Universal Health Data Schemas for Privacy-Preserving AI Community Group launched

With your support, the Universal Health Data Schemas for Privacy-Preserving AI Community Group has been launched:
  https://www.w3.org/community/sirraya-uhds/

This group was originally proposed on 2025-11-08 by Amir Hameed Mir.
The following people supported its creation:
  John Kirkwood
  Seva Dolgopolov
  Amir Hameed Mir
  Muezza Wani
  Gia Tin Tang

To join the group, please use:
  https://www.w3.org/community/sirraya-uhds/join

Please note that supporting a group is different from joining
a group. Supporters must also enroll if they wish to participate.

--------------------
The mission of this group is to define a universal, modular, and interoperable set of data schemas for health information. Our goal is to enable the aggregation and utilization of data for medical research and AI training through privacy-enhancing technologies (PETs) like Zero-Knowledge Proofs (ZKPs), while ensuring patient control and consent via Verifiable Credentials (VCs).

#### Scope and Problem Statement

The development of robust medical AI is hampered by siloed, non-standardized, and sensitive health data. Current data formats are incompatible across institutions, and privacy regulations prevent the sharing of raw data, creating a significant barrier to collaborative research. This group will address this by creating schemas that transform health data into standardized, verifiable, and privacy-preserving assets.

#### Key Deliverables

- A core set of modular, extensible Verifiable Credential schemas for common medical data types (e.g., lab results, imaging reports, prescriptions, diagnoses)
- Best practice guidelines for issuing these VCs from trusted sources (e.g., hospitals, clinics)
- Specifications for generating Zero-Knowledge Proofs from these VCs to enable privacy-preserving queries and analytics
- Use cases and implementation patterns for federated learning and AI model training using the proposed schemas and ZKP protocols
--------------------

Thank you,

W3C Community Development Team

Received on Wednesday, 21 January 2026 17:10:43 UTC