COMMONKADS MODEL FRAMEWORK FOR WEB-BASED EMERGENCY MEDICINE DECISION SUPPORT SYSTEM

Medical decision support system proves one of the most significant usages of Decision Support System (DSS) and ICT (Information and Communication Technology) in the health care domain. Providing medical support and facilities in the rural area is the critical issue in the developing countries, like India. Most of the existing technology focused on providing offline telemedicine approach, which will not be handy for emergency purpose. Other approaches focus on providing offline guidance to the emergency paramedics without actually looking at the patient real time vital parameters. This web-based emergency support system will exhibit reasonable accuracy in predicting patient’s risk level and forecasting possible disease with onsite suggestion for treatment. Most of the existing solutions are system specific and their applicability is also limited to the mentioned field. They all are utilizing some specific algorithm design based on some predefined rule base. These methodologies lack the ability to scale up and to support the development of large DSS. The modelling approach for creating Knowledge Base Systems (KBS) is much more popular due to its modular structure and its capability to split the knowledge engineering problem into smaller tasks. Different methodologies are proposed by the different researcher for modeling knowledge-based system. Common KADS is considered to be one of the most popular methods amongst them. This paper incorporates all the different models of Common KADS for emergency medicine DSS. The proposed system includes clinical risk detection, disease prediction and suggesting possible treatment as well