Literature DB >> 8321133

Response of general practitioners to computer-generated critiques of hypertension therapy.

J van der Lei1, E van der Does, A J Man in 't Veld, M A Musen, J H van Bemmel.   

Abstract

We recently have shown that a computer system, known as HyperCritic, can successfully audit general practitioners' treatment of hypertension by analyzing computer-based patient records. HyperCritic reviews the electronic medical records and offers unsolicited advice. To determine which unsolicited advice might be perceived as inappropriate, builders of programs such as HyperCritic need insight into providers' responses to computer-generated critique of their patient care. Twenty medical charts, describing in total 243 visits of patients with hypertension, were audited by 8 human reviewers and by the critiquing-system HyperCritic. A panel of 14 general practitioners subsequently judged the relevance of those critiques on a five-point scale ranging from relevant critique to erroneous or harmful critique. The panel judged reviewers' comments to be either relevant or somewhat relevant in 61 to 68% of cases, and either erroneous or possibly erroneous in 15 to 18%; the panel judged HyperCritic's comments to be either relevant or somewhat relevant in 65% of cases, and either erroneous or possibly erroneous in 16%. Comparison of individual members of the panel showed large differences; for example, the portion of HyperCritic's comments judged relevant ranged from 0 to 82%. We conclude that, from the perspective of general practitioners, critiques generated by the critiquing system HyperCritic are perceived equally beneficial as critiques generated by human reviewers. Different general practitioners, however, judge the critiques differently. Before auditing systems based on computer-based patient records that are acceptable to practitioners can be introduced, additional studies are needed to evaluate the reasons a physician may have for judging critiques to be irrelevant, and to evaluate the effect of critiques on physician behavior.

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Year:  1993        PMID: 8321133

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  6 in total

1.  A design model for computer-based guideline implementation based on information management services.

Authors:  R N Shiffman; C A Brandt; Y Liaw; G J Corb
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

2.  Medical quality assessment by scoring adherence to guideline intentions.

Authors:  A Advani; Y Shahar; M A Musen
Journal:  Proc AMIA Symp       Date:  2001

3.  Analysis of medical decision making: a cognitive perspective on medical informatics.

Authors:  A Kushniruk; V Patel; D Fleiszer
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

4.  Simulating an integrated critiquing system.

Authors:  M M Kuilboer; J van der Lei; J C de Jongste; S E Overbeek; B Ponsioen; J H van Bemmel
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

Review 5.  Hypertension and medical informatics.

Authors:  William McBride; Carlos Ferrario; Paulette A Lyle
Journal:  J Natl Med Assoc       Date:  2003-11       Impact factor: 1.798

Review 6.  Using health information technology to improve hypertension management.

Authors:  Mary K Goldstein
Journal:  Curr Hypertens Rep       Date:  2008-06       Impact factor: 5.369

  6 in total

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