Solutions > Zynix Data Analytics
Risk, quality and HCC gap analytics built on your claims and clinical data, with each flagged patient ready to route into a care plan.
Solutions > Zynix Data Analytics
Risk, quality and HCC gap analytics built on your claims and clinical data, with each flagged patient ready to route into a care plan.
THE PROBLEM
Clinical records sit in the EHR. Claims arrive from payers on a 30 to 90 day lag. ADT feeds run on a separate system. Labs live in a lab information system. Pharmacy data is somewhere else. No single view connects them. The gap between knowing which patients need care and actually reaching them is not a data problem. It is a workflow execution problem.
THE PROBLEM
Clinical records sit in the EHR. Claims arrive from payers on a 30 to 90 day lag. ADT feeds run on a separate system. Labs live in a lab information system. Pharmacy data is somewhere else. No single view connects them. The gap between knowing which patients need care and actually reaching them is not a data problem. It is a workflow execution problem.
INTELLIGENCE COMPONENTS
HCC & Quality Gap Identification
Checks clinical diagnoses against current-year claims to find HCCs not yet recaptured and quality measures still open, ranked by RAF impact and closure window.
Predictive Risk Analytics
Flags patients whose risk is rising and scores each discharge for readmission risk, so care managers see them first.
Point-of-care gap prompts
Puts the patient’s open HCC and quality gaps in front of the physician before and during the visit.
Population Health Analytics
HEDIS, Stars and ACO quality measures, with attribution, utilization and cost views for program leaders.