Virtual wards: We are in danger of being eclipsed by our European neighbours
There is huge scope to extend the reach and impact of virtual wards and remote monitoring. But the NHS must act now to make the best use of key developments, writes Tara Donnelly in the second of a two-part series.
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To realise their potential all virtual wards must be tech enabled
In the first of a two-part series on virtual wards, Tara Donnelly examines evidence of “excellent” progress and explains why there is much more to do on tech enablement
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Lenus Health rolls out heart failure diagnostic at Blackpool CDC
Lenus Health, a supplier of predictive AI solutions, will roll out its heart failure diagnostic tool at Fleetwood Community Diagnostics Centre.
Clinical Software
Docobo remote tech used at Medical University of Vienna
Medical University of Vienna is using Docobo remote monitoring technology for its cancer patients to improve standards of care.
Digital Patient
Digital Health Coffee Time Briefing ☕
Today’s briefing covers NICE conditionally recommending two remote monitoring products for Parkinson’s and the use of AI to predict sepsis.
News
electronRx to unveil digital monitoring smartphone tech at CES 2024
electronRx will be unveiling new technology at CES 2024 which will allow patients and healthcare organisations to monitor vital heart health measurements.
Digital Patient
Digital Health Coffee Time Briefing ☕
Today’s briefing covers the signing of a charter aimed at fostering healthcare innovation in Wales and Brainomix’s continued expansion into the US.
News
Bertelsmann invests €5 million in Doccla’s European expansion
Virtual ward technology provider Doccla has received strategic investment of €5 million Euro from Bertelsmann Investments.
News
RAND Europe and Oxford Uni to evaluate remote monitoring tech
RAND Europe and Oxford University are working on the Digitally Enabled Care in Diverse Environments (DECIDE) initiative to evaluate remote monitoring tools.
News
AI and Data: Remote monitoring must filter out ‘excess noise’
Generating large volumes of poor quality data wastes clinicans’ time and puts patients at risk, says Elina Naydenova, a speaker at Digital Health’s AI+Data event. By Lizzie Cernik
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