Site IQ: AI-Powered Healthcare Site Selection That De-Risks CRE Investment

Developers, investors, and healthcare operators often make multi-million-dollar site decisions using incomplete signals. In this episode Mia Franklin interviews the founder of a healthcare location‑intelligence startup and a CRE investor who used the platform to underwrite a clinic portfolio. We unpack how machine learning combines claims data, patient flows, demographic and socioeconomic indicators, payer mix, referral patterns, competitive supply, and built‑environment constraints to score parcels by investability, revenue potential, and lender confidence. Listeners will learn practical workflows for converting AI site signals into lender-friendly pro formas, lease structures, and asset-based lending packages. The conversation focuses on operational steps—data needs, validation, partnership models with health systems and payers, and what investors ask for to greenlight financing. The episode closes with a replicable checklist for sponsors and lenders who want to turn location intelligence into faster closings and more predictable returns.