison. Low concentration of contaminant, small extracted sample size and large particles in the sample contribute to the extent of uncertainty.

  19. Dopamine reward prediction error coding.

    PubMed

    Schultz, Wolfram

    2016-03-01

    Reward prediction errors consist of the differences between received and predicted rewards. They are crucial for basic forms of learning about rewards and make us strive for more rewards-an evolutionary beneficial trait. Most dopamine neurons in the midbrain of humans, monkeys, and rodents signal a reward prediction error; they are activated by more reward than predicted (positive prediction error), remain at baseline activity for fully predicted rewards, and show depressed activity with less reward than predicted (negative prediction error). The dopamine signal increases nonlinearly with reward value and codes formal economic utility. Drugs of addiction generate, hijack, and amplify the dopamine reward signal and induce exaggerated, uncontrolled dopamine effects on neuronal plasticity. The striatum, amygdala, and frontal cortex also show reward prediction error coding, but only in subpopulations of neurons. Thus, the important concept of reward prediction errors is implemented in neuronal hardware.

  20. Dopamine reward prediction error coding

    PubMed Central

    Schultz, Wolfram

    2016-01-01

    Reward prediction errors consist of the differences between received and predicted rewards. They are crucial for basic forms of learning about rewards and make us strive for more rewards—an evolutionary beneficial trait. Most dopamine neurons in the midbrain of humans, monkeys, and rodents signal a reward prediction error; they are activated by more reward than predicted (positive prediction error), remain at baseline activity for fully predicted rewards, and show depressed activity with less reward than predicted (negative prediction error). The dopamine signal increases nonlinearly with reward value and codes formal economic utility. Drugs of addiction generate, hijack, and amplify the dopamine reward signal and induce exaggerated, uncontrolled dopamine effects on neuronal plasticity. The striatum, amygdala, and frontal cortex also show reward prediction error coding, but only in subpopulations of neurons. Thus, the important concept of reward prediction errors is implemented in neuronal hardware. PMID:27069377

  1. Processor register error correction management

    SciTech Connect

    Bose, Pradip; Cher, Chen-Yong; Gupta, Meeta S.

    2016-12-27

    Processor register protection management is disclosed. In embodiments, a method of processor register protection management can include determining a sensitive logical register for executable code generated by a compiler, generating an error-correction table identifying the sensitive logical register, and storing the error-correction table in a memory accessible by a processor. The processor can be configured to generate a duplicate register of the sensitive logical register identified by the error-correction table.

  2. Medical Data Transmission Using Cell Phone Networks

    NASA Astrophysics Data System (ADS)

    Voos, J.; Centeno, C.; Riva, G.; Zerbini, C.; Gonzalez, E.

    2011-12-01

    A big challenge in telemedicine systems is related to have the technical requirements needed for a successful implementation in remote locations where the available hardware and communication infrastructure is not adequate for a good medical data transmission. Despite of the wide standards availability, methodologies, applications and systems integration facilities in telemedicine, in many cases the implementation requirements are not achievable to allow the system execution in remote areas of our country. Therefore, this paper presents an alternative for the messages transmission related to medical studies using the cellular network and the standard HL7 V3 [1] for data modeling. The messages are transmitted to a web server and stored in a centralized database which allows data sharing with other specialists.

  3. Trends in Health Information Technology Safety: From Technology-Induced Errors to Current Approaches for Ensuring Technology Safety

    PubMed Central

    2013-01-01

    Objectives Health information technology (HIT) research findings suggested that new healthcare technologies could reduce some types of medical errors while at the same time introducing classes of medical errors (i.e., technology-induced errors). Technology-induced errors have their origins in HIT, and/or HIT contribute to their occurrence. The objective of this paper is to review current trends in the published literature on HIT safety. Methods A review and synthesis of the medical and life sciences literature focusing on the area of technology-induced error was conducted. Results There were four main trends in the literature on technology-induced error. The following areas were addressed in the literature: definitions of technology-induced errors; models, frameworks and evidence for understanding how technology-induced errors occur; a discussion of monitoring; and methods for preventing and learning about technology-induced errors. Conclusions The literature focusing on technology-induced errors continues to grow. Research has focused on the defining what an error is, models and frameworks used to understand these new types of errors, monitoring of such errors and methods that can be used to prevent these errors. More research will be needed to better understand and mitigate these types of errors. PMID:23882411

  4. Compensating For GPS Ephemeris Error

    NASA Technical Reports Server (NTRS)

    Wu, Jiun-Tsong

    1992-01-01

    Method of computing position of user station receiving signals from Global Positioning System (GPS) of navigational satellites compensates for most of GPS ephemeris error. Present method enables user station to reduce error in its computed position substantially. User station must have access to two or more reference stations at precisely known positions several hundred kilometers apart and must be in neighborhood of reference stations. Based on fact that when GPS data used to compute baseline between reference station and user station, vector error in computed baseline is proportional ephemeris error and length of baseline.

  5. A theory of human error

    NASA Technical Reports Server (NTRS)

    Mcruer, D. T.; Clement, W. F.; Allen, R. W.

    1980-01-01

    Human error, a significant contributing factor in a very high proportion of civil transport, general aviation, and rotorcraft accidents is investigated. Correction of the sources of human error requires that one attempt to reconstruct underlying and contributing causes of error from the circumstantial causes cited in official investigative reports. A validated analytical theory of the input-output behavior of human operators involving manual control, communication, supervisory, and monitoring tasks which are relevant to aviation operations is presented. This theory of behavior, both appropriate and inappropriate, provides an insightful basis for investigating, classifying, and quantifying the needed cause-effect relationships governing propagation of human error.

  6. Confidence limits and their errors

    SciTech Connect

    Rajendran Raja

    2002-03-22

    Confidence limits are common place in physics analysis. Great care must be taken in their calculation and use especially in cases of limited statistics. We introduce the concept of statistical errors of confidence limits and argue that not only should limits be calculated but also their errors in order to represent the results of the analysis to the fullest. We show that comparison of two different limits from two different experiments becomes easier when their errors are also quoted. Use of errors of confidence limits will lead to abatement of the debate on which method is best suited to calculate confidence limits.

  7. Online Deviation Detection for Medical Processes

    PubMed Central

    Christov, Stefan C.; Avrunin, George S.; Clarke, Lori A.

    2014-01-01

    Human errors are a major concern in many medical processes. To help address this problem, we are investigating an approach for automatically detecting when performers of a medical process deviate from the acceptable ways of performing that process as specified by a detailed process model. Such deviations could represent errors and, thus, detecting and reporting deviations as they occur could help catch errors before harm is done. In this paper, we identify important issues related to the feasibility of the proposed approach and empirically evaluate the approach for two medical procedures, chemotherapy and blood transfusion. For the evaluation, we use the process models to generate sample process executions that we then seed with synthetic errors. The process models describe the coordination of activities of different process performers in normal, as well as in exceptional situations. The evaluation results suggest that the proposed approach could be applied in clinical settings to help catch errors before harm is done. PMID:25954343

  8. Measurement Error and Equating Error in Power Analysis

    ERIC Educational Resources Information Center

    Phillips, Gary W.; Jiang, Tao

    2016-01-01

    Power analysis is a fundamental prerequisite for conducting scientific research. Without power analysis the researcher has no way of knowing whether the sample size is large enough to detect the effect he or she is looking for. This paper demonstrates how psychometric factors such as measurement error and equating error affect the power of…

  9. Correcting numerical integration errors caused by small aliasing errors

    SciTech Connect

    Smallwood, D.O.

    1997-11-01

    Small sampling errors can have a large effect on numerically integrated waveforms. An example is the integration of acceleration to compute velocity and displacement waveforms. These large integration errors complicate checking the suitability of the acceleration waveform for reproduction on shakers. For waveforms typically used for shaker reproduction, the errors become significant when the frequency content of the waveform spans a large frequency range. It is shown that these errors are essentially independent of the numerical integration method used, and are caused by small aliasing errors from the frequency components near the Nyquist frequency. A method to repair the integrated waveforms is presented. The method involves using a model of the acceleration error, and fitting this model to the acceleration, velocity, and displacement waveforms to force the waveforms to fit the assumed initial and final values. The correction is then subtracted from the acceleration before integration. The method is effective where the errors are isolated to a small section of the time history. It is shown that the common method to repair these errors using a high pass filter is sometimes ineffective for this class of problem.

  10. Anxiety and Error Monitoring: Increased Error Sensitivity or Altered Expectations?

    ERIC Educational Resources Information Center

    Compton, Rebecca J.; Carp, Joshua; Chaddock, Laura; Fineman, Stephanie L.; Quandt, Lorna C.; Ratliff, Jeffrey B.

    2007-01-01

    This study tested the prediction that the error-related negativity (ERN), a physiological measure of error monitoring, would be enhanced in anxious individuals, particularly in conditions with threatening cues. Participants made gender judgments about faces whose expressions were either happy, angry, or neutral. Replicating prior studies, midline…

  11. Error studies for SNS Linac. Part 1: Transverse errors

    SciTech Connect

    Crandall, K.R.

    1998-12-31

    The SNS linac consist of a radio-frequency quadrupole (RFQ), a drift-tube linac (DTL), a coupled-cavity drift-tube linac (CCDTL) and a coupled-cavity linac (CCL). The RFQ and DTL are operated at 402.5 MHz; the CCDTL and CCL are operated at 805 MHz. Between the RFQ and DTL is a medium-energy beam-transport system (MEBT). This error study is concerned with the DTL, CCDTL and CCL, and each will be analyzed separately. In fact, the CCL is divided into two sections, and each of these will be analyzed separately. The types of errors considered here are those that affect the transverse characteristics of the beam. The errors that cause the beam center to be displaced from the linac axis are quad displacements and quad tilts. The errors that cause mismatches are quad gradient errors and quad rotations (roll).

  12. Error begat error: design error analysis and prevention in social infrastructure projects.

    PubMed

    Love, Peter E D; Lopez, Robert; Edwards, David J; Goh, Yang M

    2012-09-01

    Design errors contribute significantly to cost and schedule growth in social infrastructure projects and to engineering failures, which can result in accidents and loss of life. Despite considerable research that has addressed their error causation in construction projects they still remain prevalent. This paper identifies the underlying conditions that contribute to design errors in social infrastructure projects (e.g. hospitals, education, law and order type buildings). A systemic model of error causation is propagated and subsequently used to develop a learning framework for design error prevention. The research suggests that a multitude of strategies should be adopted in congruence to prevent design errors from occurring and so ensure that safety and project performance are ameliorated.

  13. Medical database security evaluation.

    PubMed

    Pangalos, G J

    1993-01-01

    Users of medical information systems need confidence in the security of the system they are using. They also need a method to evaluate and compare its security capabilities. Every system has its own requirements for maintaining confidentiality, integrity and availability. In order to meet these requirements a number of security functions must be specified covering areas such as access control, auditing, error recovery, etc. Appropriate confidence in these functions is also required. The 'trust' in trusted computer systems rests on their ability to prove that their secure mechanisms work as advertised and cannot be disabled or diverted. The general framework and requirements for medical database security and a number of parameters of the evaluation problem are presented and discussed. The problem of database security evaluation is then discussed, and a number of specific proposals are presented, based on a number of existing medical database security systems.

  14. Children's Scale Errors with Tools

    ERIC Educational Resources Information Center

    Casler, Krista; Eshleman, Angelica; Greene, Kimberly; Terziyan, Treysi

    2011-01-01

    Children sometimes make "scale errors," attempting to interact with tiny object replicas as though they were full size. Here, we demonstrate that instrumental tools provide special insight into the origins of scale errors and, moreover, into the broader nature of children's purpose-guided reasoning and behavior with objects. In Study 1, 1.5- to…

  15. Dual Processing and Diagnostic Errors

    ERIC Educational Resources Information Center

    Norman, Geoff

    2009-01-01

    In this paper, I review evidence from two theories in psychology relevant to diagnosis and diagnostic errors. "Dual Process" theories of thinking, frequently mentioned with respect to diagnostic error, propose that categorization decisions can be made with either a fast, unconscious, contextual process called System 1 or a slow, analytical,…

  16. Explaining Errors in Children's Questions

    ERIC Educational Resources Information Center

    Rowland, Caroline F.

    2007-01-01

    The ability to explain the occurrence of errors in children's speech is an essential component of successful theories of language acquisition. The present study tested some generativist and constructivist predictions about error on the questions produced by ten English-learning children between 2 and 5 years of age. The analyses demonstrated that,…

  17. Error Estimates for Mixed Methods.

    DTIC Science & Technology

    1979-03-01

    This paper presents abstract error estimates for mixed methods for the approximate solution of elliptic boundary value problems. These estimates are...then applied to obtain quasi-optimal error estimates in the usual Sobolev norms for four examples: three mixed methods for the biharmonic problem and a mixed method for 2nd order elliptic problems. (Author)

  18. Operational Interventions to Maintenance Error

    NASA Technical Reports Server (NTRS)

    Kanki, Barbara G.; Walter, Diane; Dulchinos, VIcki

    1997-01-01

    A significant proportion of aviation accidents and incidents are known to be tied to human error. However, research of flight operational errors has shown that so-called pilot error often involves a variety of human factors issues and not a simple lack of individual technical skills. In aircraft maintenance operations, there is similar concern that maintenance errors which may lead to incidents and accidents are related to a large variety of human factors issues. Although maintenance error data and research are limited, industry initiatives involving human factors training in maintenance have become increasingly accepted as one type of maintenance error intervention. Conscientious efforts have been made in re-inventing the team7 concept for maintenance operations and in tailoring programs to fit the needs of technical opeRAtions. Nevertheless, there remains a dual challenge: 1) to develop human factors interventions which are directly supported by reliable human error data, and 2) to integrate human factors concepts into the procedures and practices of everyday technical tasks. In this paper, we describe several varieties of human factors interventions and focus on two specific alternatives which target problems related to procedures and practices; namely, 1) structured on-the-job training and 2) procedure re-design. We hope to demonstrate that the key to leveraging the impact of these solutions comes from focused interventions; that is, interventions which are derived from a clear understanding of specific maintenance errors, their operational context and human factors components.

  19. Error Correction, Revision, and Learning

    ERIC Educational Resources Information Center

    Truscott, John; Hsu, Angela Yi-ping

    2008-01-01

    Previous research has shown that corrective feedback on an assignment helps learners reduce their errors on that assignment during the revision process. Does this finding constitute evidence that learning resulted from the feedback? Differing answers play an important role in the ongoing debate over the effectiveness of error correction,…

  20. Human Error: A Concept Analysis

    NASA Technical Reports Server (NTRS)

    Hansen, Frederick D.

    2007-01-01

    Human error is the subject of research in almost every industry and profession of our times. This term is part of our daily language and intuitively understood by most people however, it would be premature to assume that everyone's understanding of human error s the same. For example, human error is used to describe the outcome or consequence of human action, the causal factor of an accident, deliberate violations,a nd the actual action taken by a human being. As a result, researchers rarely agree on the either a specific definition or how to prevent human error. The purpose of this article is to explore the specific concept of human error using Concept Analysis as described by Walker and Avant (1995). The concept of human error is examined as currently used in the literature of a variety of industries and professions. Defining attributes and examples of model, borderline, and contrary cases are described. The antecedents and consequences of human error are also discussed and a definition of human error is offered.