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Managing a multi-panel clinic with heterogeneous patients.
Chen, Hao-Wei.
Afiliação
  • Chen HW; Department of Information Systems and Supply Chain Management, John B. and Lillian E. Neff College of Business and Innovation, University of Toledo, Toledo, OH, USA. haowei.chen@utoledo.edu.
Health Care Manag Sci ; 26(4): 673-691, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37930502
ABSTRACT
Primary care providers (PCPs) are considered the first-line defenders in preventive care. Patients seeking service from the same PCP constitute that physician's panel, which determines the overall supply and demand of the physician. The process of allocating patients to physician panels is called panel design. This study quantifies patient overflow and builds a mathematical model to evaluate the effect of two implementable panel assignments. In specialized panel assignment, patients are assigned based on their medical needs or visit frequency. In equal panel assignment, patients are distributed uniformly to maintain a similar composition across panels. We utilize majorization theory and numerical examples to evaluate the performance of the two designs. The results show that specialized panel assignment outperforms when (1) patient demands and physician capacity are relatively balanced or (2) patients who require frequent visits incur a higher shortage penalty. In a simulation model with actual patient arrival patterns, we also illustrate the robustness of the results and demonstrate the effect of switching panel policy when the patient pool changes over time.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos Limite: Humans Idioma: En Revista: Health Care Manag Sci Assunto da revista: SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Médicos Limite: Humans Idioma: En Revista: Health Care Manag Sci Assunto da revista: SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos