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The HealthEdge® 2026  Annual Payer Report, “The Great Rebalancing: Inside the New Realities Shaping Health Plan Performance,” reveals how health plans are navigating growing financial pressure, complex compliance demands, and rising expectations from both members and providers.

Based on responses from more than 550 executives across commercial, government, and dual-eligible plans, the report highlights how today’s leaders are rethinking investment strategies to stay competitive in an increasingly unpredictable environment.

5 Key Priorities for Healthcare Payers in 2026

Survey responses indicated that there are five key areas where health plan leaders are focusing their strategic attention in the year ahead. Instead of waiting to react to industry changes, executives are investing in tools that empower their teams to be proactive in addressing market demands.

1. Cost Pressures Reach a Tipping Point

For the second year in a row, cost containment is the top priority for payers, driven by the projected rise in U.S. healthcare spending to $7.7 trillion by 2032. With financial pressure mounting across all corners of the system, from shrinking plan margins to increasing member cost-sharing, executives are focusing their strategies on operational transformation.

• 34% are using artificial intelligence (AI) and analytics to automate manual work and reduce rework
• 27% are prioritizing core system modernization to eliminate inefficiencies
• 26% are investing in digital engagement tools to scale service and improve efficiency

These strategies signal a shift toward structural change, not just incremental savings.

2. OBBBA Drives Enrollment Uncertainty and Strategic Realignment

With the One Big Beautiful Bill Act (OBBBA) introducing more dynamic eligibility requirements and real-time enrollment validations, payers are navigating a new level of scrutiny. These changes are prompting leaders to rethink how they manage data, collaborate with providers, and assess risk.

Key payer responses include:

• 25% are expanding provider collaboration to enable real-time clinical data sharing
• 19% are enhancing risk assessment models to stay ahead of eligibility disruptions
• 17% are tightening data validation controls across administrative systems

As enrollment data becomes more fluid and more consequential, payer success will increasingly depend on infrastructure that can respond in real time with accuracy, transparency, and flexibility.

3. The Member Experience Perception Gap

The 2026 Payer Survey also revealed a clear disconnect between how payers and members view the plan-member relationship. According to the 2025 HealthEdge Consumer Report, 76% of payers believe they’re seen as true partners in care—while only 51% of members say the same. This 25-point gap has business implications: 27% of consumers say they’re likely to switch plans this year.

Based on their responses, health plans are taking steps to strengthen engagement, including:

• Investing in omnichannel communication and mobile tools
• Offering self-service options and virtual assistants
• Increasing personalization with health recommendations and incentive programs

While digital solutions are expanding, the challenge is ensuring they translate to meaningful connections and long-term loyalty.

4. Provider Engagement: Payers Focus on Self-Service and Accuracy

The survey highlights persistent challenges in provider engagement, with many health plans struggling to streamline interactions and reduce administrative burden. When asked about the biggest barriers to effective provider collaboration, payers cited the following challenges:

• Delays in claims processing
• Delays in responding to prior authorization requests
• Lack of self-service tools
• Limited access to real-time data

In response, payers are taking practical steps to improve operational efficiency and rebuild trust. The most common actions include improving payment accuracy (38%), expanding value-based care contracts (35%), and investing in modern provider data management systems (33%).

While provider relationships are not always viewed as a top strategic priority, these efforts show that many payers recognize the connection between strong provider collaboration and their ability to meet broader goals around compliance, cost containment, and member satisfaction.

5. AI Adoption Accelerates and the Gaps Are Becoming Clearer

AI is rapidly becoming embedded in health plans’ day-to-day operations. According to the survey, 94% of payers have gone live with AI tool or are actively adopting one, demonstrating how quickly the industry has moved past pilot experimentation. Nearly half of executives (47%) reported either widespread adoption or active departmental use across their organizations.

Yet while AI usage is accelerating, adoption is not uniform across the industry. Mid-sized plans (2–10M lives) are 30% more likely than their peers to report widespread AI adoption. Plans serving Dual-Eligible and Military/Veteran populations lead adoption by more than 10 percentage points over other segments.

Confidence in AI tool use also varies by role: 31% of executive leaders believe their organizations have achieved widespread AI adoption, compared with only 3% of operational and regulatory leaders, revealing a notable perception gap between leadership expectations and on-the-ground implementation.

While AI adoption rates may be high, operational readiness is uneven. Only 31% of payers report having a fully defined AI governance model with standards, guardrails, and accountability structures in place. The remainder are at varying levels of maturity:

• 44% have established some guidelines but are still refining them
• 28% are in exploratory or early pilot phases
• 16% are researching use cases without live implementations
• 6% have no governance in place at all

This gap underscores a growing operational risk for some payers. As AI becomes more deeply woven into claims workflows, care management, member engagement, and payment accuracy, health plans will need robust oversight to avoid compliance issues, algorithmic bias, and unintended administrative impacts.

The Next Phase: Agentic AI and BPaaS Models

The report highlights that AI’s momentum is pushing the industry toward a new operational paradigm. Future-state BPaaS models, powered by agentic AI systems capable of autonomous action, are expected to shape the next era of automation. According to the research, these models will help payers streamline end-to-end workflows, improve accuracy, and achieve real-time responsiveness across high-volume processes.

For payers, this shift represents more than a technology upgrade. It marks a transition toward adaptive, continuously learning operations, where AI augments human expertise and supports the demands of cost containment, compliance, and service excellence.

Looking Ahead to 2026

This year’s survey reveals an industry reshaping its foundations in response to economic, regulatory, and stakeholder demands. As payers work to modernize technology, streamline operations, and deepen collaboration with members and providers, those who invest in agility and connected infrastructure will be best positioned for sustainable growth.

Download the full 2026 report to learn more about how health plan leaders are preparing for the pressures and demands of the year ahead.

At HealthEdge, we partner with more than 130 health plans to support that transformation. Explore how we can help you move faster, reduce costs, and build stronger relationships across your ecosystem. Request a demo to see how the integrated HealthEdge solution suite can support your organizational goals.

As health plans become increasingly reliant on complex software platforms to manage operations, timely access to accurate product information is essential. Yet traditional documentation search tools often fall short. Users face dozens of potentially relevant topics, forcing them to click through multiple pages and piece together answers manually—a time-consuming process that slows down critical operational workflows.

At HealthEdge®, we recognized this growing challenge and responded with askHE: an AI-powered documentation assistant that transforms how users interact with HealthRules® Payer product knowledge.

The Documentation Discovery Problem

Standard search functionality across HealthRules Payer help center modules works well for simple lookups, but breaks down when answers span multiple documentation sources. A claims processor investigating records and rule definitions might retrieve 15-20 relevant topics through fuzzy matching, then spend valuable minutes reading each one to find the specific information needed.

This scattered approach to information retrieval created operational friction. Staff needed a way to ask natural language questions and receive synthesized answers that pull context from across the entire documentation landscape, not just a list of potentially relevant pages.

Building the AI-Powered Answer Engine

Figure 1: Architecture: RAG System with Azure AI Search and OpenAI Integration 

The askHE implementation leverages a modern Retrieval-Augmented Generation (RAG) architecture built on Microsoft Azure infrastructure:

• Vector-Powered Document Retrieval: Azure AI Cognitive Search stores document indexes and vector embeddings, connecting to Azure Blob Storage for efficient document retrieval.  When users submit questions, our RAG system identifies relevant documentation chunks through semantic similarity matching rather than simple keyword searches. Azure AI Cognitive Search stores document indexes and vector embeddings, connecting to Azure Blob Storage for efficient document retrieval.
• Intelligent Response Synthesis: Retrieved documents feed into OpenAI’s GPT-3.5 model, which synthesizes information across multiple sources into coherent, conversational responses. Unlike traditional search that returns document lists, askHE processes content in the background and delivers ready-to-use answers.
• Microservices Architecture: Azure Functions running Python 3 provide the application backbone. The microservice ingests requests through an API Gateway, transforms user queries to call the indexer for matching documents, and orchestrates OpenAI API calls to generate synthesized responses—all with minimal latency.
• Seamless User Experience: Integration with MadCap Flare, the external documentation hosting platform, embeds askHE directly within the help center application. Users access the chatbot where they already work, eliminating context switching between search tools.
• Citation-Driven Transparency: Every askHE response includes citation links to source topics, allowing users to verify information or explore concepts in greater depth. Users can click through to specific topic pages or navigate directly to relevant sections of product PDF guides.

Rapid Adoption Validates the Approach

Figure 2: askHE Query Volume and User Engagement Trends 

The numbers tell a compelling story: 23,000 queries from 890 unique users in October alone demonstrate that askHE has become the go-to resource for anyone accessing HealthRules Payer help documentation, from claims processors and customer service representatives to providers and members seeking product information.

This adoption occurred organically, driven by the fundamental value proposition: instant, synthesized answers instead of manual documentation hunting. While formal time savings haven’t been quantified yet, user behavior speaks clearly—staff consistently choose askHE over traditional search when they need answers quickly.

The early metrics validate the strategic decision to invest in conversational AI for documentation access, positioning HealthEdge to scale this capability as user needs continue to evolve.

The Strategic Path Forward: Scaling RAG Beyond Documentation:

The askHE success establishes a proven foundation for HealthEdge’s AI Platform, enabling rapid development of AI agents leveraging the RAG architecture. This same approach is being explored for care plan summaries that synthesize member health information and claims adjudication decision support that provides real-time guidance to processors by retrieving relevant policy documentation, medical necessity criteria, and historical precedents.

The askHE foundation creates opportunities for continuous improvement and measurement. Future iterations will focus on quantifying time savings per query, measuring user satisfaction through embedded feedback mechanisms, and tracking response accuracy to optimize the RAG pipeline.

RAG architecture’s flexibility allows for expansion—adding new documentation sources, fine-tuning retrieval algorithms, and potentially upgrading to more powerful language models as business needs and investment justification evolve. The vector database infrastructure scales efficiently, supporting growing documentation volumes without degrading performance.

By removing barriers to information access, HealthEdge is empowering users across the enterprise to make faster, more confident decisions. As we continue to expand AI capabilities across our product suite, we remain focused on practical solutions that reduce friction and improve user experience. To explore more about how HealthEdge is leveraging AI across the health plan lifecycle, visit our AI Resource Center or contact us for a personalized demo.

Managing payments for a health plan is not as simple as it was a few decades ago. Updated billing models, new compliance mandates, and complex provider networks can make it challenging for payers to align their processes and effectively manage payments.

In this blog, we unpack three common barriers to payment efficiency and what to look for in a payment integrity solution.

3 Key Barriers to Healthcare Payment Integrity

1. Disparate vendor network

To deal with complex healthcare payments, health plans often work with multiple vendors and disparate solutions. Often, each vendor focuses on one part of the process, like pricing, policies, or reviewing payments after they’ve been made. While this approach offers specialized support, it can lead to a tangled system where similar tasks are repeated by different partners. This setup makes it hard for health plans to make changes quickly or respond to new challenges.

2. Disconnected data sources

When each vendor keeps data within their own systems, information is siloed and hard for health plans to piece together in a meaningful way. In addition, any errors in the process are often handled on an individual basis, making it difficult to see bigger trends or identify recurring problems. This can lead to health plans taking action without a clear, unified view of the process.

3. Workflow inefficiency and payment errors

Most existing payment integrity systems work backwards: They try to find and recover funds from incorrect payments after the payment request is sent. This means health plans pay third-party vendors to track down mistakes that were made in-house – and likely could have been avoided. The payment recovery process can also be slow and expensive, leading to wasted resources and frustration.

A Unified Approach to Health Plan Payment Integrity

The team behind HealthEdge Source™ recognized that healthcare payers didn’t need another third-party editor or another pricing tool. Instead, health plans needed a way to integrate and streamline claims processing.

With the HealthEdge Source payment integrity solution, health plans have access to custom configuration, editing, and advanced analytics tools all in one place for greater visibility and catch errors before payments are sent.

4 Key Features of HealthEdge Source

• Easy Edit Building: HealthEdge Source includes a no-code edit builder, allowing users to create and update payment edits without special requests from engineering teams. An edit can be built and published in minutes.
• Automatic Updates: The platform automatically incorporates new rules based on regulatory changes from agencies, like the Centers for Medicare and Medicaid Services (CMS). New rules are built in every two weeks, with no manual work for your team.
• Test Before Going Live: A built-in Monitor Mode allows users to test new edits on real claims without affecting actual payments. This allows teams to see the impact of a new rule before fully implementing it.
• Clear Tracking and Analytics: Every claim is tracked with a detailed audit trail, and the system offers advanced analytics to help health plans spot trends, track performance, and make better decisions.

By uniting these tools in a single solution, HealthEdge Source helps turn payment accuracy from a guessing game into a straightforward, proactive process.

Innovations in Payment Integrity: Edit Management Enhancements

The HealthEdge Source team is always working on new solution enhancements based on user feedback and changes in the industry. Recently, we implemented two key improvements to make managing edits even more efficient.

1. Simplified Edit Configuration

Managing edits used to mean navigating multiple screens and manually updating rules for each provider type—a tedious and error-prone process. Now, HealthEdge Source offers a single, consolidated interface where all configurations happen in one place.

For example, if a health plan wants to require prior authorization for high-cost imaging services, this can be enabled with a single click for every relevant facility or provider group. If there’s a need for an exception, such as excluding emergency services, it takes only a few seconds to adjust.

This approach to configurations helps improve efficiency for policy management. Health plan teams can view, enable, adjust, or turn off edits for different provider types using simple checkboxes across the same dashboard, rather than tracking changes across separate screens. Centralizing these functions saves time while reducing the risk of manual errors and helps ensure updates are reflected in the proper places.

2. Global Edit Exceptions

With global edit exceptions, users can create exception rules in one central location, then apply them across as many edits as needed. If a particular provider, like a large hospital network, should be exempt from certain claim edits, a health plan only has to set up their tax ID or configuration details once. This rule can then be linked to every relevant edit, instead of repeating the same exclusion logic each time. This centralized approach reduces duplicate work and makes it easier to standardize processes across the organization.

When a contract changes or another provider needs a similar exception, users simply update the global exception in the central library, and the change automatically applies to the connected edits. This helps reduce the risk of missing updates or implementing inconsistent rules across a single system. For example, if a health plan wants to adjust exclusion criteria for a set of specialty providers, those updates can be handled quickly and accurately by revising a single rule, rather than searching for and editing each instance individually.

Ultimately, this approach helps deliver a stable, scalable foundation for managing edits, empowering health plans to manage regulatory shifts and network changes as a controlled process.

Watch our on-demand webinar, “Edit Smarter Not Harder with HealthEdge Source™” to get an inside look at how connected, automated payment integrity can work day to day.

AI is reshaping how software gets built—enabling faster delivery, real-time iteration, and deeper collaboration between technical and business teams. At HealthEdge^®, we’re exploring how AI-driven tools can streamline development while maintaining the precision required for healthcare technology. During a recent internal bootcamp, we put this concept to the test, and the results were game-changing.

For decades, product development has followed the same playbook: write extensive product requirement documents (PRDs), create detailed technical specifications, and document requirements. Teams invest weeks in upfront planning but still miss requirements and experience defects. The uncomfortable truth is that more documentation doesn’t necessarily lead to better outcomes.

Our recent AI bootcamp revealed a different path forward. In only four hours, paired teams of developers and executive leadership built fully functional applications that would normally take 1-2 weeks. But the real breakthrough wasn’t speed. It was what happened to the traditional process. When you can build working software in hours instead of weeks, the whole dynamic changes:

• Requirements stop being documents and become conversations.
• Stakeholders see what they’re getting while there’s still time to course-correct cheaply.
• Engineers and business leaders iterate together on actual, interactive software, figuring out what to build by building it rather than trying to specify it perfectly up front.

AI accelerates the implementation work, but the critical decisions about domain logic, compliance requirements, and business rules still require human expertise. The tools handle the coding, and developers can focus on the judgment calls that actually matter.

Why We Needed to Experience It, Not Just Discuss It

Our executive team had heard about AI’s potential to transform workflows. Developers knew these tools could accelerate development. Yet the gap between theoretical understanding and realized value remained wide. We needed to demonstrate the spec-driven development experience firsthand to show, not tell, how AI tools fundamentally change what’s possible.

The bootcamp was designed as a competition. We paired developers with executive leaders, assigned team members to simulated business roles, gave them 4 hours to build, and then presented keynote demonstrations of their solutions to judges.

Building a Customer Sentiment Navigator in Record Time

My team tackled a genuine business need: a navigator that aggregates customer sentiment across call transcripts, emails, and support tickets. The requirements included time-series visualizations to show emotional trends per customer, actionable item tracking with status management, and integration hooks for care management workflows. Conservatively, this would take 1-2 weeks. We had four hours.

Figure 1: The customer sentiment navigator showing active alerts and trend visualization

As part of HealthEdge’s partnership with AWS, we received early access to Kiro, a new integrated development environment (IDE), that flips the traditional coding paradigm. Unlike copilot-style tools that suggest code line-by-line, Kiro emphasizes requirements refinement and architectural design first. I fed our product requirements document into Kiro, and it generated comprehensive requirements and design documentation. Following my edits and approval, Kiro transformed the documentation into a granular task breakdown.

Figure 2: Kiro’s workflow – transforming PRD into requirements, design, and task list

Once the task breakdown was ready, Kiro went to work. It moved methodically through each task, implementing features one at a time. You could watch it work: build the data models, wire up the API endpoints, create the UI components. Within 30 minutes, we had a working application with LLM-powered sentiment analysis, dashboard visualizations, and core workflow functionality.

The Parallel Productivity Advantage

The parallel productivity unlocked here defines spec-driven development. While Kiro refined the application autonomously—fixing performance bottlenecks and correcting visualization bugs—I could context-switch completely to support teammates with their other tasks across their assigned personas.

When I noticed issues, conversational debugging replaced traditional reproduction steps and stack traces. “Sentiment analysis is running on app startup and slowing everything down.” Kiro understood the implication, refactored to asynchronous processing, and validated the fix. The feedback loop became describe-resolve-validate instead of write-test-debug-fix.

With time remaining, we added automatic JIRA ticket content generation for critical sentiment indicators—a feature that would normally trigger sprint planning. I described the requirement, and Kiro generated properly formatted ticket content using an LLM. This crystallized something important: spec-driven development doesn’t just compress timelines—it fundamentally expands what you can achieve within fixed constraints.

Figure 4: AI-generated actionable insights from sentiment data

When Experience Transforms Understanding

Four hours later, our team had built a production-quality customer sentiment navigator with LLM-powered analysis, interactive dashboards, actionable item tracking, and automated JIRA ticket content generation. We prepared our keynote and finalized deliverables for each persona, then demonstrated them to judges.

The reaction wasn’t just excitement about the output. It was recognition that something fundamental had changed. Executive leaders who stepped outside their comfort zones saw how AI could transform workflows across functions. Financial modeling, requirement refinement, design iteration, and content creation—all accelerated through AI assistance. Everyone left understanding this wasn’t an incremental improvement. This was a new operating model.

For HealthEdge’s comprehensive healthcare technology platform, the implications ripple outward. Developers can redirect energy from boilerplate implementation toward genuine complexity: core administrative processing logic, care management workflows, payment integrity algorithms, and the intricate integrations connecting health plans, providers, and patients. The spec-driven development experience accelerates the tedious while preserving space for intellectually demanding work.

From Prototype to Production

The bootcamp demonstrated spec-coding’s sweet spot: bringing ideas to life rapidly for customer demos, gathering feedback, or adding quick value to existing workflows. The path from prototype to production is straightforward—continue prompting the LLM to integrate features into larger codebases, connect to production infrastructure, and harden security. This makes spec-driven development particularly valuable for customer engagement: need to show a prospective client how their workflow could improve? Build it in an afternoon with real data and clickable interfaces.

The Boundaries and the Future

Spec-driven development is powerful precisely because it’s human-directed development. Throughout the bootcamp, I remained responsible for architectural decisions, requirement validation, and output quality.

In healthcare technology specifically, this oversight is non-negotiable. AI tools don’t inherently understand HIPAA compliance, clinical workflow requirements, or regulatory complexity. The AI-driven development experience accelerates implementation, but domain expertise and compliance obligations remain firmly in human hands.

This bootcamp validated that spec-driven development represents a clear competitive advantage for healthcare technology companies. As HealthEdge evaluates broader adoption of tools like Kiro, we’re exploring how to build capacity to deliver customer value at unprecedented speed.

The core insight from this evaluation is clear: spec-driven development isn’t a novelty or a shortcut. It’s the new baseline for what effective software development looks like in healthcare technology.

And once you’ve experienced it, there’s no going back to the old way.

 

Health plan leaders have dozens of digital solutions to choose from—so many that it can feel like real partnership is rare. Too often, vendors deliver software and walk away, leaving health plans navigating complex systems, shifting regulations, and employee upskilling alone while staff tackle day-to-day responsibilities. As a result, technology that looks good on paper fails to enable real change.

Why? Real transformation starts when technology comes with a partner, not just a platform.

HealthEdge Wellframe™ brings the human touch back to digital health. As a comprehensive care management and member engagement platform, Wellframe helps health plans combine adaptable technology with hands-on partnership to improve outcomes and create better member experiences. Our platform extends the reach of care teams through mobile-first engagement, two-way communication, and data-driven insights that bring the right support to members at the right time.

And we know technology alone isn’t enough. That’s why we pair every solution with hands-on partnership—guiding health plans through change management staff training, and continuous optimization. Because solving healthcare’s toughest challenges always requires people behind the technology who are deeply committed to progress.

Partnership That Starts Before Day One

Collaboration between HealthEdge and our Wellframe customers begins long before contracts are signed. While many vendors show up after the ink is dry, our engagement starts in the earliest stages of discovery.

During the sales process, subject matter experts sit shoulder-to-shoulder with potential clients to assess readiness—not only a health plan’s technology ecosystem, but organization and culture. Our implementation team looks closely at leadership alignment, care management capacity, and digital fluency across the workforce to help build a foundation that supports lasting transformation. When an organization is aligned from day one, digital solutions can take root, scale, and evolve along with the people who use them.

This early collaboration also helps ensure that by the time implementation begins, every stakeholder—from executive sponsor to care manager—understands not only what they’re implementing, but why. That clarity is what turns a deployment into a shared mission.

A Foundation Rooted in Flexibility

The Wellframe platform isn’t a one-size-fits-all solution. It’s a toolkit of digital resources designed to adapt to the unique needs, priorities, and maturity level of every health plan. This means some health plan customers begin their digital journey by implementing the HIPAA-compliant two-way chat, while others roll out comprehensive digital care programs to increase care capacity and member engagement.

Wellframe’s flexible design means clients can move at their own pace, scaling thoughtfully as their digital capabilities change. Whether a payer’s goal is to streamline communication, expand care management reach, improve member satisfaction, or strengthen competitive positioning, Wellframe helps provide the foundation to achieve it.

After Go-Live: Enter the Real Work

Many technology vendors fade into the background once implementation is complete. At HealthEdge, we recognize that digital transformation isn’t a destination—it’s a continuing evolution.

After implementation is complete, our team supports every client via a dedicated customer success manager, customer partner, and digital adoption expert. These teams remain embedded throughout the client’s lifecycle, offering consulting, coaching, and troubleshooting as payer goals shift and new challenges emerge. This commitment goes beyond technical support to deliver an enduring relationship rooted in shared accountability and long-term outcomes.

Guiding Change from Within

One of the greatest challenges in digital transformation isn’t the technology—it’s the people. Health plan staff that are accustomed to phone-based workflows often need support to transition to digital channels that feel less defined but more continuous. Recognizing this, Wellframe invests heavily in change management and upskilling resources tailored to every level of client organizations.

Our Digital Adoption and Clinical Enablement teams provide managers and clinicians with structured training on the how and why of digital care management. This includes practical coaching materials, leadership communication templates, and persona-based guides that address common barriers like hesitancy and administrative fatigue.

We also help health plans identify and cultivate internal champions who can advocate for digital transformation, helping make sure momentum doesn’t stall after implementation. This thoughtful, human-centered approach helps customers move beyond adoption to integration, where digital engagement becomes part of the organization’s internal structure.

Transforming Capacity and Care Delivery

For many payers, partnering with Wellframe unlocks a level of previously impossible scalability. Care teams that once supported a limited number of members by phone can now engage twice as many through scalable digital channels. Programs that were once resource-constrained—like maternal health, chronic condition management, or care transitions—also become more easily scalable through automation and asynchronous communication.

By empowering non-clinical staff to take on supportive digital roles and freeing clinicians from repetitive outreach, Wellframe empowers health plans to serve more members without increasing headcount – ultimately helping improve operational efficiency and supporting greater member satisfaction. In short, our technology amplifies the human touch rather than replacing it.

Continued Collaboration

Wellframe’s partnerships are built for longevity, meaning check-ins often evolve into strategic discussions about growth, optimization, and innovation. When clients want to expand to new populations or experiment with new workflows, Wellframe experts bring best practices, benchmarking insights, and lessons learned from our network.

Because every health plan ecosystem is different, our team tailors recommendations accordingly. Some clients need intensive support following leadership changes or internal restructuring. Others seek quick advice to troubleshoot engagement metrics or improve conversion rates. Whatever the need, our goal is to help clients evolve confidently with the platform.

Connection Across the HealthEdge Ecosystem

As part of the integrated HealthEdge ecosystem, Wellframe extends the value of partnership through deep integration with HealthEdge GuidingCare®, a unified care management solution that brings care teams, data, and workflows together to better support member care journeys. The Care-Wellframe integration allows health plans to seamlessly combine member-reported data with clinical and operational insights, creating a more complete picture of each member’s health journey.

This ultimately allows care teams to act faster by eliminating redundant workflows and reducing “phone-tag” inefficiencies. By putting actionable insights directly in the hands of care managers, health plans can deliver more coordinated, personalized care.

The Human Difference

What truly sets the Wellframe team apart is the culture of empathy, collaboration, and curiosity that drives every engagement. Our teams don’t simply implement software; they build relationships grounded in trust and mutual success.

That commitment—to learn alongside our partners, to iterate together, and to always keep the member relationship at the center—is what makes Wellframe more than a product. It’s what makes us a true transformation partner through HealthEdge.

See how Wellframe is helping health plans nationwide address population health through whole-person care. Download our eBook, “Advancing Population Health: Strategies for Health Plans Navigating Change, Compliance and Innovation.”