TAILIEUCHUNG - Big Data System for Health Care Records
So far, medical data have been used to serve the need of people’s healthcare. In some countries, in recent years, a lot of hospitals have altered the conventional paper medical records into electronic health records. The data in these records grow continuously in real time, which generates a large number of medical data available for physicians, researchers, and patients in need. Systems of electronic health records share a common feature that they are all constituted from open sources for Big Data with distributed structure in order to collect, store, exploit, and use medical data to track down, prevent, treat human’s diseases, and even forecast dangerous epidemics. | VNU Journal of Science: Policy and Management Studies, Vol. 33, No. 2 (2017) 146-156 Big Data System for Health Care Records Phan Tan1, Nguyen Thanh Tung2,*, Vu Khanh Hoan3, Tran Viet Trung1, Nguyen Huu Duc1 1 Institute of Information Technology and Communication, Hanoi University of Science and Technology, 1 Dai Co Viet Street, Hai Ba Trung, Hanoi, Vietnam 2 VNU International School, Building G7-G8, 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam 3 Nguyen Tat Thanh University, 300A, Nguyen Tat Thanh, Ward 13, District 4, Ho Chi Minh City, Vietnam Received 12 April 2017 Revised 12 May 2017; Accepted 28 June 2017 Abstract: So far, medical data have been used to serve the need of people’s healthcare. In some countries, in recent years, a lot of hospitals have altered the conventional paper medical records into electronic health records. The data in these records grow continuously in real time, which generates a large number of medical data available for physicians, researchers, and patients in need. Systems of electronic health records share a common feature that they are all constituted from open sources for Big Data with distributed structure in order to collect, store, exploit, and use medical data to track down, prevent, treat human’s diseases, and even forecast dangerous epidemics. Keywords: Epidemiology, Big data, real-time, distributed database. 1. Introduction In many countries worldwide, health record systems have been digitalized on national scale, and this data warehouse has contributed greatly to improving patients’ safety, updating new treatment methods, helping healthcare services get access to patients’ health records, facilitating disease diagnoses, and developing particular treatment methods for each patient basing on genetic and physiological information. Besides, this data warehouse is a big aid for disease diagnosis and disease early warning, especially for the most common fatal ones worldwide such as heart diseases and ovarian cancer, which are .
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