HealthKey

What do they actually do

HealthKey builds software that helps clinical trial teams identify likely eligible patients from their own health records. Study staff enter a trial’s inclusion/exclusion criteria, and the system searches structured data (diagnoses, labs, medications) and relevant clinical notes to produce a ranked list for human review.

Coordinators use a dashboard to triage candidates, see why a patient was flagged, and log outreach and screening outcomes. Deployments typically begin as site-level pilots that connect to an EHR or accept secure data exports, with the goal of reducing manual chart review time and surfacing better-qualified candidates.

Who are their target customer(s)

• Clinical research coordinator (CRC): Spends many hours manually screening charts and notes, leading to slow recruitment and a backlog of outreach. Needs to cut screening time and reduce false leads to focus on real candidates.
• Site principal investigator (PI): Enrollment targets are missed because eligible patients are found late or not at all. Needs higher-quality, reliably triaged candidate lists so limited staff time goes to credible prospects.
• Hospital research operations director: Must allocate scarce coordinator and clinic time across many studies without clear pipeline visibility. Needs predictable, auditable ways to estimate and improve enrollment across sites.
• Sponsor/biotech clinical operations manager: Trials are delayed by slow site activation, variable site performance, and high screen-failure rates. Needs faster, more consistent patient identification so enrollment stays on schedule and budgets are predictable.
• Hospital IT/data-security officer: Burdened by integration, privacy, and compliance work when connecting EHRs to third-party tools. Needs minimal-effort integrations, limited data exposure, and clear audit trails for IRBs and regulators.

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

• First 10: Run hands-on pilots with 5–10 investigator sites and CRC champions, offering a short free trial, secure one-time data exports if connectors aren’t ready, and a signed BAA; measure time saved per screened patient and qualified leads, and capture testimonials to use in sales.
• First 50: Leverage early case studies to sell paid pilots to regional hospital networks, community research sites, and small CROs; use a standardized onboarding playbook with prebuilt EHR connectors and a fixed-price pilot, assign a CSM, and publish validated outcomes to convert pilots into multi-study contracts.
• First 100: Hire a small sales team and SDRs focused on sponsors, national CROs, and high-volume site groups; build channel partnerships with EHR integrators/clinical software vendors, provide procurement-ready contracts and security certifications, add a low-touch self-serve path for smaller sites, and use account managers to expand across studies at each account.

What is the rough total addressable market

Top-down context:

HealthKey sits in clinical trial enrollment and site-operations software, selling to research-active sites and to sponsors/CROs. Without verified public counts, TAM depends mainly on how many sites can be onboarded, trials per site where identification is used, and the share of sponsor budgets captured.

Bottom-up calculation:

Model TAM as Site segment = S × T × P_site plus Sponsor/CRO segment = Trials_total × P_trial, with add-ons for integrations/compliance. Illustrative scenarios from pilot to scale yield roughly ~$3–4M at pilot pricing, ~$30–40M at repeatable US scale, and ~$250M+ with broad adoption.

Assumptions:

• Integration speed and low-friction security reviews materially increase the reachable number of sites (S).
• Typical sites run multiple eligible trials annually (T ~2–4) where patient identification is valuable.
• Price points (P_site, P_trial) depend on demonstrated ROI: faster enrollment and fewer coordinator hours per enrolled patient.

Who are some of their notable competitors

• Deep 6 AI: Uses automated extraction from EHRs (including notes) to find cohorts and individual patients for trials; competes on AI-driven chart searching for site and sponsor teams (see: https://www.deep6.ai/).
• Clinerion: Provides hospital- and site-centered patient-finding across real-world EHR and de-identified data; strong for multi-site feasibility and networked searches (see: https://www.clinerion.com/).
• TriNetX: A large real-world data network for feasibility queries and population discovery; focuses on cross-site cohort estimates and RWD analytics more than coordinator-facing screening dashboards (see: https://www.trinetx.com/).
• Antidote (Antidote Tech): Focuses on matching patients to trials via patient-facing tools and digital recruitment campaigns, rather than deep EHR-integrated, site-side screening (see: https://www.antidote.me/).
• Trialbee: Offers digital recruitment and pre-screening workflows that route matched patients to sites; emphasizes online conversion and campaign management over EHR-centric matching (see: https://www.trialbee.com/).