IDEAS home Printed from https://ideas.repec.org/a/inm/orserv/v10y2018i3p261-276.html
   My bibliography  Save this article

Optimization of Telemedicine Appointments in Rural Areas

Author

Listed:
  • S. Ayca Erdogan

    (Department of Industrial and Systems Engineering, San Jose State University, San Jose, California 95192)

  • Tracey L. Krupski

    (Department of Urology, University of Virginia, Charlottesville, Virginia 22908)

  • Jennifer Mason Lobo

    (Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia 22908)

Abstract

Telemedicine services are increasingly being used to provide medical care to patients in rural areas. We present a two-stage stochastic linear program to inform optimal scheduling of telemedicine patients considering cleaning of procedure devices and patient no-show behavior. We consider the weighted average of patient waiting time and provider idle time and overtime as the performance metric for the schedule. We present a case study for scheduling rural patients to a telemedicine clinic to receive a cystoscopy for bladder cancer surveillance. Through this case study, we provide scheduling insights, including the optimal number of patients to schedule, the appropriate mix of local and distant patients, and the effect of procedure length on the number of patients who can be scheduled without exceeding overtime constraints. We also present experiments to determine how sensitive the results are to changes in the no-show rate and cost coefficients for patient waiting time, provider idle time, and overtime of the clinic. The online appendix is available at https://doi.org/10.1287/serv.2018.0222 .

Suggested Citation

  • S. Ayca Erdogan & Tracey L. Krupski & Jennifer Mason Lobo, 2018. "Optimization of Telemedicine Appointments in Rural Areas," Service Science, INFORMS, vol. 10(3), pages 261-276, September.
    • Handle: RePEc:inm:orserv:v:10:y:2018:i:3:p:261-276
    DOI: serv.2018.0222
    as

    Download full text from publisher

    File URL: https://doi.org/serv.2018.0222
    Download Restriction: no
    File URL: https://libkey.io/serv.2018.0222?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Qingxia Kong & Chung-Yee Lee & Chung-Piaw Teo & Zhichao Zheng, 2013. "Scheduling Arrivals to a Stochastic Service Delivery System Using Copositive Cones," Operations Research, INFORMS, vol. 61(3), pages 711-726, June.
    2. Chrwan-Jyh Ho & Hon-Shiang Lau, 1992. "Minimizing Total Cost in Scheduling Outpatient Appointments," Management Science, INFORMS, vol. 38(12), pages 1750-1764, December.
    3. Mehmet A. Begen & Maurice Queyranne, 2011. "Appointment Scheduling with Discrete Random Durations," Mathematics of Operations Research, INFORMS, vol. 36(2), pages 240-257, May.
    4. Fernández, M.E. & Gonzales, A. & Tortolero-Luna, G. & Williams, J. & Saavedra-Embesi, M. & Chan, W. & Vernon, S.W., 2009. "Effectiveness of Cultivando la Salud: A breast and cervical cancer screening promotion program for low-income hispanic women," American Journal of Public Health, American Public Health Association, vol. 99(5), pages 936-943.
    5. Sakine Batun & Brian T. Denton & Todd R. Huschka & Andrew J. Schaefer, 2011. "Operating Room Pooling and Parallel Surgery Processing Under Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 220-237, May.
    6. Refael Hassin & Sharon Mendel, 2008. "Scheduling Arrivals to Queues: A Single-Server Model with No-Shows," Management Science, INFORMS, vol. 54(3), pages 565-572, March.
    7. Bo Zeng & Ayten Turkcan & Ji Lin & Mark Lawley, 2010. "Clinic scheduling models with overbooking for patients with heterogeneous no-show probabilities," Annals of Operations Research, Springer, vol. 178(1), pages 121-144, July.
    8. S. Ayca Erdogan & Brian Denton, 2013. "Dynamic Appointment Scheduling of a Stochastic Server with Uncertain Demand," INFORMS Journal on Computing, INFORMS, vol. 25(1), pages 116-132, February.
    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. Lisa M. Maillart & Maria E. Mayorga, 2018. "Introduction to the Special Issue on Advancing Health Services," Service Science, INFORMS, vol. 10(3), pages 1-1, September.

    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. Ruiwei Jiang & Siqian Shen & Yiling Zhang, 2017. "Integer Programming Approaches for Appointment Scheduling with Random No-Shows and Service Durations," Operations Research, INFORMS, vol. 65(6), pages 1638-1656, December.
    2. 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.
    3. Shenghai Zhou & Yichuan Ding & Woonghee Tim Huh & Guohua Wan, 2021. "Constant Job‐Allowance Policies for Appointment Scheduling: Performance Bounds and Numerical Analysis," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2211-2231, July.
    4. Pan, Xingwei & Geng, Na & Xie, Xiaolan & Wen, Jing, 2020. "Managing appointments with waiting time targets and random walk-ins," Omega, Elsevier, vol. 95(C).
    5. van Eekelen, Wouter, 2023. "Distributionally robust views on queues and related stochastic models," Other publications TiSEM 9b99fc05-9d68-48eb-ae8c-9, Tilburg University, School of Economics and Management.
    6. Christos Zacharias & Tallys Yunes, 2020. "Multimodularity in the Stochastic Appointment Scheduling Problem with Discrete Arrival Epochs," Management Science, INFORMS, vol. 66(2), pages 744-763, February.
    7. Pan, Xingwei & Geng, Na & Xie, Xiaolan, 2021. "Appointment scheduling and real-time sequencing strategies for patient unpunctuality," European Journal of Operational Research, Elsevier, vol. 295(1), pages 246-260.
    8. Kemper, Benjamin & Klaassen, Chris A.J. & Mandjes, Michel, 2014. "Optimized appointment scheduling," European Journal of Operational Research, Elsevier, vol. 239(1), pages 243-255.
    9. Li Luo & Ying Zhou & Bernard T. Han & Jialing Li, 2019. "An optimization model to determine appointment scheduling window for an outpatient clinic with patient no-shows," Health Care Management Science, Springer, vol. 22(1), pages 68-84, March.
    10. Adel Alaeddini & Kai Yang & Chandan Reddy & Susan Yu, 2011. "A probabilistic model for predicting the probability of no-show in hospital appointments," Health Care Management Science, Springer, vol. 14(2), pages 146-157, June.
    11. Tito Homem-de-Mello & Qingxia Kong & Rodrigo Godoy-Barba, 2022. "A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2845-2865, September.
    12. Xiuli Qu & Yidong Peng & Nan Kong & Jing Shi, 2013. "A two-phase approach to scheduling multi-category outpatient appointments – A case study of a women’s clinic," Health Care Management Science, Springer, vol. 16(3), pages 197-216, September.
    13. Soroush Saghafian & Nikolaos Trichakis & Ruihao Zhu & Helen A. Shih, 2023. "Joint patient selection and scheduling under no‐shows: Theory and application in proton therapy," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 547-563, February.
    14. Shehadeh, Karmel S. & Cohn, Amy E.M. & Epelman, Marina A., 2019. "Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 721-731.
    15. De Vuyst, Stijn & Bruneel, Herwig & Fiems, Dieter, 2014. "Computationally efficient evaluation of appointment schedules in health care," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1142-1154.
    16. Dongyang Wang & Kumar Muthuraman & Douglas Morrice, 2019. "Coordinated Patient Appointment Scheduling for a Multistation Healthcare Network," Operations Research, INFORMS, vol. 67(3), pages 599-618, May.
    17. Kuiper, Alex & de Mast, Jeroen & Mandjes, Michel, 2021. "The problem of appointment scheduling in outpatient clinics: A multiple case study of clinical practice," Omega, Elsevier, vol. 98(C).
    18. Mahes, Roshan & Mandjes, Michel & Boon, Marko & Taylor, Peter, 2024. "Adaptive scheduling in service systems: A Dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 605-626.
    19. Huiqiao Su & Guohua Wan & Shan Wang, 2019. "Online scheduling for outpatient services with heterogeneous patients and physicians," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 123-149, January.
    20. Soltani, Mohamad & Samorani, Michele & Kolfal, Bora, 2019. "Appointment scheduling with multiple providers and stochastic service times," European Journal of Operational Research, Elsevier, vol. 277(2), pages 667-683.

    More about this item

    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:inm:orserv:v:10:y:2018:i:3:p:261-276. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.