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Benchmarking Implementation of a Computerized System for Long-term Care

Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry and the VA Healthcare Network, Upstate New York at Canandaigua, deborahkossipklein{at}urmc.rochester.edu

Jurgis Karuza, PhD

Department of Psychology, State University College at Buffalo, Department of Medicine, University of Rochester School of Medicine and Dentistry, and Monroe Community Hospital, Roch-ester, NY

Arthur Tweet, PhD

Health Systems Administration Program, Rochester Institute of Technology

John Howard, MD

VA Healthcare Network

Marcia Obermiller-Powers, MS

Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry and the VA Healthcare Network, Upstate New York at Canandaigua

Lois Howard, RN, NP

VA Healthcare Network

Paul Katz, MD

Department of Medicine, University of Rochester School of Medicine and Dentistry and Monroe Community Hospital

Sandy Griffin-Roth, MS

Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry and the VA Healthcare Network, Upstate New York at Canandaigua

Marianne Swift, MEd

Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry and the VA Healthcare Network, Upstate New York at Canandaigua

The purpose of this study was to apply a benchmarking methodology to identify the most effective approaches used by long-term care facilities in implementing new computerized resident assessment instrument/minimum data set (RAI/MDS) systems and to develop implementation protocols based on these "best practices." Site visits were conducted with 3 long-term care facilities, selected on the basis of a national search. Facility directors, directors of nursing, information system managers, and frontline staff at each facility were targeted, and questionnaires were developed for each to assess factors viewed as important to successful implementation. A convergence was found in recommended action steps reported across sites to facilitate introduction and implementation of new RAI/MDS software. An example of how benchmarking results were used to develop an implementation plan is provided. Benchmarking provided a useful methodology for identifying best practices to guide implementation planning for adoption of a new computerized RAI/MDS system in the current trial. The benchmarking steps described are replicable and can be used to guide implementation of other new systems in the nursing home setting.

Key Words: Benchmarking • computer • minimum data set • nursing home • resident assessment instrument

American Journal of Medical Quality, Vol. 17, No. 3, 94-102 (2002)
DOI: 10.1177/106286060201700304


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