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14 March 2025

Abolition of NHSE sends shock waves across digital health sector

We asked digital health leaders to respond to the abolition of NHSE and how it will impact NHS technology and
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14 March 2025

Movers and Shakers news roundup

This Movers and Shakers roundup focuses on departures at NHS England, following government announcements that it will lose half of
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Sir Keir Starmer
13 March 2025

Keir Starmer announces plan to abolish NHS England

Prime minister Sir Keir Starmer has announced plans to bring NHS England back into the Department of Health and Social
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13 March 2025

More than 5,000 vital NHS screenings missed due to IT oversight

An admin error meant more than 5,200 patients weren't invited to routine screening because their details didn't reach the right
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Dr Bahman Nedjat-Shokouhi, NHS consultant gastroenterologist and chief executive of Medefer
11 March 2025

Medefer refutes claim that security flaw left patient data vulnerable

Online healthcare provider Medefer has denied claims that its application programming interface (API) left NHS patient data vulnerable.
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10 March 2025

Data chiefs raise concerns about NHS federated data platform

An open letter from AphA's Chief Data and Analytics Officers Network has questioned whether the NHS FDP can support local
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7 March 2025

Digital Health’s monthly roundup of contracts and go lives

This contract and go lives roundup features a hospital in Kent going live with Altera Digital Health’s electronic patient record
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6 March 2025

Sonia Patel among final Rewired 2025 keynotes announced

Sonia Patel, chief technology officer at NHS England, is one of the final Digital Health Rewired 2025 keynote speakers to
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5 March 2025

NHS AI framework launched to support safe use across London

An AI Framework has been launched to help the NHS deliver safe and ethical pathways to use AI effectively across
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Dr Ben Maruthappu Founder CEO Cera
5 March 2025

Nationwide roll out of AI tool that predicts falls and viruses  

An AI tool is being rolled out across the NHS that can predict a patient’s risk of falling with 97%
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