AI aims to clean up health data for better research

NCT ID NCT07635355

Not yet recruiting Knowledge-focused Sponsor: Beijing Friendship Hospital Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study will develop an AI system to automatically fix errors and fill gaps in health records from 300,000 people. It also plans to create a secure way for hospitals to share data. The goal is to make health information more useful for research without changing any treatments.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could make health data more accurate and easier to share across hospitals, speeding up medical research.
What could go wrong: This is an early-stage observational study focused on data tools, not a treatment. Success depends on technology performance and real-world adoption.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Chronic Disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHRONIC DISEASES SUB-OPTIMAL HEALTH

Contacts and locations

Locations

Beijing Friendship Hospital, Capital Medical University.No. 95, Yongan Road, Xicheng District, Beijing, 100050, China

Beijing, Beijing Municipality, 100050, China

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