Andy Y.-Y.L.Shen C.-P.Lin Y.-S.Chen H.-J.Chen A.-C.Cheng L.-C.TSEN-FANG TSAICHUN-TA HUANGLEE-MING CHUANGLai F.2020-06-012020-06-012012#VALUE!https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873977306&doi=10.1109%2fTENCON.2012.6412226&partnerID=40&md5=57a0079cdf59ed97831878bf6e9b9a61https://scholars.lib.ntu.edu.tw/handle/123456789/495660Patient self-management is necessary for care and management of chronic diseases. It can help patients to have a better understanding of their own lifestyle and health behavior and thus improve the disease condition and health status. Traditionally, in self-management, patients and physicians manually note down vital signs, medication record, healthcare visits, and activity logs on paper or onto a computer. These methods of recording may yield data, but it is difficult to maintain or manage. This study is aimed for developing a system to build a personal health record (PHR) for diabetes care automatically, generate continuity of care document (CCD) files for sharing of health information and set up clinical guidelines (CGs). Important advantages of clinical guidelines for medical care including improvement in clinical practice, support for medical decision making, and reduced hospital delays. In addition, our approach follows the principle of American Association of Diabetes Educators (AADE) in designing a platform. The results reveal that the decrease rate of HbA1C of patients for intervention group (66.6%) is better than control group (40%) after three months. The platform not only assists patients in being actively involved in their own personal health records, but improves their health status as well. ? 2012 IEEE.[SDGs]SDG3Activity logs; Chronic disease; Clinical guideline; Clinical practices; Continuity of cares; Control groups; Decrease rate; Diabetes care; Health behaviors; Health informations; Health status; Integrated platform; Medical decision making; Personal health record; Personalized healthcare; Self management; Vital sign; Patient treatment; Planning; Sustainable development; Medical computingconference paper10.1109/TENCON.2012.64122262-s2.0-84873977306