Real-World Evidence Patent Family‍

Patents can be difficult to understand; they are also difficult to receive.  In the right contexts, however, they are highly valuable.  Especially in large, fast-growing markets (like healthcare data), strong patents act as competitive moats, and long-term revenue sources.

RegenMed is building a foundational patent family in the + $500 bn world of generating and analyzing real-world healthcare data.

And, real-world evidence is at the heart of value-based care, better health outcomes for all patients, and less expensive but more impactful medical innovations.

Our issued patent family already includes 20 distinct claims relating to the clinically efficient development of proprietary, highly valuable datasets.  For example:

• Handling disparities in real-world data which might otherwise not be combinable, or which might originate from disparate or heterogeneous sources
• Generating real-world data from the ground up . . . such that reliable canonical answers can be mined from large datasets and consistently provided in response to queries to the solution for an answer
• Gathering and analyzing large amounts of RWD data from heterogeneous, multi-national, and unverifiable data sources, and provide canonical results that are constituently reliable and can expose, for example, clinically-significant correlations between medical products or treatments and outcomes

Again, this type of patent language may seem overly technical and abstract.  But it underlies large parts of all healthcare data use cases in the 21st century.  And it is not merely conceptual.  These and other patent claims are reflected in the many RegenMed Circles deployed by hospitals, product manufacturers and other healthcare constituencies around the world.

Proprietary, Copyrightable Healthcare Databases

RegenMed’s Circles use a closed system for generating, aggregating, and analyzing healthcare data.  They cover any anatomical region, pathology and/or treatment protocol.  As such, they can establish hundreds of new and important correlations for clinicians, scientists, patients, product manufacturers and AI training models.    

Most healthcare data today derives from multiple sources.  Moreover, they pass through many hands and are generally “cleaned” and otherwise manipulated.  They rarely include outcomes data.  All of this makes it difficult if not impossible to identify primary data sources and ownership.  Moreover, it leads to a high degree of unreliability in most clinical contexts.

Circles avoid all of these issues.  Each datapoint is attributable not only to its primary source, but is also integrally tied to specific clinical contexts and long-term outcomes.  Circles datasets are thus proprietary to those who create them, and copyrightable.  This and their high quality lead to multiple data license opportunities across a broad variety of healthcare data users.

_{This Reg CF offering is made available through StartEngine Primary LLC, member FINRA/SIPC. This investment is speculative, illiquid, and involves a high degree of risk, including the possible loss of your entire investment.}