Healthcare E-Guide System using K-means Clustering Algorithm Case Study (Healthcare Centers in Khartoum-State)

Abstract

Recently with a rapid growth of the internet and technologies, many applications and researches arises to support healthcare field and medical services. Any person may face health problems at any moment, and search for the nearest medical center may consume a long time. Patient may need to move from medical center to another because the near hospitals may not be suitable either in terms of medical equipment, clinics or even specialist. Also the lack of information about medical services on the internet in Sudan has caused the patient to search for a long time to find a suitable medical center or move from one hospital to another to take a certain medical services. Due to the lack of applications to serve the medical field in Sudan, there is a critical need to develop application that facilitate the search for medical services near the patient’s location, in anytime and anywhere inside Sudan especially in the rare areas. The main aim of proposed system is to design and implement secure mobile application to locate a convenient healthcare services shortly and accurately. The system provides different search options, GPS to accurately locate current location of user and generate/ access Electronic Health Record of patients with different views based on database role and authentication. For urgent cases; the system send emergency message to the specific practitioner based on schedule, this can assist in pre-treatment or first aids and to get a good background about patient’s medical history before he/she arrive the selected hospital by the system. The system implement appropriate security mechanisms without affect the system performance. The system find out nearest healthcare services by use improved k-means clustering algorithm with improvement to in line with system requirements. This algorithm has been selected for ease, simplicity, easily editable and easy to improve.