A Multi-Agent System to Schedule Organ Transplant Operations

  1. Moreno Galindo, Antonio
  2. Bocio, Jaime
  3. Valls Mateu, Aïda
Revista:
Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial

ISSN: 1137-3601 1988-3064

Año de publicación: 2001

Título del ejemplar: Desarrollo de Sistemas Multi-Agentes

Volumen: 5

Número: 13

Páginas: 36-44

Tipo: Artículo

DOI: 10.4114/IA.V5I13.695 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial

Resumen

Transplants involve many steps and many people to ensure a good result. We will focus on the management of the team that is going to make the surgical operation to implant an organ to a patient. When a suitable recipient is found, the hospital that is going to perform the transplant must organise all the necessary items to do it: find the medical team and an available operation theatre. This task must be done in the very short period of time while the organ is in good conditions. The quick scheduling of the operation is essential to detect whether it is possible to join all the necessary items or not. In the second case, the general transplant co-ordinator must be immediately informed in order to find another patient in another hospital. We propose to use a multi-agent system to solve this scheduling task in a short period of time.