Composite algorithm for pervasive healthcare system – a solution to find optimized route for closest available health care facilities

There are many solutions available for healthcare issues, like increasing the Qos, Handling multimedia data, providing Security, compressing multimedia files, finding a shortest path, etc. This paper addresses the problem pertaining to finding the optimized route for closest available healthcare facilities. Location Based Services (LBS) in healthcare has been widely used to deliver detailed information like availability of health care facility, finding location, navigation and etc. However, in some places, the use of LBS in healthcare is limited because of lack of resources or information for getting timely information to users or patients who need health care services. The problem that can be detected is that the vital information needed by the patients or users such as the availability of health care facilities like pharmacy, hospital, clinic, blood bank, etc. has to be seamlessly reached. This work focus to solve the problem by creating a application for patients to get the information about nearest health care facilities by using any android based mobile phone. The proposed system uses composite algorithm. Composite algorithm comprises of three algorithms namely, Information Retrieval R-Tree (IR 2 ) algorithm for filtering process, K-Nearest Neighbour (KNN) query Technique for path and distance verification and Ahuja- Dijkstras algorithm to find optimized path. The information have taken from the Google web server (real time data) by using Google API, We have collected more than 1000 data pertaining to healthcare facilities like longitude latitude, speciality, contact details and etc. This system was developed by Android OS. The algorithm running at this system was very efficient of about 20% from the existing system. This work tries to focus on algorithm for lower time-complexity (O(logn)) and for more speed up processing.