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Benchmarking implementation of a computerized system for long-term care.

Deborah J Ossip-Klein1, Jurgis Karuza, Arthur Tweet

  • 1Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY 14642, USA. deborah_ossipklein@urmc.rochester.edu

American Journal of Medical Quality : the Official Journal of the American College of Medical Quality
|June 21, 2002
PubMed
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Benchmarking identified effective strategies for long-term care facilities implementing new computerized resident assessment instrument/minimum data set (RAI/MDS) systems. These best practices can guide future system implementation protocols in nursing homes.

Area of Science:

  • Healthcare Management
  • Information Systems in Healthcare
  • Long-Term Care Administration

Background:

  • Implementing new computerized systems in long-term care facilities presents unique challenges.
  • Effective adoption of resident assessment instruments is crucial for quality care and regulatory compliance.
  • Previous research has not fully explored benchmarking for optimizing these implementations.

Purpose of the Study:

  • To apply a benchmarking methodology to identify best practices for implementing computerized resident assessment instrument/minimum data set (RAI/MDS) systems.
  • To develop evidence-based implementation protocols derived from identified best practices.
  • To assess the utility of benchmarking as a tool for guiding system adoption in nursing homes.

Main Methods:

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  • Conducted site visits at three selected long-term care facilities.
  • Utilized national search criteria for facility selection.
  • Developed and administered targeted questionnaires to facility directors, directors of nursing, information system managers, and frontline staff.
  • Analyzed responses to identify common factors critical for successful system implementation.

    • Main Results:

    • A convergence of recommended action steps for facilitating the introduction and implementation of new RAI/MDS software was identified across facilities.
    • Benchmarking proved effective in pinpointing best practices for guiding the implementation plan.
    • The study provides a replicable methodology for implementing new systems in nursing home settings.

    Conclusions:

    • Benchmarking is a valuable methodology for identifying best practices in long-term care IT system implementation.
    • The identified best practices and protocols can enhance the successful adoption of computerized RAI/MDS systems.
    • The described benchmarking steps offer a transferable model for implementing various new systems within the nursing home environment.