Flax Health

What Flax Health does

Flax Health streamlines revenue-critical workflows for skilled nursing facilities. Our AI extracts insights from clinical records to support three key areas: referral processing, patient intake, and claims appeals. We help admissions teams analyze hospital discharge packets to identify high-value patients, pre-fill large portions of the MDS form to speed up intake, and auto-generate appeals when claims are denied—using clinical documentation to justify coding and treatment. Flax Health was founded by Trent Hazy and David Kartchner, experts in workflow automation and clinical artificial intelligence, with a mission to reduce administrative load in healthcare so clinicians and operators can focus on delivering high-quality care.

Key capabilities

• Summarizes referrals and assesses them against facility criteria
• Populates the MDS form using patient referrals
• Extracts PDPM-driving information
• Auto-generates appeals using evidence from clinical notes
• Pulls directly from portals for referral details
• Flags patient fit for facility
• Substantiates claims with clinical evidence

Use cases

• Referral processing
• Patient intake
• Claims appeals
• Analyzing hospital discharge packets
• Pre-filling MDS forms
• Auto-generating appeals for denied claims
• Responding faster to referrals
• Reducing ADRs (Additional Documentation Requests) and appeal times
• Improving facility star rating
• Ensuring right patient fit at admissions
• Surfacing risks upfront for proactive care
• Accurate and compliant intake documentation

AI approach

Flax Health uses AI to extract insights from clinical records to automate revenue-critical workflows for skilled nursing facilities. This includes summarizing referrals, assessing them against criteria, populating MDS forms, and auto-generating appeals for denied claims using clinical documentation.

Tech named: clinical data extraction, large language models

Industries served

• Skilled Nursing Facilities

What it says sets it apart

• Focus on skilled nursing, an underserved sector
• AI extracts insights from clinical records
• Automates profit-driving paperwork from referral to appeal
• Reduces staff burnout by processing lengthy paperwork
• Automates draft appeals with compliant documentation
• Delights case managers by responding to referrals in 2 minutes
• Saves nursing teams countless hours by populating MDS forms
• Ensures facilities get paid what they deserve by capturing full complexity of care
• Improves facility star rating through automation
• Reduces deficiencies, citations, and audit issues through accurate intake documentation
• Team has deep professional and academic expertise in workflow automation and applying AI to clinical data

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.