Some computer-based decision support tools for the rehabilitation manager.
The recent introduction of the Management Information System (MIS) guidelines has sparked much interest among health care institutions across Canada regarding proper approaches to the recording and interpretation of various financial and workload indicators. While the benefits of the MIS guidelines are widely acknowledged, much less attention has been directed to how departmental managers can analyze and make use of the vast amount of information generated. In this paper we attempt to review some of the computer-based decision-support tools that may be useful to the manager of the rehabilitation services department in analyzing the various MIS data that are collected. The data are assumed to be available through a computerized rehabilitation information system which includes workload measures. The quantitative models reviewed in this paper include basic descriptive statistics, deviation, trend and what-if-analysis and graph-plotting. Although the use of such tools can assist the rehabilitation manager in the routine decision-making process, it is very important that we ask the right questions and employ the proper model to make the most rational and best decision. In this respect, ongoing training in general problem-solving skills, decision-making processes, and use of computer-based decision-support tools may be very beneficial.
Department of Applied Sciences in Medicine, University of Alberta, Edmonton.
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D002170:Canada; D003626:Data Display; D003627:Data Interpretation, Statistical; D003660:Decision Support Systems, Management; D005376:Financial Management / Q000379:methods; D005544:Forecasting / Q000379:methods; D008838:Microcomputers; D010814:Physical Therapy Department, Hospital / Q000191:economics / Q000458:organization & administration* / Q000706:statistics & numerical data; D012047:Rehabilitation Centers / Q000191:economics / Q000458:organization & administration* / Q000706:statistics & numerical data; D013597:Systems Analysis; D016526:Workload / Q000706:statistics & numerical data