Your browser doesn't support javascript.
loading
Patient-centered appointment scheduling using agent-based simulation.
Turkcan, Ayten; Toscos, Tammy; Doebbeling, Brad N.
Afiliación
  • Turkcan A; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA.
  • Toscos T; Department of Nursing, Indiana University Purdue University, Fort Wayne, IN.
  • Doebbeling BN; School of Informatics and Computing, Indiana University Purdue University, Indianapolis, IN.
AMIA Annu Symp Proc ; 2014: 1125-33, 2014.
Article en En | MEDLINE | ID: mdl-25954423
ABSTRACT
Enhanced access and continuity are key components of patient-centered care. Existing studies show that several interventions such as providing same day appointments, walk-in services, after-hours care, and group appointments, have been used to redesign the healthcare systems for improved access to primary care. However, an intervention focusing on a single component of care delivery (i.e. improving access to acute care) might have a negative impact other components of the system (i.e. reduced continuity of care for chronic patients). Therefore, primary care clinics should consider implementing multiple interventions tailored for their patient population needs. We collected rapid ethnography and observations to better understand clinic workflow and key constraints. We then developed an agent-based simulation model that includes all access modalities (appointments, walk-ins, and after-hours access), incorporate resources and key constraints and determine the best appointment scheduling method that improves access and continuity of care. This paper demonstrates the value of simulation models to test a variety of alternative strategies to improve access to care through scheduling.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Citas y Horarios / Simulación por Computador / Atención Dirigida al Paciente / Flujo de Trabajo Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Marruecos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Citas y Horarios / Simulación por Computador / Atención Dirigida al Paciente / Flujo de Trabajo Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Marruecos