A condition linked to thousands of UK deaths has been significantly reduced by healthcare professionals at County Durham and Darlington NHS Foundation Trust, with the help of a new care model, supported by specialist nurses, and developed in partnership with NHS technology provider C2-Ai.
Created to help identify and promptly treat patients in hospital at risk from acute kidney injury, the project has led to a reduction in hospital acquired AKI of more than 80%.
Opinion Article by Vivek Krishnan, CTO, Alcidion Group.Realistically, we have two options: open Electronic Health Record, better known as openEHR and Fast Healthcare Interoperability Resources, or FHIR.
Two of the NHS' most dynamic chief information officers have joined Highland Marketing’s advisory board of NHS IT professionals and health tech industry experts.
Ian Hogan, a CIO at the Northern Care Alliance NHS Foundation Trust and Neil Perry, the director of digital transformation at Dartford and Gravesham NHS Trust, have joined the expert group that acts as a discussion forum for issues relating to digital health and provides advice to the agency and its clients.
Opinion Article by Paul Bensley, Managing Director of Primary Care Cloud Telephony Specialist X-on.It's particularly good to see the strategy's focus on using technology to support primary care and what it calls 'urgent and emergency care' - the services that help patients with an immediate care need that might range from a call to NHS 111 to a trip to the local pharmacy to a visit to A&E.
Opinion Article by Gary Birks, Gary Birks, General Manager, UK and Ireland, Orion Health.
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, showcases its award-winning AI-powered systems and solutions debuting at the European Congress of Radiology (ECR, July 13-17, Vienna, Austria). Philips will demonstrate how its portfolio of smart connected imaging systems and integrated radiology workflow solutions help increase diagnostic confidence and clinical outcomes; help reduce staff stress and burnout; improve patient engagement and quality access to care; and enhance efficiency to help reduce waste.
Siemens Healthineers presents functionalities powered by Artificial Intelligence (AI) that accelerate and improve Magnetic Resonance Imaging (MRI). The quality of MR imaging is defined by the trade-off between scan time, resolution and image noise. Improving one of these pillars usually requires compromising on one of the others.