In my last article, I discussed the importance of operational visibility in risk adjustment. The central lesson came from my experience leading large, outsourced call center operations earlier in my career. We learned that metrics alone could not explain performance. To improve outcomes, leaders needed visibility into the work itself, the conversations, workflows, and activities driving the results. Only then could they identify issues early, intervene effectively, and improve outcomes.
That lesson remains highly relevant in healthcare today.
Many payer organizations are still working to improve visibility into the operations that support risk adjustment, quality programs, vendor performance, and audit readiness. As regulatory scrutiny increases and administrative complexity grows, understanding how work is performed remains a critical challenge. Operational visibility is not a problem we've solved, rather it’s a problem we continue to work on every day.
But there is a second visibility challenge that deserves equal attention: visibility into the member.
Unlike a call center, where the customer is directly communicating their needs, healthcare operates very differently. The payer rarely receives the member's story firsthand. Instead, clinicians, providers, coders, care managers, and documentation systems are collectively attempting to represent a complex clinical reality on the member's behalf.
The challenge is that no single provider sees the full picture.
A primary care physician sees one part of the story. Specialists contribute additional pieces. Hospitals, pharmacies, laboratories, and community providers each hold fragments of the member's medical history. Yet the health plan is often the only organization positioned to bring those pieces together into a longitudinal view of the member they are trying to serve.
The question is whether health plans are fully leveraging that unique advantage, and that matters because risk intelligence should not be confined to risk adjustment.
Risk Scores Are More Than a Risk Adjustment Tool
For many health plans, risk scores are primarily viewed through the lens of risk adjustment. They help support reimbursement accuracy, identify documentation opportunities, and prepare organizations for audits and compliance activities.
Those are important functions, but treating risk scores solely as a risk adjustment metric significantly undervalues their potential.
Consider how financial institutions use credit scores. A credit score is not created simply to approve or deny a loan. It serves as a common indicator of risk that informs a wide range of decisions, from underwriting and pricing, to fraud detection and account management.
Member risk should be viewed in a similar way. A comprehensive risk profile should inform decisions across utilization management, care management, prior authorization, quality improvement programs, population health initiatives, and member engagement. It should provide a common understanding of an individual's clinical complexity, future healthcare needs, and likelihood of adverse outcomes.
The reality is that every critical payer function depends on understanding member risk, yet many organizations still evaluate members through disconnected views of available information.
The Illusion of Visibility
Most health plans have more data than ever before - claims data, clinical data, pharmacy data, quality measures, risk adjustment data, prior authorization records, and more, yet having access to large volumes of data does not necessarily create visibility.
Diagnoses may be captured differently across systems. Clinical concepts may not be represented consistently. Information may reside within separate vendors, departments, and workflows that rarely connect with one another. One team sees the member through the lens of utilization. Another sees quality. Another sees coding. Another sees care management.
Everyone has data, but no one has the whole story. While payer organizations have a unique opportunity to create the most complete picture of the member, assembling data is not the same as understanding it. Clinical information arrives from multiple sources, uses different terminologies, follows different documentation patterns, and often reflects different points in time.
As a result, critical decisions are often made based on the system being viewed rather than the member being served. Without trusted, normalized, and clinically aligned data, organizations may be looking at the same member while reaching very different conclusions.
Prior Authorization Is a Powerful Example
Prior authorization highlights why this matters.
Health plans review thousands of authorization requests every day. The process is designed to ensure appropriate care while managing costs and adhering to medical policy. However, not every authorization request carries the same level of clinical or financial risk.
Imagine a member with multiple chronic conditions, gaps in care, a history of avoidable admissions, and evidence of worsening disease progression. Now imagine that member is evaluated using the same workflow and decision path as a relatively healthy individual with limited healthcare utilization.
Without visibility into the full risk profile, organizations may make decisions that appear appropriate in isolation but create unintended downstream consequences. A service that is delayed or denied based on a narrow interpretation of available information may ultimately contribute to disease progression, an emergency department visit, or a costly inpatient admission.
This does not mean medical policies should be abandoned, it means payer organizations need more intelligence to support better decisions. Not every case should be treated equally because not every member presents the same level of risk.
The most effective organizations will increasingly leverage risk intelligence, workflow automation, and decision support tools to ensure complex members receive the level of review and attention their situations warrant.
Breaking Down the Walls Inside the Health Plan
Historically, health plans have been organized around functional areas.
- Risk adjustment focuses on documentation and coding accuracy.
- Utilization management focuses on medical necessity.
- Care management focuses on intervention and support.
- Quality teams focus on outcomes and performance measures.
Each group serves an important purpose; however, members do not experience healthcare through departmental silos.
The same member may simultaneously be impacted by decisions made across risk adjustment, utilization management, care management, quality, and population health. If each team is operating from a different understanding of that member, opportunities for coordination are inevitably lost.
The most forward-thinking organizations are beginning to recognize that member intelligence should not reside within a single department.
Instead, they are working toward a shared view of the member that can be leveraged across the enterprise.
A trusted, normalized data foundation lets risk, clinical, quality, and utilization information support more consistent decisions across every touchpoint.
When everyone is working from the same understanding of the member, organizations can route work more effectively, prioritize interventions more appropriately, and make decisions with greater confidence.
The Next Competitive Advantage: Decision-Ready Data
For years, healthcare organizations have focused on collecting more data. Most have succeeded.
The next challenge is creating decision-ready data: information that is complete, trusted, clinically aligned, and available wherever important decisions are being made.
Just as operational visibility depends on understanding the work, member visibility depends on understanding the data.
A risk profile is only as valuable as the information used to create it. If the underlying data is fragmented, inconsistent, or incomplete, the resulting view of the member will be as well.
Organizations need a trusted, normalized data foundation that brings together clinical, coding, quality, utilization, pharmacy, and risk information into a single view. Only then can risk intelligence move beyond reimbursement and begin informing broader business and clinical decisions across the enterprise.
From Visibility into Work to Visibility into the Member
Last quarter, I argued that health plans need greater visibility into the work being performed across their risk adjustment programs. Organizations cannot effectively manage what they cannot see.
I would make the same argument about the member.
The plans that will gain the greatest advantage in the years ahead will not necessarily be those with the most data, but those who are able to establish a trusted, enterprise-wide understanding of a member’s health.
When every team operates from the same view of the member, organizations can make more informed decisions, coordinate interventions more effectively, and better manage the growing complexity of healthcare.
Because better decisions begin with better visibility. And better visibility begins with better data.
If operational visibility helps us understand how work is performed, member visibility helps us understand who we are serving. Success in the future will require both.
Organizations that can connect trusted data, comprehensive risk intelligence, and enterprise-wide decision making will be best positioned to improve outcomes for members while managing the growing complexity of healthcare.
If this resonates, visit our website to learn how Wolters Kluwer, Health Language helps health plans transform fragmented data into trusted, decision-ready information that supports more consistent and informed decisions across the organization.