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Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model

Author

Listed:
  • Jui-Che Tu

    (Graduate School of Design, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan)

  • Shi Chen Luo

    (Graduate School of Design, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan)

  • Yi-Lin Lee

    (Bachelor Program in Industrial Technology, National Yunlin University of Science & Technology, Yunlin 640301, Taiwan)

  • Ming-Feng Shih

    (National Taiwan University Hospital Yunlin Branch, Yunlin 640301, Taiwan)

  • Shu-Ping Chiu

    (Lin Fengmian Academy of Fine Arts, Jiaying University, Meizhou 514015, China)

Abstract

The demand for health care has increased with the development of global technology and the rise of public health awareness, and smart service systems have also been introduced to medical care to relieve the pressure on hospital staff. However, the survey found that patients’ willingness to use smart services at the time of consultation has not improved. The main research purpose of this study was to understand the willingness of patients from various groups to use smart medical service systems and to explore the influencing factors on patients’ use of smart service systems in hospitals through the technology acceptance model. This study distributed questionnaires in the outpatient area of National Taiwan University Hospital Yunlin Branch, and a total of 202 valid questionnaires were obtained. After related research and regression analysis, it was found that patients paid more attention to the benefits and convenience brought by smart services. If patients believed that smart services were trustworthy and beneficial to themselves, their usage intention and attitude would be positive. The results of this study are summarized by the following four points: (1) Designed according to the cultural conditions of different regions; (2) think about design from the patient’s perspective; (3) strengthen the explanation and promotion of smart services; and (4) add humanized care and design. This study could be used as a reference for hospitals to improve their service quality and systems in the future.

Suggested Citation

  • Jui-Che Tu & Shi Chen Luo & Yi-Lin Lee & Ming-Feng Shih & Shu-Ping Chiu, 2022. "Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6059-:d:816922
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    References listed on IDEAS

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    1. Wenjia Li & Shengwei Shen & Jidong Yang & Qinghe Tang, 2021. "Internet-Based Medical Service Use and Eudaimonic Well-Being of Urban Older Adults: A Peer Support and Technology Acceptance Model," IJERPH, MDPI, vol. 18(22), pages 1-16, November.
    2. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    3. Hung-Wen Tsai & Su-Wen Huang & Yin-Lurn Hung & Yu-Shan Hsu & Chien-Chung Huang, 2021. "Use of the Smart Lean Method to Conduct High-Quality Integrated Perioperative Management Prior to Hospitalization," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    4. Sara Chimento-Díaz & Pablo Sánchez-García & Cristina Franco-Antonio & Esperanza Santano-Mogena & Isabel Espino-Tato & Sergio Cordovilla-Guardia, 2022. "Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age," IJERPH, MDPI, vol. 19(5), pages 1-18, March.
    5. Chung-Hung Tsai, 2014. "Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems," IJERPH, MDPI, vol. 11(5), pages 1-21, May.
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