CHIMERA seminar with Dr Padmanabhan Ramnarayan

Abstract

Each year nearly 5000 critically ill children need to be transported from their local hospitals to specialist intensive care units across the UK. These transports are done by expert critical care transport teams, who provide “ICU-on-the-move” – with continuous monitoring of multiple vital signs (like heart rate and blood pressure) and the ability to provide advanced critical care interventions. However, there has been little focus on harnessing these high-resolution data to provide clinical decision support in the transport environment. The CATS transport team (based at Great Ormond Street Hospital) has collected and stored vital signs monitoring data since 2017 (at 1 reading per second resolution for numeric data and up to 512 Hz for waveform data), offering the potential to develop machine learning models to predict near-term and longer-term patient deterioration.

Speaker Bio

Dr Ramnarayan is a paediatric intensive care physician, was the Clinical and Research Lead at the Children’s Acute Transport Service (CATS) for many years and worked with a commercial company Kinseed to implement the Medivue system to collect/store high-resolution vital signs data during transport. He has established research interests in clinical trials, critical care epidemiology and use of clinical decision support in intensive care. He will be sharing the session with Zhiqiang Huo, who was a UCL research associate until last year working on the CATS data.