Electronically Screening Discharge Summaries for Adverse Medical Events
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چکیده
منابع مشابه
Electronically Screening Discharge Summaries for Adverse Medical Events
Design: A cohort study including 424 randomly selected admissions to the medical services of an academic medical center was conducted between January and July 2000. The authors developed a computerized screening tool that searched free-text discharge summaries for trigger words representing possible adverse events. Measurements: All discharge summaries with a trigger word present underwent char...
متن کاملResearch Paper: Electronically Screening Discharge Summaries for Adverse Medical Events
OBJECTIVE Detecting adverse events is pivotal for measuring and improving medical safety, yet current techniques discourage routine screening. The authors hypothesized that discharge summaries would include information on adverse events, and they developed and evaluated an electronic method for screening medical discharge summaries for adverse events. DESIGN A cohort study including 424 rando...
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OBJECTIVE Clinical records contain significant medical information that can be useful to researchers in various disciplines. However, these records also contain personal health information (PHI) whose presence limits the use of the records outside of hospitals. The goal of de-identification is to remove all PHI from clinical records. This is a challenging task because many records contain forei...
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BACKGROUND Adverse events (AEs) are adverse outcomes caused by medical care. Several studies have indicated that a substantial number of patients experience AEs before or during hospitalization. However, few data describe AEs after hospital discharge. We determined the incidence, severity, preventability and ameliorability of AEs in patients discharged from the general internal medicine service...
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Detection and prevention of adverse events and, in particular, adverse drug events (ADEs), is an important problem in health care today. We describe the implementation and evaluation of four variations on the simple Bayes model for identifying ADE-related discharge summaries. Our results show that these probabilistic techniques achieve an ROC curve area of up to 0.77 in correctly determining wh...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2002
ISSN: 1067-5027,1527-974X
DOI: 10.1197/jamia.m1226