Computer-based storage of patient data is the basis for their comprehe
nsive use in science and patient care. Developing a data base for stor
age and interpretation of strabologic data must be prepared by an anal
ysis of data items, terminologies. and diagnostic methods. We analyzed
patient data collections and constructed a minimal strabologic data s
tructure focused on methods for the examination of eye-muscle function
. Geometric methods for the analysis of I-less charts help to prepare
diagnostic parameters for assignment of Hess-result figures (classifie
d according to their shapes) to certain diagnoses of muscle paresis. I
n this way the system can help in preparing and verifying diagnoses an
d structuring data according to various scientific or patient-manageme
nt needs, Moreover, the system can support diagnostic training as it c
an present Hess charts. related diagnoses, and geometric parameters in
a concise manner and hence enable learners to understand the diagnost
ic procedure.