AI Referral Analyzer

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Flax Health's AI Referral Analyzer accelerates revenue growth and reduces administrative overhead for post-acute care facilities. It makes admissions faster by summarizing hospital referral packets and flagging clinical and financial risks. The process is based on each facility’s custom criteria, with each insight linked to supporting evidence from the patient record. Example criteria include: Medical stability Contact isolation for infection Social or behavioral health issues (e.g. suicidality, aggression, addiction) Bariatric status Remaining benefit days under insurance (And more... all criteria are fully customizable) Flax unifies all referral portals into one simple interface, so admissions staff only need to monitor a single source. Customers have sped up average response times from 15 mins to 3 mins on average. Flax is helping reduce staffing costs and improve PDPM performance by being first to respond to the best patients.