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Last Minute Medical Appointments No-Show Management

Author

Listed:
  • Daniel M. Sousa

    (Instituto Superior Técnico, Lisbon University, Portugal)

  • André Vasconcelos

    (Instituto Superior Tecnico, University of Lisbon, Portugal)

Abstract

A no-show occurs when a client has an appointment of some sort with another entity, and voluntarily or not, the client does not show up to that appointment. A patient missing an appointment will mean that the clinic's and health professional's time slot will be wasted. The goal of this research is to find a solution that minimizes no-shows, detecting when a patient is not going to come to the appointment and finding an appropriate replacement. The authors propose a hybrid solution which combines two different behavior prediction techniques: population-based behavior and individual-based behavior. The algorithm starts by computing a no-show probability based on the population's behavior using a logistic regression model. After that, using Bayesian inference, that probability is personalized for each patient. After computing the no-show probabilities for every candidate patient, the algorithm checks if any of them are interested on taking the appointment. The proposed algorithm was assessed using lab data and healthcare provider data.

Suggested Citation

  • Daniel M. Sousa & André Vasconcelos, 2020. "Last Minute Medical Appointments No-Show Management," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 15(4), pages 18-37, October.
    • Handle: RePEc:igg:jhisi0:v:15:y:2020:i:4:p:18-37
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    References listed on IDEAS

    as
    1. K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
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