Using comparative clinical information to understand practice patterns and affect organizational change.
The University Hospital Consortium is collecting clinical, administrative and financial data from its members to develop a Clinical Information Network. The value of this collective data lies in how comparative information about peer hospitals and physicians in the same specialty can be used to influence practice. The raw data from each hospital is analyzed, classified, normalized and stored in a data repository which is easily accessible. This data becomes information when it is presented in a variety of ways, and is supported by a knowledge-base of health care rules. The "drilling down" technique to progressive levels of detail serves the needs of all levels in the organization--executives, managers, and analysts. The system combines the power of a mainframe for the data repository with the ease of use of a PC-based workstation. With an open-ended approach, the users can ask a variety of questions of the data, as well as perform statistical analysis, create graphical presentations and generate explanations of the analysis techniques.
Adams
S W
SW
Medical College of Virginia Hospitals.
Schultz
S
S
Elias
A
A
Jordon
T
T
Duke
J
J
Lieber
A
A
D001185:Artificial Intelligence; D016208:Databases, Factual; D003660:Decision Support Systems, Management; D009096:Multi-Institutional Systems; D009936:Organizational Innovation; D010818:Practice Patterns, Physicians'; D012984:Software; D014768:Virginia