IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i2p171-d196146.html
   My bibliography  Save this article

Features of Online Hospital Appointment Systems in Taiwan: A Nationwide Survey

Author

Listed:
  • Po-Chin Yang

    (Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan)

  • Feng-Yuan Chu

    (Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan)

  • Hao-Yen Liu

    (Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan)

  • Mei-Ju Shih

    (Graduate Institute of Communication Engineering, National Taiwan University, Taipei 112, Taiwan)

  • Tzeng-Ji Chen

    (Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
    School of Medicine, National Yang-Ming University, Taipei 112, Taiwan)

  • Li-Fang Chou

    (Department of Public Finance, National Chengchi University, Taipei 116, Taiwan)

  • Shinn-Jang Hwang

    (Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
    School of Medicine, National Yang-Ming University, Taipei 112, Taiwan)

Abstract

Background: In the Internet era, many web-based appointment systems for hospitals have been established to replace traditional systems. Our study aimed to highlight the features of online appointment systems for hospitals in Taiwan, where patients can visit outpatient departments without a referral. Methods: All hospitals online appointment systems were surveyed in October 2018. Features of first-visit registrations were analyzed and stratified according to the hospitals’ accreditation levels. Results: Of the 417 hospitals, 59.7% (249) had public online appointment systems. For first-visit patients, only 199 hospitals offered the option of making appointments online from 7 to 98 (mean 38.9) days prior to the appointment itself. Before appointments, 68 (34.2%) hospitals recommended specialties for patients to choose according to their symptoms, and only 11 (5.5%) had a function for sending messages to doctors. After appointments, 176 (88.4%) provided links to real-time monitoring of outpatient service progress. Conclusions: More than half of the hospitals in Taiwan have public online appointment systems. However, most of these systems simply fulfill the function of registration, and rarely take the opportunity to improve efficiency by gathering information regarding patients’ medical history or reasons for making the appointment.

Suggested Citation

  • Po-Chin Yang & Feng-Yuan Chu & Hao-Yen Liu & Mei-Ju Shih & Tzeng-Ji Chen & Li-Fang Chou & Shinn-Jang Hwang, 2019. "Features of Online Hospital Appointment Systems in Taiwan: A Nationwide Survey," IJERPH, MDPI, vol. 16(2), pages 1-10, January.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:2:p:171-:d:196146
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/2/171/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/2/171/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen-Ya Wang & Diwakar Gupta, 2011. "Adaptive Appointment Systems with Patient Preferences," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 373-389, July.
    2. Po-Chin Yang & Wui-Chiang Lee & Hao-Yen Liu & Mei-Ju Shih & Tzeng-Ji Chen & Li-Fang Chou & Shinn-Jang Hwang, 2018. "Use of Facebook by Hospitals in Taiwan: A Nationwide Survey," IJERPH, MDPI, vol. 15(6), pages 1-10, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Motulsky, Aude & Bosson-Rieutort, Delphine & Usher, Susan & David, Geneviève & Moreault, Marie-Pierre & Gagnon, Marie-Pierre & Schuster, Tibor & Sicotte, Claude, 2023. "Evaluation of a national e-booking system for medical consultation in primary care in a universal health system," Health Policy, Elsevier, vol. 131(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ya-Chuan Hsu & Tzeng-Ji Chen & Feng-Yuan Chu & Hao-Yen Liu & Li-Fang Chou & Shinn-Jang Hwang, 2019. "Official Websites of Local Health Centers in Taiwan: A Nationwide Study," IJERPH, MDPI, vol. 16(3), pages 1-10, January.
    2. Tugba Cayirli & Pinar Dursun & Evrim D. Gunes, 2019. "An integrated analysis of capacity allocation and patient scheduling in presence of seasonal walk-ins," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 524-561, June.
    3. Chengyan Zhu & Xiaolin Xu & Wei Zhang & Jianmin Chen & Richard Evans, 2019. "How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees," IJERPH, MDPI, vol. 17(1), pages 1-13, December.
    4. Matthias Deceuninck & Stijn Vuyst & Dieter Claeys & Dieter Fiems, 2021. "Appointment games with unobservable and observable schedules," Annals of Operations Research, Springer, vol. 307(1), pages 93-110, December.
    5. Dogru, Ali K. & Melouk, Sharif H., 2019. "Adaptive appointment scheduling for patient-centered medical homes," Omega, Elsevier, vol. 85(C), pages 166-181.
    6. Mi Young Suk & Bomgyeol Kim & Sang Gyu Lee & Chang Hoon You & Tae Hyun Kim, 2021. "Evaluation of Patient No-Shows in a Tertiary Hospital: Focusing on Modes of Appointment-Making and Type of Appointment," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
    7. Katsumi Morikawa & Katsuhiko Takahashi & Daisuke Hirotani, 2018. "Performance evaluation of candidate appointment schedules using clearing functions," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 509-518, March.
    8. Eduardo Pérez & David P. Dzubay, 2021. "A scheduling-based methodology for improving patient perceptions of quality of care in intensive care units," Health Care Management Science, Springer, vol. 24(1), pages 203-215, March.
    9. Gang Du & Xinyue Li & Hui Hu & Xiaoling Ouyang, 2018. "Optimizing Daily Service Scheduling for Medical Diagnostic Equipment Considering Patient Satisfaction and Hospital Revenue," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
    10. David D. Cho & Kurt M. Bretthauer & Jan Schoenfelder, 2023. "Patient-to-nurse ratios: Balancing quality, nurse turnover, and cost," Health Care Management Science, Springer, vol. 26(4), pages 807-826, December.
    11. Xuanzhu Fan & Jiafu Tang & Chongjun Yan, 2020. "Appointment scheduling optimization with two stages diagnosis for clinic outpatient," Computational Statistics, Springer, vol. 35(2), pages 469-490, June.
    12. Afiq Izzudin A. Rahim & Mohd Ismail Ibrahim & Kamarul Imran Musa & Sook-Ling Chua & Najib Majdi Yaacob, 2021. "Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews," IJERPH, MDPI, vol. 18(18), pages 1-28, September.
    13. Angela Chang & Xuechang Xian & Matthew Tingchi Liu & Xinshu Zhao, 2022. "Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    14. Nan Liu & Peter M. van de Ven & Bo Zhang, 2019. "Managing Appointment Booking Under Customer Choices," Management Science, INFORMS, vol. 65(9), pages 4280-4298, September.
    15. Beniamino Schiavone & Andrea Vitale & Mena Gallo & Gianlucasalvatore Russo & Domenico Ponticelli & Mario Borrelli, 2021. "Overview of Facebook Use by Hospitals in Italy: A Nationwide Survey during the COVID-19 Emergency," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    16. Mintz, Yonatan & Aswani, Anil & Kaminsky, Philip & Flowers, Elena & Fukuoka, Yoshimi, 2023. "Behavioral analytics for myopic agents," European Journal of Operational Research, Elsevier, vol. 310(2), pages 793-811.
    17. Yu Zhang & Vidyadhar G. Kulkarni, 2017. "Two-day appointment scheduling with patient preferences and geometric arrivals," Queueing Systems: Theory and Applications, Springer, vol. 85(1), pages 173-209, February.
    18. Seokjun Youn & H. Neil Geismar & Michael Pinedo, 2022. "Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4407-4423, December.
    19. Harris, Shannon L. & May, Jerrold H. & Vargas, Luis G. & Foster, Krista M., 2020. "The effect of cancelled appointments on outpatient clinic operations," European Journal of Operational Research, Elsevier, vol. 284(3), pages 847-860.
    20. Pi-Chun Hsu & I-Hsiung Chang & Ru-Si Chen, 2019. "Online Learning Communities and Mental Health Literacy for Preschool Teachers: The Moderating Role of Enthusiasm for Engagement," IJERPH, MDPI, vol. 16(22), pages 1-9, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:2:p:171-:d:196146. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.