Literature DB >> 8295543

User evaluation of an integrated medical workstation for clinical data analysis.

E M van Mulligen1, T Timmers, J H van Bemmel.   

Abstract

Results are presented of the user evaluation of an integrated medical workstation for support of clinical research. Twenty-seven users were recruited from medical and scientific staff of the University Hospital Dijkzigt, the Faculty of Medicine of the Erasmus University Rotterdam, and from other Dutch medical institutions; and all were given a written, self-contained tutorial. Subsequently, an experiment was done in which six clinical data analysis problems had to be solved and an evaluation form was filled out. The aim of this user evaluation was to obtain insight in the benefits of integration for support of clinical data analysis for clinicians and biomedical researchers. The problems were divided into two sets, with gradually more complex problems. In the first set users were guided in a stepwise fashion to solve the problems. In the second set each stepwise problem had an open counterpart. During the evaluation, the workstation continuously recorded the user's actions. From these results significant differences became apparent between clinicians and non-clinicians for the correctness (means 54% and 81%, respectively, p = 0.04), completeness (means 64% and 88%, respectively, p = 0.01), and number of problems solved (means 67% and 90%, respectively, p = 0.02). These differences were absent for the stepwise problems. Physicians tend to skip more problems than biomedical researchers. No statistically significant differences were found between users with and without clinical data analysis experience, for correctness (means 74% and 72%, respectively, p = 0.95), and completeness (means 82% and 79%, respectively, p = 0.40).(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1993        PMID: 8295543

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


  2 in total

1.  Access to data: comparing AccessMed with Query by Review.

Authors:  G Hripcsak; B Allen; J J Cimino; R Lee
Journal:  J Am Med Inform Assoc       Date:  1996 Jul-Aug       Impact factor: 4.497

2.  PROTEMPA: a method for specifying and identifying temporal sequences in retrospective data for patient selection.

Authors:  Andrew R Post; James H Harrison
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

  2 in total

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