Yi-Syuan Wu, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Sen-Yeong Kao, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Hsyien-Chia Wen, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Min-Huei Hsu, Department of Information of Ministry of health and Welfare, Taipei, Taiwan, Province of China Fu-Chung Wang, National Health Insurance Administration, Ministry of health and Welfare, Taipei, Taiwan, Province of China Yu-Tien Chang, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Chung-Tay Yao, Department of Surgery, Cathay General Hospital, Taipei, Taiwan, Province of China Yu-Ching Chou, Department of Epidemiology, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Sui-Lung Su, Department of Epidemiology, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Hsiu-Ling Chou, Department of Nursing, Far Eastern Memorial Hospital & Oriental Institute of Technology, New Taipei, Taiwan, Province of China Chia-Yi Lee, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Harn-Jing Terng, Advpharma, Inc, Taipei, Taiwan, Province of China Chi-Shuan Huang, Division of Colorectal Surgery, Cheng Hsin Rehabilitation Medical Center, Taipei, Taiwan, Province of China Yun-Wen Shih, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Chian-Yu Lu, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Kang-Hua Chen, Department of Nursing, School of Medicine, Chang Gung University, Taipei, Taiwan, Province of China Chi-Wen Chang, Department of Nursing, School of Medicine, Chang Gung University, Taipei, Taiwan, Province of China Ching-Huang Lai Lai, Department of Epidemiology, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Chen-En Jian, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Chiao-Huang Lin, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Chein-Ting Chen, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Ke-Shin Lin, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China I-Chien Chen, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan, Province of China Chi-Ming Chu*, Division of Biomedical Statistics and informatics, School of Public Health, National Defense Medical Center, Taipei, Taiwan, Province of China Track: Research Presentation Topic: Personal health records and Patient portals Presentation Type: Poster presentation Submission Type: Single Presentation Last modified: 2014-11-24

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Background: One of Medicine 2.0 empowers people authorized selves healthcare in medicine. With the fast progress in technology, medical records in a hospital have been electronized. Different opinions on the format and ways of exchange for these electronic medical records have been raised. In order to promote informationization of medicine in medical facilities and electronization of medical records, the government established Electronic Medical Record Promotion Section and Electronic Medical Record Exchange Center, Ministry of Health and Welfare. The medical records in the medical facilities are electronized and can be circulated. In this way, patients will not be prescribed and examined repetitively so that the cost will be reduced, and the quality of medical care can be promoted. This study aims to investigate how well people use the electronic medical record platform. They can make good use of their health records through personalized electronic medical record platform. By inquiring personal health record and medical record online, they are able to manage their own health conditions and understand their history of medical care. It is expected that medical records can be transparent so that people can have access to their records and discuss their conditions with their friends, relatives, and related medical personnel easily. The autonomy of medical records can then return back to the patients.
Methods: The subjects of this study will use public networks, completed the questionnaire before the first personal electronic medical record platform to watch the introductory movie, the structured questionnaire respondents. During the investigation of the Republic of China 103 years ending March 31 to 103 years on April 9, a total of 350 valid questionnaires . After sorting through the questionnaire data, respectively, using IBM SPSS Statistics 21 and Amos 21 for descriptive statistic, Structural Equation Moodeling statistical analysis and the importance - performance analysis.
Result: The model for the best explanation is conducted through Confirmatory Factor Analysis. 𝑥2/𝑑𝑓=2.632. GFI is 0.847. AGFI is 0.814. RMSEA is 0.068. The value shows that it has excellent goodness of fit under the integral model. Perceived ease of use can explain the 74% variation of Perceived usefulness, while perceived usefulness and perceived ease of use can explain the 67.4% variation of users' attitude. Other variables can explain the 72.6% variation of users' willingness. Perceived ease of use has positive influence on perceived usefulness, while perceived usefulness has positive influence on users' attitude. That is, people think using personalized electronic medical records helps them understand their medical history better, so they value it more highly. Perceived ease of use has positive influence on users' attitude. The users would value personalized electronic medical record platform more highly if it is easier to be used.
Conclusion: This study explores what influences people's views on the promotion of personalized electronic medical records. The model constructed according to the study meets goodness to fit, and the results conform to technology acceptance model. Therefore, the government and hospitals can promote a personalized electronic medical record platform in terms of its usefulness and usability. Although most people have positive attitude toward the platform, the mechanism for the protection of information privacy and security shall be taken into consideration so as to promote their willingness to use it.

Key words: Electronic Medical Record, Personal Health Record, E.M.R Exchange Center, Importance - Performance Analysis