Augmented Cognition

While AI has the potential to accelerate radiology’s digitisation transformation, the barriers to adoption remain high. Augnito AI-powered speech recognition is removing these barriers through ease of use, the convenience of the cloud, and deep integration with industry leading RIS/PACS platforms.

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 data and reporting accuracy – is a vital step in addressing staff shortages and spiralling backlogs. But it is also a way for radiology to begin to build a healthier future for the sector and a way to raise standards in patient care for the long-term.

Augnito’s five-point guide for those healthcare organisations looking for an optimal radiology SR solution to improve workplace efficiency, morale and staff retention.