6. Conclusions and further work
Healthcare is a very complex, knowledge-driven industry that created massive amounts of clinical and financial data. It is believed that careful and attentive use of Analytics in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. Maturity Models in Health Analytics are a way of identifying strengths and weaknesses of HIS information maturity.
The present paper has presented a proposal to measure Data Analytics Hospitals Information Systems maturity. The Maturity Model was developed to address HIS complexity and propose a useful tool for the demanding role of HIS management. This model was developed in line with the methodological procedures for creating maturity models, with a view to guaranteeing its recognition and relevance, both in the academic field and in society as a whole. That is, it uses a development methodology recognized by the scientific community, drawing in a systematic way, the whole development process, validation and consolidation of a Maturity Model.
Despite its contributions, this proposal includes a number of limitations, some of which should prompt further research. First, the model was not yet implemented in hospitals, and for this reason, we did not specifically measure hospitals’ HIS maturity nor identify improvement opportunities (because it was not possible to carry out the procedures described in the last stage of the model development). For that matter, we also did not relate such a maturity measurement to hospital performance or IST performance within the hospital. This would be a valuable research opportunity, as HIS maturity could be conditioned by certain contextual and organizational aspects.
