Choose Your Roundtable Experience

Explore the roundtable topics and plan your rotations on Thursday at 12:05pm in the Exhibit Hall

Thursday, September 3
12:05pm - 1:05pm
Exhibit Hall 

Interactive roundtables featuring the latest technologies and solutions for boosting your organization's endeavors. These speed-networking type presentations are 20 minutes long, allowing you to make your way to several roundtables per session. 

Roundtable 1: Defensible by Design: Leveraging Technology to Improve MA Coding Accuracy and RADV Readiness

  • Discuss the evolving regulatory landscape and its impact on coding and audit preparedness.
  • Share strategies for creating a culture of coding quality that prioritizes accuracy from the start.
  • Explore the role of technology in generating reliable, defensible data to support organizational confidence during RADV audits.

Roundtable 2: From Chart Retrieval to Clinical Intelligence: How an AI-Powered Repository Can Change What Payers Can Do with Charts

  • How a centralized clinical data repository — built on unstructured charts from across sources — becomes AI-ready structured intelligence: extracting diagnoses, encounters, medications, and dates of service so payers can answer questions like "do I have what I need for this member?" to minimize chart review and retrieval costs
  • How pre-built AI workflows embedded directly in a clinical data platform can automate high-volume tasks — like extracting dates of service across tens of thousands of charts or QA-ing a RADV sample against a target date list — replacing manual chart review with structured, downloadable results
  • How new AI interfaces — from conversational "Talk to Your Data" experiences to MCP-based integrations that connect clinical data directly into the tools payers already use — are redefining how clinical teams access and act on member data

Roundtable 3: Identify with Confidence. Review Once. Prove the Value.

  • Identify with Confidence: Build targeted chase lists, use confidence scoring to prioritize the charts most likely to drive value.
  • Review Once: Use a single AI-assisted review to close both Risk Adjustment and Quality measure gaps.
  • Prove the Value: Measure ROI from every chart reviewed through closed-loop analytics.

Roundtable 4: Design & Implement Industry Recommended HCC Workflows

  • Pre-Visit: Problem list cleanup, HCC validation & suspect diagnosis identification
  • Point of Care: Surface HCC diagnosis gaps & drive meaningful provider engagement
  • Pre-Bill: Conduct targeted OIG diagnosis reviews to support accurate & compliant submissions

Roundtable 5: Brand new Tools in HCC Coder

  • Can you/should you use ai in Risk Coding?
  • How much CDI is enough CDI?
  • Is AHA Coding Clinic the definitive resource for Risk Coding?

Roundtable 6: From “In Network” to “Right for Me”: Building a Member-Forward Find-Care Experience

  • Why network status and basic taxonomy alone are not sufficient to confidently guide a member to care.
  • How provider expertise, location accuracy, accepting-new-patients indicators, cost and quality, demographics, and facility affiliations improve matching.
  • How health plans and digital health partners can use the same provider-data foundation across directories, navigation tools, referrals, and member services.

Roundtable 7: One Partner. One Strategy. Confident Compliance.

  • How an integrated vendor partnership connects risk adjustment and quality data--from medical record retrieval and coding to in-home assessments and beyond with continuity of care
  • Improve plan performance with one accountable partner, connecting clinical, operational and financial outcomes
  • How a strategic partner can support plans in their preparation for regulatory change, not simply react to it

Roundtable 8: Empowering Whole-Person Health with Verisma Retrieval IQ™: Transforming Value-Based Care through Smarter Data Retrieval and Provider Collaboration

  • Identify key strategies for supporting whole-person health within the Value-Based Care model with Verisma Retrieval IQ™, emphasizing the importance of provider collaboration and robust data collection.
  • Evaluate advanced database technologies and their impact on smarter, more efficient patient medical record retrieval for risk adjustment, quality improvement, continuity-of-care, and referral management.
  • Demonstrate how effective data sharing among providers and health plans can optimize outcomes, reduce hospitalizations, and improve overall patient care.

Roundtable 9: AI Can Scale. But Can It Defend? The New Hybrid Intelligence Risk Adjustment Operating Model

  • AI on the Frontlines: How automation speeds coding and where blind spots could trigger audit exposure
  • Humans in the Driver’s Seat: Why certified coders remain the ultimate risk control in risk adjustment
  • ROI That Counts: What success looks like beyond productivity, including compliance confidence, RAF stability, and operational predictability

Roundtable 10: AI in Action: Transforming Records Release

  • From Manual Intake to Intelligent Automation: See how AI can read incoming records requests, check compliance requirements, log request details, and create work orders in seconds.
  • Reducing Request Processing Time by 91%: Learn how Sherpas decreased average intake time from 5.5 minutes to approximately 30 seconds - nearly 11 times faster per request.
  • Achieving Measurable ROI at Scale: Discover how AI-powered intake can save approximately 180 staff hours per month at 100 requests per day, freeing teams to focus on fulfillment and complex cases.

Roundtable 11: From Multiple Passes to One Defensible Review: Rethinking Risk Adjustment Coding

  • The Hidden Cost of Multi-Vendor Review: Uncover where routing the same chart through multiple vendors quietly drains a risk adjustment program, driving up cost per chart, extending submission timelines, and adding coordination overhead that never appears on a single invoice, and see what a one-pass coding workflow changes about that math.
  • Building Audit Defensibility at Ingestion: Discover what makes a chart defensible before an audit notice arrives, with every diagnosis linked to MEAT-backed clinical evidence on the first pass and attached at submission, rather than reconstructed after a RADV notice lands.
  • Demystifying Neuro-Symbolic AI: Learn how deep learning and a symbolic reasoning layer work together, checking each diagnosis against coding logic and MEAT criteria, so reviewers see why a code was recommended and not only that it was, which is what makes a one-pass review possible.

Roundtable 12: Closing the Post-Discharge Gap: Using Transitional Care Management to Reduce Readmissions and Improve Quality Outcomes

  • Understand the critical elements of an effective TCM/PCR strategy: Learn how timely identification of hospital discharges, outreach within 2 business days, medication reconciliation, and clinical follow-up within 7–14 days create a closed-loop transition from hospital to outpatient care.
  • Connect TCM interventions to measurable quality outcomes: Explore how a well-designed post-discharge program can support the HEDIS Transitions of Care (TRC) measure while addressing potentially preventable 30-day readmissions and improving overall care continuity.
  • Identify strategies to operationalize TCM at scale: Discuss how real-time ADT data, risk stratification, omnichannel member engagement, telehealth, in-home care, and coordination with PCPs can overcome common barriers—including fragmented data, limited provider capacity, and rural access.

Roundtable 13: TBA

Roundtable 14: Unlocking RxHCC Revenue: How MAPDs and PDPs Are Capturing $20 PMPM through CuraFi

  • The Inflation Reduction Act has drastically shifted drug risk from CMS to the plans/RBOs
  • This has increased the importance of capturing RxHCC ($30 → $200+)
  • CuraFi has created solutions that tackle RxHCC capture ($20 PMPM) with zero change to provider workflows

Roundtable 15: Building AI and Data Harnesses for Performance, Revenue, Operations, Compliance, & Infrastructure

  • Description: Join us for a roundtable discussion where we will share how to build AI and data harnesses for optimal performance, revenue, operations, compliance, and infrastructure. We’ll focus on how to:
  • Architect an Enterprise AI & Data Harness. Unify legacy data silos into a scalable, real-time architecture built on joint ownership across IT, Risk Adjustment, Operations, and Compliance—moving from fragmented AI experiments to an enterprise-wide data foundation.
  • Integrate directly into Workflows with Embedded Compliance. Feed clean, structured data directly into EHRs and operational tools to drive risk score accuracy, Stars performance, and prior authorization efficiency, while engineering human-in-the-loop review protocols and automated audit trails from day one to mitigate RADV and regulatory risks.

Roundtable 16: Trustworthy AI at Scale: Building a Trusted AI & Analytics Foundation for Healthcare Transformation

  • Modernize Your Healthcare AI Strategy - Learn how leading healthcare organizations are moving beyond fragmented point solutions to a trusted platform for data, analytics, AI, and decisioning that supports multiple business and clinical use cases.
  • Build Trust Through Data, Governance, and Transparency - Discover how trusted data, interoperability, entity resolution, and AI governance create a foundation for more confident decisions, explainable outcomes, and responsible innovation at scale.
  • See Trusted AI in Action - Experience a live demonstration of how healthcare organizations are using governed AI, predictive analytics, and agentic workflows to identify rising-risk members earlier, prioritize interventions, and improve outcomes with confidence.