Literature DB >> 9794316

How well do physicians use electronic information retrieval systems? A framework for investigation and systematic review.

W R Hersh1, D H Hickam.   

Abstract

OBJECTIVE: Despite the proliferation of electronic information retrieval (IR) systems for physicians, their effectiveness has not been well assessed. The purpose of this review is to provide a conceptual framework and to apply the results of previous studies to this framework. DATA SOURCES: All sources of medical informatics and information science literature, including MEDLINE, along with bibliographies of textbooks in these areas, were searched from 1966 to January 1998. STUDY SELECTION: All articles presenting either classifications of evaluation studies or their results, with an emphasis on those studying use by physicians. DATA EXTRACTION: A framework for evaluation was developed, consisting of frequency of use, purpose of use, user satisfaction, searching utility, search failure, and outcomes. All studies were then assessed based on the framework. DATA SYNTHESIS: Due to the heterogeneity and simplistic study designs, no meta-analysis of studies could be done. General conclusions were drawn from data where appropriate. A total of 47 articles were found to include an evaluation component and were used to develop the framework. Of these, 21 articles met the inclusion criteria for 1 or more of the categories in the framework. Most use of IR systems by physicians still occurs with bibliographic rather than full-text databases. Overall use of IR systems occurs just 0.3 to 9 times per physician per month, whereas physicians have 2 unanswered questions for every 3 patients.
CONCLUSIONS: Studies comparing IR systems with different searching features have not shown that advanced searching methods are significantly more effective than simple text word methods. Most searches retrieve only one fourth to one half of the relevant articles on a given topic and, once retrieved, little is known about how these articles are interpreted or applied. These studies imply that further research and development are needed to improve system utility and performance.

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Mesh:

Year:  1998        PMID: 9794316     DOI: 10.1001/jama.280.15.1347

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


  58 in total

1.  Analysis of information needs of users of the Stanford Health Information Network for Education.

Authors:  H R Strasberg; P R Hubbs; T C Rindfleisch; K L Melmon
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Integration and beyond: linking information from disparate sources and into workflow.

Authors:  W W Stead; R A Miller; M A Musen; W R Hersh
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

3.  Using clinical evidence.

Authors:  S Barton
Journal:  BMJ       Date:  2001-03-03

4.  Factors associated with successful answering of clinical questions using an information retrieval system.

Authors:  W R Hersh; M K Crabtree; D H Hickam; L Sacherek; L Rose; C P Friedman
Journal:  Bull Med Libr Assoc       Date:  2000-10

Review 5.  Evidence-based librarianship: an overview.

Authors:  J D Eldredge
Journal:  Bull Med Libr Assoc       Date:  2000-10

6.  Factors associated with success in searching MEDLINE and applying evidence to answer clinical questions.

Authors:  William R Hersh; M Katherine Crabtree; David H Hickam; Lynetta Sacherek; Charles P Friedman; Patricia Tidmarsh; Craig Mosbaek; Dale Kraemer
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

7.  MedlineQBE (Query-by-Example).

Authors:  E Bernstam
Journal:  Proc AMIA Symp       Date:  2001

8.  ISABEL: a web-based differential diagnostic aid for paediatrics: results from an initial performance evaluation.

Authors:  P Ramnarayan; A Tomlinson; A Rao; M Coren; A Winrow; J Britto
Journal:  Arch Dis Child       Date:  2003-05       Impact factor: 3.791

9.  SmartQuery: context-sensitive links to medical knowledge sources from the electronic patient record.

Authors:  Susan L Price; William R Hersh; Daniel D Olson; Peter J Embi
Journal:  Proc AMIA Symp       Date:  2002

10.  Using LOINC to link an EMR to the pertinent paragraph in a structured reference knowledge base.

Authors:  James C Reichert; Matt Glasgow; Scott P Narus; Paul D Clayton
Journal:  Proc AMIA Symp       Date:  2002
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