Inside Digital Health April 26, 2019
The healthcare industry has a problem with predictive population health analytics.
Healthcare organizations (HCOs) too frequently settle for cookie-cutter population health analytics prediction solutions that are built on narrowly defined data sets that lack accuracy, comprehensiveness and reliability. For the HCOs that invest in these inadequate solutions, the result is missed opportunities — to improve patient care, properly account for risk, reduce costs and receive appropriate reimbursement.
Best-in-class predictive population health analytics must do more than just identify patients who are likely to be the high utilizers who account for high costs in the future. Analytics must go a step beyond, helping HCOs identify which patients are likely to benefit from certain interventions today that will prevent them from entering...
Today's Sponsors
Today's Sponsor