How speech recognition addressed 2023’s biggest NHS challenges
As 2023 draws to a close, many of the key challenges faced by the NHS look set to continue, and even intensify, in the next year. New ways of working including speech recognition have the potential to future-proof patient journeys and help healthcare professionals manage their workloads.
How AI-powered SR delivers holistic improvements across MDTs in healthcare
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.
Reducing the impact of DTOC and bed shortages on the most vulnerable patients
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.
How speech recognition technology can support a national bed shortage
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?
Can the advantages of clinical voice-AI speech recognition technology help reduce DTOC?
DTOC is not just another step in the patient journey, but crucial to care outcomes. Since 2014 the rate of delayed transfers has continued to rise. Can technology built to make HC more efficient, influence DTOCs and NHS’ ability to deal with them?
Why speed is key to improving patient journeys and diagnostics –
With growing waiting lists, strict government targets, and increased demand, everyone involved in diagnostics is under pressure to work faster. But efficiency and speed are also vital to improving the most important thing of all: patient journeys and their outcomes.