Future unlocked: Turning population health angst into action

Healthcare leaders aren’t short on data, they’re short on complete, trustworthy data. Patient information is often fragmented across encounters, facilities, formats, and systems, making insights difficult to trust or act upon.

One question that has emerged from many of our customers is: How do we generate trustworthy population health insights when patient data arrives fragmented and inconsistently structured, while regulatory expectations keep accelerating?

That’s the challenge Infor™ will address in its ViVE 2026 breakout session on population health analytics, which attendees can add to their agendas today.

Patient data doesn’t tell a single story

Population health analytics can only succeed with one fundamental prerequisite: a complete, normalized, longitudinal view of each patient’s care journey.

In practice, patient data is created across multiple care settings, EHR instances, documentation standards, and data formats: clinical, claims, quality, and operational alike. Without consolidating the data, organizations are left to manually stitch together partial, often conflicting versions of the same patient record.

The downstream impact is familiar: manual reconciliation for clinical quality reporting, analysts validating data instead of enabling interventions, and care gaps identified too late or not trusted at all. Analytics aren’t failing for the lack of effort; they fail because the data is incomplete, fragmented, or inconsistent.

Normalization at the source is the breakthrough

The breakthrough isn’t more dashboards; it’s aggregating and standardizing patient data before analytics ever start.

Infor Cloverleaf enables this by ingesting clinical data from diverse sources, including HL7 v2, CCDA, CSV, and more, and transforming it into FHIR R4 at the point of integration.

This FHIR-native normalization unlocks:

• Longitudinal patient records across encounters and care settings
• Automated calculation of eCQMs and quality measures
• Stronger data integrity for CMS reporting and faster identification of care gaps

Instead of cleaning data downstream, normalization happens as data enters the ecosystem.

From retrospective reporting to decision confidence

When organizations have a unified view of their patients’ health, population health analytics fundamentally change. Teams gain a trusted, chronological view of patient history, greater confidence in quality and performance metrics, and the ability to move from retrospective reporting to proactive, real-time population health management.

When patient data is complete and coherent, analytics stop chasing the past and start guiding what happens next.

Why this matters now

CMS expectations for eCQM reporting and population-wide transparency continue to expand—alongside increasing pressure to act on insights, not just report them. Manual normalization and reconciliation do not scale to meet those demands.

At ViVE, healthcare leaders will see how modern interoperability, powered by Cloverleaf and cloud-scale platforms, can:

• Reduce analytic noise at the patient level
• Improve regulatory compliance
• Deliver real-time, actionable insight without adding operational burden

Register today and join Infor at ViVE 2026 to see how centralized, unified patient data unlocks population health analytics leaders can finally trust.