By Rory Murphy
A new digital solution to help predict respiratory failure in COVID-19 patients is being trialled by the local health board.
NHS Greater Glasgow and Clyde clinicians alongside partners Storm ID and Altair Medical have developed a remote respiratory monitoring solution.
The COVID-19 Advanced Respiratory Physiological platform (CARP) uses wearable sensors, respiratory algorithms and a clinical dashboard to monitor patients.
Dr Chris Carlin, Consultant Physician at NHS Greater Glasgow and Clyde, said: “The COVID-19 Advanced Respiratory Physiological platform uses wearable sensors to help monitor COVID-19 patients. This gives us critical, real-time capability to conduct a clinical trial to see if these sensors can identify and predict respiratory failure.
“Patients with COVID-19 are at risk of sudden deterioration so we’re hoping that this technology evaluation will result in tools which can assist clinicians in treating patients as quickly as possible.”
The COVID-19 Advanced Respiratory Physiological platform will use Altair Medical’s wearable sensor and respiratory algorithms in conjunction with a clinical dashboard, made possible by Storm ID’s Lenus Health Platform, to gather patient respiratory data.
The project is funded by the University of Glasgow as part of the Chief Scientist Office (CSO) Rapid Research in COVID-19 programme.
Paul McGuinness, Director at Storm ID, said: “Our Lenus Health Platform supports remote patient monitoring and so it was only natural for us to look at how this could be made available to COVID-19 patients. The CARP solution will provide a basis for exploring how the NHS can use this innovative sensor to proactively monitor patients.
Dr Bruce Henderson, CEO of Altair Medical, said: “The CARP trial has allowed unique insights into the effects of COVID-19 and the data analysis methods developed will enhance the use of Altair Medical’s technology in a range of respiratory conditions. This would not have been possible without the Lenus Health Platform – it provides a pivotal link in safely and securely maximising the real-world utility of biosensor data.