From GP surgeries to hospitals, across every department and discipline, the NHS continues to be in crisis. Backlogs aren’t getting smaller, digital transformation is slow, and waiting lists are perpetually increasing. Despite this, Trusts are reluctant to invest in smarter, faster, more flexible ways of working – and it’s easy to see why.
Historically, Trusts have been burned by technology that creates seemingly endless costs without delivering real, measurable value. What appears to be a cost-effective choice now can all-too-often spiral out of control and cost significantly more than expected. While initial investment or subscription fees are within the budget, the expense of implementation, training, and managing adoption undermine the promised value of the software or hardware.
These hidden costs are sadly common and, in some cases, woven into the business model of technology providers. But the true price isn’t just financial – it’s in how these costs affect patients.
What are the potential hidden costs of speech recognition?
Any on-premise technology comes with inevitable hidden costs. These unavoidable expenses may include infrastructure and IT changes, manual implementation and testing, procuring new devices, and ongoing management and maintenance costs, whether they involve your own IT teams or an external provider. Quickly, the per-user licence fee becomes just one part of your overall costs.
In theory, cloud-hosted technology should mark an end to hidden costs. However, the reality of this is largely dependent on the specifics of your chosen solution.
Frequently, cloud software will still require specific equipment. In the case of speech recognition, this could include specific microphones or headsets. Some providers also charge implementation and training fees in addition to your licensing costs. Even if a provider doesn’t charge these fees, you may need to invest in compatible hardware – many solutions are restricted to certain platforms and operating systems.
Finally, usability and intuitiveness play an important role in the cost of your solution. If a speech recognition solution is difficult to use, constantly inaccurate, and frustrating for your users, this creates a very real financial cost in terms of lost productivity, stressed medical professionals, and a negative impact on your patients. In part, these are the financial consequences of a ‘top down’ solution – one where the benefits to your users aren’t clear or desired, so onboarding and widespread adoption take months or even years.
How hidden costs affect practitioners and patients
The appeal of medical speech recognition is simple: improve the workload and daily routine of clinicians to improve the experience of patients.
The way people capture notes is a prime area for reinvention – and one where the benefits can be numerous. Manually typing reports, or waiting for slow secretarial manual transcription adds time to the patient journey. Checking transcription and retyping into clinical systems can slow this journey even further. The amount of time potentially wasted directly correlates to the frustration of medical professionals, the size of the backlog, and the outcomes patients can expect.
Crucially, hidden costs and complexities directly affect patients. The HSJ recently reported a Trust’s admission that ‘patients suffered harm’ due to the huge follow-ups backlog. Meanwhile, data from The Telegraph shows the number of patients waiting to start treatment in England is 7.7 million and growing. Trusts need an urgent intervention and change to ways of working and reporting. A slow, expensive implementation process only creates yet another delay – another drain on resources that takes away from positively affecting patient outcomes.
Medical speech recognition with no hidden costs
In the most objective terms, Augnito Spectra is cloud-hosted, voice-driven AI speech recognition with no hidden costs. Augnito Spectra runs on your existing desktops, tablets, smartphones and MacOS devices. It’s implemented fast with no need for on-premise infrastructure nor IT changes. And our emphasis on ease of use removes the hard-to-estimate cost of training and driving adoption. Users simply take a guided demonstration or click the solution’s own Product Tour button and get started straight away on any device they want.
At the same time, Augnito Spectra is designed to keep costs down over time. With over 99.9% accuracy for any accent and many medical specialities, Augnito eliminates the hidden costs of checking and proofing reports. And with a voice-driven AI engine, Augnito continually evolves – whether you’re adding new words like new drug names, or receiving free, constant updates as we introduce new features. You can see some of our latest updates in this short video.
Augnito Spectra delivers industry leading speech/voice recognition without hidden costs – and, as a cost-effective, intuitive to use, and accurate option, the benefits are easy to see.
Learn more about Augnito
See how Augnito Spectra is already delivering transformational value – with no hidden costs – for medical professionals across the UK. Request a demo to try Augnito Spectra for 7 days and see the benefits for yourself.
[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.
Scribetech today announced the successful integration of Augnito Voice Services™, an AI-powered voice-driven speech recognition API/SDK, into OpenRad Cloud (by Biotronics3D) – a remote radiology reporting platform.
OpenRad is a supplier of innovative radiology solutions for static and mobile diagnostic imaging centres worldwide, empowering healthcare professionals and the wider clinical research community with fully digitalised workflow processes that connect people, technology, and data.
Augnito is a secure and portable clinical speech recognition suite that offers medical professionals highly accurate, fast, effortless ways to dictate and transcribe live clinical data, on any mobile or desktop device – without the need for typing or outsourced services. For integrators and systems developers, Augnito delivers effective speech-enablement and voice-driven capability to many applications and clinical systems.
With the Augnito Voice Services API/SDK integrated into the cloud-based reporting platform, OpenRad can assist a severely understaffed and overworked profession with time-saving, highly accurate speech recognition technology. The combined solution means radiologists can accommodate increasing workloads and ever-expanding levels of diagnostic reporting from wherever they have an internet connection.
By speech-enabling the OpenRad Cloud reporting solution, Augnito delivers enhanced value, increased efficiency, and clinical data accuracy to OpenRad’s thousands of reporters. As well as making workloads more manageable, this also positively impacts the patient journey – from diagnosis to hospital stays – with an improved more seamless continuum of care.
OpenRad has also selected to add Augnito Spectra as a standalone “off the shelf” speech recognition product to its solution offering. The two Augnito products address multiple technology challenges previously experienced by OpenRad reporters. Many of these issues were the result of legacy non-interoperable products that are effective in isolation, but do not work so well together as one cohesive workflow.
Shiraz Austin, Managing Director at Scribetech (UK) Ltd and Co-Founder of Augnito stated: “Augnito is a disruptive innovation technology that carries Scribetech’s commitment to data accuracy along with our strong 20+ year heritage of delivering digital dictation solutions and transcription services to the NHS. It brings speech recognition to the clinical healthcare professionals who need it the most, alleviating clinical risk, cutting costs, and avoiding difficult and time-consuming upgrades on legacy systems.”
“In the UK, we look to provide Augnito speech recognition through a highly selective network of best in breed partners that share our approach to developing solutions that embrace AI innovation to enhance healthcare intelligence. OpenRad solidifies this strategy.”
“Augnito will augment the existing support and reporting benefits that our cloud-based reporting platform offers radiologists in the public and private healthcare system across the UK and English-speaking countries. This integration enables OpenRad to expand on its mission to transform healthcare through an open diagnostic network. At OpenRad we put patient outcomes first by speeding up clinical decision-making through the seamless connection and collaboration of healthcare experts, imaging providers, referrers, and their patients.” stated Brian Plackis Cheng, CEO of OpenRad.
For media enquiries, please contact [email protected]
Notes to editors
About Scribetech (UK) Ltd and Augnito
Scribetech (UK) Ltd is a clinical solutions innovator and official distributor of Augnito products in the UK and Ireland. The company co-developed Augnito with its sister company Augnito India Private Ltd fusing 20 years of highly accurate and secure transcription and digital dictation services to the NHS, speech-to-text, and clinical coding solutions for the healthcare sector, and its own Deep Neural Network speech recognition engine with advanced voice AI technology. Augnito provides a secure, cloud-based, voice-driven AI clinical speech recognition product suite, offering fast, easy ways to capture live clinical data on any device with 99% accuracy, support for multiple medical specialities, and no need for voice profile training. Augnito brings cost effective, seamless speech recognition to daily workflows and third-party clinical systems, quickly turning medical information into documentation that makes healthcare intelligence compliant and accessible where it is needed. Visit www.scribetech.co.uk for more details.
Founded in 2021 and based in London and Berlin, OpenRad delivers innovative radiology solutions for static and mobile diagnostic imaging centres worldwide. OpenRad aims to empower healthcare professionals and the wider research community by connecting people, technology, and data.
By combining the intelligent products and services of previously acquired Biotronics3D and Visbion, OpenRad can fully digitalise the workflow processes within the radiological diagnostic sphere. Its zero footprint SaaS based solutions speed up implementation, increase centre utilisation, provide remote access, and reduce cost of ownership. Visit www.openrad.com for further information.
In healthcare, new technology always seems to be promising a faster, smarter, better way of working. Solutions claim they’ll save you time and remove your stress, all while improving outcomes for patients and making their journeys more seamless. But those promises all need to be balanced against a simple, more pragmatic reality: budgets are always limited in the healthcare ‘business’.
Recently, the business of healthcare has been in the spotlight. With rising costs and widespread strikes for NHS workers with more on the horizon, there’s more pressure than ever to spend money effectively. Crucially, this doesn’t mean ceasing all spending. It means targeting your budget where the impact – on healthcare professionals, patients, and outcomes – will be biggest and where the value will be most effective.
With the NHS in crisis, now is the time for change: from overworked professionals burdened by manual reporting to a more agile, flexible way of working. And that transformation doesn’t have to mean huge investment, changes to your IT infrastructure, or expensive training.
The demands on healthcare have intensified
Waiting lists are increasing, hospital bed capacities are shrinking and, according to data from the British Medical Association, the average GP is responsible for 17% more patients on average compared to 2015. Accelerated by the pandemic, the healthcare needs of the UK have dramatically shifted in the past few years. It’s only natural, then, that the way healthcare professionals work needs to shift too.
However, healthcare in general is reluctant to invest in new technology. In a recent study by BT, 49% of NHS staff said the standard of technology at work was a source of stress. But while 29% strongly agree that innovation is hamstrung by a lack of funding, 37% identified cultural resistance to change as a significant barrier.
With this in mind, understanding the true value of new technology is key. The only way to overcome cultural resistance is with an objective approach – one that pits costs and price against value, reconciling the expense of a given technology with the impact on staff and patients.
Measuring the price and cost of AI-enhanced speech recognition
The healthcare industry has generally been willing to invest in AI, but Deloitte identifies the need to measure return on investment as key to continued transformation. AI-enhanced speech/voice recognition (instant digital transcription) gives users a faster, more flexible way to report and capture notes, including direct dictation into existing clinical workflows and applications. This has the potential to deliver a measurable return by saving a considerable amount of time and empowering staff to work efficiently – without compromising accuracy.
Augnito Spectra, our clinical speech recognition software, costs £576 (including VAT) per user, per year. With an average of 260 working days, that’s just £2.22 per day. Given that Augnito Spectra saves on average one hour a day – an hour that brings with it an implied cost – that’s a considerable return on investment. At the same time, Augnito has a positive impact on overworked users, improving not only performance and effectiveness but engagement, and retention. Compared to the costs of missed days due to stress or, worse, having to find someone new when people reach their limit and leave healthcare, Augnito is a significant saving.
For a few pounds per day, Trusts can empower their clinical professionals to work at their best. And that ultimately enables better healthcare outcomes for clinicians and medical staff and for patients – the most valuable output of all.
A speech recognition solution designed to create value
£2.22 per user, per day. That’s less than a pack of Nurofen (and other brands) to fend off the headache of slow, time-consuming reporting. It’s even less than a box of plasters to patch over the workload problem until people leave the healthcare sector.
Augnito Spectra also goes further to create value for your clinical staff and organisation. Designed to go wherever your people do, it includes:
• Mobile speech recognition on iOS or Android devices
• Seamless cloud-based notes, available on any device
• MacOS, Windows and web browser access
• Support for remote workers and sharing reports with different clinical systems
Learn more about Augnito
See how Augnito Spectra is already delivering transformational benefits – and measurable value – for medical professionals across the UK. Request a demo to try Augnito Spectra for 7 days and see the benefits for yourself.
Any discussion of healthcare is tied to the seemingly perennial discussion of waiting lists. Patients are waiting longer than they should have to for the treatment they need – and this is nothing new. What’s different, particularly in mental health services and integrated/community care, is the scale and severity of the problem.
NHS England currently publishes waiting time data for talking therapies, young people with an eating disorder, and early intervention in psychosis. Waiting lists across all these areas continue to grow. However, the real scale of the issue is likely to be under-reported. So-called hidden waiting lists between referral and second appointment cause around 12% of mental health cases to wait longer than six months. Demand outpaces the resources available – and adding more resources in terms of people, expertise, and technology will be a long, arduous process.
The answer isn’t in waiting for the resources to come, or leaving already strained emergency services to pick up the slack. There’s a driving, urgent need for efficiency – and doing more with the resources that are at hand and already available.
The importance of efficiency and technology adoption
The reality of mental health means that comprehensive notes are key to good patient outcomes. Cases are often complex and accurate information needs to be shared across mental health professionals (MHPs) and integrated/community care providers. When it comes to detailed reporting, more is always more.
However, this reporting burden is a significant drain on resources – namely, the people who are doing the reporting. Transforming the way mental health services are provided – and the experience of patients – is only possible when these day-to-day processes are faster and more flexible, without compromising on accuracy or completeness.
Technology has a role to play. A more digital approach to reporting helps to keep records safe, while potentially streamlining how MHPs work and increasing their agility.
Similar approaches have already been taken in areas like access to primary care, with mixed success. While patient access can be improved through initiatives like digital phone systems, online messaging and modern triage, the reality rarely meets the potential. An NHSE survey, reported by the Health Service Journal, estimates that just 10-15% of GP practices are using all three access tools.
Even where the most appropriate technology has been identified and recommended by NHS England, there is a significant gap in adoption.
Taking an MHP-centric approach to change
Conventionally, new technology in healthcare (in the form of computer hardware, digitalization, IT systems, cloud-computing, patient data reporting and recording, PACS, clinical software applications, and artificial intelligence) has been driven from the top down. NHS Trusts, private hospitals and healthcare service leaders select and deploy what they hope users will adopt fully. The problem is that the real needs of users – in this case, mental health professionals (MHPs) – are a secondary consideration.
We believe a more effective approach is one where a chosen tech solution mirrors and supports the way users/people want to work, rather than asking them to adapt to the way solutions work. This is only possible when you take into account the diverse needs, preferences and reporting processes of those individuals, providing adequate training and support. Automating certain tasks is another powerful way to support those efficiency gains. And setting clear expectations can help to avoid an overwhelming amount of change. Beyond choosing technology that’s fit for purpose, considering all these factors ensures change is and smooth and successful.
Speech recognition is a technology designed to feel natural and easy to use. By definition, it is more intuitive than any manual input could ever be. As a result, speech recognition can play a vital role in driving the adoption of a vast range of new patient data-focussed technology, including PAS, HIS and EPR systems.
When patient data is manually transcribed from one system to another, or from hurried notes into a more structured digital format, the workload of mental health professionals is increased, not improved. At the same time, these manual processes increase the risk of errors, inaccuracies, and privacy breaches involving mishandled or misplaced files. Efficiency is lost.
Speech is significantly faster than typing and, consequently, the biggest benefits of speech recognition are unlocked when it is integrated into the clinical systems that healthcare professionals already use.
How Augnito empowers MHPs
Augnito is a cloud-hosted, AI-enhanced clinical speech recognition solution that can be used to integrate speech and dictation into existing clinical workflows and applications. By bringing speech to critical technologies like an EPR system, Augnito removes the friction of typing and its time drain on users, helping to improve the adoption of digital workflows.
With a comprehensive set of user options including a desktop, browser and mobile app, Augnito allows for diagnostic reports and patient notes to be dictated from anywhere. Augnito is also easy to deploy and integrate – with providers being able to integrate into their clinical systems in as little as 48 hours and on average around 10-12 weeks.
Finally, Augnito provides a strong return on investment, not just with competitive licensing costs, but the innate ability to increase adoption rates for other clinical systems. In this sense, Augnito doesn’t just deliver value by making intuitive speech recognition available – it actively drives more value from under-used clinical technology that healthcare organisations already have.
In the words of Scribetech’s Director of Global Expansion “We are not adapting the way humans communicate with computers, but adapting the way computers communicate with humans.”
Learn more about Augnito
In just 24 months, Augnito speech recognition technology has helped drive EPR adoption through its growing subscription list of 13,500+ medical professionals across 355 hospitals, NHS Trusts, and 24 reseller, integration and radiology partners in UK, USA, Canada, India, the Middle East and APAC. Request a demo to try Augnito Spectra to see how it can help you.
[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.
Efficient clinical speech/voice-to-text digital dictation technology has the potential to improve clinical workflows, reduce delayed patient journeys and enable better informed outcomes. Such technology is only as effective as it is accessible, easy to adopt, easy to integrate, and easy to use.
To this end Scribetech (UK) Ltd, co-creator of Augnito, has invested in a new ecosystem of distributors, value added resellers and integration partners to help bring its AI-powered speech recognition technology to more users across the UK, starting with the new channel’s customers.
In the past three months, companies have been onboarded as distributors for Augnito Spectra – a cloud-based clinical speech recognition solution that supports any English accent, out of the box. This recent UK activity follows successful agreements with resellers in the last quarter. In addition, integration partners including Aptvision, OpenRad and Intelerad have recently integrated Augnito Voice Services into their own radiology reporting platforms, bringing higher levels of accuracy and the time-saving advantage of speech to the systems their respective medical customers already use.
This recent success aligns with Augnito’s sales and development team’s core strategy, reflecting not only a strong 2-year track record in delivering measurable savings and benefits to healthcare, but also reiterating the premier service-oriented heritage it carries from its co-developer’s solution support to the NHS in the last two decades.
More than 12,000 doctors across 355 hospitals and 24 partners in UK, USA, Canada, India, the Middle East and APAC, have signed up to Augnito in just 24 months. They are joined by 1500 radiologists and a growing number of consultants at various NHS Trusts. “Everything comes back to the mission we set out when we launched Augnito in the UK in late 2021,” stated Shiraz Austin, Managing Director at Scribetech (UK) Ltd and Co-Founder of Augnito.
“We know that when access to technology is simplified from the ground up, even small increases in performance turn into huge savings. Those savings can be repurposed into what matters most – making healthcare professionals efficient at delivering exceptional care and improving patient outcomes.”
Interoperability and integration are both key to this important goal. Through Augnito Voice Services and a flexible API/SDK, healthcare technology providers can integrate speech recognition into their own platforms in a matter of weeks. To date, Cimar UK, Hexarad, Fujifilm UK Medical Systems and Magentus have all integrated Augnito technology into their radiology systems, enabling efficient workflows for their customers with more accurate diagnostic reporting.
Augnito Spectra gives users constant access to accurate speech recognition and live data input on any device running either Windows or MAC operating systems. This data is then routed securely to clinical systems including PACS and EPRs. Augnito’s ability to fit into existing clinical workflows makes user adoption easier and effective. It reduces both workload management and costs, as well as changing the way providers deploy new technology – ground up vs. top down.
Austin added: “Through our best-in-breed partnerships, we’re introducing real product flexibility and agility to assist medical health professionals in providing better patient journeys. We’ve been proactive in creating more ways to use Augnito, helping us align to the NHS plan for digital transformation and ensure new technology is integrated in a way that will naturally drive user adoption.”
For IT and technology providers in healthcare, Augnito Spectra carries a compelling (up to) 30% profit margin on every UK licence the partner sells. It is designed to be easy and fast to deploy and looks to complement partners’ existing product portfolios and service offerings. For partners’ users, Augnito Spectra provides simpler and more accurate clinical data input into all major EPR systems.
Austin concluded: “We’ve seen significant demand from resellers because the demand is there across healthcare. Inefficiencies and reporting bottlenecks are costing millions of pounds in Delayed Transfer of Care (DTOC) and bed costs as well as the ever growing patient waiting lists. And with rising demand and intense workloads, everyone inside a Trust knows something needs to change. The healthcare user benefits and the time and financial savings are significant from day one. In fact the cost of Augnito per day is less than a takeaway coffee.”
Notes to editors
About Augnito and Scribetech
Augnito is a secure, cloud-based, AI-driven clinical speech recognition product suite. It offers fast, easy ways to capture live clinical data on any device with 99% accuracy, support for multiple medical specialities, and no need for voice profile training. Augnito brings seamless speech recognition to daily workflows and third-party clinical systems, turning medical information into clinical documentation and making healthcare intelligence securely accessible everywhere.
Augnito was co-developed by Scribetech, a clinical voice solutions innovator, fusing 20 years of transcription and digital dictation services to the NHS, speech-to-text, and clinical coding solutions for the healthcare sector, and its own speech recognition engine with advanced voice AI technology.