Using Business Intelligence Tools for Predictive Analytics in Healthcare System
Mihaela-Laura IVAN, Mircea Raducu, Manole Velicanu, Cristian Ciurea
Abstract
Open-access reader
Mihaela-Laura IVAN, Mircea Raducu, Manole Velicanu, Cristian Ciurea
Abstract
Open-access reader
The scope of this article is to highlight how healthcare analytics can be improved using Business Intelligence tools. Healthcare system has learned from the previous lessons the necessity of using healthcare analytics for improving patient care, hospital administration, population growth and many others aspects. Business Intelligence solutions applied for the current analysis demonstrate the benefits brought by the new tools, such as SAP HANA, SAP Lumira, and SAP Predictive Analytics. In detailed is analyzed the birth rate with the contribution of different factors to the world.
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The scope of this article is to highlight how healthcare analytics can be improved using Business Intelligence tools. Healthcare system has learned from the previous lessons the necessity of using healthcare analytics for improving patient care, hospital administration, population growth and many others aspects. Business Intelligence solutions applied for the current analysis demonstrate the benefits brought by the new tools, such as SAP HANA, SAP Lumira, and SAP Predictive Analytics. In detailed is analyzed the birth rate with the contribution of different factors to the world.
Key concepts: Business intelligence, Analytics, Computer science, Business analytics, Predictive analytics, Health care, Data science, Scope (computer science)