Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach

HIGHLIGHTS

• What: A novel two-stage Stochastic Mixed Integer Linear Programming model is proposed to determine the optimal patient sequence based on the available resources according to the care pathways that minimize patients` expected total waiting time. To address this difficult, unsolved problem, the authors propose an RTLS-data-enabled resource allocation and care sequence assignment framework for patient management and decision support. A schematic of the analysis framework is shown in Fig 2. Given the scheduled appointment time of patients` clinic visits, the research aims to determine the optimal resource allocation and sequence assignment of the medical . . .
  

   

  

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