Augmented Cognition

Hidden waiting lists between referral and second appointment cause around 12% of mental health cases to wait longer than 6 months. Demand outpaces the resources available, and adding more resources in terms of people, expertise, and complex technology isn’t the answer.

Workflow benefits alone do not determine the success of integrating new tech into mental health services. As MHPs begin their journey of digital transformation, a wide range of factors need to be considered, including ease of implementation, user adoption, patient data security and costs.

Rising demand in NHS mental health services and the wider community are facing unprecedented pressure making diagnosing and treating conditions a considerable challenge. Advances in AI speech recognition can support the vital transformation of the service and of its AHPs and MHPs.

The UK healthcare system is complex. Patient journeys are touched by many people, all with their unique care roles to play, which can compound processes when collaboration between providers becomes ineffective around the flow of patients and the flow of patient information.

While DTOCs, bed shortages and needless hospital stays impact every patient and add pressure to the 7m+ waiting for treatment backlog, the NHS still has a responsibility towards society’s most vulnerable: the frail elderly and sick children.

With NHS bed stocks infamously limited and showing no signs of growing in a way that’s substantially impactful, what approaches can we take to address this major challenge? And how can speech recognition technology help?