The Measurement of VItal SIgns by Lifelight® Software in comparisON to the Standard of Care - Multi-site Development

AIM: To advance the development and accuracy of the Lifelight® app for the measurement of vital signs, therefore developing a non-invasive and easy-to-perform means of measuring vital signs which can be implemented across a wide range of settings, both within hospitals and out in the community. METHOD: Lifelight® is a computer program ("app") for measuring vital signs which can be used on smart devices that contain a camera. It is able to measure all of the vital signs by measuring very small changes in skin colour that occur each time the heart beats. This means that it does not need to touch the patient. The investigators believe this could be an effective way of measuring vital signs, especially during the COVID-19 pandemic when prevention of cross-contamination between patients is essential. Patients are also likely to be reassured by a contactless approach. The app uses data from looking at a person's face to calculate the vital signs. This is possible because there are tiny changes in facial skin that occur each time the heart beats. The investigators believe Lifelight® could be an effective way of measuring vital signs. The app is still under development, which means that it is still "learning" the best match between the information it collects from the face and the values of vital signs measured using the standard equipment. The app should become more accurate in calculating the vital signs as it sees more and more information from patients. So far, the app has seen data from inpatients, outpatients, patients attending GP surgeries and healthy people. This has improved its accuracy in measuring vital signs. However, the app needs to see more information so that it can be sufficiently accurate for specific clinical applications such as long-term monitoring of hypertension. To do this, it particularly needs to see information from people with abnormal blood pressures and blood oxygen levels. In order to capture the full range of observations, the app will n