Acceptance and Utilization of Cloud-based Healthcare Risk Management System in Community hospital: A Case Study of a Community hospital in Uttaradit Province

Authors

  • Pongsakorn Thatsanarapan Master of Public Health, School of Health Science, Sukhothai Thammathirat Open University
  • Sasithorn Thanapop Associate Professor, School of Health Science, Sukhothai Thammathirat Open University

Keywords:

Acceptance, Utilization, Cloud-based Healthcare Risk Management System, Community hospital

Abstract

A community hospital in Uttaradit province has implemented Risk Management System, for personnel.  The objective of this study was to analyze the relationship between personal characteristic factors, information technology acceptance, and the system utilization among hospital staff. Data collected from the sample of 143 individuals through a questionnaire with content validity ranging from 0.67 to 1.00, and reliability of 0.825. The relationships were analyzed using Pearson’s chi-square statistics.           

The findings revealed that the majority of respondents were female (83.2%), with a mean age of 39.9 years. The overall acceptance level was high (62.2%), with perceived usefulness scoring the highest average and perceived ease of use scoring the lowest. System usage analysis showed that 70% of personnel had accessed the system at least once in the past month, with the most frequently used function being the recording of risk incident reports (57.1%). Statistical analysis indicated the nature of work and the department of work, had significant relationships with the system utilization. However, no significant relationship was found between information technology acceptance and the system utilization.

In conclusion, the hospital should promote awareness among direct patient care personnel about the importance of the system, easily accessible system, and providing regular training. These measures would enhance acceptance of system utilization, ensuring alignment with sustainable risk management practices.                   

References

Anuwichanont, J., Mechinda, P., and Kanraweekultana, N. (2023). Role of Technology Acceptance Model (TAM) Towards the Tourism of Eastern Province. RMUTT Global Business and Economics Review, 18(1), 39-56. https://so03.tci-thaijo.org/index.php/RMUTT-Gber/article/view/264322/178813

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.

Empeek. (2023). Everything You Need To Know About Healthcare Risk Management Software. https://empeek.com/insights/healthcare-risk-management-software/

Glenn D. Israel. (1992) Determining Sample Size. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610

Luenam, P. (2011). Concepts, Evolution, Technology Acceptance Model. Modern Management Frontier Journal, 9(1), 9-17. https://so04.tci-thaijo.org/index.php/stou-sms-pr/article/view/11933/10754

McGowan, J. (2023). Risk Management Event Evaluation and Responsibilities. In StatPearls. StatPearls Publishing.

Nakajima, K., Kurata, Y., and Takeda, H. (2005). A web-based incident reporting system and multidisciplinary collaborative projects for patient safety in a Japanese hospital. BMJ Quality & Safety, 14(2), 123-129.

Pawapaiboon, W., and Yutdhana, S. (2015). Factors Influencing English Language Teachers’ Acceptance of Using Tablets in Primary Schools under the Phitsanulok Primary Educational Service Area Office 1. Journal of Education and Innovation, 17(1), 138-149. https://sotci-thaijo.org/index.php/edujournal_nu/article/view/29714

Payakkapong, A. (2017). Technology Acceptance Model (TAM) For Marketing Competitive. Journal of Humanities and Social Sciences Thonburi University, 11(25), 128–136. https://so03.tci-thaijo.org/index.php/trujournal /article/view/85642/68116

Phuthong, T. and Mangsungnoen, N. (2017). Factors influencing the elderlyintention to use and adopt mobile health services. Veridian E-Journal,Silpakorn University, 10(3), 548-566. https://he02.tci-thaijo.org/index.php/Veridian-E-Journal/article/view/104191/85667

Poonsin, S. (2020). Opinions Towards Factors Promoting Digital Technology Adoption on Working of Personnel in Chonburi Provincial Public Health. (Independent study, Graduate School, Bangkok University)

Rad, M. S., Dahlan, H. M., Iahad, N. A., Nilashi, M., and Zakaria, R. (2014). Assessing the factors that affect adoption of social research network site for collaboration by researchers using multi-criteria approach. Journal of Theoretical & Applied Information Technology, 65(1), 170-182.

Rakprakobkij, N. (2015). Websites quality and technology acceptance affecting the satisfaction toward E-Job applications of users in Bangkok. (Independent study, Graduate School, Bangkok University)

Riskonnect. (2025). What is Healthcare Risk Management and Why Is It Important?. https://riskonnect.com/healthcare/healthcare-risk-management/

Singjai S., Pensirinapa, N., and Sitakalin, P. (2016). The Relationships between Personal Factors, Organizatioal Climate and Personnel Participation in Risk Management in Community Hospitals, Chiang Mai Province. Nursing Journal CMU, 43(5),162-172.https://he02.tci-thaijo.org/index.php/cmunursing/article/view/93398

Tansupong, S. (2015). Factors influencing the adoption of LINE application. (Independent study, Graduate School, Bangkok University)

Techakittheerapong, W. (2015). Factors affecting employee adoption of collaboration technology in Thai organizations. (Independent Study, Thammasat University).

The Healthcare Accreditation Institute. (2022). Hospital and Healthcare standards (5th ed.). Institute.

The Healthcare Accreditation Institute. (2024). Healthcare Risk Management System: HRMS User Manual. Institute.

The Healthcare Accreditation Institute. (n.d). NRLS: National Reporting and Learning System in Thailand. Institute.

Tsai, Chung-Hung. (2013). A Study on the Consumer Adoption Behaviors of Internet Bank. Journal of networks, 8(12), 2956-2963.

Venkatesh, V., L. Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

World Health Organization (WHO). (2023). Patient safety. https://www.who.int/news-room/fact-sheets/detail/patient-safety

Yodyot, K., Promaruk, T. and Sangsa N. (2019). Developing Process forRisk Management Report System Roi-Et Hospital,Roi-Et Province. Academic Journal of Community Public Health, 5(2), 27-41. https://he02.tci-thaijo.org/index.php/ajcph/article/view/247076/167917

Downloads

Published

2026-01-01

How to Cite

Thatsanarapan, P., & Thanapop, S. (2026). Acceptance and Utilization of Cloud-based Healthcare Risk Management System in Community hospital: A Case Study of a Community hospital in Uttaradit Province. Public Health Policy and Laws Journal, 12(1), 15–26. retrieved from https://so05.tci-thaijo.org/index.php/journal_law/article/view/284147

Issue

Section

Original Article