Research and Development of Clinical Risk Management System in Nursing with an Online Operating System via Cloud Computing

Main Article Content

Jitrada Pongtharatik
Thunchanok Leetheera
Sichon Tongma
Vanida Durongrittichai

Abstract

This research and development were conducted in 4 phases: 1) system component study, key informants were 10 nursing instructors and professional nurses who were clinical instructors. Data were collected through in-depth interviews and analyzed using content analysis based on Colaizzi's method. 2) Development of the nursing clinical risk management system. 3) End-user’s satisfaction study, the sample comprised 20 nursing instructors and professional nurses who were clinical instructors. Data were collected using a satisfaction questionnaire with a Cronbach's alpha coefficient of .96, data were analyzed using descriptive statistics. 4) The system was improved based on the received recommendations. The research findings revealed that:


1. The data components of the nursing clinical risk management system include 1) risk identification, analysis, evaluation, and management; 2) risk report forms; and 3) report components for executive management decision-making.


2. The developed nursing clinical risk management system was based on a freely accessible application. Its main icons included: 1) incident recording, 2) statistics, 3) contact instructor, and 4) emergency notification.


3. The satisfaction score was at the highest level in all aspects, namely: 1) system components, averaged to 4.54 (SD = .62), 2) system usability, averaged to 4.44 (SD = .71), and 3) Benefits to nursing clinical risk management, averaged to 4.45 (SD = .71)


4. Improvements based on suggestions included: 1) adjusting the background color to a lighter shade of pink; 2) adding the hospital name; and 3) adding the contact number.


Recommendations for administrators and faculty responsible for risk management in the Faculty of Nursing should implement the notification system for reporting incidents during nursing students' clinical practicums and utilize the statistical summary data from the system to develop future risk management plans.

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How to Cite
Pongtharatik, J. ., Leetheera, T., Tongma, S. ., & Durongrittichai, V. . (2025). Research and Development of Clinical Risk Management System in Nursing with an Online Operating System via Cloud Computing. Journal of Prachomklao College of Nursing, Phetchaburi Province, 8(1), 83–99. retrieved from https://he01.tci-thaijo.org/index.php/pck/article/view/275443
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Research Articles

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