Healthcare Analytics Alchemy
“Many healthcare teams lack the skills to perform advanced analytics. In additional, ‘fee-for-service’ models, payments depend on how many procedures, treatments, or services are provided-not whether best practices to ensure an optimal outcome for the patients are followed. With this model, physicians are discouraged from performing procedures if they aren’t paid anything extra for those procedures – thus prioritizing profits over quality of care.
The comprehensive change in the way providers and prayers will be motivated and rewarded – from fee-for-service to fee-for-value, focuses more on overall population of health and evidentiary data than traditional systems.
A successful transition to fee-for-value relies on accurate data to forecast likely outcomes and make recommendation. Leaving us with the pressing question, how do healthcare payers and providers use data to successfully transition from fee-for-service to -fee-for-value? This e-book details how predictive, prescriptive and advanced analytics is helping transform the healthcare industry, effectively.
Get your case study today!