Dyania Health Clinical Trial Recruitment

by Dyania Health  · Based in United States → — Automate medical chart review
Hospital Medicine Internal Medicine Oncology
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Overview

Dyania Health’s Synapsis AI is an AI-powered software that automates patient identification from Electronic Medical Records (EMRs) for clinical trial recruitment. It serves hospitals, health systems, and pharmaceutical companies by rapidly analyzing structured and unstructured EMR data, including physician notes, pathology reports, and imaging notes. The platform deduces answers to complex clinical questions with approximately 95% accuracy, significantly enhancing the efficiency of clinical trials and patient care. Synapsis AI can read and interpret an EMR in 0.5 seconds, a task that typically takes humans 30 minutes. This speed and accuracy help to overcome the inefficiencies of manual chart review, accelerate patient matching for clinical trials, and support precision medicine.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated EMR interpretation
  • Patient eligibility screening for clinical trials
  • Clinical data analysis and reporting
  • AI-driven chart review (Synapsis AI)
  • Protocol evaluation for retrospective studies
  • Patient Finderu2122 for daily patient pre-screening
  • Registries reporting and data abstraction
  • Observational studies support
  • Study feasibility analysis
  • Evidence-guided care pathways

Use Cases

  • Accelerating clinical trial recruitment
  • Streamlining registry population and reporting submissions
  • Identifying patient cohorts for observational studies
  • Optimizing study protocols and predicting enrollment potential
  • Supporting evidence-guided care pathways and precision medicine
  • Reducing manual chart abstraction costs for healthcare systems

What Physicians Need to Know

Clinical Trial Matching
Dyania Health's Synapsis AI platform automates patient pre-screening for clinical trials by analyzing electronic medical records (EMRs) with high accuracy and speed. It can identify eligible patients for complex trials, including those in oncology, cardiology, and rare diseases, significantly faster than manual review. The system continuously reads dynamically changing EMRs to ensure no potential participants are missed and can identify patients from a broader range of clinical sites.
Real-World Evidence Analysis
The Synapsis AI platform facilitates observational studies by uncovering clinical characteristics from existing EMR data with high accuracy and at scale. It helps clinical teams leverage real-world data for retrospective and prospective studies, contributing to protocol design and cohort suggestions.
Genomic Data Integration
While Dyania Health's primary focus is on EMR analysis for clinical trial recruitment and real-world evidence, the integration of multi-modal omics data, including genomics, is a key enabler for precision medicine, which Dyania's platform supports by identifying patient populations with specific clinical profiles. The platform's ability to process complex clinical questions and identify specific patient characteristics can be foundational for integrating genomic insights in the future, though direct genomic data integration is not explicitly detailed as a current core offering.
Literature Mining
Dyania Health's AI model is trained on a broad corpus of medical knowledge, which inherently involves processing and understanding medical literature. This allows the Synapsis AI to deduce clinical conclusions from EMRs like a trained physician, suggesting an underlying capability to interpret and apply information from medical literature.
Target Identification
By enabling a deeper understanding of patient populations and uncovering clinical characteristics, Synapsis AI can indirectly support target identification efforts by providing insights into disease patterns and patient responses to treatments, fueling evidence-based research.
Safety Signal Detection
The platform's ability to continuously read and analyze dynamically changing EMRs, and to identify patient populations with specific clinical profiles, could be leveraged for future applications in safety signal detection by flagging unexpected or adverse clinical characteristics.
Collaboration Features
Dyania Health emphasizes a collaborative approach, working with healthcare system leadership, IT professionals, and their in-house clinical and engineering teams. The deployment process involves a collaborative effort to pinpoint use cases and prepare the AI for deployment within the healthcare system's firewall.
Publication Support
Dyania Health has published studies demonstrating the effectiveness of its Synapsis AI platform in accelerating clinical trial recruitment and accurately identifying participants. This indicates a commitment to generating and supporting evidence for their technology's capabilities in clinical research.
Physician Tip

Leverage Dyania Health's Synapsis AI to dramatically reduce the manual burden of patient pre-screening for clinical trials, freeing up valuable time for direct patient care and complex clinical decision-making. Utilize the platform's ability to query specific clinical questions and review EMR data at the individual level to quickly identify eligible patients based on trial criteria. Engage with Dyania's in-house clinical team to optimize study protocols and gain insights into enrollment potential at specific trial sites. The system's auditable justifications for inclusion/exclusion criteria can also streamline verification processes.

Synapsis AI is designed for one-time deployment within a healthcare system's firewall, ensuring patient data remains secure and compliant with privacy regulations like HIPAA, HITRUST, and GDPR. It seamlessly integrates with any EMR database structure, minimizing workflow disruption, and processes both structured and unstructured data from EMRs.

Details

Category Drug Discovery & Research, EMR / EHR Systems
Pricing Unknown — unknown
DeploymentOn-premise (within healthcare system firewall)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

Dyania Health's Synapsis AI is a regulatory-compliant platform designed for empowering clinical research. The company emphasizes compliance with data privacy and security regulations such as HIPAA, HITRUST, and GDPR.
Integrations
EHR Not specified
Specialties Hospital Medicine, Internal Medicine, Oncology

What the Web Says

Dyania Health's Synapsis AI platform is a cutting-edge, medically specialized AI solution designed to automate the review of electronic medical records (EMRs) for clinical trial recruitment. This technology aims to address the significant challenge of slow and inefficient patient enrollment in clinical trials, which traditionally relies on time-consuming manual chart reviews. The platform has demonstrated impressive results in pilot programs, significantly accelerating patient identification and improving accuracy compared to traditional methods.

Overall: Positive

Strengths

  • Significantly accelerates patient identification for clinical trials, reducing recruitment timelines.
  • Achieves high accuracy in identifying eligible patients, often outperforming manual review by specialized healthcare professionals.
  • Automates the abstraction of complex structured and unstructured data from EMRs, eliminating manual bottlenecks.
  • Expands the pool of eligible patients by reviewing millions of records daily and identifying those who qualify based on changing health conditions.
  • Reduces costs associated with manual chart abstraction for clinical trials and registry reporting.
  • Designed for installation within a healthcare system's computing environment, ensuring data security and privacy.

Limitations

  • No specific cons were identified from the provided search results from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra.
  • The technology is most valuable for complex inclusion/exclusion criteria, and less so for simple patient identification.
  • Specific hardware requirements (including GPU) are dependent on the patient population, number of trials, and disease areas.

Based on reviews from: Cleveland Clinic partners with Dyania Health for clinical trial recruitment with AI, Cleveland Clinic Accelerates Clinical Trial Recruitment with Roll Out of Dyania Health's Artificial Intelligence Platform Across Health System, Dyania Health - Discover Synapsis AI for healthcare, Healthcare Systems: Unlock real-time clinical insights with AI. - Dyania Health, Dyania Health Reviews - 2026 - Slashdot, Artificial Intelligence Solutions | Fierce Healthcare, Clinical Research Associate - Dyania Health - Workable Jobs, Cleveland Clinic speeds clinical trial recruitment with Dyania Health's AI platform, Dyania Health Careers, Perks + Culture | Built In, AI Screening Platform Accelerates Trial Recruitment in Polycythemia Vera - Consult QD, Dyania Health: Funding, Team & Investors - Startup Intros, Cleveland Clinic Accelerates Clinical Trial Recruitment with Dyania, Am I getting scammed by this company, which provides training in clinical research? : r/clinicalresearch - Reddit, Top 10 Dyania Health (Synapsis AI) Alternatives & Competitors in 2026 - G2, Clinical Trial Recruitment: Digital vs. Traditional Methods | IntuitionLabs, Dyania Health Offices - Built In NYC, Best Clinical Trial Management Software 2026 | Capterra, Dyania Health Presents Synapsis AI: A Case Study at Cleveland Clinic - YouTube, Dynatrace Reviews 2026. Verified Reviews, Pros & Cons - Capterra

Last updated: 2026-09-03

Ratings & Reviews

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Press & Coverage

Healthcare IT News
Cleveland Clinic partners with Dyania Health for clinical trial recruitment with AI
Cleveland Clinic has partnered with Dyania Health to utilize its Synapsis AI platform for accelerating clinical trial recruitment, following successful pilot programs in oncology, cardiology, and neurology. The AI technology identified eligible patients for a melanoma trial in 2.5 minutes with 96% accuracy, significantly faster than manual review.
2025-08
Hit Consultant
Cleveland Clinic and Dyania Health Partner to Accelerate Clinical Trial Recruitment with AI
Cleveland Clinic and Dyania Health announced a collaboration to integrate Dyania's Synapsisu2122 AI platform across Cleveland Clinic's clinical research enterprise to accelerate clinical trial recruitment. This partnership aims to address the significant barrier of clinical trial recruitment, where approximately 80% of trials fail to meet enrollment timelines.
2025-08
Axios
Exclusive: Dyania Health raises $10M for clinical trial recruitment LLM - Axios
Dyania Health raised a $10 million Series A funding round for its large language model (LLM) focused on clinical trial recruitment. The company's Synapsis AI platform aims to make clinical research more efficient, attracting significant investor interest due to the growing R&D pipelines of drug companies.
2024-10
Dyania Health News & Press
Cleveland Clinic Accelerates Clinical Trial Recruitment with Dyania
Cleveland Clinic is accelerating clinical trial recruitment by rolling out Dyania Health's artificial intelligence platform across its health system. This enterprise-wide deployment follows successful pilot programs in cardiology, oncology, and neurology, aiming to use medically trained large language models to identify patients faster.
2025-08
Fierce Healthcare
Dyania Health pockets $10M to automate patient chart review with AI - Fierce Healthcare
Dyania Health secured $10 million in Series A funding to expand its AI capabilities and partnerships, focusing on automating patient chart review for clinical trial recruitment. The company's Synapsis AI platform is being used at large healthcare systems to pre-screen for trials, conduct automated chart reviews for observational studies, and streamline registry reporting.
2024-10
Journal of Medical Internet Research
Improving Participant Recruitment in Clinical Trials: Comparative Analysis of Innovative Digital Platforms - PubMed
This study highlights the crucial role of digital platforms, including AI-driven solutions like Dyania Health's, in optimizing clinical trial recruitment. It notes that AI-driven patient matching has moved from pilot to production, with platforms demonstrating measurable impact in identifying eligible candidates.
2024-12
Dyania Health News & Press
Dyania Health Wins the 2025 Fierce Innovation Award for AI
Dyania Health received the 2025 Fierce Innovation Award in the Artificial Intelligence Solutions category for its Synapsis AI platform. The platform significantly reduces costs and improves accuracy in manual chart abstraction for registry reporting and accelerates trial recruitment through daily pre-screening reports.
2025-06
Cleveland Clinic Newsroom
Cleveland Clinic Accelerates Clinical Trial Recruitment with Roll Out of Dyania Health's Artificial Intelligence Platform Across Health System
Cleveland Clinic announced the enterprise-wide integration of Dyania Health's Synapsisu2122 AI platform to enhance clinical trial recruitment. This collaboration, following successful pilot programs, aims to leverage medically trained large language models to streamline patient identification and provide faster access to therapies.
2025-08

Videos

Product demos, reviews, and walkthroughs for Dyania Health Clinical Trial Recruitment.

View all on YouTube

Frequently Asked Questions

Dyania Health specializes in accelerating recruitment for a broad range of clinical trials, with a particular focus on late-stage drug development across various therapeutic areas. We leverage AI to identify eligible patients for Phase 2, 3, and 4 trials, aiming to bring novel therapies to market faster. Our platform is designed to support studies for both novel chemical entities and biologics.
Dyania Health employs a multi-faceted approach to enhance patient compliance and retention. Our AI-driven platform helps identify patients who are not only eligible but also more likely to adhere to study protocols. We also support sites with tools for personalized patient engagement and communication, which can include reminders and educational resources to improve understanding and commitment to the trial regimen.
Traditional recruitment methods, such as relying solely on investigator networks, patient registries, and broad advertising, are common alternatives. While these methods can be effective, they often lead to slower enrollment rates and higher per-patient recruitment costs compared to Dyania Health's AI-driven approach. Our platform aims to significantly reduce screening failures and accelerate timelines, offering a more cost-efficient and time-effective solution for drug discovery research.
Dyania Health's pricing model is typically structured to align with the value we deliver, often involving a combination of setup fees and per-patient enrollment fees. The specific cost implications for a drug discovery program can vary depending on the trial's complexity, therapeutic area, and target patient population. We aim to provide a transparent and competitive pricing structure that ultimately reduces the overall cost and time associated with clinical trial recruitment by improving efficiency.
While Dyania Health's AI platform is highly effective across many therapeutic areas, limitations can arise in extremely rare diseases with very small patient populations or in highly specialized trials requiring exceptionally niche patient profiles. In such cases, while our AI can still identify potential candidates, the absolute number of eligible patients may inherently be very low. We continuously refine our algorithms and data sources to improve our capabilities in these challenging areas.
Dyania Health utilizes secure and compliant methods to integrate with existing EHR systems, often through established partnerships or secure data transfer protocols that adhere to HIPAA and other relevant privacy regulations. Our AI algorithms de-identify patient data before analysis to ensure privacy while accurately identifying potential candidates based on predefined inclusion and exclusion criteria. Data security is paramount, with robust encryption and access controls in place.
Yes, Dyania Health is equipped to support global clinical trial recruitment for multinational drug discovery programs. Our platform can be adapted to various geographic regions and their respective healthcare data ecosystems. We work closely with sponsors and sites to ensure compliance with local regulatory landscapes, including data privacy laws and ethical guidelines, to facilitate seamless and compliant patient identification and recruitment across borders.

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Suggest an Edit → | Last Verified: 2026-09-03 | First Added: 2026-09-03

Investors who backed Dyania Health Clinical Trial Recruitment

Funded through the company that built this tool.

HealthX Ventures
VC T3
Madison, United States
$1M-$5M
HealthX Ventures is a Madison, Wisconsin-based seed fund that invests exclusively in digital health, with a deliberately Midwestern footprint and a partner…
AI/ML in Healthcare Biotech
Innospark Ventures
VC T3
Boston, United States
$1M-$5M
Innospark Ventures is a Boston-area early-stage fund focused on AI-first companies, investing at seed and Series A across healthcare, enterprise software, and…
AI/ML in Healthcare Biotech
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