Contributor: How to Pair Data With Clinical Care to Manage Health Care Costs

Health care organizations have more access to data than ever before. Predictive analytics, risk stratification models, claims data, electronic health records, and social determinants of health information now give health plans and provider organizations greater visibility into patient risk than ever before. Yet despite significant investments in data infrastructure, many organizations continue to struggle with rising costs, avoidable utilization, and inconsistent patient engagement.

The challenge is not a lack of insight. It is the gap between identifying risk and changing outcomes.

Much of today's population health strategy focuses on finding patients earlier in the course of disease progression. That visibility is important, but identifying risk does not, by itself, prevent an avoidable hospitalization, improve medication adherence, or help a patient navigate a new diagnosis. Outcomes improve when actionable insights are paired with timely clinical intervention that helps patients engage with care when it matters most.

The Illusion of Digital Engagement in Population Health

Digital tools have lowered the barriers to accessing health information, but access isn’t the same as engagement.

Patients need more than information. They need personal guidance relevant to what they’re facing in the moment. Nurse-led care management moves patients from awareness to action. When the next step feels manageable and someone trusted is there to help, engagement is more likely to continue.

Identifying Care Delays in Rising-Risk Patient Populations

The greatest opportunity in health care cost management lies with individuals whose conditions, health care behaviors, or adherence patterns suggest they need support now. Those signals are easy to miss when organizations rely only on claims history. Claims data is important, but it reflects what has already happened. Stronger models look wider and earlier, using multiple indicators to identify patients who may be struggling before costs rise further.

This may be someone delaying preventive care, missing follow-up visits, or trying to manage symptoms alone. It may also be a patient who is newly diagnosed or recently hospitalized. By the time these issues appear only as high spend, the best window for lower-cost intervention may already be closing.

Where the Real Costs Come From

When needs go unaddressed, costs rise. They are not driven by routine office visits or maintenance prescriptions. Costs rise when emergency care replaces planned care and avoidable hospital stays become the default path. These high-cost events are also concentrated among a relatively small portion of the population, which is identifying and reaching those patients early matters so much. Responding after a hospitalization or emergency department visit is less effective, and more costly, than preventing one in the first place.

Nurse-Led Care Management: The Catalyst for True Human Intervention

Even the best insight has limits without action. Patients are most likely to engage when something in their lives has changed. A hospitalization, a new diagnosis, rising costs, or a condition that limits daily activities create moments when support is welcomed.

This is where nurse-led care management creates value that data alone can’t provide. A skilled nurse explains treatment, coordinates next steps, and helps patients navigate a confusing system during vulnerable moments. They can identify barriers to adherence, re-engage someone who has gone quiet, and keep care on track when life gets in the way. Data may identify who needs support, but human intervention is what allows that support to make a difference.

Shifting From Fragmented Cre to Whole-Person Health

People don’t experience life in neat categories. A person managing their diabetes may also be dealing with anxiety, transportation issues, or new demands at home after a hospitalization. Real life rarely fits the way support programs are organized.

Too often, support is divided into separate tracks that expect patients to connect the pieces on their own. Whole-person care management takes a different approach. It looks at what is getting in the way, brings support into one plan, and makes care easier to sustain. That is better for the patient and more effective for the health plan.

The Time Horizon Problem and Why ROI Is Misunderstood

Care management programs are often judged before they’ve had time to work. In the first year, patients may re-enter care, complete overdue screenings, or address neglected conditions. That activity doesn’t equal immediate savings, yet it reflects progress that helps prevent future complications. The stronger financial story emerges later, as adherence improves, avoidable admissions decline, and chronic conditions are addressed earlier.

Care management success can’t be measured in a single season. It requires strategic thinking and a long-term commitment to the ultimate goal of better patient care.

Actionable Strategies for Health Plans and Health Systems

As health care organizations continue investing in predictive analytics and population health infrastructure, a fundamental question remains: What happens after risk is identified?

The answer may determine whether data investments ultimately translate into measurable improvements in outcomes and utilization. Risk stratification models can identify patients who are likely to experience complications, but reducing avoidable hospitalizations and emergency department utilization requires interventions that influence behavior, address barriers to care, and support patients through complex clinical journeys.

For health plans and health systems, the strategic challenge is not simply expanding analytic capabilities. It is designing care management models that effectively connect data-driven insights with meaningful patient engagement. Organizations that succeed will be those that integrate predictive intelligence with coordinated clinical support, ensuring that risk identification becomes the starting point for intervention rather than the endpoint of analysis.

As health care leaders evaluate the next generation of population health strategies, the most important differentiator may not be how much organizations know about patient risk, but how effectively they translate that knowledge into action.

Mary Bacaj, PhD, is the president of value-based care at Conifer Health Solutions and is responsible for leading the company’s business unit that delivers population health management and financial risk management services to more than 250 organizations.