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mdhub

AI workers for healthcare clinics, starting with mental health

Summer 2024active2024Website
Machine LearningDigital HealthHealthcareAI
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Report from 29 days ago

What do they actually do

mdhub sells AI assistants for behavioral health practices. Its core product records therapy/psychiatry sessions via a browser or mobile app and turns them into structured clinical notes, suggested treatment plans, patient instructions, and draft billing codes (ICD‑10/CPT). Clinicians can also dictate post‑session, use customizable templates and questionnaires, and then review/edit and export notes into their EHR or portal (product page, homepage).

The company also offers an AI “Admissions Coordinator” that answers calls and messages 24/7, captures intake details (demographics, screening), verifies insurance eligibility, books/reschedules appointments, handles refill requests, and pushes the data into clinic workflows (YC profile, homepage). mdhub markets individual plans (Free/Lite/Pro) and custom clinic plans with admin controls and integration options (product/pricing). The company reports handling over 1 million patient sessions and adoption by hundreds of clinics/thousands of clinicians (YC profile, homepage).

Who are their target customer(s)

  • Solo mental‑health clinician (therapist or psychiatrist): Spends many non‑clinical hours writing notes, drafting treatment plans, and matching billing codes, which cuts into patient time and pushes work after hours. Needs faster, consistent documentation and coding support (product).
  • Owner/manager of a small multi‑provider clinic: Loses revenue to missed calls and slow intakes; manual scheduling and lack of a central admin view create bottlenecks. Needs reliable intake capture, triage and booking automation (homepage, YC profile).
  • Front‑desk/reception team: Overwhelmed by repetitive tasks (calls, reschedules, refills) and after‑hours messages, leading to slow response times and burnout. Needs an always‑on intake/scheduling agent (YC profile).
  • Billing/coding specialist or practice administrator: Inconsistent documentation and manual coding cause denials and rework. Needs cleaner notes and suggested codes to speed billing and reduce errors (product).
  • Behavioral‑health networks or multi‑site clinics: Struggle to scale operations, standardize workflows, and integrate tools with existing EHRs without adding headcount. Needs admin controls, analytics, and integrations (product, YC profile).

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

  • First 10: Founder‑led pilots with solo clinicians and small clinics: hands‑on demos, set up the recorder and Admissions Coordinator, and concierge note template customization until workflows are stable; leverage YC intros and direct outreach (product, YC profile).
  • First 50: Turn early users into case studies and referral sources; run webinars and targeted outreach to provider groups/social channels; drive self‑serve signups for Lite/Pro while offering quick clinic pilot bundles (product).
  • First 100: Hire an AE/CS duo to standardize clinic pilots into a repeatable package; list on select EHR/scheduling marketplaces to capture inbound; use aggregated metrics from first cohorts to close multi‑provider practices (YC profile, product).

What is the rough total addressable market

Top-down context:

The U.S. behavioral health market is projected to be ~$92B in 2025, growing to ~$132B by 2032 (Fortune Business Insights). Within clinical documentation, ambient AI scribes generated an estimated $600M in 2025 revenue across healthcare, indicating a large and growing category even before specialty‑specific tools (Menlo Ventures).

Bottom-up calculation:

Provider‑side documentation: America’s Health Rankings reports ~325 mental health providers per 100k population in 2023 (~1.08M providers nationwide), covering psychiatrists, psychologists, LCSWs, counselors, MFTs, and MH‑focused APRNs (AHR). At $600–$1,200 per user/year for AI documentation, that yields ~$0.65B–$1.3B TAM. Front‑office intake: there were ~11,647 U.S. mental health treatment facilities in 2022; if outpatient facilities pay ~$6k–$12k/year for an AI intake/scheduling agent, that adds roughly ~$70M–$140M (Statista). Combined U.S. behavioral‑health TAM for mdhub’s current wedges is roughly ~$0.7B–$1.4B.

Assumptions:

  • U.S.-only scope; counts based on America’s Health Rankings per‑100k provider metric and 2022 facility counts.
  • Annual pricing bands assumed at $600–$1,200 per clinician for documentation and $6k–$12k per facility for intake automation.
  • Not all listed providers/facilities are in scope (e.g., inpatient), but the range is intended to bound the addressable opportunity; actual SAM will be smaller due to EHR fit and practice type mix.

Who are some of their notable competitors

  • Suki: Ambient clinical assistant that drafts specialty‑specific notes, suggests ICD‑10/CPT codes, and integrates with EHRs—overlaps heavily on automated documentation and coding (Suki).
  • Robin Healthcare: In‑room ambient scribe with hardware + human QA to produce notes and billable codes, integrated with major EMRs; a different capture model competing on accuracy/workflow (Robin).
  • Notable Health: Automation/AI‑agents platform for intake, scheduling, and patient access that reads/writes to EHRs; competes with mdhub’s Admissions Coordinator on front‑office automation (Notable).
  • Dragon Medical One (Nuance/Microsoft): Widely adopted clinical speech recognition and voice workflow tool used for dictation/templates across EHRs; competes on core speech‑to‑text and clinician dictation (Microsoft/Nuance).
  • TherapyNotes: Mental‑health‑focused EHR with scheduling, notes, billing, and client portals; increasingly bundles AI note helpers, making a separate scribe/intake tool optional for many practices (TherapyNotes).