How integrated speech drives Radiologists’ workflow performance
[London, 29 September 2022] – Speech recognition has provided efficiency benefits to the health profession for decades, but can the integration of this vital tool into clinical systems and into radiology work processes further boost performance? Shiraz Austin, co-founder of Augnito, a voice-AI technology company, takes a deep dive into the integration benefits of clinical speech-enabled solutions. Speech recognition as a mature technology has evolved over the years. Today it has the potential to redefine radiology, bringing new levels of accuracy, quality, speed and security. However, maximising these performance gains requires a measured approach to integrating voice-AI driven solutions and radiologists’ working processes.
Augnito clinical speech recognition deployments in the UK, one year on
[London, 26 September 2022] – The developers of Augnito, a secure, cloud-based and AI-driven clinical speech recognition product suite, have recorded rapid growth in their flagship solution’s first year sales results in the UK.
What are the real costs of risk and errors in Radiology?
[London, 7 September 2022] - Shiraz Austin, Augnito Co-Founder and expert in AI-driven speech recognition addresses the current challenges and risks associated in radiology reporting. Radiologists are facing increased pressure to manage NHS resource shortages. With...
Removing the data security barriers and concerns to accelerate speech recognition usage in radiology
[London, 30 August 2022] – Augnito cloud-based speech recognition technology highlights why data security is a concern for radiologists and NHS Trusts. While the healthcare sector and the NHS face increased pressure to adopt new technology, Scribetech (UK) Ltd, developers of Augnito, a clinical AI-powered speech recognition solution, reports widespread concerns over security and patient data. According to Scribetech, security is a key barrier to adopting speech recognition – despite its potential to accelerate reporting time, drive accuracy, and enable radiologists to deal with a significant backlog.
Is Efficiency the Key to Raising Standards in Radiology?
[London, 24 August 2022] - Augnito's latest blog addresses the current challenges within radiology and poses efficiency solutions to manage the backlogs with direct improvements on patient care. Understaffing is a real challenge across the NHS, however within...
Meet Augnito at UKIO 2022 – a next-gen speech recognition technology centred on disruptive innovation
[London, 23 June 2022] - In 1962 the first speech recognition* (SR) technology could recognise just 16 words in English. Fast forward 60 years and SR is built into most elements of our daily lives. And yet in healthcare, SR solutions are not used to their full...
Augnito chosen to improve diagnostic reporting time and accuracy for Hexarad’s radiologists
[London, 21 June 2022] - With an open API and fast integration, Augnito’s AI-powered speech recognition engine makes Hexarad’s radiology reporting platform faster, easier to use and more accurate. With widespread NHS staff shortages and increased pressure to provide...
Reports show dramatic growth in sales of Augnito speech recognition solution
[London, 18 May 2022] - The developers of Augnito a secure, cloud-based and AI-driven clinical speech recognition product suite, have recorded dramatic Q1 growth in the UK following the launch of its new flagship solution. Clinical speech recognition (SR) solutions...
Can voice-driven AI speech recognition ease the impact of understaffing in radiology?
[London, 9 May 2022] - Augnito’s five-point guide for those healthcare organisations looking for an optimal radiology SR solution to improve workplace efficiency, morale and staff retention. The Royal College of Radiology (RCR) reports unprecedented shortages across...
Accurate Speech Recognition at the Core of Radiology
[London, 28 April 2022] - During the last two COVID-19 pandemic years, 63% of radiographers reported an increase in their workplace-related stress levels due to a combination of demand, low capacity, major changes to routine departmental protocols and redeployment....