A Study of Drug Interaction for Personalised Decision Support in Dental Clinics

While most dental clinicians use some sort of information system, they are mainly for administrative purposes, with a noticeable lack in advisory features such as decision support in clinical situations. It will be exciting to see more research done to enable a robust system that can fit within the clinical workflow of the dentist to be used as a diagnostic tool at point-of-care, especially in drug prescription. With this motivation in mind, this paper proposes a model to store interactive drug-pairs and other useful information such as side-effects of the drugs. By traversing through these drug-pairs, potential interactions can be highlighted to the dentist by considering the personalised medical and drug profiles of the patient. This will enhance the potential for seamless integration of a robust, intelligent and scalable diagnostic tool within the clinical workflow of a dental clinic, thereby reducing prescription errors and increasing productivity of the dental practice.