Investigating Healthcare Professionals’ Acceptance of Cloud Health Technologies in Rural Healthcare Centers
DOI:
https://doi.org/10.56294/mw2023136Keywords:
Cloud Health Technologies, Healthcare Adoption, Rural Healthcare Centers, Digital Health Solutions, Medical Technology Acceptance, Healthcare Professionals’ PerceptionAbstract
Cloud health technologies have the potential to enhance healthcare accessibility and service efficiency, particularly in rural areas where medical resources are limited. These technologies enable remote consultations, digital patient records, and real-time data exchange, improving decision-making and patient outcomes. It investigates healthcare professionals' acceptance of cloud health technologies in rural healthcare centers by examining key determinants influencing adoption. A cross-sectional survey was conducted among 320 healthcare professionals selected from various rural hospitals. A structured questionnaire, adapted from established technology acceptance models, was used for data collection. It employs a theoretical framework that integrates technological readiness, perceived usefulness, organizational support, and individual adaptability, analyzed using structural equation modeling. The application of cloud health technologies in rural healthcare involves integrating cloud-based platforms for patient management, medical collaboration, and secure health information exchange. The adoption process depends on factors, such as rural healthcare centers, secure health information exchange, privacy and security concerns, cloud-based patient management, medical collaboration support, and secure patient access and control. Statistical analyses, including path analysis, reliability testing, and multiple regression modeling, were used to assess relationships among key variables. The findings provide actionable insights for healthcare policymakers and administrators, emphasizing the need for capacity-building programs and infrastructure development to ensure sustainable adoption in rural healthcare settings.
References
[1] Rajabion L, Shaltooki AA, Taghikhah M, Ghasemi A, Badfar A. Healthcare big data processing mechanisms: The role of cloud computing. International Journal of Information Management. 2019 Dec 1;49:271-89. https://doi.org/10.1016/j.ijinfomgt.2019.05.017
[2] Scott BK, Miller GT, Fonda SJ, Yeaw RE, Gaudaen JC, Pavliscsak HH, Quinn MT, Pamplin JC. Advanced digital health technologies for COVID-19 and future emergencies. Telemedicine and e-Health. 2020 Oct 1;26(10):1226-33. https://doi.org/10.1089/tmj.2020.0140
[3] Tursunbayeva A. Human resource technology disruptions and their implications for human resources management in healthcare organizations. BMC health services research. 2019 Apr 29;19(1):268. https://doi.org/10.1186/s12913-019-4068-3
[4] Sivan R, Zukarnain ZA. Security and privacy in cloud-based e-health system. Symmetry. 2021 Apr 23;13(5):742. https://doi.org/10.3390/sym13050742
[5] Celesti A, Ruggeri A, Fazio M, Galletta A, Villari M, Romano A. Blockchain-based healthcare workflow for tele-medical laboratory in federated hospital IoT clouds. Sensors. 2020 May 2;20(9):2590. https://doi.org/10.3390/s20092590
[6] Dang TH, Nguyen TA, Hoang Van M, Santin O, Tran OM, Schofield P. Patient-centered care: transforming the health care system in Vietnam with support of digital health technology. Journal of Medical Internet Research. 2021 Jun 4;23(6):e24601. https://doi.org/10.2196/24601
[7] Al-Marsy A, Chaudhary P, Rodger JA. A model for examining challenges and opportunities in use of cloud computing for health information systems. Applied System Innovation. 2021 Feb 22;4(1):15. https://doi.org/10.3390/asi4010015
[8] Idoga PE, Toycan M, Nadiri H, Çelebi E. Factors affecting the successful adoption of e-health cloud based health system from healthcare consumers’ perspective. IEEE Access. 2018 Nov 23;6:71216-28. https://doi.org/10.1109/ACCESS.2018.2881489
[9] Meri A, Hasan MK, Danaee M, Jaber M, Safei N, Dauwed M, Abd SK, Al-bsheish M. Modelling the utilization of cloud health information systems in the Iraqi public healthcare sector. Telematics and Informatics. 2019 Mar 1;36:132-46. https://doi.org/10.1016/j.tele.2018.12.001
[10] Baral MM, Verma A. Cloud computing adoption for healthcare: An empirical study using SEM approach. FIIB Business Review. 2021 Sep;10(3):255-75. https://doi.org/10.1177/23197145211012505
[11] Gu D, Yang X, Deng S, Liang C, Wang X, Wu J, Guo J. Tracking knowledge evolution in cloud health care research: Knowledge map and common word analysis. Journal of medical Internet research. 2020 Feb 25;22(2):e15142. https://doi.org/10.2196/15142
[12] Ermakova T, Fabian B, Kornacka M, Thiebes S, Sunyaev A. Security and privacy requirements for cloud computing in healthcare: Elicitation and prioritization from a patient perspective. ACM Transactions on Management Information Systems (TMIS). 2020 May 3;11(2):1-29. https://doi.org/10.1145/3386160
[13] Senthilkumar S, Brindha K, Kryvinska N, Bhattacharya S, Reddy Bojja G. SCB-HC-ECC–based privacy safeguard protocol for secure cloud storage of smart card–based health care system. Frontiers in Public Health. 2021 Sep 30;9:688399. https://doi.org/10.3389/fpubh.2021.688399
[14] Li CT, Shih DH, Wang CC. Cloud-assisted mutual authentication and privacy preservation protocol for telecare medical information systems. Computer methods and programs in biomedicine. 2018 Apr 1;157:191-203. https://doi.org/10.1016/j.cmpb.2018.02.002
[15] Cheng YM. Drivers of physicians’ satisfaction and continuance intention toward the cloud-based hospital information system. Kybernetes. 2021 Mar 27;50(2):413-42. https://doi.org/10.1108/K-09-2019-0628.
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Copyright (c) 2023 Sameer Rastogi, Sudhansu Sekhar Patra , Nayana Borah (Author)

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