Remote Patient Monitoring data combined with existing health records data provides the opportunity to predict 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 Ltd. The project aims to operationalise AI models to predict patient events in COPD/KOL suffers using unique datasets developed from Remote Patient Monitoring. 

Chronic obstructive pulmonary disease (COPD) is a common, progressive,  preventable  and  treatable  respiratory  disorder.  COPD is forecast to become the third leading cause of death worldwide by 2030. Service  delivery  challenges  in  COPD  management  result  in  care quality gaps. Reducing COPD exacerbations is a priority for  patients  wellbeing  and  hospitals,  who  must  address  the  challenges  of  unscheduled  care  with  rising  COPD-related  admissions.  Innovative  and  sustainable  digital  solutions  are  needed to support proactive COPD intervention outside of the hospital with a greater focus on pulmonary rehabilitation and community supported self-management.  

The Lenus Health Platform provides a data integration solution that combines existing health records, drug and laboratory information with patient acquired data from PROMs and a variety of devices. This allows unique insights to developed using AI models. Our work with the NHS in the UK has validated the data to predict patient events such as mortality, hospital readmission and exacerbations for COPD patients, and these AI models are now being applied in a real-world study.