A blog presenting healthcare voice-AI speech recognition insights and disruptive innovation news
Pathology as a critical department on the path to diagnosis and treatment, has a vital role to play in simplifying and improving the patient journey – but with structured reporting, restrictive workflows, and legacy technology, unlocking mobility, efficiency and accuracy is a significant challenge.
Technology has a vital role to play, as the radiology profession continues to recover from the impact of the pandemic, workforce shortages, backlogs and changing ways of working. The cloud will be key in maximising productivity gains as radiologists and Trusts look for more efficient ways of working.
Speech recognition empowers radiologists to work more accurately, efficiently and deliver a higher quality of reporting. But unlocking these considerable performance benefits is only possible when a speech recognition solution is deeply integrated with how radiology departments want to work.
While next generation speech recognition has the potential to further transform radiology, no change comes without some degree of cost and complexity. But with rising backlogs, a culture of litigation, and growing risk for radiologists in the UK, the costs of doing nothing could be significantly greater.
Adopting any new technology is a cautious process for many, balancing the wellbeing of radiologists with the needs of patients and concerns over privacy and risk. However, modern, next-gen speech recognition not only delivers compliance, but can de-risk the way you already create and manage reports.
Making radiology more efficient – without compromising accuracy – is a vital step in addressing staff shortages and spiralling backlogs. But it’s also how radiology can begin to build a healthier future and raise standards in patient care for the long-term.
A five-point guide to radiology workplace efficiency, morale and staff retention.
In this post we outline how new speech recognition technology is driving accuracy – and informed decisions – across radiology, addressing the challenges caused by widespread staff shortages and the COVID-19 pandemic.