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Regulating patient care in walk-in clinics

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  • Pazoki, Mostafa
  • Samarghandi, Hamed

Abstract

This paper studies the problem of government intervention in walk-in clinics regarding patient satisfaction. Since walk-in clinics benefit from the number of patients they serve (fee-for-service), it may be in their best interest to reduce the visit times; consequently, patient care and quality of service may be sacrificed to gain more revenue. For this matter, a walk-in clinic as a queuing system with stochastic arrival and visit times is studied. To identify the cases when the quality of service is compromised for maximizing clinic’s revenue and therefore government intervention may be required, we compare revenue maximization policies and patient satisfaction maximization policies under various scenarios defined based on the proportion of the arriving patients to the clinic’s capacity and also the existence of local competition. It is concluded that if patients’ arrival rate is relatively small compared to the clinic’s capacity, regulation is not required. Otherwise, a regulation in the form of minimum visit time can increase patient satisfaction.

Suggested Citation

  • Pazoki, Mostafa & Samarghandi, Hamed, 2021. "Regulating patient care in walk-in clinics," Omega, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:jomega:v:99:y:2021:i:c:s0305048319305353
    DOI: 10.1016/j.omega.2020.102200
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    References listed on IDEAS

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    1. Linda V. Green, 2012. "OM Forum--The Vital Role of Operations Analysis in Improving Healthcare Delivery," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 488-494, October.
    2. Nicos Savva & Tolga Tezcan & Özlem Yıldız, 2019. "Can Yardstick Competition Reduce Waiting Times?," Management Science, INFORMS, vol. 65(7), pages 3196-3215, July.
    3. Hamed Mamani & Stephen E. Chick & David Simchi-Levi, 2013. "A Game-Theoretic Model of International Influenza Vaccination Coordination," Management Science, INFORMS, vol. 59(7), pages 1650-1670, July.
    4. G Royston, 2009. "One hundred years of Operational Research in Health—UK 1948–2048," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 169-179, May.
    5. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    6. Persson, Marie & Persson, Jan A., 2009. "Health economic modeling to support surgery management at a Swedish hospital," Omega, Elsevier, vol. 37(4), pages 853-863, August.
    7. Shuangchi He & Melvyn Sim & Meilin Zhang, 2019. "Data-Driven Patient Scheduling in Emergency Departments: A Hybrid Robust-Stochastic Approach," Management Science, INFORMS, vol. 65(9), pages 4123-4140, September.
    8. Leo, Gianmaria & Lodi, Andrea & Tubertini, Paolo & Di Martino, Mirko, 2016. "Emergency Department Management in Lazio, Italy," Omega, Elsevier, vol. 58(C), pages 128-138.
    9. Kibaek Kim & Sanjay Mehrotra, 2015. "A Two-Stage Stochastic Integer Programming Approach to Integrated Staffing and Scheduling with Application to Nurse Management," Operations Research, INFORMS, vol. 63(6), pages 1431-1451, December.
    10. Jackson, Jeffrey L. & Chamberlin, Judith & Kroenke, Kurt, 2001. "Predictors of patient satisfaction," Social Science & Medicine, Elsevier, vol. 52(4), pages 609-620, February.
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