IDEAS home Printed from https://ideas.repec.org/a/aes/dbjour/v12y2021i1p40-55.html

Appointment Scheduling System for a Primary Hospital

Author

Listed:
  • Norman GWANGWAVA

    (Botswana International University of Science and Technology, Botswana)

  • Kgalalelo D. NTESANG

    (Botswana International University of Science and Technology, Botswana)

Abstract

This paper proposes an appointment scheduling framework using an SMS-based queue management system to reduce patient waiting times in a primary hospital. The patient registration device contains a GSM module and a microcontroller that allows patients to book an appointment for consultation through sending and receiving messages. The system has the potential to reduce patient waiting times by over 95%.

Suggested Citation

  • Norman GWANGWAVA & Kgalalelo D. NTESANG, 2021. "Appointment Scheduling System for a Primary Hospital," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 12(1), pages 40-55.
  • Handle: RePEc:aes:dbjour:v:12:y:2021:i:1:p:40-55
    as

    Download full text from publisher

    File URL: https://www.dbjournal.ro/archive/32/32_5.pdf
    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. Landi, Stefano & Ivaldi, Enrico & Testi, Angela, 2018. "Socioeconomic status and waiting times for health services: An international literature review and evidence from the Italian National Health System," Health Policy, Elsevier, vol. 122(4), pages 334-351.
    3. Lawrence W. Robinson & Rachel R. Chen, 2010. "A Comparison of Traditional and Open-Access Policies for Appointment Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 330-346, June.
    Full references (including those not matched with items on IDEAS)

    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. Asli Ozen & Hari Balasubramanian, 2013. "The impact of case mix on timely access to appointments in a primary care group practice," Health Care Management Science, Springer, vol. 16(2), pages 101-118, June.
    2. 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.
    3. 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.
    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. Jiayi Liu & Jingui Xie & Kum Khiong Yang & Zhichao Zheng, 2019. "Effects of Rescheduling on Patient No-Show Behavior in Outpatient Clinics," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 780-797, October.
    6. Yu Fu & Amarnath Banerjee, 2021. "A Stochastic Programming Model for Service Scheduling with Uncertain Demand: an Application in Open-Access Clinic Scheduling," SN Operations Research Forum, Springer, vol. 2(3), pages 1-32, September.
    7. Dogru, Ali K. & Melouk, Sharif H., 2019. "Adaptive appointment scheduling for patient-centered medical homes," Omega, Elsevier, vol. 85(C), pages 166-181.
    8. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    9. 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.
    10. 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.
    11. Hari Balasubramanian & Sebastian Biehl & Longjie Dai & Ana Muriel, 2014. "Dynamic allocation of same-day requests in multi-physician primary care practices in the presence of prescheduled appointments," Health Care Management Science, Springer, vol. 17(1), pages 31-48, March.
    12. Jin Kyung Kwak, 2023. "Analysis of the Waiting Time in Clinic Registration of Patients with Appointments and Random Walk-Ins," IJERPH, MDPI, vol. 20(3), pages 1-9, February.
    13. Pinar Keskinocak & Nicos Savva, 2020. "A Review of the Healthcare-Management (Modeling) Literature Published in Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 59-72, January.
    14. 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.
    15. Chao Li & Zhi Yang & Fajun Yang & Feng Wang, 2024. "A novel and efficient real-time sequencing strategy for appointment scheduling with unpunctual patients," Journal of Scheduling, Springer, vol. 27(2), pages 135-149, April.
    16. Eduardo Pérez, 2022. "An Appointment Planning Algorithm for Reducing Patient Check-In Waiting Times in Multispecialty Outpatient Clinics," SN Operations Research Forum, Springer, vol. 3(3), pages 1-22, September.
    17. Guo, Hainan & Xie, Yue & Jiang, Bowen & Tang, Jiafu, 2024. "When outpatient appointment meets online consultation: A joint scheduling optimization framework," Omega, Elsevier, vol. 127(C).
    18. Van-Anh Truong, 2015. "Optimal Advance Scheduling," Management Science, INFORMS, vol. 61(7), pages 1584-1597, July.
    19. 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.
    20. Yong-Hong Kuo & Hari Balasubramanian & Yan Chen, 2020. "Medical appointment overbooking and optimal scheduling: tradeoffs between schedule efficiency and accessibility to service," Flexible Services and Manufacturing Journal, Springer, vol. 32(1), pages 72-101, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:aes:dbjour:v:12:y:2021:i:1:p:40-55. 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: Adela Bara (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.