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App launches to prevent distressed behaviours in dementia patients

App launches to prevent distressed behaviours in dementia patients

August 13, 2025August 13, 2025
How to turn NHS data into ‘gold’

How to turn NHS data into ‘gold’

August 13, 2025August 13, 2025
Ergéa and Newton’s Tree partner to provide integrated AI solution

Ergéa and Newton’s Tree partner to provide integrated AI solution

August 13, 2025August 13, 2025
Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

August 13, 2025August 13, 2025
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Tag: High Court

Trust reverses £65m EPR procurement decision after court claim

Trust reverses £65m EPR procurement decision after court claim

November 18, 2024November 18, 2024Digital Health

Mersey and West Lancashire Teaching Hospitals NHS Trust has withdrawn its decision to award a £65 million electronic patient record (EPR) contract following a legal challenge.
The trust previously told Digital Health News that it…

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Recent Posts

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    App launches to prevent distressed behaviours in dementia patients

    August 13, 2025August 13, 2025Comments Off on App launches to prevent distressed behaviours in dementia patients
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    How to turn NHS data into ‘gold’

    August 13, 2025August 13, 2025Comments Off on How to turn NHS data into ‘gold’
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    Ergéa and Newton’s Tree partner to provide integrated AI solution

    August 13, 2025August 13, 2025Comments Off on Ergéa and Newton’s Tree partner to provide integrated AI solution
  • Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

    Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

    August 13, 2025August 13, 2025Comments Off on Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records
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