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Home-Based Long-Term Care Management Systems in Taiwan: Application Experiences from a Qualitative Study
Yi-Fen Wang, Ya-Hui Lee, Hsien-Ta Cha
Proceedings of the 16th International Conference on Society and Information Technologies: ICSIT 2025, pp. 35-40 (2025); https://doi.org/10.54808/ICSIT2025.01.35
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The 16th International Conference on Society and Information Technologies: ICSIT 2025
Virtual Conference March 25 - 28, 2025 Proceedings of ICSIT 2025 ISSN: 2771-6368 (Print) ISBN (Volume): 978-1-950492-83-1 (Print) |
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Abstract
As Taiwan transitions into a super-aged society, the demand for long-term care services has surged alongside demographic shifts, particularly in home-based care institutions. However, given the constraints of caregiving workforce resources, leveraging digital technology systems to enhance service efficiency has become a critical issue. This study adopts a qualitative phenomenological approach to explore the application experiences of home service management systems in Taiwan’s home-based long-term care institutions, focusing on the benefits, challenges, and coping strategies associated with system implementation. The results indicate that the system provides several advantages for managers, including: (a) intelligent scheduling, which streamlines paperwork and improves efficiency; (b) precise calculation of service fees, reducing administrative workload and saving time; and (c) location-based check-in functionality, effectively monitoring the attendance of home service workers. For home service workers, (d) the system allows instant access to case records and service details. However, users also face challenges, such as: (a) standardized module functions that fail to meet the individual needs of institutions; (b) inaccuracies in location-based check-in due to network quality issues; (c) difficulties in system adaptation for middle-aged and older home service workers; and (d) the need for a more age-friendly system interface design. To address these challenges, institutions have adopted strategies such as: (a) implementing verification measures to confirm attendance and service quality; and (b) utilizing diverse learning models to help middle-aged and older home service workers adapt to digital management systems. The findings of this study provide valuable insights for developers of gerontechnology systems and services, offering practical references for enhancing the quality of long-term care services.
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