Literature DB >> 9794315

Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

D L Hunt1, R B Haynes, S E Hanna, K Smith.   

Abstract

CONTEXT: Many computer software developers and vendors claim that their systems can directly improve clinical decisions. As for other health care interventions, such claims should be based on careful trials that assess their effects on clinical performance and, preferably, patient outcomes.
OBJECTIVE: To systematically review controlled clinical trials assessing the effects of computer-based clinical decision support systems (CDSSs) on physician performance and patient outcomes. DATA SOURCES: We updated earlier reviews covering 1974 to 1992 by searching the MEDLINE, EMBASE, INSPEC, SCISEARCH, and the Cochrane Library bibliographic databases from 1992 to March 1998. Reference lists and conference proceedings were reviewed and evaluators of CDSSs were contacted. STUDY SELECTION: Studies were included if they involved the use of a CDSS in a clinical setting by a health care practitioner and assessed the effects of the system prospectively with a concurrent control. DATA EXTRACTION: The validity of each relevant study (scored from 0-10) was evaluated in duplicate. Data on setting, subjects, computer systems, and outcomes were abstracted and a power analysis was done on studies with negative findings. DATA SYNTHESIS: A total of 68 controlled trials met our criteria, 40 of which were published since 1992. Quality scores ranged from 2 to 10, with more recent trials rating higher (mean, 7.7) than earlier studies (mean, 6.4) (P<.001). Effects on physician performance were assessed in 65 studies and 43 found a benefit (66%). These included 9 of 15 studies on drug dosing systems, 1 of 5 studies on diagnostic aids, 14 of 19 preventive care systems, and 19 of 26 studies evaluating CDSSs for other medical care. Six of 14 studies assessing patient outcomes found a benefit. Of the remaining 8 studies, only 3 had a power of greater than 80% to detect a clinically important effect.
CONCLUSIONS: Published studies of CDSSs are increasing rapidly, and their quality is improving. The CDSSs can enhance clinical performance for drug dosing, preventive care, and other aspects of medical care, but not convincingly for diagnosis. The effects of CDSSs on patient outcomes have been insufficiently studied.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9794315     DOI: 10.1001/jama.280.15.1339

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  399 in total

1.  Influence of case and physician characteristics on perceptions of decision support systems.

Authors:  E S Berner; R S Maisiak
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Effects of a decision support system on physicians' diagnostic performance.

Authors:  E S Berner; R S Maisiak; C G Cobbs; O D Taunton
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

3.  A process to maintain the quality of a computerized knowledge base.

Authors:  G J Kuperman; J M Fiskio; A Karson
Journal:  Proc AMIA Symp       Date:  1999

4.  An integrated decision support system for diagnosing and managing patients with community-acquired pneumonia.

Authors:  D Aronsky; P J Haug
Journal:  Proc AMIA Symp       Date:  1999

5.  Practitioners of evidence based care. Not all clinicians need to appraise evidence from scratch but all need some skills.

Authors:  G H Guyatt; M O Meade; R Z Jaeschke; D J Cook; R B Haynes
Journal:  BMJ       Date:  2000-04-08

6.  Educational instruction on a hospital information system for medical students during their surgical rotations.

Authors:  R Patterson; P Harasym
Journal:  J Am Med Inform Assoc       Date:  2001 Mar-Apr       Impact factor: 4.497

7.  Designing An electronic patient record with multiple real time decision support modules for managing diseases

Authors: 
Journal:  Proc AMIA Symp       Date:  2000

8.  Clinical governance in primary care: knowledge and information for clinical governance.

Authors:  A McColl; M Roland
Journal:  BMJ       Date:  2000-10-07

9.  Clinical decision support systems for the practice of evidence-based medicine.

Authors:  I Sim; P Gorman; R A Greenes; R B Haynes; B Kaplan; H Lehmann; P C Tang
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

10.  Design and analysis of controlled trials in naturally clustered environments: implications for medical informatics.

Authors:  Jen-Hsiang Chuang; George Hripcsak; Daniel F Heitjan
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.