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Capacity planning and appointment scheduling for new patient oncology consults.
Ma, Xiang; Sauré, Antoine; Puterman, Martin L; Taylor, Marianne; Tyldesley, Scott.
Afiliação
  • Ma X; British Columbia Cancer Agency, 600 West 10th Avenue, Vancouver, BC, V5Z 4E6, Canada. claire.ma@bccancer.bc.ca.
  • Sauré A; Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC, V6T 1Z2, Canada.
  • Puterman ML; Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC, V6T 1Z2, Canada.
  • Taylor M; British Columbia Cancer Agency, 600 West 10th Avenue, Vancouver, BC, V5Z 4E6, Canada.
  • Tyldesley S; British Columbia Cancer Agency, 600 West 10th Avenue, Vancouver, BC, V5Z 4E6, Canada.
Health Care Manag Sci ; 19(4): 347-361, 2016 Dec.
Article em En | MEDLINE | ID: mdl-26156688
ABSTRACT
To ensure that patients receive timely access to care, it has become increasingly important to use existing care provider capacity as efficiently as possible and to make informed capacity planning decisions. To support this decision-making process at a regional cancer center in British Columbia (Canada), we undertook a simulation and optimization based study that investigated the simultaneous impact of the available number of new patient consultation slots, appointment scheduling policies and oncologist specialization configurations on the timeliness of patient access to care and physician workload. The key contribution of this paper is the methodological framework it provides to decision makers who manage specialty clinics to ensure that they are using their resources efficiently and making informed strategic short- and mid-term capacity planning decisions for new patient demand.
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Base de dados: MEDLINE Assunto principal: Agendamento de Consultas / Simulação por Computador / Institutos de Câncer / Oncologistas Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article
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Base de dados: MEDLINE Assunto principal: Agendamento de Consultas / Simulação por Computador / Institutos de Câncer / Oncologistas Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article