Literature DB >> 11673100

Evaluating informatics applications--clinical decision support systems literature review.

B Kaplan1.   

Abstract

This paper reviews clinical decision support systems (CDSS) literature, with a focus on evaluation. The literature indicates a general consensus that clinical decision support systems are thought to have the potential to improve care. Evidence is more equivocal for guidelines and for systems to aid physicians with diagnosis. There also is general consensus that a variety of systems are little used despite demonstrated or potential benefits. In the evaluation literature, the main emphasis is on how clinical performance changes. Most studies use an experimental or randomized controlled clinical trials design (RCT) to assess system performance or to focus on changes in clinical performance that could affect patient care. Few studies involve field tests of a CDSS and almost none use a naturalistic design in routine clinical settings with real patients. In addition, there is little theoretical discussion, although papers are permeated by a rationalist perspective that excludes contextual issues related to how and why systems are used. The studies mostly concern physicians rather than other clinicians. Further, CDSS evaluation studies appear to be insulated from evaluations of other informatics applications. Consequently, there is a lack of information useful for understanding why CDSSs may or may not be effective, resulting in making less informed decisions about these technologies and, by extension, other medical informatics applications.

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Mesh:

Year:  2001        PMID: 11673100     DOI: 10.1016/s1386-5056(01)00183-6

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  66 in total

1.  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

2.  Organisational culture matters for system integration in health care.

Authors:  Samina K Munir; Stephen Kay
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  The use of computers for clinical care: a case series of advanced U.S. sites.

Authors:  David F Doolan; David W Bates; Brent C James
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

4.  Understanding the normalization of telemedicine services through qualitative evaluation.

Authors:  Carl May; Robert Harrison; Tracy Finch; Anne MacFarlane; Frances Mair; Paul Wallace
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

5.  Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

Authors:  Mary K Goldstein; Robert W Coleman; Samson W Tu; Ravi D Shankar; Martin J O'Connor; Mark A Musen; Susana B Martins; Philip W Lavori; Michael G Shlipak; Eugene Oddone; Aneel A Advani; Parisa Gholami; Brian B Hoffman
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

6.  SRCAST-Diagnosis: understanding how different members of a patient-care team interact with clinical decision support system.

Authors:  Shizhuo Zhu; Madhu Reddy; John Yen; Christopher DeFlitch
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

7.  From expert-derived user needs to user-perceived ease of use and usefulness: a two-phase mixed-methods evaluation framework.

Authors:  Mary Regina Boland; Alexander Rusanov; Yat So; Carlos Lopez-Jimenez; Linda Busacca; Richard C Steinman; Suzanne Bakken; J Thomas Bigger; Chunhua Weng
Journal:  J Biomed Inform       Date:  2013-12-12       Impact factor: 6.317

8.  Creating resilient IT: how the sign-out sheet shows clinicians make healthcare work.

Authors:  Christopher Nemeth; Mark Nunnally; Michael O'Connor; Richard Cook
Journal:  AMIA Annu Symp Proc       Date:  2006

9.  A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside.

Authors:  Philip J Kroth; Paul R Dexter; J Marc Overhage; Cynthia Knipe; Siu L Hui; Anne Belsito; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2006

10.  Comparative outcome studies of clinical decision support software: limitations to the practice of evidence-based system acquisition.

Authors:  Gaurav Jay Dhiman; Kyle T Amber; Kenneth W Goodman
Journal:  J Am Med Inform Assoc       Date:  2015-02-08       Impact factor: 4.497

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