Literature DB >> 15802481

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

Richard M Reichley1, Terry L Seaton, Ervina Resetar, Scott T Micek, Karen L Scott, Victoria J Fraser, W Claiborne Dunagan, Thomas C Bailey.   

Abstract

A commercial rule base (Cerner Multum) was used to identify medication orders exceeding recommended dosage limits at five hospitals within BJC HealthCare, an integrated health care system. During initial testing, clinical pharmacists determined that there was an excessive number of nuisance and clinically insignificant alerts, with an overall alert rate of 9.2%. A method for customizing the commercial rule base was implemented to increase rule specificity for problematic rules. The system was subsequently deployed at two facilities and achieved alert rates of less than 1%. Pharmacists screened these alerts and contacted ordering physicians in 21% of cases. Physicians made therapeutic changes in response to 38% of alerts presented to them. By applying simple techniques to customize rules, commercial rule bases can be used to rapidly deploy a safety net to screen drug orders for excessive dosages, while preserving the rule architecture for later implementations of more finely tuned clinical decision support.

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Substances:

Year:  2005        PMID: 15802481      PMCID: PMC1174882          DOI: 10.1197/jamia.M1783

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


  11 in total

1.  Preventable medication errors: identifying and eliminating serious drug interactions.

Authors:  J F Peterson; D W Bates
Journal:  J Am Pharm Assoc (Wash)       Date:  2001 Mar-Apr

Review 2.  Increasing the success of physician order entry through human factors engineering.

Authors:  Wendy Chan
Journal:  J Healthc Inf Manag       Date:  2002

3.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

4.  Using computer technology to detect, measure, and prevent adverse drug events.

Authors:  Reed M Gardner; R Scott Evans
Journal:  J Am Med Inform Assoc       Date:  2004 Nov-Dec       Impact factor: 4.497

5.  Implementation of physician order entry: user satisfaction and self-reported usage patterns.

Authors:  F Lee; J M Teich; C D Spurr; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

6.  The impact of computerized physician order entry on medication error prevention.

Authors:  D W Bates; J M Teich; J Lee; D Seger; G J Kuperman; N Ma'Luf; D Boyle; L Leape
Journal:  J Am Med Inform Assoc       Date:  1999 Jul-Aug       Impact factor: 4.497

7.  Automated system for identifying potential dosage problems at a large university hospital.

Authors:  S T McMullin; R M Reichley; M G Kahn; W C Dunagan; T C Bailey
Journal:  Am J Health Syst Pharm       Date:  1997-03-01       Impact factor: 2.637

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.  Impact of a Web-based clinical information system on cisapride drug interactions and patient safety.

Authors:  S T McMullin; R M Reichley; L A Watson; S A Steib; M E Frisse; T C Bailey
Journal:  Arch Intern Med       Date:  1999-09-27

10.  The epidemiology of prescribing errors: the potential impact of computerized prescriber order entry.

Authors:  Anne Bobb; Kristine Gleason; Marla Husch; Joe Feinglass; Paul R Yarnold; Gary A Noskin
Journal:  Arch Intern Med       Date:  2004-04-12
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  18 in total

1.  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

2.  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

3.  Improving acceptance of computerized prescribing alerts in ambulatory care.

Authors:  Nidhi R Shah; Andrew C Seger; Diane L Seger; Julie M Fiskio; Gilad J Kuperman; Barry Blumenfeld; Elaine G Recklet; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

4.  Clinical decision support and electronic prescribing systems: a time for responsible thought and action.

Authors:  Randolph A Miller; Reed M Gardner; Kevin B Johnson; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

5.  Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations.

Authors:  Gilad J Kuperman; Richard M Reichley; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

6.  Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system.

Authors:  Allie D Woods; David P Mulherin; Allen J Flynn; James G Stevenson; Christopher R Zimmerman; Bruce W Chaffee
Journal:  J Am Med Inform Assoc       Date:  2013-11-19       Impact factor: 4.497

7.  Turning off frequently overridden drug alerts: limited opportunities for doing it safely.

Authors:  Heleen van der Sijs; Jos Aarts; Teun van Gelder; Marc Berg; Arnold Vulto
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

8.  Computerized surveillance for adverse drug events in a pediatric hospital.

Authors:  Peter M Kilbridge; Laura A Noirot; Richard M Reichley; Kathleen M Berchelmann; Cortney Schneider; Kevin M Heard; Miranda Nelson; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

9.  Decision Support Alerts for Medication Ordering in a Computerized Provider Order Entry (CPOE) System: A systematic approach to decrease alerts.

Authors:  M A Del Beccaro; R Villanueva; K M Knudson; E M Harvey; J M Langle; W Paul
Journal:  Appl Clin Inform       Date:  2010-09-29       Impact factor: 2.342

10.  Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.

Authors:  Christopher A Longhurst; Jonathan P Palma; Lisa M Grisim; Eric Widen; Melanie Chan; Paul J Sharek
Journal:  J Healthc Inf Manag       Date:  2013
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