USPTO Patent Application: Blockchain for Clinical and Genetic Data
Summary
The USPTO has published a patent application (US20260082175A1) detailing a blockchain solution for harmonizing and storing clinical and genetic data. The application, assigned to Columbia University, aims to facilitate precision medicine by creating cohorts and identifying relationships between data types.
What changed
This document is a USPTO patent application (US20260082175A1) for a blockchain-based system designed to store and harmonize clinical and genetic data. The proposed method involves providing both data types to a blockchain platform, structuring them, harmonizing them, creating cohorts based on this harmonized data, and identifying relationships between clinical and genetic information within those cohorts. The application was filed by The Trustees of Columbia University in the City of New York and lists Gamze Gürsoy and Ahmed Elhussein as inventors.
As this is a patent application, it does not impose immediate regulatory obligations. However, it signals potential future technological developments in health informatics and data management. Compliance officers in the healthcare and pharmaceutical sectors should be aware of such innovations as they may influence future data handling standards, privacy considerations (e.g., HIPAA compliance), and the development of new health IT solutions. No specific compliance actions or deadlines are associated with this patent application itself.
Source document (simplified)
BLOCKCHAIN SOLUTION FOR HARMONIZED STORAGE OF CLINICAL AND GENETIC DATA
Application US20260082175A1 Kind: A1 Mar 19, 2026
Assignee
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Inventors
Gamze Gürsoy, Ahmed Elhussein
Abstract
A method for practicing precision medicine comprising providing, to a blockchain platform, each of clinical data and genetic data, providing the blockchain platform, the blockchain platform having a first data structure comprising clinical data and a second data structure comprising genetic data, harmonizing the first and second data structures, creating at least one cohort based on the harmonized first and second data structures, and identifying at least one relationship between the clinical data and the genetic data in each of the at least one cohort.
CPC Classifications
H04W 4/021 G06F 16/2272 G06F 16/2379 G06F 16/245 G16H 50/70 H04W 4/023 H04W 52/0203 H04W 4/02 H04W 4/027 H04W 4/06 H04W 4/33 H04W 4/80 Y02D 30/70
Filing Date
2025-05-01
Application No.
19195797
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