Computer-based diagnosis support for the interpretation of Hess charts

Computer-based storage of patient data is the basis for their comprehensive use in science and patient care. Developing a data base for storage and interpretation of strabologic data must be prepared by an analysis of data items, terminologies, and diagnostic methods. We analyzed patient data collections and constructed a minimal strabologic data structure focused on methods for the examination of eye-muscle function. Geometric methods for the analysis of Hess charts help to prepare diagnostic parameters for assignment of Hess-result figures (classified according to their shapes) to certain diagnoses of muscle paresis. In this way the system can help in preparing and verifying diagnoses and structuring data according to various scientific or patient-management needs. Moreover, the system can support diagnostic training as it can present Hess charts, related diagnoses, and geometric parameters in a concise manner and hence enable learners to understand the diagnostic procedure.