AI aims to clean up health data for better research
NCT ID NCT07635355
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.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Beijing Friendship Hospital, Capital Medical University.No. 95, Yongan Road, Xicheng District, Beijing, 100050, China
Beijing, Beijing Municipality, 100050, China