Telemedicine: Distributed Decision Support with Partial Compatibility Evidence

Intelligent decision support systems have been utilized in various functional areas of the modern enterprise. For example, researchers have advanced divers uncertainty management techniques in operation management, marketing,... [ view full abstract ]

Intelligent decision support systems have been utilized in various functional areas of the modern enterprise. For example, researchers have advanced divers uncertainty management techniques in operation management, marketing, finance, etc. Healthcare organizations have also been studied with significant attention given to improving the performance of its telecommunication and information systems, but little paid to it medical information processing engine. The most central part of a telemedicine system is mainly its patient satisfaction part that still remains unstudied. A telemedicine system can then benefit from an intelligent decision support that can assist the e-doctor in collecting and combining patient evidence before generating a sound recommendation about the patient medical conditions.
This article is an extension of Raggad et al (2014) which proposed a method to construct a belief structure based on e-patient medical records and the feasible medical space associated with the e-consultation process. This article introduced several claims where partial compatibility of evidence is processed to generate decision support information to e-doctors. E-doctor assertions are processed and optimal medical conditions are generated in a risk-driven manner. The paper also provides a numerical example to demonstrate the working of the proposed method.