Healthcare at home facility location allocation problem

Fernando Rodriguez-Verjan Carlos (1, 2, 3) , Vincent Augusto (1, 2, 3) , Thierry Garaix (1, 2, 3) , Xiaolan Xie (1, 2, 3) , Valérie Buthion (4)

1 CIS-ENSMSE - Centre Ingénierie et Santé
2 IFRESIS - Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé
3 I4S-ENSMSE - Ingénierie des systèmes de soins et des services de santé
4 GATE - Groupe d'analyse et de théorie économique

This article presents the healthcare at home (HAH) facility location-allocation problem, introducing new decisions: (i) location of facilities in a region, (ii) assignment of demand to HAH companies, (iii) authorization for delivering some specific care and (iv) allocation of resources. HAH became popular in developed country because they offer flexible services to patients at home while decreasing the number of hospitalized patients. This study is motivated by the two statements: (i) increasing demand for healthcare services such as palliative care due to an ageing population, and (ii) increasing costs in traditional hospitalization due to new economic regulation (fee for service basis, "Tarification à l'activité"). The proposed problem is NP-Hard (multi-period, multi-resource, multi-facility location-allocation problem). Instances derived from real case study (HAH network of Rhone-Alps region) of the problem are solved using the branch and bound procedure of IBM ILOG CPLEX

Mots clés: Healthcare management systems; Resource allocation and management; System Modeling and Simulation

Domaines: Génie des procédés; Recherche opérationnelle [math.OC]

Fernando Rodriguez-Verjan Carlos, Vincent Augusto, Thierry Garaix, Xiaolan Xie, Valérie Buthion. Healthcare at home facility location allocation problem. 8th annual IEEE International Conference on Automation Science and Engineering (CASE 2012), Aug 2012, Séoul, South Korea. Paper TuB4.5. ⟨hal-00777906⟩