Mid Yorkshire Teaching NHS Trust has selected the Nervecentre electronic patient record as its preferred supplier, following a tender process. The trust becomes the eleventh acute trust to select the EPR, with neighbouring trusts, Harrogate and District deploying the platform and York and Scarborough planning to go live early next […]
NHS trust
Dorset digital strategy outlines plans across interoperability, data sharing, building digital skills and capability
Dorset HealthCare University NHS Foundation Trust, Our Dorset digital strategy to 2030 has been published, sharing the aim to create a “seamless, integrated digital ecosystem that empowers staff, improves patient experiences, and leverages emerging technologies like AI to deliver equitable, efficient, and person-centred care across all health and social care […]
East London NHS FT data approach on patient flow and predictive analytics
East London NHS Foundation Trust has outlined its use of data in informing patient care and patient flow, deploying digital screens, interactive dashboards, and PowerBI. 22 wards across the trust now have digital screens showcasing real-time data on aspects of flow, safety, care plans, observation status, Mental Health Act status, […]
EPR, EPMA and AI advancements at University Hospitals of North Midlands NHS Trust
University Hospitals of North Midlands NHS Trust has highlighted “significant advancements” in its digital transformation initiatives this quarter, including EPMA deployment, AI pilots, and the rollout of BadgerNet EPR. The BadgerNet EPR was launched in November, to be used moving forward for all medical and nursing documentation including observations, medical […]
Royal Wolverhampton shares post EPR go-live update and phase two plans for 2026
The Royal Wolverhampton NHS Trust has shared updates on phase one go-live of its EPR programme and a revised EPR milestone plan to the end of 2026 and beyond. Phase one covered the replacement of the trust’s patient administration system for acute and community services, as well as the emergency […]
The Clatterbridge Cancer Centre highlights AI, ambient voice, single EPR and robotic process automation
The Clatterbridge Cancer Centre NHS Foundation Trust has shared updates on its digital and innovation work, outlining use cases of AI, ambient voice technology, and robotic process automation. On innovation the trust is utilising AI in developing models for predicting non-attendance and length of stay, with a dynamic dashboard also […]
East Kent Hospitals opens ambient voice technology supplier engagement
East Kent Hospitals University NHS Trust has published a pre-procurement notice for an ambient voice technology/scribe solution that can support clinical efficiency and help to reduce the administrative burden across the trust. The request for information notes five key aims of the procurement: to enhance clinical efficiency, improve documentation accuracy, […]
Barts Health takes action following Cl0p cyber attack
Barts Health NHS Trust has responded to a recent cyber attack where files from a database containing invoices were stolen and posted on the dark web. The stolen files include names and addresses of individuals required to pay for services at the trust over a period of several years, as […]
Sheffield Teaching Hospitals board discuss EPR moving from implementation to stabilisation
In November, Sheffield Teaching Hospitals NHS Foundation Trust shared updates and priority areas as its Connect EPR programme moves from the implementation to the stabilisation phase. On the priority areas for stabilisation the trust notes a focus on redesigning of clinics within Connect to improve patient bookings, ensuring no gaps […]
Royal Surrey NHS sets research, development and innovation plans to 2030
Royal Surrey NHS Foundation Trust has outlined plans to become a “nationally-recognised centre of excellence for clinical research”, utilising AI and data as part of its innovation strategy. By 2030, the trust plans to ensure that it is delivering “high-impact, patient-focused research” to inform the best possible future care for […]
