Translated Titles

Verifications of a cloud medical information system with data quality framework





Key Words

醫療資訊系統 ; 資料品質框架 ; OpenMRS ; 雲端運算 ; cloud computing ; medical information systems ; data quality framework ; openmrs



Volume or Term/Year and Month of Publication


Academic Degree Category




Content Language


Chinese Abstract


English Abstract

Medical Information System is able to improve the efficiency of health care professionals and reduces the work load, because Cloud Computing is becoming popular and being used widely in different industries, which brings huge transformation for information technology in recent years. There are many advantages after deploy Medical Information System into Cloud Computing. However, due to the conservativeness of health industry and its complex information, the integration of Medical Information System is usually slower and cautiously compare with other industries. Secondly, the structure of Medical Information System base on Cloud Computing is facing many problems under traditional modes. This research is base on the data privacy, accuracy, completeness and availability of data quality framework, verify and strengthen Medical Information System structure of Cloud Computing, therefore Medical Information System can provide data with good quality to health industry. The research shows that after the database encryption, it can identify and distinguish the source of authority while reading the case history, and apply mask or fuzzy display, and increase the security level when the database is being hacked, to lower the possibility of case history leak, to reinforce patient privacy. After the health care professionals input different data, the system will compare them and calculate if they are logical or not under a usual standard, to ensure the input data are accurate, meanwhile scheduled system check and warning alert can notify health care professionals to modify and maintain the data, to improve data accuracy. Building database synchronization is to verify the integrity and capability and to test system load level. The research shows that the system can provide over than 200 transactions per second and is capable for small and medium scale medical units to use. Verify the system service quality while the medical system under multiple connection usage, the results show that parts of the connections have poor quality when the demand is high, and the system can be expanded by the service provided by Cloud Computing supplier. The research uses OpenMRS Medical Information System as an example, to integrate it with NCHC cloud platform, the construction of the systems deployed in the cloud and the facet authentication can provide references for medical institutions to evaluate adding system into Cloud Computing.

Topic Category 商學院 > 資訊管理研究所
社會科學 > 管理學
  1. 蔡宗宏、楊朝堂(2006)。員工工作環境知覺對醫療資訊系統三種品質與使用者滿意影響之研究-以某醫學中心為例。健康管理學刊,4(2), 137-153。
  2. 楊漢湶、劉立、郭燕婷(2013)。醫療與雲端之七-雲端智慧醫療應用。醫院雙月刊,46(5), 1-7。
  3. Sultan, N. (2014). Making use of cloud computing for healthcare provision: Opportunities and challenges. International Journal of Information Management, 34(2), 177-184.
  4. Fiona Fuihoon Nah. (2004). A study on tolerable waiting time: how long are Web users willing to wait?. from http://sighci.org/uploads/published_papers/bit04/BIT_Nah.pdf/
  5. Kuo, A. (2011). Opportunities and Challenges of Cloud Computing to Improve Health Care Services. Journal of Medical Internet Research. from http://www.ncbi.nlm.nih.gov/pmc/articles/pmc3222190/
  6. Liu, J., Huang, X., & Liu, J. K. Secure sharing of Personal Health Records in cloud computing: Ciphertext-Policy Attribute-Based Signcryption. Future Generation Computer Systems(0).
  7. Liaw, S. T., Rahimi, A., Ray, P., Taggart, J., Dennis, S., de Lusignan, S., . . . Talaei-Khoei, A. (2013). Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature. Int J Med Inform, 82(1), 10-24.
  8. 中文文獻
  9. 陳銘崑(2012)。醫療產業導入雲端服務關鍵成功因素之研究。from http://ir.lib.ntut.edu.tw/wSite/ct?mp=ntut&xItem=53903&ctNode=449
  10. 衛生福利部統計處(2014)。102年醫療院所概況。 from http://www.mohw.gov.tw/cht/DOS/Statistic.aspx?f_list_no=312&fod_list_no=5051/
  11. 衛生福利部(2005)。醫院資訊系統規範2.0。 from emr.mohw.gov.tw/doc/醫院資訊系統規範推動計畫.pdf/
  12. DIGITIMES(2013)。醫療、保健、照護加防疫 健康照護上雲端。 from http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?CnlID=13&Cat=50&id=355732
  13. 英文文獻
  14. Regalado, A. (2011). Who coined the term “cloud computing”? The BusinessTechnology Forum, from http://www.thebusinesstechnologyforum.com/2011/10/who-coined-the-term-cloud-computing/
  15. Katz, R., Goldstein, P., & Yanosky, R. (2010). Cloud computing in higher, EDUCAUSE, from http://net.educause.edu/section params/conf/CCW10/highered.pdf/
  16. Seebregts, C. J., Mamlin, B. W., Biondich, P. G., Fraser, H. S., Wolfe, B. A., Jazayeri, D., . . . Open, M. R. S. I. N. (2009). The OpenMRS Implementers Network. Int J Med Inform, 78(11), 711-720.
  17. Andrea Malcolm. (1998). Poor data quality costs 10% of revenues, survey reveals, from http://www.computerworld.co.nz/article/516687/poor_data_quality_costs_10_revenues_survey_reveals/
  18. Yunyong, G., Mu-Hsing, K., & Sahama, T. (2012, 3-6 Dec. 2012). Cloud computing for healthcare research information sharing. Paper presented at the Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on.
  19. Sobhy, D., El-Sonbaty, Y., & Abou Elnasr, M. (2012, 10-12 Dec. 2012). MedCloud: Healthcare cloud computing system. Paper presented at the Internet Technology And Secured Transactions, 2012 International Conference for.
  20. Karolyn Kerr, Tony Norris & Rosemary Stockdale. (2007). Data Quality Information and Decision Making: A Healthcare Case Study, Association for Information Systems, from http://www.researchgate.net/publication/228354908_Data_quality_information_and_decision_making_a_healthcare_case_study
  21. Almutiry, O., Wills, G., Alwabel, A., Crowder, R., & WaIters, R. (2013, 24-26 June 2013). Toward a framework for data quality in cloud-based health information system. Paper presented at the Information Society (i-Society), 2013 International Conference on.
  22. ERIC. (2014). top 10 health technology hazards for 2014. from https://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&frm=1&source=web&cd=2&cad=rja&uact=8&ved=0CCUQFjAB&url=https%3A%2F%2Fwww.ecri.org%2FResources%2FWhitepapers_and_reports%2FTop_Ten_Technology_Hazards_2015.pdf&ei=f0x0VZemNomK8QXPsYGwAg&usg=AFQjCNEd1-W2lba396s_zP6xoyolCFZnXw&bvm=bv.95039771,d.dGc/
  23. ERIC. (2013). top 10 health technology hazards for 2013. from http://www.samtit.nu/filarkiv/nya_filarkivet/sakerhet/health_devices_top_10_hazards_2013.pdf
  24. John Foley. (2013 ). 10 Game-Changing Developments In Government Clouds, Retrieved October 21 , 2012 , from http://www.forbes.com/sites/oracle/2013 /07/29/10-new-game-changingdevelopments-in-government-clouds/
  25. cloud-council.org. (2012). Impact of Cloud Computing on Healthcare. from http://www.cloud-council.org/cscchealthcare110512.pdf
  26. Snedaker, S., & Rima, C. (2014). Business Continuity and Disaster Recovery in Healthcare. In S. Snedaker & C. Rima (Eds.), Business Continuity and Disaster Recovery Planning for IT Professionals (Second Edition) (pp. 275-336). Boston: Syngress.
  27. Wager, K. A., Lee, F. W., & Glaser, 1. P. (2009). Health Care Information Systems: A Practical Approach for Health Care Management (p. 5). Wiley. Retrieved from http://books.google.co.uklbooks?id=nOXOdTc40_kC
  28. AHIMA. (2012). Data Quality Management Model (Updated). from http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_049664.hcsp?dDocName=bok1_049664
  29. Rui, Z., & Ling, L. (2010, 5-10 July 2010). Security Models and Requirements for Healthcare Application Clouds. Paper presented at the Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on.
  30. CNN. (2014). Hospital network hacked, 4.5 million records stolen. from http://money.cnn.com/2014/08/18/technology/security/hospital-chs-hack/