HIT Consultant January 5, 2024
Data has become the lifeblood of healthcare, making it possible to gain granular insights that enable more effective and precise patient-centric care. Yet, we have just scratched the surface of data analytics’ potential impact on optimizing segments of healthcare that need it most, such as the surging arena of consumer health.
Of the four key types of data analytics – descriptive, diagnostic, predictive, and prescriptive – only the first two are effectively used in managing healthcare costs and member healthcare delivery. These two capabilities inform stakeholders about what has happened and why it happened. What might happen in the future, and determining the best course of action to take is often hard to assess at scale. Enter predictive and...
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