Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach

Gonzalez, Angelo Carlier; Cortes Gonzalez, Andrea; Lillo, Jose; Inostroza-Ponta, Mario; Villalobos-Cid, Manuel; IEEE

Abstract

The healthcare services must provide quality health safeguarding the efficient use of the resources. To evaluate technical efficiency performing fairly comparisons it is necessary to group the hospitals according to the type of patient treated: case-mix. Generally, this evaluation is performed by using the Related Groups for Diagnosis (DRG) system. Since only a few hospitals have implemented this system in Chile, the analysis of technical efficiency results limited the Ministry of Health of Chile (MINSAL) has proposed an administrative categorisation for the public hospitals: high, medium and low complexity. However, it has not been studied if this definition is associated to the case-mix and if it can be used to study technical efficiency. In this work, we propose an ad-hoc genetic algorithm which combines filter feature selection and clustering strategies to determine if there is a set of features related to the case-mix that allow to reach the same categorisation proposed by the MINSAL the results show that, although a small set of features is able to reach this categorisation by year, there is not enough evidence to establish a relationship with the case-mix. It is recommended that future technical efficiency analyses use new categorisations based on case-mix instead of the MINSAL categorisation.

Más información

Título según WOS: ID WOS:000848755600081 Not found in local WOS DB
Título según SCOPUS: Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: A genetic algorithm approach
Título de la Revista: 2020 39TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC)
Fecha de publicación: 2020
DOI:

10.1109/SCCC51225.2020.9281282

Notas: ISI, SCOPUS