Industry survey · 2026-03-10Overview
Independent survey conducted in February 2026 across 412 U.S. healthcare practice leaders (practice owners, CFOs, COOs, and revenue-cycle directors) on the operational reality of AI adoption in healthcare RCM.
Two patterns dominate: (1) AI-assisted medical coding has crossed the chasm. 71% of respondents report at least one AI-assisted coding workflow in production, up from 34% one year ago. (2) AI-driven prior authorization remains stalled, with only 18% reporting production deployment despite 76% reporting active evaluation.
The bottleneck is not technology; it is governance. 84% of respondents named PHI handling under HIPAA as a top-three concern. 71% required a signed BAA before evaluating any vendor with PHI access. 58% reported a security review delaying procurement by 90 days or more.
Key findings
- ✓71% of practices have AI-assisted coding in production; 34% one year ago.
- ✓Only 18% have production AI prior-auth despite 76% active evaluation.
- ✓Top concern: PHI handling under HIPAA (84% of respondents top-three).
- ✓Median ROI cited: 18% reduction in coder hours per claim.
- ✓Vendor-selection criteria: BAA + SOC 2 Type II non-negotiable for 81% of respondents.
What is in the report
- Workflows most commonly automated with AI today
- Workflows leadership refuses to automate
- Reported ROI of AI in billing, by tier
- Vendor-selection criteria when AI is involved
- Compliance and PHI-handling concerns by role
Methodology
412-respondent survey conducted February 2026 via independent third-party research panel (BillingPulse Research). Respondents qualified by job title (practice owner, CFO, COO, RCM director) and organization size (1-500+ providers). No Medonix customers in the sample. Margin of error ±4.8% at 95% confidence.
Citation: Medonix Research, "AI in Healthcare RCM: 2026 Adoption Survey," 2026.