Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

R. Haux

doi:10.1055/s-0038-1635551

Methods of Information in Medicine, Table of Contents

Methods Inf Med 1989; 28(02): 69-77
DOI: 10.1055/s-0038-1635551

Original Article

Schattauer GmbH

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

Authors

R. Haux

¹Institute of Medical Information Processing, University of Tübingen, Federal Republic of Germany

Abstract

Abstract:

Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

Key-Words:

Decision Support - Diagnosis - Therapy - Expert Systems - Clinical Registries - Attribute Selection

Full Text

References

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