Current Health, a Scottish original equipment manufacturer (OEM), has just secured US FDA clearance for its AI enabled, wearable, remote patient monitoring device.

It has been designed as a wireless tool for automatic and continuous monitoring of patients. The device was developed using a real-time physiological data set. It has been embedded with the company’s algorithms to analyse patient data continuously and deliver actionable and proactive insights.

The device can also be integrated with other devices to collect additional metrics, determining patient-specific digital therapeutics and recommendations.

It aims to enable early intervention. If healthcare providers use the device for proactive care delivery, patient outcomes should be improved. In addition, it is expected to minimise hospital readmissions in the cases of patients whose condition deteriorates post-therapy – a potentially unnecessary process that currently costs more than $40 billion a year in the US.

The device has already been implemented at Mount Sinai Brooklyn in the US for earlier detection of patient deterioration and to enhance health outcomes.

“Current’s continuous and proactive monitoring platform has the potential to alert us to patient deterioration faster and give our team data insights they can act on earlier,” said Scott Lorin, Mount Sinai Brooklyn president.

Healthcare providers in the UK are currently using the solution in a post-acute setting. The Dartford and Gravesham NHS Trust’s Hospital at Home team has used the device to remotely monitor patients after discharge, which has led to a 22% decrease in home visits by the staff. The organisation also reported lower hospital readmissions and emergency department visits.

Current Health hopes that the use of the device can be expanded from hospitals to at-home use in the future. Remote health monitoring has been growing in popularity as both patients and healthcare professionals want health to be monitored outside of clinical settings. The tech can aid people with numerous conditions but is mostly used for monitoring heart conditions and diabetes.