01704nas a2200241   4500000000100000000000100001008004100002260001200043653002800055653001700083653002200100653001300122653001300135100001400148700003200162700002100194245008000215856009500295300001000390490000600400520104200406022001401448       2018                            d  c03/201810aArtificial Intelligence10aArchitecture10aManagemet Systems10aBig Data10ae-health1 aYago Saez1 aAlejandro Baldominos Gómez1 ade Fernando Rada00aDataCare: Big Data Analytics Solution for Intelligent Healthcare Management  uhttp://www.ijimai.org/journal/sites/default/files/files/2017/03/ijimai_4_7_2_pdf_16566.pdf  a13-200 v43 aThis 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.  a1989-1660