Data to Debt: Monetizing EMR Signals to Create Financeable Working Capital for Clinics

Many clinics sit on a hidden asset: structured signals inside electronic medical records (EMR) that reveal appointment reliability, treatment mix, payer mix shifts, receivable aging, and predictable ancillary revenue. In this episode Mia Franklin interviews a founder and a lender who built an AI pipeline that extracts, standardizes, and scores EMR operational signals so operators can present financeable, repeatable cashflow models to revenue-based lenders and asset-backed capital providers. We unpack the data pipeline, what signals matter to underwriters, how models map to deal structures (revenue-based financing, short-term working capital, or stretch ABL), and a practical 90-day playbook clinics can follow. Listeners will get concrete questions to ask vendors, a checklist for data readiness, and guardrails for privacy and compliance. Practical, actionable, and designed for busy operators and investors looking to convert hidden operational intelligence into predictable capital.