Literature DB >> 9871874

Decision-making with and without information technology in acute care hospitals: survey in the United States.

M Hatcher1.   

Abstract

These survey results are from a national survey of acute care hospitals. A random sample of 813 hospitals was selected with 115 responding and 33 incorrect addresses resulting in a 15% response rate. The purpose of the study was to measure the extent of information systems integration in the financial, medical, and administrative systems of the hospitals. Decision making with and without information technology is explored based upon the survey data. The results indicate why and how meetings are held. Necessary changes in the decision-making environment are identified for decision making utilizing information technology to be successful. These results will provide a benchmark for hospitals to determine their technology transfer position and to set goals for computer assisted decision-making.

Mesh:

Year:  1998        PMID: 9871874     DOI: 10.1023/a:1020618409662

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  25 in total

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Authors:  M G Lilienthal
Journal:  J Med Syst       Date:  1995-06       Impact factor: 4.460

Review 2.  Uniqueness of Group Decision Support Systems (GDSS) in medical and health applications.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1990-12       Impact factor: 4.460

3.  A human resource planning model for hospital/medical technologists: an analytic hierarchy process approach.

Authors:  N K Kwak; K J McCarthy; G E Parker
Journal:  J Med Syst       Date:  1997-06       Impact factor: 4.460

4.  Survey of acute care hospitals in the United States relative to technology usage and technology transfer.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1997-10       Impact factor: 4.460

5.  Determining the optimal physician mix in health maintenance organizations.

Authors:  J R Vitiello; R R Levary
Journal:  J Med Syst       Date:  1997-08       Impact factor: 4.460

6.  Flexible nursing staff planning when patient demands are uncertain.

Authors:  A Jeang
Journal:  J Med Syst       Date:  1994-06       Impact factor: 4.460

7.  Evaluation of an algorithm to identify women with carcinoma of the breast.

Authors:  L J Solin; S MacPherson; D J Schultz; N A Hanchak
Journal:  J Med Syst       Date:  1997-06       Impact factor: 4.460

8.  A prototype computer decision support system for the management of asthma.

Authors:  T Austin; S Iliffe; M Leaning; M Modell
Journal:  J Med Syst       Date:  1996-02       Impact factor: 4.460

9.  Neural network based on adaptive resonance theory as compared to experts in suggesting treatment for schizophrenic and unipolar depressed in-patients.

Authors:  I Modai; A Israel; S Mendel; E L Hines; R Weizman
Journal:  J Med Syst       Date:  1996-12       Impact factor: 4.460

10.  A case mix simulation decision support system model for negotiating hospital rates.

Authors:  M E Hatcher; C Connelly
Journal:  J Med Syst       Date:  1988-12       Impact factor: 4.460

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  3 in total

1.  Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-02       Impact factor: 4.460

2.  Intranet usage and potential in acute care hospitals in the United States: survey-2000.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-12       Impact factor: 4.460

3.  Technology transfer with system analysis, design, decision making, and impact (Survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-10       Impact factor: 4.460

  3 in total

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