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RegenMed Circles — Real-world clinical practice datasets from independent medical practices — structured protocol-driven case data (anatomical region, pathology, treatment protocol, outcomes) collected during routine patient care via the Physicians-Owned Circles (POC) program.. Early-growth-stage company (21 employees, $290K funding) building a distributed network of physician-owned real-world-data circles across U.S. independent practices. Use cases: Real-world evidence generation for product manufacturers, adverse-event detection, regulatory-inquiry support, marketing-claims defense, payer/…
Real-world clinical practice datasets from independent medical practices — structured protocol-driven case data (anatomical region, pathology, treatment protocol, outcomes) collected during routine patient care via the Physicians-Owned Circles (POC) program.
From 4 yearsCoverage Health CareAsset class Equities
Sample, licence terms, pricing and eval results when RegenMed Circles publishes them. Until then, discover alternatives today with a 7-day trial.
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RegenMed Circles — Real-world clinical practice datasets from independent medical practices — structured protocol-driven case data (anatomical region, pathology, treatment protocol, outcomes) collected during routine patient care via the Physicians-Owned Circles (POC) program.. Early-growth-stage company (21 employees, $290K funding) building a distributed network of physician-owned real-world-data circles across U.S. independent practices. Use cases: Real-world evidence generation for product manufacturers, adverse-event detection, regulatory-inquiry support, marketing-claims defense, payer/…
RegenMed Circles offers (Alternative) — Each POC targets a 'statistically significant' dataset from ~10 investigators over 6+ months of routine case submissions; volume scales with the number of active POCs and case-submission rate, potentially thousands of structured case records per POC.
Real-world evidence generation for product manufacturers, adverse-event detection, regulatory-inquiry support, marketing-claims defense, payer/self-insured-employer benchmarking, AI healthcare model training.
The data is with 4 years of history.
Coverage spans US; Health Care Technology; alternative; equities.
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