A System for Medical Reasoning (SMR) in the Clinical Laboratory
Most medical artificial intelligence (AI) applications simulate diagnostic or patient management problem solving as a stepwise interactive process with alternating phases of data input and system response. The required data may be obtained at various stages during the patient’s course of disease and the reasoning process may be quite complex. In the clinical laboratory, the data is obtained and recorded initially and the computerized reasoning is concerned with interpreting the results and possibly suggesting the further tests required to fully evaluate the patient. The generality and flexibility of the SMR expert shell permits development of knowledge systems for both types of application. In order to illustrate the full potentiality of SMR within the clinical laboratory context, we describe a series of applications developed at the Unit of Biomedical Systems Analysis and the Department of Clinical Chemistry, Uppsala University, Sweden, as part of the Nordic R&D project on knowledge-based systems in clinical chemistry.
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