Accession Number:

ADA255973

Title:

An Evaluation Study of Off-The-Shelf Patient Classification Systems

Descriptive Note:

Final rept. Aug-Dec 1991,

Corporate Author:

ARMY HEALTH CARE STUDIES AND CLINICAL INVESTIGATION ACTIVITY FORT SAM HOUSTON TX

Personal Author(s):

Report Date:

1992-03-01

Pagination or Media Count:

26.0

Abstract:

This study was conducted to determine if commercially available, off- the-shelf patient classification systems PCS would meet the functional requirements for nursings management information needs. Information about the systems was also considered in the development of other options for revising the Workload Management System for Nursing WMSN. Approximately 89 potential sources were identified through lists in nursing administration and hospital automation .references. The majority of these were consultant or information systems companies. Information was provided by 59 of the sources. A 3-phase plan was developed to expedite identification of suitable systems using readily available information. Respectively, the objectives were to 1 identify and collect information on commercially available, off-the-shelf PCSs 2 organize pertinent information using an adapted evaluation model, and 3 identify PCSs meeting predetermined selection criteria. A data collection form was developed to guide the telephone interviews and written materials on PCS methodology were requested. Information was sorted using an adapted version of the content-input- process-product CIPP model. A decision matrix incorporating predetermined selection criteria identified suitable PCSs. The two systems identified for further corporate evaluation were Van Slyck and Medicus. The evaluation model used in this study provided a framework for information that had relevance to DoD. Very often, organizations begin testing systems without a clear understanding of their requirements. In addition, marketing information often overstate a systems capabilities and understate limitations. Conflicting definitions of common terms further complicates making comparisons.

Subject Categories:

  • Information Science
  • Medicine and Medical Research
  • Machinery and Tools

Distribution Statement:

APPROVED FOR PUBLIC RELEASE