Abstract:
No standardized representation of drug indications is currently available that could
be used in drug knowledge bases. We describe an object-oriented representation of
indications that should make it possible to develop new tools for selecting drugs
and checking prescriptions in computerized drug prescription systems. The model was
developed using the results of a lexical and semantic analysis of drug indications,
collected into a single file and processed using natural language processing software.
It distinguishes both the diseases for which the drug may be given and the efficiency
of the drug for a given indication. Two aspects of the model were evaluated: the differences
if two independent evaluators filled the attributes independently and the loss of
information induced by the use of the model. A system based on this model, making
it possible for the physician to select all the drugs satisfying various criteria,
is also presented.
Keywords:
Drug Indications - Knowledge Base - Information Modeling - Electronic Prescribing
