Literature DB >> 1482913

Prevention of adverse drug events through computerized surveillance.

R S Evans1, S L Pestotnik, D C Classen, S B Bass, J P Burke.   

Abstract

Adverse drug events (ADEs) are a serious health problem and are the leading adverse event experienced by hospitalized patients. Numerous hospitals have used different methods to improve the reporting of ADEs but few have undertaken studies aimed at the prevention of ADEs. We found that computerized ADE surveillance identified significantly more ADEs than our previous voluntary reporting method. Moreover, the computerized ADE surveillance system created a database of ADEs which allowed us to analyze the ADEs and design methods for prevention. We found that computer alerts of previously known drug allergies generated when drugs were ordered significantly reduced the number of type B ADEs, 56 vs 8 (p < 0.001). In addition, we found that the timely surveillance of ADEs combined with physician notification reduced the number of severe ADEs, 41 vs 12 (p < 0.001). Initial analysis of the ADE database has shown that on average patients with type B ADEs are hospitalized longer (17 vs 14 days) and have larger hospitalization costs ($30,617 vs $23,256) than patients with type A ADEs. Patients with severe ADEs also are hospitalized longer (20 vs 13 days) and have larger hospitalization costs ($38,007 vs $22,474) than patients with moderate ADEs. This indicates that the prevention and early treatment of ADEs can reduce the length of hospitalization and result in a considerable cost savings to the hospital.

Entities:  

Mesh:

Year:  1992        PMID: 1482913      PMCID: PMC2248123     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  16 in total

1.  Development of a computerized adverse drug event monitor.

Authors:  R S Evans; S L Pestotnik; D C Classen; S B Bass; R L Menlove; R M Gardner; J P Burke
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

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  12 in total

1.  Notification of real-time clinical alerts generated by pharmacy expert systems.

Authors:  J E Miller; R M Reichley; L A McNamee; S A Steib; T C Bailey
Journal:  Proc AMIA Symp       Date:  1999

2.  Electronically screening discharge summaries for adverse medical events.

Authors:  Harvey J Murff; Alan J Forster; Josh F Peterson; Julie M Fiskio; Heather L Heiman; David W Bates
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3.  Decision support and safety of clinical environments.

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Journal:  Qual Saf Health Care       Date:  2002-03

Review 4.  The economics of health information technology in medication management: a systematic review of economic evaluations.

Authors:  Daria O'Reilly; Jean-Eric Tarride; Ron Goeree; Cynthia Lokker; K Ann McKibbon
Journal:  J Am Med Inform Assoc       Date:  2011-10-07       Impact factor: 4.497

5.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

Review 6.  A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting.

Authors:  Steven M Handler; Richard L Altman; Subashan Perera; Joseph T Hanlon; Stephanie A Studenski; James E Bost; Melissa I Saul; Douglas B Fridsma
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

7.  Computerized detection of adverse drug reactions in the medical intensive care unit.

Authors:  Sandra L Kane-Gill; Shyam Visweswaran; Melissa I Saul; An-Kwok Ian Wong; Louis E Penrod; Steven M Handler
Journal:  Int J Med Inform       Date:  2011-05-31       Impact factor: 4.046

8.  Comparing the effectiveness of computerized adverse drug event monitoring systems to enhance clinical decision support for hospitalized patients.

Authors:  G N Petratos; Y Kim; R S Evans; S D Williams; R M Gardner
Journal:  Appl Clin Inform       Date:  2010-09-01       Impact factor: 2.342

9.  Potential identifiability and preventability of adverse events using information systems.

Authors:  D W Bates; A C O'Neil; D Boyle; J Teich; G M Chertow; A L Komaroff; T A Brennan
Journal:  J Am Med Inform Assoc       Date:  1994 Sep-Oct       Impact factor: 4.497

10.  Decision support for concurrent utilization review using a HELP-embedded expert system.

Authors:  B D Nelson; R M Gardner
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993
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