How healthcare analytics helps health plans and employers measure value-based care

Key takeaways:

• Use analytics to connect value-based care to measurable results. Health plans and employers need insight into outcomes, costs, and member experience.

• Define who is accountable for care and costs. Clear attribution helps align providers, networks, and populations around performance.

• Compare provider performance fairly. Credible benchmarks, peer groups, and risk adjustment help account for clinical complexity.

• Make reporting transparent and actionable. Clear methods help stakeholders trust the data and scale value-based care.

Employers and health plans share the same ultimate goal: better healthcare outcomes for their members at a sustainable cost. Rising market pressures—including escalating healthcare costs and affordability concerns, growing demand for measurable ROI, and the need to improve quality and member experience at the same time—make success dependent on more than shifting reimbursement away from fee-for-service.  Organizations need to move value-based care from aspiration to an operating model grounded in operational discipline, financial accountability, and measurable performance.  That requires trusted analytics, attribution, fair comparisons, and transparent methods that help stakeholders understand where care is improving, where costs can be reduced, and how performance is measured. Advanced healthcare analytics can help turn data into action when organizations apply it with discipline, transparency, and a shared definition of value. 

Why this matters to health plans and employers

Value-based care is no longer relevant only to health plans and hospitals. Large self-funded employers and consulting groups are also looking for ways to manage healthcare affordability, improve workforce health, and evaluate whether programs and provider networks are delivering measurable value. 

1. Who is accountable for the care and costs being measured?

Attribution defines which provider or organization is accountable for a patient’s care and related costs. It may be based on patient choice, visit patterns, cost of care, or services delivered for a condition. Whatever the method, it must be easy to explain and consistently applied. 

Providers need confidence that the right patients are assigned to the right panel before performance is evaluated. Primary care physicians may be accountable for total cost of care, while specialists may be measured on an episode or condition-specific basis. Clear attribution creates the foundation for trust, engagement, and action.

2. Are we comparing performance fairly and credibly?

A strong network management strategy starts with reliable data and methodologies stakeholders recognize. Industry-accepted measures—such as HEDIS/NCQA, Pharmacy Quality Alliance, Choosing Wisely, and AHRQ—can help build confidence because they are familiar and broadly understood. When no single industry standard exists, such as for some episode-of-care analyses, organizations should rely on well-established, clinically credible methods. 

Credible benchmarks also matter. Market-level reimbursement benchmarks can support contract discussions and help payers, providers, and employers evaluate whether rates are competitive and sustainable. Transparency in Coverage files may offer useful signals, but paid claims-based benchmarks remain an important source for practical rate comparisons. 

Provider comparisons are only useful when peers are truly comparable. Reporting should clearly show which metrics are used, which providers are included, and why the comparison group is appropriate. While external datasets are important, the peer group definition determines whether the analysis feels fair and actionable. 

Peer groups should consider practice size, specialty, market, product, and rural or urban setting. For example, an internal medicine physician managing cardiovascular patients should not be evaluated the same way as a cardiovascular surgeon. Thoughtful peer grouping helps providers view results as apples-to-apples rather than punitive or arbitrary. 

Cost and utilization measures are central to value-based care, but they must be interpreted in context. Providers who treat patients with higher clinical risk should not be penalized simply because their patients require more resources. Risk adjustment helps align performance measurement with patient complexity and supports more equitable comparisons across Medicaid, Medicare, and Commercial populations.

Example: Two providers may both treat patients with Type 2 diabetes, but one patient may also have hypertension and foot ulcers. A well-defined risk adjustment method accounts for these differences, so performance reflects care quality and efficiency—not simply patient severity.

3. Can stakeholders understand and act on the results?

Evidence-based methods are essential, but transparency is what enables stakeholders to understand, trust, and act on the results. Providers and payers need to understand how episodes are built, how patients are attributed, how severity is adjusted, and which details support each score—such as care gaps, last service date, current status, and cost drivers. 

Whether the goal is incentivized reimbursement, provider education, value-based contracting, care delivery improvement, or network design, success depends on a shared understanding of the methodology. Clear reporting helps move conversations from debating the data to improving performance. 

For episode-based analysis, see why more than 190 organizations use tools such as Truven’s proprietary Medical Episode Grouper to compare treatment patterns and costs across diseases and conditions.

How Truven helps health plans and employers scale value-based care

For health plans and employers, scaling value-based care requires more than access to data. It requires analytics that can connect claims, eligibility, clinical and provider data. Organizations are also looking for ways to identify opportunities for earlier intervention and translate insights into measurable financial and quality improvement. In one value-based care initiative, a leading mountain west health plan used Truven Health Insights and Flexible Analytics to accelerate predictive modeling, support proactive interventions, strengthen provider collaboration, and lower total cost of care. 

The results demonstrate the practical value of moving from retrospective reporting to actionable analytics. Using Truven’s healthcare analytics capabilities, the plan achieved approximately $11 per member per year in savings—nearly $6.5 million in annual savings—while advancing its broader goal of delivering higher-quality, more affordable care for members. 

That same approach can help organizations answer the core questions outlined above:  

• Who is accountable for care and costs?

• Are provider comparisons fair and credible?  

• Can stakeholders understand and act on the results?  

By combining trusted data, predictive analytics, provider attribution, case-mix adjustment, and flexible reporting, Truven helps health plans and employers turn value-based care strategy into a scalable operating model. 

Organizations that can demonstrate measurable value will be better positioned to compete in an increasingly performance-driven healthcare market. 

Connect with our team today to learn more.