Healthcare

How Payers Are Rethinking Affordability

By Kiran Simhadri
A person's hand on a piece of paper with a stethoscope and tablet.

Explore the structural drivers of healthcare cost and why traditional cost-control levers are no longer enough.

For the past decade, health plans have responded to rising costs in familiar ways: adjusting premiums, shifting more financial responsibility to members, tightening networks, and introducing new point solutions. These approaches have helped manage short-term pressure, but they have largely been layered onto a system that was never designed for affordability in the first place.

In 2026, the question is no longer just how to manage cost trends more effectively. It is whether the current model can sustain the level of cost, complexity, and fragmentation that now defines it.

The limits of incremental change

Medical cost trend remains elevated, with projections in the high single digits across both group and individual markets. At the same time, margins are under pressure due to a combination of utilization increases, labor costs, and regulatory dynamics.

Affordability concerns are also becoming more visible. Members are delaying care or becoming more selective in how they engage with the system. Employers are reevaluating benefit strategies and looking for more predictable cost structures. Regulators continue to push for greater transparency and accountability.

Against this backdrop, many of the traditional levers are showing diminishing returns.

Higher deductibles can reduce utilization in the short term, but they often delay necessary care and lead to more expensive interventions later. Narrow networks can control unit cost, but they do not address why care is needed or whether it is delivered in the most appropriate setting. Point solutions can address specific gaps, but they frequently introduce additional fragmentation and administrative overhead.

These tools are not going away. They will continue to play a role in how payers manage cost. However, relying on them alone is not enough to meaningfully change the trajectory of spend.

This is prompting payer organizations to redefine the problem. Instead of focusing only on how to control cost, leaders are beginning to ask a more foundational question: what is driving unnecessary cost within the system?

From managing cost to understanding cost drivers

A more structural view of cost requires looking beyond claims and utilization patterns to examine how the system itself operates.

In many cases, cost is not just the result of clinical decisions. It is influenced by where care is delivered, how providers are reimbursed, how information is shared, and how patients move through the system. Misaligned incentives, limited data visibility, and administrative complexity all contribute to higher total cost of care.

Administrative processes are a clear example. Manual workflows, disconnected systems, and inconsistent data standards create inefficiencies across eligibility, prior authorization, claims, and care coordination. These inefficiencies do more than slow down operations. They introduce avoidable cost for both payers and providers.

As a result, many organizations are prioritizing efforts such as:

  • Improving real-time data exchange between payers and providers
  • Reducing avoidable denials and the rework associated with them
  • Streamlining prior authorization and claims processes

These initiatives are often viewed as operational improvements, but they also represent an opportunity to remove structural cost drivers that have persisted for years.

For IT and data leaders, success requires a mindset that goes beyond reporting on cost. It’s about enabling visibility into how costs arise and providing the tools and data to intervene effectively.

Moving upstream: prevention and early intervention

Another important development is the increased focus on earlier engagement with members.

Historically, the system has been reactive. Interventions often occur after a condition has progressed or after a high-cost event has already taken place. As chronic conditions and behavioral health needs continue to rise, this approach becomes more difficult to sustain.

Payers are responding by investing more in:

  • Preventive care access
  • Chronic disease management
  • Behavioral health integration
  • Personalized member engagement

The goal is to identify risk earlier and intervene before costs escalate, and the potential impact is significant. Earlier intervention can reduce hospitalizations, avoid complications, and improve long-term outcomes. However, executing on this approach requires more than new programs. It depends on timely data, effective care coordination, and the ability to engage members in meaningful ways.

This is where technology plays a central role. Advanced analytics, interoperable data platforms, and AI-driven insights can help identify at-risk populations and support more proactive decision-making.

Alignment across the ecosystem

Affordability cannot be addressed by payers alone. Many of the underlying drivers of cost are tied to how providers deliver care and how services are reimbursed.

For years, payers and providers have often operated with competing incentives. Fee-for-service models reward volume, while payers focus on controlling utilization and cost. This misalignment creates friction and limits the effectiveness of cost management strategies.

Organizations are gradually adopting more aligned models. Value-based care arrangements, shared savings programs, and risk-based contracts are all designed to link reimbursement to outcomes and total cost of care.

While adoption varies, the direction is clear. Greater alignment between payers and providers is becoming an important component of cost management and care redesign.

From a technology perspective, this evolution introduces new requirements. Data must be shared more seamlessly across organizations. Performance must be measured consistently. And both parties need access to timely insights that support joint decision-making.

Redefining the role of the payer

As these changes take shape, the role of the payer is also evolving.

Traditionally, payers have operated as financial intermediaries, focused on claims processing, network management, and cost control. While those functions remain essential, they are no longer sufficient to meet the demands of the current environment.

Many organizations are moving toward a more active role in coordinating care and supporting member decision-making. This includes guiding members to appropriate providers, enabling access to lower-cost care settings, and helping individuals navigate complex treatment pathways.

It also requires connecting data, systems, and stakeholders across the broader ecosystem. This is where investments in interoperability, cloud-based data platforms, and AI become critical. Organizations need to build architectures that support real-time data exchange, integrate disparate systems, and enable analytics that inform both operational and clinical decision-making.

A transition point for the industry

Cost management will remain a central priority for payer organizations. However, the approach is evolving. 2026 represents a transition point where the limitations of incremental change are becoming more apparent, and where more organizations are starting to invest in structural improvements.

Progress will not be uniform. Some payers will continue to focus on optimizing existing levers, while others will take a more proactive approach to redesigning how care is delivered and managed.

The organizations that make meaningful progress are likely to be those that combine both perspectives. They will continue to manage cost in the near term while also addressing the underlying factors that drive cost over time.

For healthcare IT and data leaders, this creates an opportunity to play a more strategic role. By improving data visibility, reducing administrative complexity, and enabling better coordination across the ecosystem, technology can help move the industry closer to a more sustainable model.

In our next blog post, we will dive into one of the key cost drivers—administrative complexity—and explore how technology, automation, and data platforms can help payers streamline operations, reduce friction, and enable more proactive decision making.

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