The nurse-to-patient assignment problem in Home Care (HC) under continuity of care consists of allocating each newly admitted patient to only one reference nurse, without changing the assignment for a long period. The reference nurse of the new patient is chosen among a set of compatible ones, with the main goal of balancing the workloads among the nurses. In the literature, the assignment problem is usually solved with numerical approaches based on mathematical programming. In this chapter, we present a set of structural policies for solving the problem in the HC context. They take into account the randomness related to the patients’ demands and to the workloads already assigned to nurses. The goal is tominimize a stochastic cost function based on the time for visits provided by the nurses above their capacities. A comparison with the current practice of HC providers that assign the new patient to the nurse with the highest expected available capacity is also presented. To apply the policies, an estimation of patient requirements in the planning period is needed. For this purpose, this chapter also presents a patient stochastic model to describe the patient’s care pathway and his/her demands for visits over time. Finally, the application to a relevant real case is described, and the benefits deriving from implementing the proposed approach are shown.

The nurse-to-patient assignment problem in home care services

MATTA, ANDREA
2012

Abstract

The nurse-to-patient assignment problem in Home Care (HC) under continuity of care consists of allocating each newly admitted patient to only one reference nurse, without changing the assignment for a long period. The reference nurse of the new patient is chosen among a set of compatible ones, with the main goal of balancing the workloads among the nurses. In the literature, the assignment problem is usually solved with numerical approaches based on mathematical programming. In this chapter, we present a set of structural policies for solving the problem in the HC context. They take into account the randomness related to the patients’ demands and to the workloads already assigned to nurses. The goal is tominimize a stochastic cost function based on the time for visits provided by the nurses above their capacities. A comparison with the current practice of HC providers that assign the new patient to the nurse with the highest expected available capacity is also presented. To apply the policies, an estimation of patient requirements in the planning period is needed. For this purpose, this chapter also presents a patient stochastic model to describe the patient’s care pathway and his/her demands for visits over time. Finally, the application to a relevant real case is described, and the benefits deriving from implementing the proposed approach are shown.
Advanced Decision Making Methods Applied to Health Care
9788847023208
File in questo prodotto:
File Dimensione Formato  
8_Lanzarone.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 749.86 kB
Formato Adobe PDF
749.86 kB Adobe PDF   Visualizza/Apri
Sommario.pdf

Accesso riservato

: Altro materiale allegato
Dimensione 46.27 kB
Formato Adobe PDF
46.27 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/691982
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 9
social impact