DataCareBig Data Analytics Solution for Intelligent Healthcare Management

  1. Alejandro Baldominos Gómez
  2. Fernando de Rada
  3. Yago Saez
Revista:
IJIMAI

ISSN: 1989-1660

Año de publicación: 2018

Volumen: 4

Número: 7

Páginas: 13-20

Tipo: Artículo

DOI: 10.9781/IJIMAI.2017.03.002 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: IJIMAI

Objetivos de desarrollo sostenible

Resumen

This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to estimate future values for these key performance indicators and, as a result, fire early alerts when undesirable values are about to occur or provide recommendations to improve the quality of service. DataCare’s core processes are built over a free and open-source cross-platform document-oriented database (MongoDB), and Apache Spark, an open-source cluster-computing framework. This architecture ensures high scalability capable of processing very high data volumes coming at fast speed from a large set of sources. This article describes the architecture designed for this project and the results obtained after conducting a pilot in a healthcare center. Useful conclusions have been drawn regarding how key performance indicators change based on different situations, and how they affect patients’ satisfaction.