Maturity Model for Data Analytics in Health Institutions

Abstract

Aware of the need for a data analytics model applicable in an environment of health institutions, which allows an efficient management of administrative processes, the analysis of disease behavior, a more accurate diagnosis, even processes of early detection of various pathologies .  There is a tendency to apply   data analytics techniques in health focused on  care  models focused on value and not on episode care, in order to increase benefits of historical data and support the resolution of possible complex pathologies.  This research proposes a data  analytics maturity  model for health institutions called MMHEALTH, applicable to health institutions that need to improve their data analytics activities to obtain greater benefits, for this an analysis of some of the most important models is carried out.  of existing maturity  with an assessment applying the  Likert scale,  obtaining  adequate characteristics of each model and that can be applied in the proposed new model, defined in a structure, and framed in six dimensions: Analytical Governance, Information Technologies, Culture, Data Analytics, Data Management , and Analytical Strategy, with which it is intended to implement formal data analytics processes  in health institutions.