Literature DB >> 20172991

Developing and implementing clinical decision support for use in a computerized prescriber-order-entry system.

Bruce W Chaffee1, Christopher R Zimmerman.   

Abstract

PURPOSE: The development and implementation of clinical decision support (CDS) in a computerized prescriber-order-entry (CPOE) system in a large, tertiary care, academic health care system are described.
SUMMARY: CDS is generally considered to be a key factor in promoting successful system adoption, patient safety, and positive patient outcomes for CPOE implementation. The impact of CDS depends on the methods used by the institution to implement CPOE using both passive and active system design features. At the University of Michigan Health System, interdisciplinary project teams were assembled to plan, build, and implement the CDS component of CPOE using several underlying fundamental principles to ensure the usability and safety of the system, including standardization of system configuration, workflow design, and prioritization of the number and types of interruptive alerts that would be deployed. Passive CDS rules were established for nomenclature, links to information, relevant results, and order sets. Active CDS rules were developed for noninterruptive alerts (patient list alert flags and form-called medical logic modules) and interruptive alerts, including alerts for allergies, dose checks, drug-drug interactions, drug-food interactions, and drug-disease interactions. The institution provided sufficient staffing and institutional governance to implement and sustain CDS.
CONCLUSION: Through an interdisciplinary collaboration, an academic health care system planned, designed, and implemented institution-specific, CPOE-integrated CDS to improve clinical efficiency and facilitate the compliance with regulatory policies and guidelines.

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Year:  2010        PMID: 20172991     DOI: 10.2146/ajhp090153

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  15 in total

1.  Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

Authors:  Kai Zheng; Kathleen Fear; Bruce W Chaffee; Christopher R Zimmerman; Edward M Karls; Justin D Gatwood; James G Stevenson; Mark D Pearlman
Journal:  J Am Med Inform Assoc       Date:  2011-04-12       Impact factor: 4.497

Review 2.  Mind the Gap. A systematic review to identify usability and safety challenges and practices during electronic health record implementation.

Authors:  Raj Ratwani; Terry Fairbanks; Erica Savage; Katie Adams; Michael Wittie; Edna Boone; Andrew Hayden; Janey Barnes; Zach Hettinger; Andrew Gettinger
Journal:  Appl Clin Inform       Date:  2016-11-16       Impact factor: 2.342

3.  Enhancements in healthcare information technology systems: customizing vendor-supplied clinical decision support for a high-risk patient population.

Authors:  Ruchi Tiwari; Demetra S Tsapepas; Jaclyn T Powell; Spencer T Martin
Journal:  J Am Med Inform Assoc       Date:  2012-07-19       Impact factor: 4.497

Review 4.  Computerized clinical decision support for medication prescribing and utilization in pediatrics.

Authors:  Jeremy S Stultz; Milap C Nahata
Journal:  J Am Med Inform Assoc       Date:  2012-07-19       Impact factor: 4.497

5.  Systems that prevent unwanted represcription of drugs withdrawn because of adverse drug events: a systematic review.

Authors:  Carolien M J van der Linden; Paul A F Jansen; René J E Grouls; Rob J van Marum; Marianne A J W Verberne; Lieke M A Aussems; Toine C G Egberts; Erik H M Korsten
Journal:  Ther Adv Drug Saf       Date:  2013-04

6.  Risk evaluation and mitigation strategy programs in solid organ transplantation: the promises of information technology.

Authors:  Demetra S Tsapepas; Jaclyn T McKeen; Spencer T Martin; Jennifer K Walker-McDermott; Alex Yang; Jamie Hirsch; Sumit Mohan; Ruchi Tiwari
Journal:  J Am Med Inform Assoc       Date:  2014-02-26       Impact factor: 4.497

7.  Cost analysis before and after implementation of a computerized physician order entry order form for enoxaparin.

Authors:  Rebecca S Pettit; Christopher R Zimmerman; Cesar Alaniz; Michael P Dorsch
Journal:  P T       Date:  2012-02

8.  Effects of clinical decision support on initial dosing and monitoring of tobramycin and amikacin.

Authors:  Zachary L Cox; Cori L Nelsen; Lemuel R Waitman; Jacob A McCoy; Josh F Peterson
Journal:  Am J Health Syst Pharm       Date:  2011-04-01       Impact factor: 2.637

9.  Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.

Authors:  Emily Beth Devine; Chia-Ju Lee; Casey L Overby; Neil Abernethy; Jeannine McCune; Joe W Smith; Peter Tarczy-Hornoch
Journal:  Int J Med Inform       Date:  2014-05-09       Impact factor: 4.046

10.  Recommendations for selecting drug-drug interactions for clinical decision support.

Authors:  Hugh Tilson; Lisa E Hines; Gerald McEvoy; David M Weinstein; Philip D Hansten; Karl Matuszewski; Marianne le Comte; Stefanie Higby-Baker; Joseph T Hanlon; Lynn Pezzullo; Kathleen Vieson; Amy L Helwig; Shiew-Mei Huang; Anthony Perre; David W Bates; John Poikonen; Michael A Wittie; Amy J Grizzle; Mary Brown; Daniel C Malone
Journal:  Am J Health Syst Pharm       Date:  2016-04-15       Impact factor: 2.637

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