News Summary
The Cleveland Clinic is teaming up with Dyania Health to utilize artificial intelligence in streamlining patient recruitment for clinical trials. This partnership aims to address the significant challenges faced due to low enrollment rates in clinical studies, which have been exacerbated by data fragmentation. Dyania’s Synapsis AI platform has already shown promising results in pilot programs within oncology and cardiology, significantly reducing the time taken to identify eligible patients compared to traditional methods. This collaboration seeks to improve the efficiency of clinical trials and enhance patient representation.
Cleveland – The Cleveland Clinic is collaborating with Dyania Health to harness artificial intelligence (AI) in a bid to expedite the recruitment of patients for clinical trials. This state-of-the-art initiative comes in response to the alarming statistic that approximately 80% of clinical trials fail to meet their enrollment deadlines, and nearly half of these trials do not enroll any patients at all.
The partnership aims to utilize AI-driven large language models to streamline the patient identification process, improving overall efficiency in academic medical centers. Dyania Health, located in Jersey City, New Jersey, and Greece, specializes in AI applications for healthcare data, providing innovative solutions to the difficulties faced in trial recruitment.
One of the central features of this collaboration is Dyania’s Synapsis AI platform, which interprets diverse medical data forms, such as clinical notes and medical records. This data is then combined with demographic information, such as age, to deliver precise medical conclusions about patient eligibility for clinical trials.
Pilot Programs Show Promising Results
The Cleveland Clinic has conducted pilot programs in oncology and cardiology to evaluate the effectiveness of Dyania’s Synapsis AI platform. In the oncology pilot focusing on a melanoma study, the AI system successfully identified eligible trial patients in an average of 2.5 minutes with a remarkable 96% accuracy rate. In comparison, experienced research nurses took an average of 427 minutes to identify patients with a 95% accuracy rate, while another nurse completed the task in 540 minutes at an 88% accuracy level. These findings were shared at the American Society of Clinical Oncology annual meeting.
AI Outperforms Traditional Methods in Cardiology
The cardiology pilot program aimed at transthyretin amyloid cardiomyopathy provided equally impressive results. The Synapsis AI analyzed over 1.2 million patient records within a one-week timeframe, successfully identifying 30 eligible participants. In contrast, standard recruitment methods managed to find only 14 patients over a 90-day period. Furthermore, Synapsis AI significantly broadened patient representation by detecting candidates across various sites within the health system, enhancing diversity in the trials.
The results of the cardiology pilot were presented at the American College of Cardiology meeting, reiterating the effectiveness of AI in clinical trial recruitment.
Addressing the Challenges of Clinical Trial Recruitment
Dyania Health’s CEO emphasized the hurdles academic medical centers encounter with trial recruitment, particularly the issues stemming from data fragmentation and inefficiencies that have historically plagued the sector. In recognition of these challenges, the Cleveland Clinic has invested in Dyania Health, which may provide financial benefits from the technology’s future sales.
Currently, the Cleveland Clinic runs approximately 1,000 clinical trials annually but has faced challenges in meeting enrollment targets, achieving only 51% of its goals. Through this collaboration, the intention is to leverage Dyania’s cutting-edge technology to improve performance and connect patients more adeptly with suitable clinical trials.
Revolutionizing Patient Recruitment Strategies
The Synapsis AI platform’s capabilities extend to continually assessing patient records for any eligibility changes concerning clinical trials. This ongoing evaluation fosters a more dynamic approach to recruitment, potentially widening the available participant pool by tapping into a broader spectrum of patient data.
The Cleveland Clinic is dedicated to aiding other healthcare systems in the adoption of Dyania’s AI solutions, ultimately seeking to enhance the effectiveness of clinical trial patient recruitment on a universal scale.
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Additional Resources
- Cleveland Clinic Partnering with AI Company to Improve Clinical Trial Recruitment
- How Cleveland Clinic is Speeding Up Clinical Trial Recruitment
- Cleveland Clinic Partners with Dyania Health for Clinical Trial Recruitment AI
- Wikipedia: Clinical Trial
- Cleveland Clinic and Dyania Health Partner for Research Studies
- Google Search: Clinical Trial Recruitment
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