--- Submitted to the 8th World Congress on Medical Informatics (Medinfo#'95) ---
OPTIMIZING DIAGNOSTIC AND THERAPEUTIC STRATEGIES USING DECISIONTHEORETIC PLANNING: PRINCIPLES AND APPLICATIONS
Charles E. Kahn, Jr., M.D. a and Peter Haddawy, Ph.D.
Section of Information and Decision Sciences, Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA (ckahn@mcw.edu).
Department of Electrical Engineering and Computer Science, University of Wisconsin--Milwaukee, Milwaukee, Wisconsin 53201, USA (haddawy@cs.uwm.edu).
ABSTRACT
Objective: Decisiontheoretic planning is a new technique for selecting optimal actions. The authors sought to determine whether decisiontheoretic planning could be applied to medical decision making to identify optimal strategies for diagnosis and therapy.
Methods: An existing model of acute deep venous thrombosis (DVT) of the lower extremities --- in which 24 management strategies were compared --- was converted into a set of conditionalprobabilistic actions for use by the DRIPS decisiontheoretic planning system. Actions were grouped into an abstraction/decomposition hierarchy. A utility function was defined in accordance with the existing DVT management model to incorporate the costs and risks of the diagnostic tests and treatments.
Results: From 18 primitive actions (such as ``perform venography'' and ``treat if venography shows thigh DVT''), a total of 312 possible concrete plans were encoded within the abstraction/decomposition hierarchy. The DRIPS planning system used abstraction techniques to eliminate 136 possible plans (44%) from consideration. It determined that, given the parameters specified, the most costeffective management strategy was ``no tests, no treatment.'' This result differed from the published result of ``perform ultrasonography, treat if positive.'' In reviewing the original article, it was determined that DRIPS had revealed an error in the manually constructed decision trees used in that manuscript. At values for the cost of death of $75,000 and greater, the optimal strategy became ``impedance plethysmography (IPG), don't wait, perform venography if IPG is positive, and treat only if venography shows thigh DVT.'' Conclusion: Decisiontheoretic planning is applicable to medical decision making, and may be an extremely useful technique for complex decisions. The use of inheritance abstraction makes the technique computationally tractable for complex planning problems, and the modular nature of the data entry may help eliminate errors that appear in manually encoded decision trees.