Chaired by: Dr Odiri Eneje (Cambridge) and Mr Matthew Rutter (Cambridge)
9.30am - Analogue to digital – AI interpretation of CPET Dr Karl Sylvester (Cambridge)
10.00am - Digital health in the hospital and at the home Professor Michael Crooks (Hull)
10.30am - National virtual wards Professor Daniel Lasserson (Warwick)
9:30 AM
90 MINUTE SESSION
Learning outcomes
To understand how artificial intelligence / machine learning can be applied to cardiopulmonary exercise testing in clinical practice.
To understand what “digital health” means in clinical practice.
Showcasing the work that is being done on a national level to understand the role of virtual wards, and how this approach can be implemented with the appropriate governance to gain maximum benefit to patients.
Identify new opportunities to address respiratory healthcare needs with artificial intelligence.
Curriculum mapping
Generic CiP 1: Able to function successfully within NHS organisational and management systems
Managing patients in an outpatient clinic, ambulatory or community setting, including management of long-term conditions
Recognises potential of applied informatics, stratified risk and personalised medicine for patient benefit when appropriate
Understands how to set up integrated respiratory services (including relevant NHS structures, business cases, commissioning, tendering processes
Demonstrates practical application of “Hospital at Home” and admission avoidance systems
Works in partnership with the Respiratory Multi-disciplinary team (e.g. physiotherapists, specialist nurses, palliative care team, pharmacists, physiologists and psychologists)