Literature DB >> 1807594

Development of a computerized adverse drug event monitor.

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

Abstract

Adverse events during drug therapy are receiving renewed attention. Some adverse drug events (ADEs) are identified only after the widespread clinical use of a drug. The Food and Drug Administration advocates post-marketing surveillance systems to provide early warnings of previously undetected ADEs. The identification of ADEs by U.S. hospitals is now required by the Joint Commission on Accreditation of Healthcare Organizations. We developed a series of computer programs and data files on the HELP System to help identify ADEs. The HELP System monitors laboratory test results, drug orders, and data entered through a computerized ADE reporting program. A nurse or pharmacist verifies computer alerts of possible ADEs. The computerized system identified 401 ADEs during the first year of use compared to 9 by voluntary reporting methods during the previous year (p less than 0.001). This paper describes the development and early use of the computerized ADE surveillance system.

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Mesh:

Year:  1991        PMID: 1807594      PMCID: PMC2247488     

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


  16 in total

1.  Adverse drug reaction program using pharmacist and nurse monitors.

Authors:  L J Miwa; R J Randall
Journal:  Hosp Formul       Date:  1986-11

2.  Expanding roles of hospital epidemiology: pharmacoepidemiology.

Authors:  J P Burke; H H Tilson; R Platt
Journal:  Infect Control Hosp Epidemiol       Date:  1989-06       Impact factor: 3.254

3.  Use of standardized screening procedures to identify adverse drug reactions.

Authors:  K E Koch
Journal:  Am J Hosp Pharm       Date:  1990-06

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Authors:  G A Faich
Journal:  N Engl J Med       Date:  1986-06-12       Impact factor: 91.245

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Authors:  H Jick; O S Miettinen; S Shapiro; G P Lewis; V Siskind; D Slone
Journal:  JAMA       Date:  1970-08-31       Impact factor: 56.272

6.  The HELP system.

Authors:  T A Pryor; R M Gardner; P D Clayton; H R Warner
Journal:  J Med Syst       Date:  1983-04       Impact factor: 4.460

7.  A method for estimating the probability of adverse drug reactions.

Authors:  C A Naranjo; U Busto; E M Sellers; P Sandor; I Ruiz; E A Roberts; E Janecek; C Domecq; D J Greenblatt
Journal:  Clin Pharmacol Ther       Date:  1981-08       Impact factor: 6.875

8.  Drug-related deaths among medical inpatients.

Authors:  J Porter; H Jick
Journal:  JAMA       Date:  1977-02-28       Impact factor: 56.272

9.  Iatrogenic illness on a general medical service at a university hospital.

Authors:  K Steel; P M Gertman; C Crescenzi; J Anderson
Journal:  N Engl J Med       Date:  1981-03-12       Impact factor: 91.245

10.  Multidisciplinary adverse drug reaction surveillance program.

Authors:  T R Prosser; P L Kamysz
Journal:  Am J Hosp Pharm       Date:  1990-06
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  26 in total

1.  Computerized survelliance of adverse drug reactions in hospital: pilot study.

Authors:  T Azaz-Livshits; M Levy; B Sadan; M Shalit; G Geisslinger; K Brune
Journal:  Br J Clin Pharmacol       Date:  1998-03       Impact factor: 4.335

Review 2.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

Review 3.  Pharmacovigilance in pediatrics: current challenges.

Authors:  Antje Neubert
Journal:  Paediatr Drugs       Date:  2012-02-01       Impact factor: 3.022

4.  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

5.  Effect of CPOE user interface design on user-initiated access to educational and patient information during clinical care.

Authors:  S Trent Rosenbloom; Antoine J Geissbuhler; William D Dupont; Dario A Giuse; Douglas A Talbert; William M Tierney; W Dale Plummer; William W Stead; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

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.  Validation of an electronic surveillance system for acute lung injury.

Authors:  Vitaly Herasevich; Murat Yilmaz; Hasrat Khan; Rolf D Hubmayr; Ognjen Gajic
Journal:  Intensive Care Med       Date:  2009-03-12       Impact factor: 17.440

8.  Assessing the performance characteristics of signals used by a clinical event monitor to detect adverse drug reactions in the nursing home.

Authors:  Steven M Handler; Joseph T Hanlon; Subashan Perera; Melissa I Saul; Douglas B Fridsma; Shyam Visweswaran; Stephanie A Studenski; Yazan F Roumani; Nicholas G Castle; David A Nace; Michael J Becich
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

9.  Health innovation for patient safety improvement.

Authors:  Renukha Sellappans; Siew Siang Chua; Nur Amani Ahmad Tajuddin; Pauline Siew Mei Lai
Journal:  Australas Med J       Date:  2013-01-31

10.  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

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