The pandemic is accelerating adoption of AI-technology capable of automating the capture of vital signs and proactively identifying patients at risk of deterioration
As the technology gains increasing acceptance, healthcare providers could transform patient care from being ‘re-active’ to a more predictive approach – enabling earlier intervention and better outcomes.
Ten years ago, when Isansys was first set up by Keith Errey and his cofounder Rebecca Weir, driving innovation into healthcare wasn’t easy. Healthcare providers were understandably cautious when it came to the adoption of new technology. However, all this has changed with COVID-19. In the wake of the pandemic, there has been a surge in demand for intelligent technologies capable of monitoring the patient’s status – enabling early detection of deterioration and rapid intervention. The increased numbers of very ill and infectious patients have meant that healthcare providers have had to rapidly find new ways of working.
The company has had to quickly upscale production of its Patient Status Engine (PSE) clinical learning platform as hospitals have sought to rapidly deploy the intelligent monitoring systems to increase capacity and numbers of higher dependency beds and isolation wards.
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