Digital Care Models for Long Term Conditions

A talk by Paul McGinness
Co-founder and CEO, Lenus Health

Register to watch this content

By submitting you agree to the Terms & Privacy Policy
Watch this content now

About this talk

Remote Patient Monitoring data combined with existing health records data provides the opportunity to predict patient events such as mortality, hospital readmission and flare-ups in long-term conditions using AI. The UK is leading the applied application of AI technology to long-term condition management through an NHS funded project with Lenus Health. The project aims to operationalise AI models to predict COPD-related events using unique datasets developed from connecting health data from various sources across the patient journey from case finding to management. Building innovative and sustainable digital solutions will enable proactive interventions outside of the hospital. This shifts the burden of care outside of the hospitals where it can become community supported self-management to improve quality of life and reduce costs across ICS systems.

Paul McGinness

DL100 list for AI innovation of the year with 20+ years' experience growing a digital consultancy business and leading major transformation programmes, especially within the health sector via Lenus, named Scotland's Healthtech Start-Up of the Year 2022

Loading content...

Loading content...