Abstract
Day by day different types of new diseases are faced by human in different stages of their age. For preventing and reducing these diseases, various health-care system and patient data handling system are introduced with rapid rising of technology. The aim of this research is to find different types of latest technology for handling patient data in an efficient manner. With the increased of medical data various problem are created such as to collect and preserve data for further analysis; give proper treatment for different patient; collect medical data from different places and integrate them into a single framework; give security and manage different databases; provide real time data monitoring system; data transmission through on-line process; management different database; maintaining diabetes, mental pressure, wright measurement, loss of hearing capability. These problems can be solved by using modern technology such as health management system, electronic health record (EHR), cloud based hybrid database system of NoSQL, Internet of things (IoT), on-line transaction processing (OLTP), hadoop and Map Reduce model, big data management framework, data mining, intelligent weight management system (iWMS), CVOTION approach, e-health and telemedicine. The main objectives of this paper is to analyze different modern technology for patient data handling and compare them for finding which technology is more efficient. This research finally recommends the technology with which we can handle patient data more conveniently.