Mobile-assisted remote healthcare delivery

In any under served rural areas, the role of health workers is very important because most of the people are used to get their medical assistance from these health workers. They assist the people to detect their disease or illness against some set of symptoms and information related to the symptoms. Educational qualifications of the health workers are very low i.e. up to the 10th standard and therefore, the lack of medical knowledge and training are the main obstacle to identify the disease properly. In mobile-assisted remote health-care system, the primary objective is to help the front-line health workers to extend their interactions, to increase their medical assistance in an effective and efficient way. In this paper, we propose a mobile-assisted diagnosis scheme which helps the patients and health workers to access the reference guideline or manuals, investigations, medical records using mobile devices. Further, for storing the symptoms of different diseases and related information with the symptoms, a data model is also designed. This data model is named as Disease-Symptom data model and it is implemented in Neo4j graph database. Some queries are tested in this data model and resulted graphs and sub-graphs are shown here.