Digital therapeutics for severe mental illness
Job no longer available
Digital therapeutics for severe mental illness
1-20 employees
Job no longer available
1-20 employees
To accurately predict future mental health problems to help prevent escalation or relapse and work towards eliminating crisis in mental health.
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To accurately predict future mental health problems to help prevent escalation or relapse and work towards eliminating crisis in mental health.
Careloop Health provides predictive, personalised care for people living with severe mental illness. Developed in conjunction with the University of Manchester Innovation Factory, the company’s vision is to use digital technology and data insights to improve outcomes for patients.
Gold-standard research trials have proven its psychosis and perinatal mental health products to be safe, effective, and easy to use. Its suite of powerful tools enables personalised mental health self-management, facilitate patient-clinician shared decision making, and identify early warning signs of escalation and/or relapse. Its proprietary AI is also designed to recognise changes in an individual’s mental health to identify deterioration and predict acute events before they occur for early intervention.
Careloop is supported by a range of organisations, such as the National Institute for Health Research, Orcha, Clinical Research Network Greater Manchester, the NHS, the Wellcome Trust, and more. With new apps being developed and continued research trials taking place, Careloop is well set to pioneer how severe mental illness is treated.
Freddie
Company Specialist at Welcome to the Jungle
Shôn Lewis
(Chief Medical Officer)Professor of Adult Psychiatry at the University of Manchester. They trained at the Maudsley Hospital and have worked within the NHS throughout their career.
John Ainsworth
(John Ainsworth)Professor of Health Informatics at the University of Manchester and was the Director of the Centre for Health Informatics. Former software engineer spanning commercial R&D and academia.