Dyania Health utilizes natural language processing to automate the review of electronic medical records (EMRs), enabling rapid pre-screening of patients for clinical trials with over 95% accuracy. This technology significantly reduces the time required for medical professionals to identify eligible candidates, ensuring timely access to critical treatments and improving patient outcomes.
Funding
$17.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians spend significant time manually reviewing electronic medical records (EMRs) to identify eligible patients for clinical trials, a process that is both time-consuming and prone to human error. This can lead to delays in patient access to potentially life-saving treatments and slow down the progress of clinical research.
Solution
Dyania Health offers Synapsis AI, a medically specialized AI system that automates the manual review of patient medical histories within EMRs. By leveraging natural language processing (NLP) and machine learning, Synapsis AI can rapidly pre-screen patients for clinical trial eligibility with high accuracy. The AI is trained by in-house physicians and operates within the healthcare system's firewall, ensuring data security and compliance. This technology enables physicians to focus on patient care while accelerating the identification of suitable candidates for clinical trials and other research initiatives.
Target Audience
Dyania Health primarily serves healthcare systems, physicians, and pharmaceutical sponsors seeking to accelerate clinical trial recruitment and improve patient access to care.
Features
- Natural language processing (NLP) for automated EMR review and abstraction
- AI trained by in-house physicians using real medical cases
- >95% accuracy compared to manual review by medical professionals
- Secure, on-site deployment within the healthcare system's firewall
- Compatibility with HIPAA, HITRUST, and GDPR data privacy regulations
- Rapid pre-screening for clinical trial enrollment
- Deterministic logic for reasoning and protocol assessment