IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v23y2021i6p1483-1504.html

On the Role of Teletriage in Healthcare Demand Management

Author

Listed:
  • Özden Engin Çakıcı

    (Kogod School of Business, American University, Washington, District of Columbia 20016)

  • Alex F. Mills

    (Baruch College Zicklin School of Business, City University of New York, New York, New York 10010)

Abstract

Problem definition : Many healthcare providers and payers offer teletriage, a telemedicine service where concerned patients can get advice about their health condition. In theory, teletriage should help patients with an acute illness choose an appropriate provider, reducing unnecessary and duplicate provider visits, yet no study has assessed the overall costs and benefits of teletriage at a system level. Academic/practical relevance : We model the use of teletriage in managing healthcare demand and determine in which cases teletriage is efficient and effective. Our model extends the academic literature on service operations and provides practical suggestions for healthcare payers. Methodology : We use a Markov decision process to model a patient’s choices during an acute illness episode, where the illness severity is partially observable to the patient and triage is subject to errors. We parameterize the model using data from the literature and provide both structural and numerical results. Results : Patients with high uncertainty about their state would use the teletriage service, which may improve their cost outcomes. However, when teletriage is added, the rate of arrivals to the emergency department (ED) may increase when the overtriage rate is above 5%, the lowest value observed in the literature. Patient’s choices and the copayment of other services affect the cost-effectiveness of teletriage. Managerial implications : There are several reasons why adding teletriage to the healthcare system could produce a negative cost outcome. Teletriage should not necessarily be free, which would encourage use by patients with low levels of uncertainty and actually increase the payer’s total cost. The overtriage rate is a key driver of performance and must be managed carefully.

Suggested Citation

  • Özden Engin Çakıcı & Alex F. Mills, 2021. "On the Role of Teletriage in Healthcare Demand Management," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1483-1504, November.
  • Handle: RePEc:inm:ormsom:v:23:y:2021:i:6:p:1483-1504
    DOI: 10.1287/msom.2020.0908
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2020.0908
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2020.0908?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. Robert A. Shumsky & Edieal J. Pinker, 2003. "Gatekeepers and Referrals in Services," Management Science, INFORMS, vol. 49(7), pages 839-856, July.
    2. Turgay Ayer & Oguzhan Alagoz & Natasha K. Stout, 2012. "OR Forum---A POMDP Approach to Personalize Mammography Screening Decisions," Operations Research, INFORMS, vol. 60(5), pages 1019-1034, October.
    3. Saed Alizamir & Francis de Véricourt & Peng Sun, 2013. "Diagnostic Accuracy Under Congestion," Management Science, INFORMS, vol. 59(1), pages 157-171, December.
    4. Nilay Tan{i}k Argon & Serhan Ziya, 2009. "Priority Assignment Under Imperfect Information on Customer Type Identities," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 674-693, June.
    5. Jacob Feldman & Nan Liu & Huseyin Topaloglu & Serhan Ziya, 2014. "Appointment Scheduling Under Patient Preference and No-Show Behavior," Operations Research, INFORMS, vol. 62(4), pages 794-811, August.
    6. Michael Freeman & Nicos Savva & Stefan Scholtes, 2017. "Gatekeepers at Work: An Empirical Analysis of a Maternity Unit," Management Science, INFORMS, vol. 63(10), pages 3147-3167, October.
    7. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    8. Nan Liu & Stacey R. Finkelstein & Margaret E. Kruk & David Rosenthal, 2018. "When Waiting to See a Doctor Is Less Irritating: Understanding Patient Preferences and Choice Behavior in Appointment Scheduling," Management Science, INFORMS, vol. 64(5), pages 1975-1996, May.
    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. Zhang, Xinmou & Perera, Sandun C. & Wang, Jian-Jun & Cai, Tao & Gupta, Varun, 2025. "Coordinating telehealth platform with revenue-sharing contracts under different reimbursement mechanisms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(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. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    2. Tinglong Dai & Xiaofang Wang & Chao-Wei Hwang, 2022. "Clinical Ambiguity and Conflicts of Interest in Interventional Cardiology Decision Making," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 864-882, March.
    3. Michael Freeman & Susan Robinson & Stefan Scholtes, 2021. "Gatekeeping, Fast and Slow: An Empirical Study of Referral Errors in the Emergency Department," Management Science, INFORMS, vol. 67(7), pages 4209-4232, July.
    4. Isabel Kaluza & Guido Voigt & Knut Haase & Antonia Dietze, 2024. "Control of Online-Appointment Systems When the Booking Status Signals Quality of Service," Schmalenbach Journal of Business Research, Springer, vol. 76(3), pages 397-432, September.
    5. Katherine Bobroske & Michael Freeman & Lawrence Huan & Anita Cattrell & Stefan Scholtes, 2022. "Curbing the Opioid Epidemic at Its Root: The Effect of Provider Discordance After Opioid Initiation," Management Science, INFORMS, vol. 68(3), pages 2003-2015, March.
    6. Hessam Bavafa & Sergei Savin & Christian Terwiesch, 2021. "Customizing Primary Care Delivery Using E‐Visits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4306-4327, November.
    7. 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.
    8. Zhankun Sun & Nilay Tanık Argon & Serhan Ziya, 2022. "When to Triage in Service Systems with Hidden Customer Class Identities?," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 172-193, January.
    9. Zlatana Nenova & Jennifer Shang, 2022. "Personalized Chronic Disease Follow‐Up Appointments: Risk‐Stratified Care Through Big Data," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 583-606, February.
    10. Pengyi Shi & Jonathan E. Helm & H. Sebastian Heese & Alice M. Mitchell, 2021. "An Operational Framework for the Adoption and Integration of New Diagnostic Tests," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 330-354, February.
    11. Brett Hathaway & Evgeny Kagan & John Jones, 2026. "One at a Time? The Personal Productivity Bias in Emergency Department Patient Assignment," Papers 2605.24208, arXiv.org.
    12. Ludwig Kuntz & Stefan Scholtes & Sandra Sülz, 2019. "Separate and Concentrate: Accounting for Patient Complexity in General Hospitals," Management Science, INFORMS, vol. 67(6), pages 2482-2501, June.
    13. Mirko Kremer & Francis de Véricourt, 2022. "Mismanaging diagnostic accuracy under congestion," ESMT Research Working Papers ESMT-22-01, ESMT European School of Management and Technology.
    14. 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.
    15. Isabel Kaluza & Guido Voigt & Friederike Paetz, 2024. "Empirical studies on the impact of booking status on customers’ choice behavior in online appointment systems," Journal of Business Economics, Springer, vol. 94(2), pages 187-224, February.
    16. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
    17. Dogru, Ali K. & Melouk, Sharif H., 2019. "Adaptive appointment scheduling for patient-centered medical homes," Omega, Elsevier, vol. 85(C), pages 166-181.
    18. Kraig Delana & Sarang Deo & Kamalini Ramdas & Ganesh-Babu B. Subburaman & Thulasiraj Ravilla, 2023. "Multichannel Delivery in Healthcare: The Impact of Telemedicine Centers in Southern India," Management Science, INFORMS, vol. 69(5), pages 2568-2586, May.
    19. Shen, Zuo-Jun Max & Xie, Jingui & Zheng, Zhichao & Zhou, Han, 2023. "Dynamic scheduling with uncertain job types," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1047-1060.
    20. Hessam Bavafa & Anne Canamucio & Steven C. Marcus & Christian Terwiesch & Rachel M. Werner, 2022. "Capacity Rationing in Primary Care: Provider Availability Shocks and Channel Diversion," Management Science, INFORMS, vol. 68(4), pages 2842-2859, April.

    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:inm:ormsom:v:23:y:2021:i:6:p:1483-1504. 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.