Generative AI (GAI) is considered the most important technical development since the establishment of the Internet.  It has profound implications in healthcare.  Research, product development, and clinical decision-making are a few major examples.

At the same time, clinical-grade real-world data (RWD) is fast becoming the most important data category in healthcare.  More than EMR, payer, RCT, and other types of data, RWD is essential to achieving value-based care, health equity and overall cost reduction in healthcare delivery.  

GAI/RWD use cases will include value-based care for payers, product development for manufacturers, scientific breakthroughs for researchers, and clinical decision support for providers.

Circles represent proprietary and well-structured RWD databases which are ideal for a variety of GAI applications.  They possess several important characteristics making them attractive for healthcare-related GAI applications:

• They are well-structured, enabling the efficient derivation of statistically significant correlations among scientific hypotheses, clinical interventions, and long-term outcomes.
• They are “fit-for-purpose”.  Each Circle database corresponds to one or two well-defined endpoints representing clinically and statistically significant datasets.
• Data integrity, auditability, scalability, and regulatory compliance.
• Clear data ownership rights.
• Ease of integration with other private (e.g., EMR) or public (e.g., open access medical literature) data sources.

Circles Founders and Members already capture value from their RWD through publication, study investigator fees, honoraria, and other channels.  Their most important opportunity for value creation will likely come from Generative AI.

For more information, see our Articles on the importance of real world data and Circles data monetization.