Literature DB >> 16221941

Improving acceptance of computerized prescribing alerts in ambulatory care.

Nidhi R Shah1, Andrew C Seger, Diane L Seger, Julie M Fiskio, Gilad J Kuperman, Barry Blumenfeld, Elaine G Recklet, David W Bates, Tejal K Gandhi.   

Abstract

Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. Our objective was to improve clinician acceptance of drug alerts by designing a selective set of drug alerts for the ambulatory care setting and minimizing workflow disruptions by designating only critical to high-severity alerts to be interruptive to clinician workflow. The alerts were presented to clinicians using computerized prescribing within an electronic medical record in 31 Boston-area practices. There were 18,115 drug alerts generated during our six-month study period. Of these, 12,933 (71%) were noninterruptive and 5,182 (29%) interruptive. Of the 5,182 interruptive alerts, 67% were accepted. Reasons for overrides varied for each drug alert category and provided potentially useful information for future alert improvement. These data suggest that it is possible to design computerized prescribing decision support with high rates of alert recommendation acceptance by clinicians.

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Year:  2005        PMID: 16221941      PMCID: PMC1380196          DOI: 10.1197/jamia.M1868

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  19 in total

1.  Characteristics and override rates of order checks in a practitioner order entry system.

Authors:  Thomas H Payne; W Paul Nichol; Patty Hoey; James Savarino
Journal:  Proc AMIA Symp       Date:  2002

2.  Effects of computerized physician order entry on prescribing practices.

Authors:  J M Teich; P R Merchia; J L Schmiz; G J Kuperman; C D Spurr; D W Bates
Journal:  Arch Intern Med       Date:  2000-10-09

3.  General practitioners' perceptions of the pharmaceutical decision-support tools in their prescribing software.

Authors:  Michael D Ahearn; Stephen J Kerr
Journal:  Med J Aust       Date:  2003-07-07       Impact factor: 7.738

4.  Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.

Authors:  David W Bates; Gilad J Kuperman; Samuel Wang; Tejal Gandhi; Anne Kittler; Lynn Volk; Cynthia Spurr; Ramin Khorasani; Milenko Tanasijevic; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

5.  Implementing a commercial rule base as a medication order safety net.

Authors:  Richard M Reichley; Terry L Seaton; Ervina Resetar; Scott T Micek; Karen L Scott; Victoria J Fraser; W Claiborne Dunagan; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

Review 6.  Patient safety and computerized medication ordering at Brigham and Women's Hospital.

Authors:  G J Kuperman; J M Teich; T K Gandhi; D W Bates
Journal:  Jt Comm J Qual Improv       Date:  2001-10

7.  Guided medication dosing for inpatients with renal insufficiency.

Authors:  G M Chertow; J Lee; G J Kuperman; E Burdick; J Horsky; D L Seger; R Lee; A Mekala; J Song; A L Komaroff; D W Bates
Journal:  JAMA       Date:  2001-12-12       Impact factor: 56.272

8.  Improving recognition of drug interactions: benefits and barriers to using automated drug alerts.

Authors:  Peter A Glassman; Barbara Simon; Pamela Belperio; Andrew Lanto
Journal:  Med Care       Date:  2002-12       Impact factor: 2.983

9.  Effective drug-allergy checking: methodological and operational issues.

Authors:  Gilad J Kuperman; Tejal K Gandhi; David W Bates
Journal:  J Biomed Inform       Date:  2003 Feb-Apr       Impact factor: 6.317

10.  Physicians' decisions to override computerized drug alerts in primary care.

Authors:  Saul N Weingart; Maria Toth; Daniel Z Sands; Mark D Aronson; Roger B Davis; Russell S Phillips
Journal:  Arch Intern Med       Date:  2003-11-24
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  145 in total

1.  Triaging patients at risk of influenza using a patient portal.

Authors:  S Trent Rosenbloom; Titus L Daniels; Thomas R Talbot; Taylor McClain; Robert Hennes; Shane Stenner; Sue Muse; Jim Jirjis; Gretchen Purcell Jackson
Journal:  J Am Med Inform Assoc       Date:  2011-12-01       Impact factor: 4.497

2.  High-priority drug-drug interactions for use in electronic health records.

Authors:  Shobha Phansalkar; Amrita A Desai; Douglas Bell; Eileen Yoshida; John Doole; Melissa Czochanski; Blackford Middleton; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2012-04-26       Impact factor: 4.497

3.  Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA.

Authors:  Marianne Zachariah; Shobha Phansalkar; Hanna M Seidling; Pamela M Neri; Kathrin M Cresswell; Jon Duke; Meryl Bloomrosen; Lynn A Volk; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2011-09-21       Impact factor: 4.497

4.  Failure to utilize functions of an electronic prescribing system and the subsequent generation of 'technically preventable' computerized alerts.

Authors:  Melissa T Baysari; Margaret H Reckmann; Ling Li; Richard O Day; Johanna I Westbrook
Journal:  J Am Med Inform Assoc       Date:  2012-06-26       Impact factor: 4.497

5.  Preventable drug-related morbidity in community pharmacy: commentary on the implications for practice and policy of a novel intervention.

Authors:  Mara Pereira Guerreiro; Ana Paula Martins; Judith Anne Cantrill
Journal:  Int J Clin Pharm       Date:  2012-07-10

6.  Impact of the drug-drug interaction database SFINX on prevalence of potentially serious drug-drug interactions in primary health care.

Authors:  M L Andersson; Y Böttiger; J D Lindh; B Wettermark; B Eiermann
Journal:  Eur J Clin Pharmacol       Date:  2012-07-01       Impact factor: 2.953

Review 7.  A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems.

Authors:  Shobha Phansalkar; Judy Edworthy; Elizabeth Hellier; Diane L Seger; Angela Schedlbauer; Anthony J Avery; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

8.  Ability of pharmacy clinical decision-support software to alert users about clinically important drug-drug interactions.

Authors:  Kim R Saverno; Lisa E Hines; Terri L Warholak; Amy J Grizzle; Lauren Babits; Courtney Clark; Ann M Taylor; Daniel C Malone
Journal:  J Am Med Inform Assoc       Date:  2010-12-03       Impact factor: 4.497

9.  Making electronic prescribing alerts more effective: scenario-based experimental study in junior doctors.

Authors:  Gregory P T Scott; Priya Shah; Jeremy C Wyatt; Boikanyo Makubate; Frank W Cross
Journal:  J Am Med Inform Assoc       Date:  2011-08-11       Impact factor: 4.497

10.  Tiering drug-drug interaction alerts by severity increases compliance rates.

Authors:  Marilyn D Paterno; Saverio M Maviglia; Paul N Gorman; Diane L Seger; Eileen Yoshida; Andrew C Seger; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

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