Deep 6 AI
AI-driven clinical trial patient matching and recruitment from EMR data.
Deep 6 AI delivers a clear, measurable advantage in clinical trial recruitment. If reducing patient screening time from months to minutes matters to you, this tool is worth evaluating. Its reliance on EMR integration means hospitals with robust digital records see the most value. For organizations with primarily paper-based records or limited IT support, it may not be a fit. Compare with TrialHub for a potentially lighter-weight alternative.
Verified 5d ago · liveness 0/100 · cite: rightaichoice.com/tools/deep-6-ai
- Pharmaceutical companies running complex clinical trials
- Clinical research organizations aiming to reduce enrollment timelines
- Hospitals and health systems with extensive EMR data
- Research teams targeting hard-to-reach patient populations
- Institutions with primarily paper-based patient records
- Trials with very small patient populations and limited EMR data
- Organizations lacking dedicated clinical IT support for integration
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Skip Deep 6 AI if you don't have a robust electronic health record system, lack dedicated IT staff to manage integration, or need a low-cost, self-service trial recruitment tool.
Enterprise-level pricing with no published tiers, so you must request a quote and likely commit to a contract.
Deep 6 AI is priced for enterprise organizations with substantial clinical trial budgets. Compared to lightweight alternatives like TrialHub, it likely carries a premium due to its EMR integration depth and automation scale. If you are a small site with limited resources, cheaper or per-study options may fit better.
In short
Deep 6 AI — AI-driven clinical trial patient matching and recruitment from EMR data. Best for Pharmaceutical companies running complex clinical trials, Clinical research organizations aiming to reduce enrollment timelines, Hospitals and health systems with extensive EMR data. Contact Sales pricing.
Viability Score
How well maintained and how widely used is Deep 6 AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI-powered patient identification from EMRs
- Natural language processing on unstructured clinical notes
- Real-time eligibility screening
- Automated patient-trial matching
- Integration with clinical trial management systems (CTMS)
- Scalable cloud-based platform
- HIPAA-compliant data handling
- Customizable trial criteria input
- Patient cohort discovery
- Reporting and analytics on recruitment metrics
- Feasibility analysis automation
- Rare disease study pre-screening
- Real-time population screening
- Automated inclusion/exclusion criteria evaluation
- CTMS workflow integration
About Deep 6 AI
Deep 6 AI is an enterprise SaaS platform that uses natural language processing and machine learning to scan electronic medical records and identify patients who match clinical trial criteria. It ingests unstructured clinical notes, extracts relevant phenotypes, and returns a ranked list of eligible patients in minutes, reducing recruitment timelines from months to minutes. Features include real-time patient identification, automated eligibility screening, and automated patient-trial matching. The platform supports customizable trial criteria input, cohort discovery, and reporting/analytics on recruitment metrics. It integrates with existing EHR systems and clinical trial management systems (CTMS), fitting into established workflows. HIPAA-compliant and cloud-based, it is designed for pharmaceutical companies, CROs, and health systems with robust digital patient records. Compared to manual chart review, Deep 6 AI offers scalable, AI-driven recruitment efficiency. It competes with platforms like TrialHub, but is positioned for enterprise organizations with digital health infrastructure.
Behind the Verdict
Deep 6 AI is a strong fit for large organizations already invested in EHR systems and with dedicated IT support. Its core strength is NLP-based analysis of unstructured clinical notes, which enables faster, more accurate patient matching than manual chart review. The tool's ability to pre-screen entire populations and automate feasibility analysis is a differentiator. However, it is not a plug-and-play solution; integration with existing EHRs is required, and the platform likely requires technical expertise to configure. Pricing is not transparent, and there is no free tier or trial, which limits evaluation for smaller teams. The effectiveness depends on the quality and breadth of clinical notes in your EMR. For paper-based institutions or those with limited IT resources, it may not be practical. Compared to alternatives like TrialHub, which may offer lighter-weight solutions, Deep 6 AI is best for enterprises with scale and complex trial needs.
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Real-world workflow fit
Concrete scenarios for the personas Deep 6 AI actually fits — and what changes day-one when you adopt it.
Coordinator receives a new oncology protocol and needs to find eligible patients quickly.
Outcome: Uploads the trial criteria into Deep 6 AI, which scans the hospital's EHR in minutes and returns a ranked list of matching patients, reducing screening time from weeks to minutes.
Analyst must assess patient availability across multiple sites for a rare disease study.
Outcome: Uses Deep 6 AI's cohort discovery and feasibility tools to query all connected EMRs, generating a demographic and prevalence report that informs site selection.
Manager wants to monitor enrollment progress and identify bottlenecks across trials.
Outcome: Leverages real-time dashboards and analytics to track recruitment metrics, compare performance across sites, and adjust strategies to meet enrollment targets.
Use Cases
- Match patients from clinic EHR to cancer trial criteria within minutes
- Pre-screen a hospital's entire population for a rare disease study
- Identify eligible participants for COVID-19 trials using free-text symptoms
- Automate feasibility analysis for a sponsor launching a multi-site trial
- Reduce manual chart review time by 90% for site coordinators
Models Under the Hood
as of 2026-08-30
Limitations
Requires integration with existing EHR systems and IT support; no self-service free tier or trial; pricing is opaque and likely enterprise-level; effectiveness depends on quality and breadth of clinical notes.
as of 2026-08-28
Verification history
We have re-verified Deep 6 AI 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Deep 6 AI's pricing actually pencils out — and where peers do it cheaper.
Deep 6 AI is priced for enterprise organizations with substantial clinical trial budgets. Compared to lightweight alternatives like TrialHub, it likely carries a premium due to its EMR integration depth and automation scale. If you are a small site with limited resources, cheaper or per-study options may fit better.
Setup time & first value
How long it actually takes to get something useful out of Deep 6 AI — broken out by persona, not the marketing-page minute.
For hospitals with existing EMR integration and IT support, initial setup can take 4-8 weeks, including connecting the EHR and training the NLP on local note formats. For sponsors/CROs using the platform for feasibility, first results can be available within 1-2 weeks after credentialing and data access approval.
Integrations
Tutorials & Learning
Official links
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