Literature DB >> 14728195

Clinical decision support provided within physician order entry systems: a systematic review of features effective for changing clinician behavior.

Kensaku Kawamoto1, David F Lobach.   

Abstract

Computerized physician order entry (CPOE) systems represent an important tool for providing clinical decision support. In undertaking this systematic review, our objective was to identify the features of CPOE-based clinical decision support systems (CDSSs) most effective at modifying clinician behavior. For this review, two independent reviewers systematically identified randomized controlled trials that evaluated the effectiveness of CPOE-based CDSSs in changing clinician behavior. Furthermore, each included study was assessed for the presence of 14 CDSS features. We screened 10,023 citations and included 11 studies. Of the 10 studies comparing a CPOE-based CDSS intervention against a non-CDSS control group, 7 reported a significant desired change in professional practice. Moreover, meta-regression analysis revealed that automatic provision of the decision support was strongly associated with improved professional practice (adjusted odds ratio, 23.72; 95% confidence interval, 1.75-infiniti). Thus, we conclude that automatic provision of decision support is a critical feature of successful CPOE-based CDSS interventions.

Mesh:

Year:  2003        PMID: 14728195      PMCID: PMC1480005     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  18 in total

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Journal:  Proc AMIA Symp       Date:  1999

Review 2.  How good is the quality of health care in the United States?

Authors:  M A Schuster; E A McGlynn; R H Brook
Journal:  Milbank Q       Date:  1998       Impact factor: 4.911

3.  Automated evidence-based critiquing of orders for abdominal radiographs: impact on utilization and appropriateness.

Authors:  L H Harpole; R Khorasani; J Fiskio; G J Kuperman; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1997 Nov-Dec       Impact factor: 4.497

4.  A randomized controlled trial of a computer-based physician workstation in an outpatient setting: implementation barriers to outcome evaluation.

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Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

5.  A randomized trial of "corollary orders" to prevent errors of omission.

Authors:  J M Overhage; W M Tierney; X H Zhou; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

6.  Computer predictions of abnormal test results. Effects on outpatient testing.

Authors:  W M Tierney; C J McDonald; S L Hui; D K Martin
Journal:  JAMA       Date:  1988-02-26       Impact factor: 56.272

Review 7.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

8.  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

9.  Computer reminders to implement preventive care guidelines for hospitalized patients.

Authors:  J M Overhage; W M Tierney; C J McDonald
Journal:  Arch Intern Med       Date:  1996-07-22

10.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization.

Authors:  W M Tierney; M E Miller; J M Overhage; C J McDonald
Journal:  JAMA       Date:  1993-01-20       Impact factor: 56.272

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  29 in total

Review 1.  A review on systematic reviews of health information system studies.

Authors:  Francis Lau; Craig Kuziemsky; Morgan Price; Jesse Gardner
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

2.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

3.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

Review 4.  Applying an organizational framework for health information technology to alerts.

Authors:  Colene M Byrne; Eric C Pan; Cynthia Russell; Scott Finley; Helga E Rippen
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

5.  The perils of meta-regression to identify clinical decision support system success factors.

Authors:  Christopher L Fillmore; Casey A Rommel; Brandon M Welch; Mingyuan Zhang; Kensaku Kawamoto
Journal:  J Biomed Inform       Date:  2015-05-18       Impact factor: 6.317

Review 6.  Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.

Authors:  Kristen Miller; Danielle Mosby; Muge Capan; Rebecca Kowalski; Raj Ratwani; Yaman Noaiseh; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

7.  Noninterruptive Clinical Decision Support Decreases Ordering of Respiratory Viral Panels during Influenza Season.

Authors:  Cameron Escovedo; Douglas Bell; Eric Cheng; Omai Garner; Alyssa Ziman; Sitaram Vangala; Prabhu Gounder; Carlos Lerner
Journal:  Appl Clin Inform       Date:  2020-04-29       Impact factor: 2.342

Review 8.  The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.

Authors:  Kristen Miller; Muge Capan; Danielle Weldon; Yaman Noaiseh; Rebecca Kowalski; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  Int J Med Inform       Date:  2018-05-21       Impact factor: 4.046

Review 9.  Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials.

Authors:  Brent Mollon; Jaron Chong; Anne M Holbrook; Melani Sung; Lehana Thabane; Gary Foster
Journal:  BMC Med Inform Decis Mak       Date:  2009-02-11       Impact factor: 2.796

10.  Towards computerizing intensive care sedation guidelines: design of a rule-based architecture for automated execution of clinical guidelines.

Authors:  Femke Ongenae; Femke De Backere; Kristof Steurbaut; Kirsten Colpaert; Wannes Kerckhove; Johan Decruyenaere; Filip De Turck
Journal:  BMC Med Inform Decis Mak       Date:  2010-01-18       Impact factor: 2.796

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