Stochastic programming for outpatient scheduling with flexible inpatient exam accommodation.
Health Care Manag Sci
; 24(3): 460-481, 2021 Sep.
Article
em En
| MEDLINE
| ID: mdl-33394213
RESUMEN
HIGHLIGHTS: Timestamped operational data was analyzed to identify sources of uncertainty and delays. Stochastic programming models were developed to optimize slot size and inpatient block placement. A case study showed that the optimized schedules can reduce overall costs by 23%. Distributing inpatient and outpatient slots evenly throughout the day provides the best performance. A Pareto frontier was developed to allow practitioners to choose their own best tradeoffs between multiple objectives.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pacientes Ambulatoriais
/
Pacientes Internados
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Health Care Manag Sci
Assunto da revista:
SERVICOS DE SAUDE
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos