Risk stratification has been a cornerstone of population health management to identify members who may need additional support, prioritize resources, forecast utilization, and focus care management efforts where they can have the greatest impact.
That approach still has value. But what has changed is the amount of information available between risk stratification cycles.
Care management teams now have access to hospital admission alerts, discharge notifications, pharmacy data, prior authorization activity, care management documentation, social determinants of health information, clinical data feeds, and member engagement data. Those inputs can reveal meaningful changes in a member’s situation before they appear in a claims-based risk score or a scheduled population review.
Teams that continue operating care management programs around periodic risk refreshes may find themselves managing members on a slower timeline than the measurement and reporting environment around them.
The biggest competitive advantage is the ability to recognize meaningful changes and incorporate them into operational workflows before those changes affect quality performance, utilization, or member outcomes.
Risk Scores Provide Context, Events Provide Timing
Risk stratification and event-driven care management are discussed as competing approaches, but they serve different purposes.
- Risk stratification uses historical clinical, claims, and demographic data to categorize members by risk level, helping teams prioritize resources, target interventions, and plan population health strategies.
- Event-driven care management uses real-time or near-real-time member events to identify changes in health status or circumstances, which lets teams respond quickly and support timely interventions.
A member’s risk score can stay about the same even when a lot is happening behind the scenes. Changes in health status, behavioral health needs, medication adherence, caregiver support, transportation, housing, or other day-to-day challenges can affect a member’s situation before they show up in a scheduled risk assessment.
The difference between what’s happening in real life and what’s reflected in a risk score matters. Health plans are being asked to improve outcomes, reduce avoidable utilization, and support populations with a wide range of clinical and social needs. The sooner those changes are identified, the more opportunity there is to intervene before problems escalate.
Related Reading: Risk Adjustment for Health Plans: Operational Levers Beyond Coding
Claims Data Has Its Limits
Claims data is still one of the most important resources available to managed care organizations. It provides a broad view of utilization patterns, diagnoses, costs, and historical performance. But it’s also retrospective by nature.
By the time a claim is submitted, processed, and incorporated into reporting, the underlying event has already occurred. The lag is more noticeable when organizations are trying to intervene earlier, prevent deterioration, or address rising risk before it results in higher utilization.
Research published in The American Journal of Managed Care took a look at this challenge several years ago. It found that models incorporating admission, discharge, and transfer (ADT) alerts, social determinants of health information, and care management data identified high-cost members more effectively than models relying primarily on claims and demographic data.1 The authors also observed that many organizations struggled to collect, integrate, and operationalize these additional data sources.1
The technology has advanced considerably since that study was published in 2022, but the operational challenge remains familiar.
Health plans possess enormous amounts of data but continue to face questions about how that information should flow through care management workflows, operational teams, and decision-making processes.
NCQA’s Roadmap for Continuous Data Integration
One of the strongest signals supporting event-driven care management comes from NCQA’s own priorities.
In its 2026 Trends to Watch report, NCQA highlighted continued movement toward interoperability, digital quality measurement, real-time data exchange, and greater use of clinical data within quality programs.
Most HEDIS measures are now available in digital formats, and NCQA continues expanding the use of Electronic Clinical Data Systems (ECDS) measures while incorporating additional clinical data into measurement programs.2 NCQA also expects broader adoption of digital HEDIS measures as organizations continue testing and implementing these capabilities.2
NCQA has also published a timeline for retiring hybrid measurement approaches in favor of digital measurement. That means organizations will need systems and workflows that can support ongoing clinical data integration instead of depending on annual chart collection projects and retrospective data gathering.
The Bigger Challenge Is Operational
Conversations about event-driven care management usually center on technology, analytics, interoperability, or artificial intelligence. Technology plays an important role, but operational design ultimately determines whether event-driven programs produce meaningful results.
Health plans already receive a steady stream of information from multiple sources, and now they must turn those signals into timely action.
Hospital admission alerts need clear ownership. Changes in medication adherence need follow-up processes. Patterns in appeals activity require investigation. Newly identified social needs need pathways into ongoing care management activities. Clinical, operational, quality, and member services teams need visibility into the same information at the appropriate time.
Without those processes, you end up with more data and little change in day-to-day operations.
Wolters Kluwer recently observed that payers continue to struggle with fragmented information and retrospective decision-making despite growing investments in analytics and data infrastructure. Their experts emphasized the importance of identifying rising-risk members earlier and using data in ways that support timely intervention.3
Data is becoming easier to acquire. But operational alignment is harder to achieve.
Building the Foundation for Event-Driven Care Management
A great care management program combines traditional risk stratification with event-based workflows.
Risk scores help organizations understand the broader population. Events provide visibility into what is changing within that population. And together, they create a more complete picture of member needs than either approach can provide independently.
This is invaluable for organizations serving complex populations, including Medicaid, dual-eligible, LTSS, behavioral health, and other high-needs member groups where circumstances can change quickly and intervention can have a meaningful effect on outcomes.
As interoperability expands, care management programs will have greater opportunities to identify changes earlier, prioritize outreach more effectively, and support members before avoidable utilization occurs.
To explore event-driven care management, start by evaluating technology and coordination across teams:
- Which events warrant intervention?
- How quickly should teams respond?
- Who owns follow-up activities?
- How are outcomes measured?
- Which data sources are already available but underutilized?
- Where are delays occurring between information and action?
Clearlink helps managed care organizations strengthen this operational foundation through clinical and operational management services, delegated care management support, workflow design, reporting optimization, technology assessment, implementation support, and population health program development.
Want to talk through your options? Contact us to learn how your organization can move beyond periodic risk stratification and build care management workflows that identify meaningful member changes earlier, support timely intervention, and make better use of the data already available across your enterprise.
Frequently Asked Questions
What is event-driven care management?
Event-driven care management uses real-time or near-real-time events, such as hospital admissions, discharges, medication adherence concerns, prior authorization activity, or changes in social needs, to trigger care management activities and member outreach.
Does event-driven care management replace traditional risk stratification?
No. Risk stratification remains valuable for population segmentation, resource allocation, and long-term planning. Event-driven care management adds another layer of visibility by highlighting changes that may require immediate attention between risk assessment cycles.
Why are health plans investing more heavily in event-driven care management?
Health plans have access to significantly more clinical and operational data than they did several years ago. Interoperability initiatives, clinical data exchange, ADT feeds, ECDS reporting, and digital quality measurement efforts are creating opportunities to identify member needs earlier and support more timely interventions.2
How does NCQA’s digital measurement strategy affect care management programs?
NCQA’s emphasis on digital quality measurement, interoperability, ECDS reporting, and clinical data integration reflects broader industry movement toward continuous access to clinical information.2 Organizations whose care management programs rely heavily on retrospective reporting may need operational models capable of working with more current data sources.
Sources
1. Improving Risk Stratification Using AI & Social Determinants of Health, The American Journal of Managed Care
2. NCQA’s 2026 Trends to Watch, NCQA
3. Healthcare Payer Analytics & Data Strategies in 2026, Wolters Kluwer