Radiology solutions specialist OpenRad integrates Augnito Voice Services into its cloud-based reporting platform to provide customers with improved accurate workflows
[London, 31 August 2023] – With Augnito voice-driven AI transcription capabilities now integrated into the OpenRad Cloud (by Biotronics3D), its English speaking users will benefit from the increased efficiency and functionality that Augnito’s native speech reporting offers.
Augnito AI-powered speech recognition extends accessibility across UK healthcare with new reseller channel and integration partners
[London, 30 June 2023] – Scribetech has been dramatically expanding its ecosystem of Augnito partnerships and successful integrations in order to empower more healthcare professionals with clinical documentation flexibility and a more efficient way of working.
Intelerad integrates Augnito voice recognition to provide clients with cloud-based alternative for InSight PACS reporting.
[London, 18 May 2023] – Augnito Voice Services™ will integrate with Intelerad’s InSight PACS reporting, equipping clients with accessible, advanced speech recognition technology that simplifies patient care. This new integration partnership will provide Intelerad clients with increased voice recognition options, giving them access to a pioneering, cloud-based product that helps ensure clients are not limited to one voice recognition platform and the risks associated with that dependence.
How speech recognition is addressing the real cost of NHS bed shortages and DTOCs
[London, 29 March 2023] – With the NHS struggling to meet the demands of an ageing population, complex discharge processes, and widespread bed shortages, new technology has an important role to play in safeguarding patient outcomes.
How healthcare professionals can use clinical voice-AI speech recognition to reduce DTOC
[London, 10 February 2023] – As the NHS continues to address and reduce Delayed Transfer of Care (DTOC) incidents – and their associated costs – speech recognition has the potential to deliver transformative efficiency gains.
Scribetech secures third consecutive award listing on NHS Commercial Solutions Framework with Textflow and Augnito
[London, 31 January 2023] – Scribetech (UK) Ltd. has been re-appointed to the NHS Commercial Solutions Framework Agreement for the provision of digital dictation, speech/voice recognition, outsourced transcription and associated services in all four of the contracting authority’s lots, following a comprehensive information gathering and tender evaluation process. This award is Scribetech’s third consecutive listing, since 2010.
How integrated speech recognition is enhancing pathology and patient journeys
[London, 7 December 2022] – Supporting a widespread remit to simplify and improve patient journeys, next-gen speech recognition is empowering pathology departments to work more efficiently.
Augnito partners with CIMAR UK to empower radiologists with integrated, cloud-native speech recognition
[London, 29 November 2022] – Augnito partners with CIMAR UK to empower radiologists with integrated, cloud-native speech-recognition. Integrated into CIMAR’s cloud PACS solution in less than 6 months, Augnito helps clinical users create reports as much as 40-60% faster while working from anywhere.
How speech recognition in radiology reporting is helping to modernise diagnostics
[London, 26 October 2022] – Augnito cloud-based voice-AI driven speech recognition technology helps accelerate healthcare digital transformation with new levels of accuracy, productivity and efficiency.
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.