A blog presenting healthcare voice-AI speech recognition insights and disruptive innovation news
From the first paper records to today’s connected, digital landscape, the way patient data is handled is constantly evolving. With Augnito Spectra, try a way of working that’s faster and more efficient now, while also future-proofing your organisation for the inevitable changes ahead.
For overworked medical professionals facing an ‘admin epidemic’, the promise of saving time with new technology is compelling. While medical speech recognition can save up to 1 hr of admin per day, it takes more than accuracy alone to turn these savings into better patient outcomes.
Trusts have been burned by tech that creates seemingly endless costs without delivering measurable value. While initial investment is within the budget, the expense of implementing, training, and managing adoption undermine the solution’s promised value – with these hidden costs adding to its true price – affecting patients.
With the NHS in crisis and more pressure to cut costs, now is the time to repurpose budgets into new technology where the impact on staff, patients, and outcomes will be biggest and where the value will be most effective – this doesn’t have to mean pricey IT investments.
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?