Techniques for dataset design: a utilization management system model.
Designing a clinical information system offers a sense of accomplishment similar to that of a dramatic performance. The development of the data dictionary and proposed system description requires the same attention to detail as stage directions in a script. The people involved in daily system operation are of key importance in developing a clear understanding of how things actually happen in the information flow and decision process. Once the business rules are defined and edits and conditions are developed to ensure data integrity, it is time to step back and let the performance begin. The real power of the user-designed system, like that of a performance before a live audience, comes with the ability to query the data for answers to issues and problems decision makers did not face at the time of the initial system design.
Fuller
S R
SR
University of Washington Medical Center, Seattle.
O'Gara
S A
SA
D015510:Clinical Medicine / Q000706:statistics & numerical data; D003362:Cost-Benefit Analysis; D003625:Data Collection / Q000379:methods / Q000592:standards; D003627:Data Interpretation, Statistical; D003661:Decision Support Techniques; D006745:Hospital Bed Capacity, 300 to 499; D006751:Hospital Information Systems / Q000191:economics / Q000295:instrumentation*; D006785:Hospitals, University / Q000458:organization & administration / Q000706:statistics & numerical data*; D008499:Medical Records; D010934:Planning Techniques; D013597:Systems Analysis; D014600:Utilization Review / Q000458:organization & administration*; D014861:Washington