| Summary: | 碩士 === 國立陽明大學 === 衛生資訊與決策研究所 === 95 === Clinical practice guidelines play a very important role, since they can be used as a system to support physicians in the diagnosis and treatment of diseases, or as a system for education, critique or evaluation. But they are not yet be applied by clinicians appropriately during the actual care process. Implementing guidelines in computer-based decision support systems promises to improve the acceptance and application of guidelines in daily practice because the actions and observations of health care workers are monitored and advices or alerts are generated whenever a guideline is not followed.
Time plays a major role in clinical diagnosis, prediction, and therapy planning. Actually, time-oriented clinical data are a major decision making factor for many clinical guidelines. An important research problem is how to model guideline concisely and clearly so that temporal constraints can be implemented in guideline-based decision support systems in a straightforward manner.
The contributions of this thesis are twofold: (1) to develop a temporal query language for medical domain-- TempoCom (Temporal Comprehension), which provides comprehensive yet concise expressions for querying temporal medical data and (2) to extend the clinical practice guideline development tool-- CPGen (Clinical Practice Guideline application Generator) with the capability of supporting temporal decision rules expressed in TempoCom. With the extended CPGen, one can develop temporal guideline-based decision support systems for clinical treatment rapidly.
|
|---|
