Pediatrics Prescriptions with Ontologies and Treatment Suggestions

Diagnosis and treatment for children healthcare are very sensitive activities. The present work presents an ontology based model for a future information system to support these activities. The input data contains children health status, and drug characteristics. During clinical practice a database with what specialists mark as successful treatments is created. This database is gradually growing bigger and is built by physicians based on their good results related to a treatment for a certain health condition. The new ontology system proposed in this paper is supporting the e-prescription process. The relations are managed using the open source application Protégé and for suggesting treatments, using the database with successful treatments, we developed a special module that offers to physicians a selection from which they can chose the best treatment for their current case.