بررسی تأثیر رایانش ابری بر سیستم سلامت الکترونیک
محورهای موضوعی : بررسی وضعیت مطلوب رشد فناوری در کشور و چگونگی رسیدن به آنمحسن قره خانی 1 , سیده ام سلمه پورهاشمی 2
1 - تهران/ موسسه آموزش عالی الکترونیکی ایرانیان
2 - تهران/ دانشگاه آزاد اسلامی واحد تهران مرکز
کلید واژه: رایانش ابری سیستم سلامت الکترونیک فرایند سلسله مراتبی (AHP) حداقل مربعات جزئی (PLS),
چکیده مقاله :
رایانش ابری به‌عنوان یک پارادایم جدید برای میزبانی و ارائه خدمات از طریق اینترنت مطرح گردیده است. رایانش ابری می‌تواند مزایای متعددی برای سازمان‌ها شامل کاهش هزینه و انعطاف‌پذیری داشته باشد. هدف اصلی پژوهش بررسی عوامل مؤثر بر پذیرش سیستم سلامت الکترونیک مبتنی بر رایانش ابری در تعدادی از بیمارستان‌های دولتی در سطح شهر تهران است. در این مطالعه به تجزیه و تحلیل مسیر با استفاده از فرایند سلسله مراتبی (AHP) و حداقل مربعات جزیی (PLS) پرداخته شد. با بررسی ادبیات مربوط به مدل فناوری، سازمان، محیط و تئوری انتشار نوآوری، 4 عامل اصلی و 17 زیر معیار با توجه به نظرات متخصصین، اساتید دانشگاهی و کارشناسان فناوری اطلاعات و سلامت براساس فرایند تحلیل سلسله مراتبی و روش حداقل مربعات جزئی مشخص گردید. نتایج نشان داد هنگام اتخاذ سیستم سلامت الکترونیک مبتنی بر رایانش ابری عوامل محیطی و عوامل فناوری باید در نظر گرفته شود. نتایج این پژوهش می‌تواند تأثیر زیادی بر سازمان‌هایی همچون سازمان بهداشت و درمان که نگران این موضوع هستند داشته باشد.
Cloud computing was proposed as a new paradigm to host and provide services via Internet. Cloud computing can have various advantages for organizations including reduction in costs and increased flexibility. Nonetheless, transition from the current system on the cloud computing is not a simple task because it depends on various of factors. In this applied research, the main purpose is to investigate the influential factors in admission of e-health system based on cloud computing in a number of public hospitals in Tehran. In the present study, path analysis was done using the Analytic Hierarchy Process (AHP) and Partial Least Squares (PLS) to perceive the factors influencing the admission of cloud computing in e-health system from IT employees' viewpoint. Reviewing the related literature on Technology-Organization-Environment (TOE) Model and the theory of Diffusion of Innovations (DOI), four main factors and 17 sub criteria were identified. These factors and sub-criteria were determined according to comments of specialists, university professors and IT and health experts based on the Analytic Hierarchy Process and Partial Least Squares. Results show that environmental factors such as regulations, competitive pressure, commercial pressure and organizational structure, and technological factors such as accessibility, reliability, security, privacy and trust should be considered as organizational objectives when adopting the e-health system based on cloud computing. Results of the present study can play an important role in organizations such as the ministry of health and medical education that are concern about this issue.
1- J. W. Lian, D. C. Yen, and Y. T. Wang, "An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital," International Journal of Information Management, vol. 34, pp. 28-36, 2014.
2- S. P. Ahuja, S. Mani, and J. Zambrano, "A Survey of the State of Cloud Computing in Healthcare," Network and Communication Technologies, vol. 1, 2012.
3- M. Masrom and A. Rahimli, "A review of cloud computing technology solution for healthcare system," Research Journal of Applied Sciences, Engineering and Technology, vol. 8, pp. 2150-2153, 2014.
4- O. Ali, J. Soar, and A. Shrestha, "Perceived potential for value creation from cloud computing: a study of the Australian regional government sector," Behaviour & Information Technology, vol. 37, pp. 1157-1176, 2018.
5- P. Mell and T. Grance, "The NIST definition of cloud computing," IEEE/ACM Transactions on Networking: A Joint Publication of the IEEE Communications Society, the IEEE Computer Society, and the ACM With Its Special Interest Group on Data Communications and Network, vol. 53, 2011.
6- Y. K. Dwivedi and N. Mustafee, "It's unwritten in the Cloud: the technology enablers for realising the promise of Cloud Computing," Journal of Enterprise Information Management, vol. 23, pp. 673-679, 2010.
7- P. K. Senyo, E. Addae, and R. Boateng, "Cloud computing research: A review of research themes, frameworks, methods and future research directions," International Journal of Information Management, vol. 38, pp. 128-139, 2018.
8- Y. Zhao, Q. Ni, and R. Zhou, "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age," International Journal of Information Management, vol. 43, pp. 342-350, 2018/12/01/ 2018.
9- H. S. G. Pussewalage and V. A. Oleshchuk, "Privacy preserving mechanisms for enforcing security and privacy requirements in E-health solutions," International Journal of Information Management, vol. 36, pp. 1161-1173, 2016.
10- N. Sultan, "Discovering the potential of cloud computing in accelerating the search for curing serious illnesses," International Journal of Information Management, vol. 34, pp. 221-225, 2014.
11- R. Agarwal, G. Gao, C. DesRoches, and A. K. Jha, "Research commentary—The digital transformation of healthcare: Current status and the road ahead," Information Systems Research, vol. 21, pp. 796-809, 2010.
12- C. G. Kochan, D. R. Nowicki, B. Sauser, and W. S. Randall, "Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework," International Journal of Production Economics, vol. 195, pp. 168-185, 2018.
13- F. N. Memon, A. M. Owen, O. Sanchez-Graillet, G. J. Upton, and A. P. Harrison, "Identifying the impact of G-Quadruplexes on Affymetrix 3′ Arrays using Cloud Computing," Journal of integrative bioinformatics, vol. 7, pp. 12-20, 2010.
14- L. Griebel, H.-U. Prokosch, F. Köpcke, D. Toddenroth, J. Christoph, I. Leb, et al., "A scoping review of cloud computing in healthcare," BMC medical informatics and decision making, vol. 15, p. 17, 2015.
15- M.-H. Kuo, "Opportunities and challenges of cloud computing to improve health care services," Journal of medical Internet research, vol. 13, p. e67, 2011.
16- P. Bannerman, "Cloud computing adoption risks: state of play," Governance, vol. 3, p. 2.0, 2010.
17- A. Rosenthal, P. Mork, M. H. Li, J. Stanford, D. Koester, and P. Reynolds, "Cloud computing: a new business paradigm for biomedical information sharing," Journal of biomedical informatics, vol. 43, pp. 342-353, 2010.
18- L. G. Tornatzky and M. Fleischer, "The processes of technological innovation. Issues in organization and management series," Lexington Books. Available at http://www. amazon. com/Processes-Technological-Innovation-Organization/Management/dp/0669203483. Accessed June, 1990.
19- E. M. Rogers, "Diffusion of innovations - 3rd Edition," Macmillian Publishing Co., p. 3rd Edition., 1995.
20- T. Oliveira and M. F. Martins, "Literature Review of Information Technology Adoption Models at Firm Level," Electronic Journal Information Systems Evaluation, vol. 14, pp. 110-121, 2011.
21- R. Somula, C. Anilkumar, B. Venkatesh, A. Karrothu, C. P. Kumar, and R. Sasikala, "Cloudlet services for healthcare applications in mobile cloud computing," in Proceedings of the 2nd International Conference on Data Engineering and Communication Technology, 2019, pp. 535-543.
22- S. Rallapalli, R. Gondkar, and U. P. K. Ketavarapu, "Impact of processing and analyzing healthcare big data on cloud computing environment by implementing hadoop cluster," Procedia Computer Science, vol. 85, pp. 16-22, 2016.
23- S. K. Sharma, A. H. Al-Badi, S. M. Govindaluri, and M. H. Al-Kharusi, "Predicting motivators of cloud computing adoption: A developing country perspective," Computers in Human Behavior, vol. 62, pp. 61--69, 2016.
24- F. Safari, N. Safari, A. Hasanzadeh, and A. R. Ghatari, "Factors affecting the adoption of cloud computing in small and medium enterprises," International Journal of Business Information Systems, vol. 20, p. 116, 2015.
25- J. W. Lian, "Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study," International Journal of Information Management, vol. 35, pp. 98-109, 2015.
26- B. Y. Chang, P. H. Hai, D. W. Seo, J. H. Lee, and S. H. Yoon, "The determinant of adoption in cloud computing in Vietnam," in 2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013, ed, 2013, pp. 407-409.
27- C.-F. Liu, "Key Factors Influencing the Intention of Telecare Adoption: An Institutional Perspective," Telemedicine and e-Health, vol. 17, pp. 288-293, 2011.
28- A. S. H. Löhr, M. Winandy, "Securing the e-health cloud," In Proceedings of the 1st acm international health informatics symposium, pp. 220-229, 2010.
29- R. R. A. A. Nasiripour, H. Rahmani, "Effective elements on e-health deployment in Iran. Journal of hospital," vol. 10, pp. 53-62, 2011.
30- I. C. Chang, H. G. Hwang, M. C. Hung, M. H. Lin, and D. C. Yen, "Factors affecting the adoption of electronic signature: Executives' perspective of hospital information department," Decision Support Systems, vol. 44, pp. 350-359, 2007.
31- S. K. S.H. Siadat, "Investigating the Factors Affecting the Acceptance of Cloud Computing in Hospital Information Systems," 02nd International Conference on Information and Communication Technology, Tehran, Khadamat Bartar company. 2016.
32- N. M. Yaghoubi, J. Shukuhy, and H. R. Jafari, "Identifying and ranking key factors influencing the adoption of cloud computing in electronic health," Iranian Journal of Information Processing Management, vol. 30, 2015a.
33- N. M. Yaghoubi, H. R. Jafari, and J. Shukuhy, "Identification and ranking of the risk factors of cloud computing in state-owned organizations," Iranian Journal of Information Processing Management, vol. 30, pp. 759-784, 2015.
34- A. K. Z. R. Mirzaeyan Bahnamiri, "Identifying the factors affecting the adoption of cloud computing for small and medium enterprises," 1st E-Congress on technologies to achieve sustainable development, Tehran, Policies toward sustainable development center, MehrArvand University, 2015.
35- T. L. Saaty, "The analytic hierarchy process: planning," Priority Setting. Resource Allocation, MacGraw-Hill, New York International Book Company, p. 287, 1980.
36- S. V. As, "Authority structure and industrial accidents," Graduate School/Research Institute Systems, Organisation and Management, 2001.
37- R. Basole, "Mobilizing the enterprise: A conceptual model of transformational value and enterprise readiness," 26th ASEM National Conference Proceedings, pp. 364-372, 2005.
38- I. C. Chang, H. G. Hwang, D. C. Yen, and J. W. Lian, "Critical factors for adopting PACS in Taiwan: Views of radiology department directors," Decision Support Systems, vol. 42, pp. 1042-1053, 2006.
39- C. H. Lin, I. C. Lin, J. S. Roan, and J. S. Yeh, "Critical factors influencing hospitals' adoption of hl7 version 2 standards: An empirical investigation," Journal of Medical Systems, vol. 36, pp. 1183-1192, 2012.
40- S. E. Powelson and L. R. Ness, "An Examination of Small Businesses' Propensity to Adopt Cloud-Computing Innovation," Dissertation, vol. D.B.A., p. 237, 2012.
41- V. W. Ross, "Factors influencing the adoption of cloud computing by decision making managers," in ProQuest Dissertations and Theses, ed, 2010, pp. 97-n/a.
42- E. M. Rogers, "Diffusion of innovations, edn," Free Pres., New York, p. 448, 2003.
43- V. S. C. Ranganathan, "Rationality instrategic information technology decisions: The impact ofshared domain knowledge and ITunit structure," Decision Science, pp. 59-86, 2002.
44- G. W. N. Alkhater, R. Walters "Factors influencing an organisation's intention to adopt cloud computing in Saudi Arabia," IEEE 6thInternational Conference on Cloud Computing Technology and Science, pp. 1040-1044, 2014.
45- M. Alsanea and J. Barth, "Factors Affecting the Adoption of Cloud Computing in the Government Sector: A Case Study of Saudi Arabia," International Journal of Cloud Computing and Services Science (IJ-CLOSER), vol. 3, pp. 1-16, 2014.
46- O. J. Opala, S. S. M. Rahman, and A. A. Alelaiwi, "Enterprise cloud adoption: A quantitative exploratory research," in Handbook of Research on Architectural Trends in Service-Driven Computing vol. 2, ed, 2014, pp. 554-588.
47- M. J. Harvey and M. G. Harvey, "Privacy and security issues for mobile health platforms," Journal of the Association for Information Science and Technology, vol. 65, pp. 1305-1318, 2014.
48- O. Harfoushi, A. H. Akhorshaideh, N. Aqqad, M. A. Janini, and R. Obiedat, "Factors Affecting the Intention of Adopting Cloud Computing in Jordanian Hospitals," Communications and Network, vol. 08, pp. 88-101, 2016.
49- A. Alhammadi, C. Stanier, and A. Eardley, "The Determinants of Cloud Computing Adoption in Saudi Arabia," ed, 2015, pp. 55-67.
50- B. Calabrese and M. Cannataro, "Cloud computing in healthcare and biomedicine," Scalable Computing, vol. 16, pp. 1-18, 2015.
51- R. J.J, I. De La Torre, G. Fernández, M. López-Coronado, "Analysis of the security and privacy requirements of cloud-based electronic health records systems," Journal of medical Internet research, vol. 15(8), e186, 2013.
52- R. Ben-Zion, N. Pliskin, and L. Fink, "Critical Success Factors for Adoption of Electronic Health Record Systems: Literature Review and Prescriptive Analysis," Information Systems Management, vol. 31, pp. 296-312, 2014.
53- M. B. Alotaibi, "Exploring users' attitudes and intentions toward the adoption of cloud computing in Saudi Arabia: An empirical investigation," Journal of Computer Science, vol. 10, pp. 2315-2329, 2014.
54- D. E. Hyson, "Factors influencing the adoption of cloud computing by medical facility managers (Doctoral dissertation, Capella University)," 2014.
55- A. Tweel, "Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption," in ProQuest Dissertations and Theses, ed, 2012, pp. 164-n/a.
56- C. Low, Y. Chen, and M. Wu, "Understanding the determinants of cloud computing adoption," Industrial Management and Data Systems, vol. 111, pp. 1006-1023, 2011.
57- S. R. Simon, R. Kaushal, P. D. Cleary, C. A. Jenter, L. A. Volk, E. G. Poon, et al., "Correlates of Electronic Health Record Adoption in Office Practices: A Statewide Survey," Journal of the American Medical Informatics Association, vol. 14, pp. 110-117, 2007.
58- K. Antlová, "Motivation and barriers of ict adoption in small and medium-sized enterprises," E a M: Ekonomie a Management, vol. 12, pp. 140-155, 2009.
59- T. H. Lee, "Regression Analysis of Cloud Computing Adoption for US Hospitals," 2015.
60- H. P. Borgman, B. Bahli, H. Heier, and F. Schewski, "Cloudrise: Exploring cloud computing adoption and governance with the TOE framework," in Proceedings of the Annual Hawaii International Conference on System Sciences, ed, 2013, pp. 4425-4435.
61- O. F. Lee and M. L. Meuter, "The adoption of technology orientation in healthcare delivery: Case study of a large-scale hospital and healthcare system's electronic health record," International Journal of Pharmaceutical and Healthcare Marketing, vol. 4, pp. 355-374, 2010.
62- H. S. Hashim, Z. B. Hassan, and A. S. Hashim, "Factors Influence the Adoption of Cloud Computing : A Comprehensive Review," International Journal of Education and Research, vol. 3, pp. 295-306, 2015.
63- Y. Alshamaila, S. Papagiannidis, and F. Li, "Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework," Journal of Enterprise Information Management, vol. 26, pp. 250-275, 2013.
64- C. Matt, T. Hess, A. Benlian, and F. Wiesböck, "Options for Formulating a Digital Transformation Strategy," MIS Quarterly, vol. 15, pp. 123-125, 2016.
65- M. Goudarzvand Ghegini and S. Esmaeili, "The Study Of Organizational Culture Associated With Unified Theory Of Acceptance And Use Of Technology Model In Hospitals Of Rasht," Payavard Salamat, vol. 9, pp. 29-42, 2015.
