Literature DB >> 8409807

A method for selecting data subsets from large medical data bases.

C M Rozewski1.   

Abstract

Because of the exponential increase in health care expenditures, attention has been drawn to the cost and effectiveness of health care delivered. The use of electronic data bases as a means for assessing health care effectiveness has been advocated as powerful computer systems have become commonplace. The need to work efficiently with extremely large data bases presents difficult challenges to researchers who wish to focus on specific aspects of the data. This paper describes a computer program written to facilitate the analysis of large medical data sets by providing a straightforward way to specify and select data subsets from the aggregate data base.

Mesh:

Year:  1993        PMID: 8409807     DOI: 10.1007/bf00996787

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


  5 in total

1.  The health of the computer-based patient record.

Authors:  M E Frisse
Journal:  Acad Med       Date:  1992-07       Impact factor: 6.893

2.  Computerized medical records: defining a standard without the computer.

Authors:  A R Bradbury
Journal:  Med Inform (Lond)       Date:  1991 Jul-Sep

3.  Epidemiologic oversight of the medical care provided to Medicare beneficiaries.

Authors:  H Krakauer; R C Bailey
Journal:  Stat Med       Date:  1991-04       Impact factor: 2.373

4.  Effectiveness in health care. An initiative to evaluate and improve medical practice.

Authors:  W L Roper; W Winkenwerder; G M Hackbarth; H Krakauer
Journal:  N Engl J Med       Date:  1988-11-03       Impact factor: 91.245

5.  Continuous improvement as an ideal in health care.

Authors:  D M Berwick
Journal:  N Engl J Med       Date:  1989-01-05       Impact factor: 91.245

  5 in total
  1 in total

Review 1.  Voting and priorities in health care decision making, portrayed through a group decision support system, using analytic hierarchy process.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1994-10       Impact factor: 4.460

  1 in total

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