The health sector is a notoriously conservative technology adopter but Edge and IoT may pave the way to its transformation towards truly autonomous care. Companies are shifting health systems out of the hospital and into the era of telesurgery, remote monitoring and connected ambulances. However, do practitioners and patients trust the way in which the market is going?
Session chaired by Simon Fletcher, CTO, Real Wireless
Edwin Bijerk, EMEA IOT Healthcare Lead, Intel
Unlock the value of AI, inference, and predictive analytics to translate data into care-enhancing insights at the edge
The growth in wearables gives clinicians a timely advantage whether it be with health monitors to collect key patient vitals (i.e. heart rate, blood pressure) to alert medical staff to issues before they become problems, by monitoring blood glucose levels and sending that information to a companion device to dispense insulin or by an AI-powered imaging model prioritising x-rays for radiologists to review. The potential from these emerging innovations is huge, but they all have one thing in common: they all generate data. Healthcare systems and providers must decide how to manage this data and what data should be sent to the cloud and what can be better managed locally – bearing in mind bandwidth expense, access and privacy regulations. This is where Edge Computing fits in – it brings data processing analytics and storage closer to the source of data generation (the 'Edge').
Dr Afzal Chaudhry, Director of Digital & Chief Clinical Information Officer, Cambridge University Hospitals NHS Foundation Trust
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