Physicians-Owned Circles

October 10, 2024

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Physicians-Owned Circles

October 10, 2024

RegenMed is now enabling independent clinicians to earn supplemental revenue and increase practice equity value through Physicians-Owned Circles.  POCs are based on a simple premise – manufacturers, payers, self-insured employer groups and other healthcare constituencies regularly license high-quality healthcare datasets.  This demand will only accelerate with the growth of AI learning models, where the error rate in healthcare must be close to zero.

Independent practitioners are often in the best position to generate the real-world evidence datasets most valued by licensees.  Through POCs, they can do so with minimal interruption to normal clinical flow.  POC Members, including the Principal Investigator, receive 85% of all license fees generated by those Circles.

Each month, RegenMed will publish and organize Physician-Owned Circles across the dozens of pathologies and treatment protocols representing the most valuable datasets in medicine.  More information can be found here.

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Physicians-Owned Circles

October 10, 2024

RegenMed is now enabling independent clinicians to earn supplemental revenue and increase practice equity value through Physicians-Owned Circles.  POCs are based on a simple premise – manufacturers, payers, self-insured employer groups and other healthcare constituencies regularly license high-quality healthcare datasets.  This demand will only accelerate with the growth of AI learning models, where the error rate in healthcare must be close to zero.

Independent practitioners are often in the best position to generate the real-world evidence datasets most valued by licensees.  Through POCs, they can do so with minimal interruption to normal clinical flow.  POC Members, including the Principal Investigator, receive 85% of all license fees generated by those Circles.

Each month, RegenMed will publish and organize Physician-Owned Circles across the dozens of pathologies and treatment protocols representing the most valuable datasets in medicine.  More information can be found here.

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