AI Governance in RCM: What Black Book’s 2026 Data Says
Black Book’s 2026 RCM survey found 63% of hospitals demand auditable AI—and 69% require human oversight before AI takes any coding or appeal action.
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Mayo-Microsoft Healthcare AI Model: What Coders Must Know
Mayo Clinic and Microsoft are building a frontier AI model for healthcare—trained on de-identified clinical data. Here’s what medical coders need to understand about this shift.
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AI Denial Prevention: How FinThrive Is Shifting RCM Strategy
FinThrive’s Denials Prevention Manager — showcased at HFMA 2026 — signals a major shift from chasing appeals to stopping denials before they start.
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How Agentic AI Writes Denial Appeal Letters That Win
AI-powered agents draft denial appeal letters that cite clinical evidence and map to payer policy — winning more reversals faster.
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Carlyle’s AI-Native RCM Deal: What Medical Coders Need to Know
Carlyle’s acquisition of Knack RCM and EqualizeRCM signals a major shift toward agentic AI in revenue cycle management.
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CPT 2026 AI Codes: What Medical Coders Need to Know
AMA’s CPT 2026 set introduced Category I codes for AI-augmented services. Here’s what coders need to know about 75577 and the new billing landscape.
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The Wrapper Problem: Why Medical Coding AI Needs Its Own Language Model
Most medical coding AI is just a general LLM with clever prompts — and that’s the problem. Here’s what purpose-built RCM models do differently.
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Coding as Reasoning: What Corti’s Symphony Reveals About AI Architecture
A new system from Corti makes the distinction between classification and reasoning the center of its architecture — and the benchmark results are hard to ignore.
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