AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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AMIA Annu Symp Proc · Nov 2008
Interruptions in workflow prior to the implementation of a Critical Care Information System (CCIS) in two intensive care settings.
Interruptions in clinician workflow are believed to contribute to preventable medical errors, and ICUs have been noted as frequent sites of these errors. Emerging research suggests that a CCIS may assist in reducing or preventing interruptions. However, there is a paucity of research that has empirically investigated these assertions. As part of a longitudinal study, results of the frequency and nature of interruptions in workflow before the implementation of a CCIS will be reported.
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AMIA Annu Symp Proc · Nov 2008
Medical exceptions to decision support: a tool to identify provider misconceptions and direct academic detailing.
Clinical decision support can be used to capture the medical exceptions that justify deviations from guideline-based care. Peer review of this data is a potentially valuable and efficient means of identifying physician misconceptions or gaps in the medical knowledge base. Our early experience performing peer review on medical exceptions recorded through computerized point-of-care alerts shows that most medical exceptions were legitimate. Twelve percent of exceptions were inappropriate and 10% involved areas of considerable medical uncertainty.
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Errors in clinical research databases are common but relatively little is known about their characteristics and optimal detection and prevention strategies. We have analyzed data from several clinical research databases at a single academic medical center to assess frequency, distribution and features of data entry errors. Error rates detected by the double-entry method ranged from 2.3 to 26.9%. ⋯ Error detection based on data constraint failure significantly underestimated total error rates and constraint-based alarms integrated into the database appear to prevent only a small fraction of errors. Many errors were non-random, organized in special and cognitive clusters, and some could potentially affect the interpretation of the study results. Further investigation is needed into the methods for detection and prevention of data errors in research.