Moonset Health

What do they actually do

Moonset Health makes an AI “digital scribe” for post‑acute senior care. Clinicians record a visit or IDG meeting on their phone or computer, and Moonset transcribes the audio, drafts a clinical‑grade note in about 5–10 minutes, and runs eligibility/compliance checks built from CMS rules to flag missing elements or audit risks. Notes can be reviewed/edited in Moonset and pushed or QA’d against the organization’s EHR; it’s designed to work alongside any EHR. The company offers a mobile app so field staff can capture visits and finish charting on the go (site/FAQ, homepage, Android app).

They sell B2B to hospice and other post‑acute providers, onboarding with IT and frontline training. The company is HIPAA‑compliant, is pursuing SOC 2 Type II, and maintains a live trust portal. Public claims include “clinical‑grade notes in 5–10 minutes” and early users saving “up to 3 hours a day” in pilots (FAQ, YC page, jobs). Near‑term, they’re broadening coverage of common hospice/post‑acute documentation (routine visits, cert/recert, IDG) and deepening automation (form filling, EHR QA, audit prep), with plans to expand beyond RNs to social workers, chaplains, and therapists (FAQ).

Who are their target customer(s)

• Hospice field nurses (RNs) doing home visits: They spend large parts of the day charting and need a faster, phone‑based way to turn a visit into a usable clinical note without extra EHR edits.
• Clinical managers / directors of nursing at hospice or post‑acute orgs: They need consistent, audit‑ready documentation across clinicians and want to reduce time lost to manual charting and corrections.
• Compliance and quality officers: They must ensure CMS eligibility, recert items, and regulatory completeness; manual chart reviews are slow and can miss audit risks.
• Case managers and IDG participants (social work, therapy, chaplaincy): They need clear, discipline‑specific notes from long IDG meetings but often lack time or templates to produce them reliably.
• Small hospice/home‑health operator or IT lead: They have limited IT resources and need an EHR‑compatible, HIPAA/SOC2‑aligned rollout without custom engineering.

How would they acquire their first 10, 50, and 100 customers

• First 10: Run paid pilots with 2–3 nearby hospice providers, do hands‑on demos and onboarding with IT and frontline staff, and turn feedback into product improvements and 2–3 measurable case studies (time saved, notes in minutes).
• First 50: Expand regionally via referrals from pilot sites; target clinical leaders with ROI‑focused outreach and demos; present at industry meetings with evidence on CMS compliance checks and charting time reduction.
• First 100: Close regional chains using repeatable EHR connectors and SOC 2 evidence to speed procurement; add enterprise sales/CS for multi‑site rollouts; pursue partnerships/channels with hospice software vendors.

What is the rough total addressable market

Top-down context:

The U.S. has roughly 5,200–5,358 hospice agencies and about 1.5M hospice patients annually, plus ~11.3K Medicare‑participating home health agencies and ~14.8K certified nursing facilities—large, documentation‑heavy segments tied to CMS rules (CDC FastStats, NHPCO Facts & Figures 2024, MedPAC 2024, Statista on SNFs 2024).

Bottom-up calculation:

Assume seat‑based pricing for documentation users at $120/month. Hospice: ~5,300 agencies × 30 clinical users/agency × $120 × 12 ≈ $229M. Home Health: 11,353 HHAs × 20 users × $120 × 12 ≈ $327M (MedPAC 2024). Skilled Nursing: 14,827 SNFs × 10 users × $120 × 12 ≈ $214M (Statista 2024). Combined U.S. TAM ≈ $770M annually.

Assumptions:

• U.S. market only; pricing averages $120 per active documentation user per month.
• Average active users per org: hospice 30, home health 20, SNF 10 (nurses, case managers, social workers, therapy, chaplaincy).
• Adoption focused on documentation‑heavy roles; excludes physicians and back‑office seats.

Who are some of their notable competitors

• Abridge: Enterprise ambient scribe that turns clinician–patient conversations into draft notes with audio‑linked evidence and deep Epic integrations; strong fit for large health systems, overlaps on audio capture, EHR write‑back and auditability.
• Suki: Voice‑first clinical assistant offering ambient notes, dictation, and EHR‑synced documentation across many specialties; broad EHR partnerships and voice UI features rather than hospice‑specific compliance checks.
• Notable Health: AI automation platform with an ambient scribe plus no‑code workflow automation for intake, auths, and RCM; overlaps on note generation/EHR actions but focuses on system‑wide operational automation, not hospice‑tuned compliance.
• Dragon Medical One (Nuance/Microsoft): Established clinical speech recognition/dictation used to enter notes into EHRs; overlaps on speech‑to‑text and integration but is not an ambient hospice‑specific scribe with eligibility/audit checks.
• Augmedix: Hybrid ambient documentation with options from self‑service AI to full human scribes; overlaps on visit capture/note generation/EHR push but differentiates with human‑in‑the‑loop services and scale rather than a hospice‑focused compliance engine.