Cleveland Clinic & Dyania Health: AI-Powered Clinical Trial Recruitment Poised too Revolutionize Medical Innovation
(Published: October 26, 2023 – Updated: October 27, 2023)
For decades, the promise of medical breakthroughs has been hampered by a surprisingly persistent bottleneck: the agonizingly slow process of clinical trial recruitment. This isn’t a matter of lacking potential therapies; it’s a challenge of finding the right patients, efficiently and accurately. Now, a strategic partnership between the renowned Cleveland Clinic and AI innovator Dyania Health is poised to dramatically accelerate this process, perhaps shaving years – and billions of dollars – off the timeline for bringing life-saving treatments to those who need them most.
As a content strategist deeply immersed in the intersection of healthcare and technology, I’ve observed countless attempts to address this critical issue. What sets this collaboration apart isn’t simply the submission of Artificial Intelligence, but the rigorous and contextually aware approach Dyania Health has taken in developing its platform.
The Clinical Trial Recruitment Crisis: A System Overburdened
The customary method of identifying eligible clinical trial participants relies heavily on manual chart review. Clinicians and research coordinators painstakingly sift through years of patient histories, navigating fragmented data across Electronic Medical Records (EMRs) to determine suitability. This is a monumental task, particularly when considering the scale of modern clinical trials. As Dyania Health CEO Eirini Schlosser explains, “today, clinicians must sift through years of patient histories… At the scale of thousands of patients in a clinical trial, this process would take human reviewers years to complete.”
This manual process isn’t just time-consuming; it’s prone to human error and often excludes patients from regional practices who might otherwise benefit. The consequences are meaningful: delayed research, increased costs, and, most importantly, slower access to potentially life-altering therapies for patients.
Dyania Health: Beyond the Hype – A Deeply Rooted AI solution
Founded in 2019, Dyania Health isn’t a newcomer jumping on the AI bandwagon.They’ve been quietly building a complex AI engine, Synapsis AI, specifically designed to understand the complexities of clinical data. Unlike many healthcare AI companies focusing on user interface polish, Dyania prioritized building a robust “engine under the hood.”
This involved years of dedicated Research & Advancement,meticulously annotating a massive dataset to capture the real-world clinical context and nuance often lost in standard data extraction.This foundational work, predating the widespread adoption of Large Language Models (LLMs), is what truly differentiates Dyania’s approach.Synapsis AI doesn’t just read medical records; it understands them.
Cleveland Clinic Validates the Promise: Impressive Pilot Results
The Cleveland Clinic,a global leader in healthcare innovation,began piloting Dyania’s technology in early 2024,focusing on oncology,cardiology,and neurology. The results have been nothing short of remarkable:
melanoma pilot: Dyania’s AI identified eligible patients in a staggering 2.5 minutes with 96% accuracy, compared to over 400 minutes for research nurses.
Cardiology Pilot: The platform analyzed 1.2 million records and identified twice as many eligible patients in a single week as traditional methods achieved over three months.
These aren’t incremental improvements; they represent a paradigm shift in efficiency.A Positive Impact on Patients and Researchers Alike
Lara Jehi, Cleveland Clinic’s Chief Research Information officer, emphasizes the multifaceted success of the deployment. “The technology is robust and met all our expected success milestones for accuracy,ease of use and speed to execution,” she states. Crucially, the partnership hasn’t just streamlined the process for researchers; it’s also expanded access to clinical trials for patients in regional practices who are frequently enough overlooked.
This is a critical point. Expanding access to research opportunities is a matter of equity and ensures that diverse populations are represented in clinical trials, leading to more effective and broadly applicable treatments.
The future of Clinical Research: Speed, Efficiency, and Innovation
The decision to scale dyania’s platform across the Cleveland Clinic enterprise was, according to Jehi, “obvious.” This isn’t simply about automating a tedious task; it’s about fundamentally reshaping the clinical research landscape.
As Jehi powerfully articulates, “Scientific progress in medicine aims to keep people healthier and to treat them faster
