East Midlands Ambulance Service NHS Trust has published its Strategic Estates Plan to 2035, outlining its future state vision and plans for a strategic hub model enabled by technology. “The current EMAS estate was constructed for an ambulance service model that no longer reflects the scale, complexity, or operational needs […]
Author: Jennifer Turton
Essex Partnership University board notes latest on EPR programme
Essex Partnership University NHS Foundation Trust’s board has discussed its EPR programme amidst reported delays to phase two and outstanding work on future state validation, with a revised timeline for the action given as June 2026. “The NOVA programme is progressing, but new risks – linked to system integration and […]
NHS Wales links encounters data through national systems
NHS Wales has shared that its National Data Resource programme has achieved a milestone, with encounters data from Cardiff and Vale University Health Board linked into the care data repository. This update brings data such as referrals, outpatient appointments, and inpatient admissions together in a structured and standardised way, said […]
Royal Berkshire launches market engagement for electronic PROMs and outcomes reporting system
A preliminary market engagement has been launched by Royal Berkshire NHS Foundation Trust, seeking a hosted and fully maintained electronic orthopaedic PROMs and outcomes reporting system. On the requirements, the trust notes the system should be capable of integrating with its existing EPR, support compliance around statutory reporting and enabling […]
Deep dive: EPR implementation and go-lives, optimisation, benefits realisation from 30+ NHS trusts
For our EPR feature series, we take a deep dive and reflect on some of the progress made around EPRs over the last 12 months, focusing-in on implementations, on optimisation and benefits realisation, on future plans, and on insights from the wider health and care sector. Implementation and go-lives East […]
Digital framework to 2028 from NHS Fife highlights key programmes for £21 million digital spend
NHS Fife has published its digital framework 2025-2028, placing a strong focus on integration through the development of an EHR and digital front door, information availability at the point of care, the wider adoption of linked data and informatics, digital enablement, skills development, technical infrastructure, and cyber security. The board’s […]
DSIT partners with Anthropic on AI assistant to help people navigate GOV.UK services
The Department for Science, Innovation and Technology (DSIT) is partnering with Anthropic, an AI safety and research company, to build and pilot an AI-powered assistant for the GOV.UK website following DSIT’s “scan, pilot, scale” framework supporting testing and iteration prior to wider roll-out. The AI assistant is said to help […]
New ETSI standard outlines baseline cyber security requirements for AI models and systems
The European Telecommunications Standards Institute has announced the launch of a new standard, ETSI EN 304 223, outlining minimum cyber security requirements for AI models and systems as the “first globally applicable European Standard (EN) for AI cyber security”. The new standard is designed specifically for AI systems to protect […]
NHS App Roadmap highlights pilots, integrated services, appointments, prescriptions, messaging
NHS England has shared the latest updates on its NHS App Roadmap, including recently completed pilots, current areas of focus, and plans for future development. The roadmap notes a list of NHS App integrated live partners and services, including providers such as Accurx and Anima Health for online consultations, Patients […]
Leeds Teaching Hospitals expands data sharing with Yorkshire and Humber Care Record
Leeds Teaching Hospitals NHS Trust has begun sharing four new data sources with the Yorkshire and Humber Care Record, covering appointments, encounters, location, and referral requests. The addition of these four items means that Leeds Teaching is now sharing eight of the ten resources listed on its minimum viable data […]
