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What AI companies build with healthcare clinics data

By SourceX Editorial · Updated

Short answer

AI companies use healthcare clinics data to build medical documentation assistants, coding automation and triage models. The most useful records are clinical notes with identifying details removed, scheduling records, billing and coding histories and patient intake workflows, because they show how real work in the field gets done.

Medical documentation assistants#

Models for medical documentation assistants learn from real examples of the work, such as clinical notes with identifying details removed and scheduling records, prepared with personal details removed.

Coding automation#

Models for coding automation learn from real examples of the work, such as clinical notes with identifying details removed and scheduling records, prepared with personal details removed.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Triage models#

Models for triage models learn from real examples of the work, such as clinical notes with identifying details removed and scheduling records, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

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