The gap between insight and performance: What our Becker’s webinar revealed 

Healthcare payers are operating under sustained margin pressure. Rising specialty drug costs, post-COVID utilization shifts, Medicaid and Medicare Advantage margin compression, and increasing quality expectations are all converging at once. At the same time, organizations have more data than ever before. 

So why isn’t performance improving at the pace it should?

In our recent Becker’s Healthcare webinar, industry leaders shared their perspectives on this challenge. The takeaway was that the problem isn’t access to analytics but an inability to consistently turn insight into action. 

Dashboards are not enough. Closing the gap between insight and action is essential for performance improvement.

Nearly every health plan today has established dashboards, reports, and analytics tools. But that is where too many organizations have stalled. Insights are generated, opportunities are identified, but action doesn’t follow. 

A major reason for this gap is fragmentation. Clinical, financial, operational, and pharmacy data often live in separate systems, managed by different teams. Each group develops its own version of the truth, creating competing narratives instead of alignment. When leaders don’t fully trust the data—or don’t see how it connects to financial outcomes—decision-making slows, opportunities are missed, and initiatives fail to deliver measurable impact. 

The data problem isn’t just integration. It is completeness.

Traditional healthcare data captures only a fraction of what drives cost and outcomes. Most of a member’s life happens outside the healthcare system. That’s where many of the biggest cost drivers occur. 

Factors like food insecurity, transportation barriers, financial instability, and health literacy all influence utilization, adherence, and outcomes. Without incorporating this broader context, health plans are making decisions based on incomplete information. 

Leading organizations are shifting toward a more holistic member view, bringing together clinical, financial, and social data into a unified perspective. This enables a deeper understanding of risk, clearer identification of cost drivers, and more targeted interventions. 

From “what” to “now what.”

Most organizations can identify the “what” through their insights, but they struggle with the “now what” action. Closing that gap requires more than better analytics. It requires a different operating model. 

High-performing plans are: 

  • Aligning teams across domains by bringing clinical, financial, operational, and pharmacy leaders together around shared enterprise outcomes rather than siloed key performance indicators 
  • Focusing on fewer, higher-impact initiatives instead of spreading resources across too many disconnected efforts 
  • Embedding insights into workflows so decisions happen in real time, not after the fact 
  • Holding programs accountable to measurable return on investment, ensuring interventions deliver tangible value 

Shifting from insight to action is what separates organizations that see incremental gains from those that achieve meaningful medical loss ratio (MLR) improvement. 

Prioritization in a volatile environment.

It is easy for organizations to fall into a constant “firefighting” mode by responding to utilization spikes, cost pressures, and regulatory changes without a clear, unified strategy. 

However, the most impactful opportunities require focus and coordination. These opportunities typically sit at the intersection of clinical, operational, and financial domains. Yet many organizations still attempt to address these areas independently. 

Leading plans are taking a different approach by: 

  • Connecting data across domains, such as medical and pharmacy claims 
  • Coordinating programs across functions (care management, quality, risk adjustment, pharmacy) 
  • Bridging the gap between payer and provider workflows 

This cross-domain coordination enables more proactive, predictive interventions, helping organizations address risks before they impact financial performance. 

Implementing AI isn’t the strategy. It’s the performance improvement accelerator.

AI is top of mind across the industry, but the webinar discussion emphasized an important point: organizations don’t fail because they lack AI. They fail because AI is disconnected from the foundation it depends on. 

Without unified and governed data, standardized workflows, and clear ownership, AI becomes another siloed initiative, or worse, a series of pilots that never scale. To deliver real value, AI must be treated as an enterprise capability. That means: 

  • Building on a unified, trusted data foundation 
  • Aligning AI use cases to real operational needs and incentives 
  • Integrating outputs directly into workflows and decision points 
  • Measuring impact in financial and clinical terms 

When applied this way, AI can accelerate the journey from data to insight to action, helping organizations prioritize effectively, personalize interventions, and improve efficiency at scale. 

Preparing for your performance improvement strategy.

Sustainable MLR improvement isn’t achieved through more dashboards or disconnected tools. It requires a coordinated, enterprise-wide approach, one that unifies data, aligns teams, and ensures insights are translated into action with measurable outcomes. 

That’s exactly what we explored in this webinar, from the root causes holding organizations back to the practical strategies leading health plans are using to move forward.  

Watch the webinar to hear how payer organizations are overcoming disconnected analytics and what it takes to drive real, measurable performance improvement. 

Posted in ,

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Get our take on industry trends

Why Social Determinants Need Analytics for Success

Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.

Read on...

Healthcare Organizations Recognize Importance of AI for Reporting

Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:

Read on...

Why It’s Time for Healthcare to Move Toward AI Reporting

Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.

Read on...

Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting

Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born.

Read on...