Quick Summary
Mayo Clinic is exploring the use of healthcare-specific large language models through a generative artificial intelligence chat application to enhance patient care and clinical decision-making.
Key Features and Benefits
- Enhanced Patient Care: Clinicians can utilize real-world data to inform treatment decisions, particularly for patients with rare conditions.
- Accurate Consultations: Atropos Health’s federated healthcare data network provides detailed consultations based on peer-reviewed, real-world data, outperforming general-purpose AI models.
- Real-Time Insights: The ChatRWD platform allows clinicians to interact with real-world data in real-time, facilitating quicker decision-making at the point of care.
Implementation and Collaboration
- Atropos Health launched a generative AI-enhanced platform that has become the largest healthcare data network in the U.S.
- Dr. Peter Noseworthy from Mayo Clinic is testing the ChatRWD platform to improve clinical trials and research using national datasets.
- The collaboration allows access to Mayo Clinic’s deidentified data repository, enhancing the ability to generate actionable insights quickly.
Data Reliability and Scoring
- Atropos’ platform includes a Real World Data Score and a Real World Fitness Score to assess data quality and relevance for specific queries.
- Studies show that healthcare-specific models like OpenEvidence and ChatRWD provide reliable evidence significantly more often than general-purpose models.
Impact on Patient Care
- AI-driven Prognostograms can reduce the time needed to determine treatment options from weeks to days.
- Access to real-world data allows for faster insights, which is crucial for patients in critical care.
Future Directions
- Mayo Clinic aims to expand the use of real-world data in clinical trials, addressing health disparities and improving access for underrepresented populations.
- Atropos projects significant growth in dataset availability, enhancing the potential for data-driven healthcare solutions.