Digital Health Rewired 2022
Digital Health Rewired 2022 brought a return to some semblance of normality ‘post pandemic’, with over 2000 turning out in person at the Business Design Centre in London.
Artificial Intelligence & Data in the NHS
At the AI & Data Stage, we heard from a spectrum of clinicians, academics, data scientists and technologists giving their perspectives on the opportunities and challenges to adoption of artificial intelligence in clinical practice and in the use of patient data. The pandemic necessitated an acceleration of the development and use of health data, the focus now is on sustaining that momentum.
Real-world case studies:
Dr Patrik Bächtiger, spoke of his team’s research using an ECG-sensing stethoscope in concert with AI ECG interpretation to identify patients with heart failure with reduced ejection fraction.
Dr Devesh Sinha relayed his experience in deploying AI methodologies to optimise stroke care pathways and slash time to treatment with AI-assisted diagnosis of CT-imaging – crucial where time is brain: 1.9 million neurones are lost for every 1 minute a stroke goes untreated (1).
Dr Basab Bhattacharya gave his perspective as a radiology clinical lead, cautioning that whilst AI has its role in addressing radiology workloads, this should be in concert with other established and innovative approaches – and we should not be blinded by the new and shiny.
An informative day brought to a close with a panel discussion on what’s next and scaling up AI in the NHS. Much to digest on how to move forward with realising the clinical benefits of AI in Jersey and inform the Allan Lab’s work evaluating AI applications across our diagnostic imaging. Done ‘right’, harnessing largely untapped health care data through the use of AI methods offers great potential to support clinicians and optimise both individual and population health.
Some Links
Using Artificial Intelligence to improve our stroke care
Saver JL. Time Is Brain—Quantified. Stroke. 2006 Jan;37(1):263–6.
A London food recommendation: Monohon Ramen