Preprint Article Version 1 This version not peer reviewed

Clinical Decision Support System in Virtual Clinic

Version 1 : Received: 26 January 2018 / Approved: 26 January 2018 / Online: 26 January 2018 (16:05:14 CET)

How to cite: Rahman, A. Clinical Decision Support System in Virtual Clinic. Preprints 2018, 2018010255 (doi: 10.20944/preprints201801.0255.v1). Rahman, A. Clinical Decision Support System in Virtual Clinic. Preprints 2018, 2018010255 (doi: 10.20944/preprints201801.0255.v1).

Abstract

Healthcare facilities in Pakistan are not sufficient, particularly in rural or remote areas. These areas show poorer health outcomes than urban areas due to lack of trained physicians, clinics and healthcare services. This is mainly because, most of the healthcare practitioners don’t like to practice in these areas. In contrast, a huge number of lady doctors don’t practice after their graduation due to various reasons, thus major portion of medical human resource is not utilized. Moreover, the information and communication technologies (ICT) in Pakistan are becoming popular and affordable day by day. Many developing countries like Pakistan have started the implementation of telemedicine projects. This research work focuses on connecting the remote areas of Pakistan to the urban areas’ practices and doctors especially the non-practicing lady doctors through ICT by establishing virtual clinics in remote areas. In addition to that, the virtual clinic decision support system (VCDSS) facilitates the users in two ways. Firstly, automatically assigning the appropriate most doctor for patient based on his ranking, experience and specialization etc. using a fuzzy rule based system (FRBS). Secondly, it helps the registered doctors at the time of prescribing a patient by suggesting the medicines according to the patient’s symptoms and history. It is done by using the knowledge-base of past diagnoses/prescriptions by the same doctor as well as other doctors and British National Formulary (BNF) using Apriori Algorithm and Inductive Learning Algorithm. The results are shown using sample dataset.

Subject Areas

CDSS, Virtual Clinic, Apriori Algorithm, Data mining, WEKA

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