What are your first thoughts when you hear the words ‘peace’ or ‘pleasure’? For some, the words may be associated with each other even possibly used interchangeably, but in reality, there is a very distinct difference as observed by Jay Shetty.
A leading provider of Artificial Intelligence (AI) to the healthcare industry, including pharmaceutical, private and NHS services, has reported 160% year-on-year growth.
Combining both AI and machine learning, RwHealth’s analytical abilities are being used not only to model demands within services by anticipating patient flows but also model treatment options. The result of which can both increase productivity and support clinicians in providing extensive, more widespread care.
During the Covid-19 pandemic, being able to anticipate patient flows has been essential when it comes to dealing with patient demand, potential bed shortages and managing increased waiting lists.
The investment into AI within health and social care services has been rapidly increasing with NHSx announcing a £250 million investment into AI in September 2020. The aim is to drive digital transformation in order to save money and deliver optimised clinical outcomes.
At the same time, patient data safety remains at the cornerstone of this revolution. RwHealth, which works with over 70 UK and international providers including both NHS Trusts and private organisations, does not hold any private patient information or personally identifiable hospital data.
Orlando Agrippa, CEO and Founder of RwHealth, said in a recent interview, "We've grown at an extraordinary rate, as healthcare providers realise how AI can improve patient outcomes, while helping to ease the wider pressures that the healthcare industry faces. It's important to tackle backlogs and bed capacity issues so that healthcare remains safe and steady as we attempt to recover post-Covid."
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Carrie Plummer - Editor & Content Manager
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Search nowWhat are your first thoughts when you hear the words ‘peace’ or ‘pleasure’? For some, the words may be associated with each other even possibly used interchangeably, but in reality, there is a very distinct difference as observed by Jay Shetty.
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