Health Service Knowledge Management to Support Medical Group Decision Making

In this study, we are proposing a medical group decision making using Health Service Knowledge Management (HSKM) with interactively extracted context from patients and doctors by sharing of health information. Especially, in the area o f telehealthcare, it is necessary to share distributed medical information to make medical decisions because it is not easy to make a decision without any face-to-face contact between patients and doctors. Occasionally, medical teams often need to share medical information with far-off clinicians to care patients much more. For such a reason, it is sufficient to develop HSKM for healthcare systems. The developed HSKM is applied to make a medical decision for patients, which is based on Health Service Ontology and Case-based reasoning (CBR). Health Service Ontology is based on medical information like symptoms, diseases, departments and doctors knowledge. Medical records are stored as cases in knowledge-base. The cases are applied to find appropriate medical cases in the medical group decision making using CBR. To extract a medical decision, patients and doctors' interactive contexts are considered during the making a medical decision. The contexts are operated as constraints to reach the medical goal using Constraints Satisfaction Problem (CSP). We used an example to discuss the necessity of the proposed HSKM and we expect the implementation and verification of the superiority o f the system in further research.