Case-based reasoning in clinical processes using clinical data banks

Abstract

This study describes an approach to building a clinical data bank on the basis of a standardized clinical process model. A clinical data bank is considered as a repository of clinical cases, which is medical knowledge reflecting both up-to-date and retrospective medical data. In view of the case-based nature of the decision making process in medicine, a clinical data bank can be used in clinical processes to make diagnosis and treatment decisions. The study discusses the following issues: a) choosing an approach to modeling a clinical process; b) completeness of the model; c) medical data standardization and normalization; d) plain medical text mining; d) big medical data analysis. The study also looks at metric-based methods of searching for relevant clinical cases in the data bank.