Lifebit logo
Pricing
Login
Contact Us
Request a Demo
Lifebit logo

Home/Blog

The Library

Guides & news on
federated health data

How governments, pharma, health systems, and biobanks run Sovereign AI on data that never leaves the source.

Searching…

Try: OMOP FHIR GDPR Airlock Five Safes

Featured

NIHR BioResource and Lifebit Trusted Research Environment partnership

Announcements·Sep 17, 2026·5 min read

Lifebit Awarded Three-Year Contract to Provide the Trusted Research Environment for the NIHR BioResource

Lifebit has been awarded a three-year contract by the University of Cambridge to provide the Trusted Research Environment for the NIHR BioResource, deploying its federated TRE natively in AWS.

Start here

Four Guides to Federated Health Research

The ideas behind every Lifebit deployment, explained in plain English.

Explore the platform
01 Federated Trusted Research Environment

What Is a Trusted Research Environment (TRE)? 2026 Guide

A secure platform where approved researchers analyze sensitive health data without it leaving the source.

9 min read Read the guide
 02 Sovereign AI

What Is Sovereign AI in Healthcare? 2026 Guide

AI whose data, compute, and models stay under the control of the data custodian: a nation, ministry, biobank, or hospital.

8 min read Read the guide
 03 Data Harmonization

What Is Data Harmonization? Definitive 2026 Guide

Aligning different schemas, vocabularies, units, and code systems to one Common Data Model so data can be analyzed together.

8 min read Read the guide
 04 Federation

What Is Federation in Healthcare Data? (2026 Guide)

Compute moves to the data, instead of data moving to compute.

8 min read Read the guide

All Articles

831 articles, newest first

All831Trusted Research Environment69Technology453Industry210Announcements69Opinion26

Oct 19, 2026

Social Determinants of Health Data: Sources and Linkage

Social determinants of health (SDOH) data describe the conditions in which people live, work, and age, such as income, education, housing, food…

8 min read
Oct 18, 2026

External Validation of Clinical AI Models Across Sites

External validation of a clinical AI model means testing it on data from sites, populations, or time periods that played no part in its development…

8 min read
Oct 17, 2026

External Control Arms From Real-World Data: Methods Guide

An external control arm is a comparison group built from patients outside the trial, usually drawn from real-world data such as electronic health…

8 min read
Oct 16, 2026

Training Foundation Models on Health Data Without Moving It

You can train or adapt a foundation model on health data without centralizing it by sending the model to each data custodian, training locally inside…

9 min read
Oct 15, 2026

GA4GH Standards Explained: Passports, Beacon, DRS & WES

The Global Alliance for Genomics and Health (GA4GH) standards are open technical specifications that let genomic and health data systems work…

8 min read
Oct 14, 2026

Zero Trust Architecture for Trusted Research Environments

Zero trust architecture for a Trusted Research Environment (TRE) means that no user, device, network, workload, or output is trusted by default, even…

9 min read
Oct 13, 2026

Patient and Public Involvement in TRE Governance

Patient and public involvement (PPI) in Trusted Research Environment governance means giving patients and members of the public a formal, resourced…

9 min read
Oct 12, 2026

What Is Dynamic Consent in Biobanking? A Guide

Dynamic consent in biobanking is a digital, ongoing model of consent in which participants use a secure online interface to see how their samples and…

8 min read
Oct 11, 2026

Health Research Metadata Standards: DCAT & HealthDCAT-AP

Health research metadata standards are shared vocabularies for describing datasets so that researchers can find them, judge whether they fit a study…

9 min read
Oct 10, 2026

What Are Computable Phenotypes? Sharing Across Sites

A computable phenotype is a precise, machine-executable definition of a clinical condition or characteristic, such as "adults with type 2 diabetes"…

8 min read
Oct 9, 2026

Health Data Quality: Measure and Improve Real-World Data

Health data quality is measured by testing real-world data against defined dimensions, most commonly conformance, completeness, and plausibility, and…

8 min read
Oct 8, 2026

k-Anonymity, l-Diversity and t-Closeness Explained

k-anonymity, l-diversity, and t-closeness are three privacy models for de-identifying health data. k-anonymity makes every record indistinguishable…

8 min read