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Assessing the acceptability of an Automated Health Records Information System in the universities: a technology acceptance model approach |
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| รหัสดีโอไอ | |
| Creator | Rhyan Jay C Signe |
| Title | Assessing the acceptability of an Automated Health Records Information System in the universities: a technology acceptance model approach |
| Contributor | Auda Mae P Signe |
| Publisher | Faculty of Associated Medical Sciences, Khon Kaen University, Thailand |
| Publication Year | 2567 |
| Journal Title | Archives of Allied Health Sciences |
| Journal Vol. | 36 |
| Journal No. | 3 |
| Page no. | 11-20 |
| Keyword | Automated health records information system, Technology acceptance model, University clinics |
| URL Website | https://he01.tci-thaijo.org/index.php/ams/about |
| Website title | Archives of Allied Health Sciences (Arch AHS) |
| ISSN | 2730-1990 |
| Abstract | This research assessed the acceptability of the Automated Health Records Information System in a state university clinic located in Cebu, Philippines, and aimed to enhance healthcare management in the digital era. Employing the Technology Acceptance Model, the study examined user perceptions and satisfaction with the software, providing insights into its effectiveness in improving workflow efficiency and patient care. The study employed a weighted mean utilizing a five-point Likert scale to evaluate the acceptability of the software and a four-point scale for expert validation. A descriptive correlational method was utilized, applying Pearson r to analyze the degree of correlation. The study revealed that the software was highly acceptable based on perceived usefulness, ease of use, intention to use, and actual use, as rated by the respondents. Moreover, the technical requirements of the software, including design, features, and program content, were also positively rated. The null hypotheses were not rejected as there were no significant interrelationships among the four acceptability variables, indicating that other factors, such as the type of institutional support, user’s characteristics, experiences, and skills, may influence the inter-correlation acceptability of variables. Respondents highlighted challenges in software navigation and expressed the need for comprehensive training. Despite these challenges, the study strongly recommended the acceptability and adoption of the Automated Health Records Information System to enhance healthcare delivery within university clinics, emphasizing its role in seamlessly managing health records for all university personnel and students, in alignment with broader institutional objectives aimed at improving overall well-being and organizational efficiency. |
