Spotlight: Yechiel Gartenhaus @ MedFlo AI

A spotlight is a short-form interview with a leader in health tech. In this spotlight, you'll hear from Yechiel Gartenhaus, co-founder and CEO of MedFlo AI.

What does MedFlo do?

MedFlo is an AI-powered admissions and referral management platform for skilled nursing facilities and post-acute care providers.

We automate the intake of referrals from hospitals and payers, ingest and structure large volumes of clinical and administrative documents, verify insurance eligibility, and surface actionable insights that help facilities decide faster and more accurately whether to accept a patient.

The goal is to reduce manual work, eliminate delays, and help facilities improve both admission speed and reimbursement outcomes.

How did you end up working in health tech?

I came into health tech from a technical and systems-building background, but the real pull was seeing how inefficient and fragmented post-acute workflows are – especially admissions and insurance verification.

Facilities were spending enormous amounts of time manually reviewing documents, chasing information, and losing revenue simply because the process wasn’t designed for scale. That gap between operational pain and what modern software and AI can actually do is what led me to build MedFlo.

How does your role intersect with revenue cycle management (RCM)?

Admissions is the front door of revenue cycle management. If the referral intake, insurance verification, and documentation review are wrong or incomplete, everything downstream in RCM suffers – denials, delayed payments, missed reimbursement opportunities.

My role focuses on making sure the data entering the system is accurate, structured, and decision-ready so billing, MDS, and finance teams aren’t fixing problems after the fact. In that sense, MedFlo sits upstream of traditional RCM but has a direct impact on revenue performance.

What do you think RCM will look like two years from now?

RCM will be far more automated and proactive. Instead of teams reacting to denials and payment delays, AI systems will continuously validate eligibility, documentation completeness, and reimbursement risk in real time – starting at referral and continuing through the patient stay.

Manual chart review and siloed systems will shrink, and RCM will shift from a back-office function to a real-time, intelligence-driven layer that actively protects revenue as care is delivered.