R1Phare Playbook
Phare Audit

Sessions & takeaways

Recordings and the key takeaways from each session.

View presentation slides
Wednesday, Oct 21

Home Game Advantage: Phare Audit

Led by Ian

Master the Audit story: customer problem, value proposition, differentiation and proof

Key takeaways

  • The ceiling of general AI: General LLMs hit about 33% accuracy on clinical coding. Phare's purpose-built models reach about 88% on inpatient.
  • A purpose-built, RCM-native AI engine is needed to solve complex coding: The clinical reasoning engine reads the complete EHR, checks the latest guidelines, and builds an accurate code list with a full evidence trail.
  • Built for the AI era: Phare is a post-2022, AI-native platform: 25 specialized LLMs, one engine for every use case, and none of the technical debt legacy vendors carry.
  • DRG-V to Phare Audit: Audit reads the full clinical record plus financial data, runs pre-bill, and finds 3–6% of cases versus about 0.9%, with the same 95% acceptance.
  • Utilizing the Phare platform expands the review clinically: Phare's findings are 50% principal diagnosis and 45% secondary diagnosis. DRG-V's are 68% procedural.
  • Human auditors + AI intelligence: AI scans 100% of encounters and AHIMA-certified auditors validate the findings. The result is a 95% case agreement rate, so the customer's team sees only high-quality findings.
  • A minimum 3–5x ROI: A fine-tuned model in 14 days, ROI realized within 30 days of go-live.
Wednesday, Oct 21

Film Room: Audit Pitch Dissection

Led by Ian & Shanti

Watch and break down an Audit pitch—what to land, how to tell the story and the moves worth borrowing

Key takeaways

  • Explain the engine in three steps: read the full EHR, check it against current guidelines, and build an evidence-backed code list.
  • Take every chance to differentiate on the blended model: AI flags the gaps, R1 validates them, and the client approves. That drives 95% agreement versus 40–50% elsewhere.
  • Position against competitors with Phare's modular, full-record approach, tied to financial, quality and denial-prevention value.
  • Make the value concrete with the client's own numbers (for example, 140K discharges × $200 ≈ $28M), with a low IT lift and ROI within a month.
  • Run discovery before the demo, and answer critiques by acknowledging them, reframing, then answering.