The AHSN Network has supported many innovators to help advance our health and care system. Find out more about successful innovations supported by the NHS.
Find your nearest AHSN
Care Homes Digital Maturity Dashboard
There is limited information on digital maturity in care homes within London. Building on the EoLC Care Home data packs created in 2018 and 2019, our Healthy Ageing and Informatics Teams were commissioned to create a user friendly and useful digital maturity dashboard for care homes across London. This project was led by the Health Innovation Network and funded by the Digital First London region team.
Advance and Urgent Care Plans – London Accelerator
In July 2020, The Health Innovation Network (HIN) were commissioned to deliver a programme to increase use and quality of shared electronic advance/urgent care plans using Co-ordinate my Care (CMC). The programme concentrated on clinical engagement.
Maximising Digital Opportunities in Perinatal Mental Health and Wellbeing
Did you know that 20% of women experience mental health problems during the perinatal period? Partners can also experience mental health problems during this time. Utilising digital solutions can support women, partners and families when experiencing perinatal mental health challenges.
Oxford Heartbeat’s medical device software PreSize® Neurovascular helps clinicians make surgical decisions with greater accuracy and confidence. Use of PreSize® is aimed at significantly reducing risks associated with stenting procedures, as clinicians are able to virtually test and compare the behaviour of stents in a patient’s cerebral blood vessels before surgery, selecting the best one for each patient.
Coordinate My Care (CMC)
The Health Innovation Network (HIN) has been working in partnership with Coordinate My Care (CMC), to explore implementing CMC, an electronic urgent care planning service, in care homes.
Maintaining diabetes structured education courses across south London
The Health Innovation Network (HIN) has worked with partners across the two south London Integrated care systems (ICS’s) to expand the provision of Diabetes structured education services to include digital and remote options to help manage the condition remotely.
Supporting ESCAPE-pain sites to deliver through digital during covid-19
The HIN’s ESCAPE-pain team received requests from sites that were eager to pilot ESCAPE-pain classes using a digital platform. The team adapted to meet this need and supported sites to trial virtual delivery if they could.
Increasing the number of care home residents in Lambeth supported by a Co-ordinate My Care plan
The Health Innovation Network (HIN), in partnership with the End of Life Clinical network for London, secured funding from the NHS England (NHSE) personalisation team to work with Marie Curie nurses to create CMC records for care home residents in three nursing homes in South East London over a five week period.
Supporting care home staff to look after their wellbeing during a pandemic: the My Wellbeing training programme
The HIN partnered with training provider Hayat Consultancy to run a pilot online training course for care home staff in south London to improve mental wellbeing. This was intended to support care home staff who were affected by the Covid-19 pandemic.
HeartFlow FFRCT for estimating fractional flow reserve (FFR) from coronary CT angiography
Coronary heart disease (CHD) is the world’s number one killer, accounting for 15% of UK deaths in 2019¹. HeartFlow FFRCT analysis provides clinicians with a more efficient pathway for diagnosing CHD that combines simulation models and medical imaging data.
Placental Growth Factor (PlGF) based testing for pre-eclampsia
Pre-eclampsia (PE) affects approximately 3% of all pregnancies and is a serious cause of maternal and foetal morbidity. There is no definitive test to help diagnose PE and the only 'cure' is delivery of the baby. High suspicion for the disease and a low threshold for admission places a considerable unnecessary burden on the system, something that PlGF based testing aims to alleviate.