Welcome to another episode of Care Decoded, the show where we break down the complexities of risk adjustment, documentation, and AI to power better healthcare. In today’s episode, host Dr. Sunil Nihalani is joined by Subbu Ramalingam — a seasoned former health plan executive and expert at the intersection of star ratings, risk adjustment, and healthcare quality.
Together, Sunil and Subbu dig into why star ratings aren’t just about checking boxes, but about truly improving patient care and experience. They discuss how health plans and providers can bridge the often-siloed worlds of risk adjustment and quality improvement and why accurate data and collaboration are key to better — and more meaningful — outcomes.
You’ll hear real-world examples illustrating how documentation and coding impact patient care, the latest updates on CMS risk adjustment data validation (RADV) audits, and why aligning risk and quality programs matters more than ever. Plus, Subbu shares actionable advice for healthcare leaders looking to turn mountains of data into engines for quality while keeping the patient at the center of it all.
If you’re a healthcare leader, clinician, or just passionate about making sense of the care ecosystem, this episode is packed with the insights you need to help decode the path toward better care. Let’s dive in!
Timestamps:
00:00 Data's Role in Meaningful Care
04:01 Optimizing Patient Care Experience
09:37 Risk Adjustment and Eligibility Alignment
14:00 Coordinating Care for Diabetic Members
17:48 CMS Launches Overdue RAD Audits
20:29 Enhancing Health Plan Audit Processes
22:35 Healthcare Industry Shift Forecast
27:16 Health Plan Overdocumentation Issues
31:02 Healthcare System Risk Score Management
33:38 Aligning Health KPIs and Outcomes
35:56 Chronic Care Spending Concerns
40:19 Healthcare Data Interoperability Challenges
43:18 Integrating Home Data in Care
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How Risk Adjustment, Star Ratings, and Patient Experience Drive Better Healthcare Quality
In the complex, ever-evolving world of healthcare, quality isn’t just about metrics and measures—it’s about creating meaningful outcomes for patients. In a recent episode of the Care Decoded podcast, Dr. Sunil Nihalani sat down with Subbu Ramalingam, a former health plan executive and expert in the intersection of risk adjustment, star ratings, and healthcare quality. Together, they unraveled the intricacies of these concepts and illuminated how aligning them can lead to better patient care.
Moving Beyond Metrics: Star Ratings with Meaning
Too often, healthcare professionals and organizations fixate on star ratings as a benchmark for success. But as Subbu emphasizes, “star ratings aren’t just about metrics; they’re about meaning.” This quality program is intended to ensure not only clinical excellence but also a personalized patient experience and health equity. Star ratings, especially in Medicare Advantage, are designed to reflect the actual experience and outcomes of members—not just numbers on a spreadsheet.
The challenge, as Subbu notes, lies in reframing the mindset of healthcare leaders. Instead of seeing quality metrics as bureaucratic requirements, it’s essential to remember their deeper purpose: delivering the right care, at the right time, to the right patient.
The Power of Patient Experience
Patient experience is a central theme in the star rating system. While most patients may not consider star ratings when accessing care, they certainly notice the quality of their interactions. Fast access to care, a seamless referral process, and empathetic communication are what patients truly value.
Subbu explains that every touchpoint—be it with brokers, onboarding, or ongoing communication—shapes the member’s overall experience. Importantly, these experiences contribute to customer satisfaction metrics within the star rating system, reinforcing the need for health plans and providers to focus on holistic, member-centric care.
Bridging the Gap: Risk Adjustment and Quality
A standout insight from the podcast is the artificial divide many organizations maintain between risk adjustment and quality improvement. Traditionally, risk adjustment is viewed as a revenue-capturing function, while quality is seen as outcome-driven. In reality, these two domains are deeply interconnected.
Subbu uses diabetes as an example: accurate risk adjustment documentation identifies members who need monitoring for A1C, eye exams, and kidney health, all of which are also quality measures. By integrating risk adjustment data with quality improvement initiatives, organizations can better target interventions, track outcomes, and ensure compliance.
Prospective vs. Retrospective Analytics
The conversation highlights a major industry shift from retrospective to prospective analytics. With CMS intensifying risk adjustment data validation (RADV) audits—bolstered by the recent hiring of thousands of coders—there’s a renewed emphasis on proactive, accurate documentation and timely communication between providers and payers. Health plans, in particular, must refine their processes for deleting incorrect diagnoses and integrating with electronic medical records to deliver accurate care.
Making Coding Count: Beyond Compliance
Subbu aptly summarizes: “Every code tells a story.” Treating coding as mere clerical work risks missing crucial information that impacts patient outcomes. For example, a missed diagnosis of cancer or anemia can lead to delays in care, denied referrals, and negative patient experiences.
Organizations must cultivate robust KPIs—recapture rates, submission accuracy, engagement metrics—that not only satisfy compliance but drive real improvements in quality and population health management. Leaders who invest in new technologies, data interoperability, and provider-payer collaboration will be positioned to turn data burden into a powerful quality engine.
Final Thoughts
The key takeaway from Care Decoded’s insightful conversation: sustainable healthcare quality depends on breaking down silos, leveraging data for both risk adjustment and quality, and always centering the patient in the process. By doing so, healthcare organizations can deliver not just higher star ratings, but meaningful, measurable improvements in the lives they serve.
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Subbu Ramalingham - https://www.linkedin.com/in/subburamalingam/
ATTAC Consulting Group (ACG) - https://www.attacconsulting.com/
Podcast's Website - https://caredecoded.com/
Dr. Sunil Nihalani - CEO and Founder at Inferscience - https://www.linkedin.com/in/sunil-nihalani-a6983a5/
Inferscience - https://www.inferscience.com/
Podcast Powered by TopHealth - https://tophealth.care/