A key member of a hospital’s leadership team, Chief Finance Officers (CFOs) are responsible for the capital health of the organisation. However, their financial choices, planning and budgeting also affect the health of individuals and the wider population.

In a typical hospital, CFOs strive for financial stability through effective planning, reporting, and strategic decision making. From cashflow to contract negotiations, CFOs ensure that financial resources are used effectively to deliver the best possible levels of care and seamless patient journeys.

In recent years, the financial pressure on hospitals and NHS Trusts has intensified. Rising demand, increasing costs, an ageing population, and funding shortfalls all create new challenges for CFOs everywhere. The Health Foundation expects these factors to worsen over time. In this context, CFOs must constantly balance competing priorities—and invest in new technology in a way that delivers the best possible return.

Solving major pain points (for Chief Finance Officers)

Efficiency is an overarching priority for CFOs. Driven by robust cash releasing efficiency targets from the Government, every CFO needs to improve processes, meaningfully reduce operating costs, and still maintain the highest standards of quality and care. This all needs to be achieved while ensuring healthcare professionals feel supported, both financially and in terms of workflow. The cost of 2023’s NHS strikes is an estimated £1.5 billion and the impact on operating costs and patients is hard to measure in financial terms.

While there is no single solution for a hospital’s complex operational needs, we’re confident that investment in clinical speech recognition delivers measurable value to staff and patients —without restricting the agility and financial clarity CFOs need in order to keep pace with a changing market.

Reducing overheads and increasing efficiency

At the most fundamental level, highly accurate clinical speech recognition is more affordable than manual transcription services or adding headcount to keep up with medical administration demand. When healthcare professionals can capture accurate patient notes and reports faster and more intuitively, they can work more efficiently—in short, the same number of ‘heads’ can complete a larger number of reports in the same amount of time.

Equally, cloud-based medical speech recognition like Augnito Spectra helps keep costs down by removing the need to overhaul IT infrastructures, spend capital for on-premise hardware, or employ IT teams to conduct application maintenance and upgrades.

Leveraging the investments in legacy technology already made

New technology including clinical speech recognition can also help CFOs drive even more value from the investments they’ve already made in digitisation. With an exhaustive SDK and API, Augnito’s AI platform can be easily and seamlessly integrated into any clinical system, including Electronic Patient Records (EPR). This allows 99.9% accurate speech recognition to be embedded into existing workflows, making even older software faster, easier, and more intuitive to use. Augnito can bridge legacy technology with new functionality now, without the cost of replacement—and continue to integrate with new technology when the Trust is financially and operationally ready to adopt it.

Making investments now to deliver lasting value

Amid widespread economic uncertainty, it’s difficult for CFOs to support strategic investments in new technology unless they can validate the likelihood of long-term value. A cloud hosted speech recognition platform like Augnito Spectra is scalable by design, ensuring its time-saving benefits can easily be extended to new individuals, new teams, and any location. Augnito has the flexibility to support site-wide expansion over time.

Augnito also delivers continuous improvement through machine learning, resulting in a solution that perpetually improves, even as new medical vocabulary comes into use. With a self-improving cloud solution, there’s no need to rethink, replace, and reinvest in something new in a few years.

Improving organisational agility

Finally, the only effective way to navigate economic uncertainty and unpredictable spikes in demand is with agility and flexibility. CFOs know that long-term financial commitments only diminish their ability to flex in order to meet the market, the needs of the workforce, government priorities, and population health requirements.

Augnito enables agility in an individual sense—by making speech recognition available anywhere, on any device—but also in an organisational sense, with simple recurring costs, no need to spend your capital, and options to shrink or grow your usage as required. Augnito is designed to accommodate fluctuations in staffing levels with localised user license administration for full control and options to recycle licenses for new users.

Learn more about Augnito

See how Augnito Spectra creates lasting value for hospital CFOs. Request a demo, to see the benefits for yourself.

[London, 30 April 2024] – Strengthening its position as an innovator in the imaging community, Scribetech has joined AXREM, the UK trade association for suppliers of imaging and healthcare IT equipment.

As UK healthcare continues its process of innovation, transformation and digitalisation, collaboration is vital. IT and equipment providers have an important role to play in addressing the emerging needs of healthcare professionals, responding to market changes, and steering the sector in-line with regulatory and compliance expectations.

To play a more active role in this process and champion sophisticated clinical speech recognition solutions in diagnostics and imaging, Scribetech, creator of Augnito, has joined AXREM as a new member.

“We know speech recognition has been instrumental in changing how radiologists work, since their early adoption of the technology in the 1980’s; we also know how today’s advanced and highly accurate speech recognition, powered by AI, has the ability to really help healthcare transform,” stated Shiraz Austin, Managing Director at Scribetech (UK) Ltd and Co-Founder of Augnito. “With an industry leading solution offering an easy and efficient way to transcribe and digitalise imaging and diagnostics reporting as well as full integration with clinical systems, it’s crucial that we maximise our engagement with the radiology community—not just the healthcare professionals we support, but other technology providers and regulators. Our membership of AXREM reflects our commitment to leading the conversation around the future of imaging and healthcare.”

Established as the Association of X-Ray Equipment Manufacturers, AXREM has evolved over the past few years as the nature of diagnostic imaging equipment has changed. Today, AXREM is the largest UK trade association for suppliers of diagnostic imaging, radiotherapy and patient monitoring equipment, bringing together over 60 member companies. AXREM represents almost all of the UK market and, as a result, is an influential voice to represent its members’ views at every level of healthcare.

AXREM membership provides industry validation for Augnito, increasing its credibility as a reliable, high-quality solution in the medical imaging market. Additionally, membership also opens up a number of significant strategic benefits for Scribetech as part of the imaging community.

AXREM members receive regular industry insights and expertise, allowing Augnito to remain relevant to the real requirements of radiologists. Members can also take part in opportunities to network and collaborate, opening doors to new ways to integrate leading technology with Augnito and vice versa, as well as forums to share best practice.

Together, these membership benefits increase Scribetech’s ability to position Augnito strategically in the marketplace, drive growth opportunities, foster innovation, and strengthen its competitive advantage.

Austin added: “AXREM and its other member organisations share our priorities, ambitions and the ultimate aim of improving patient care. As a member, we’re forging a closer connection to the rest of the radiology and imaging community. This includes consultants, radiologists and radiographers, but also technology providers who can benefit from how easily Augnito can be integrated into their solutions. As a result, we’re able to bring the benefits of accurate, AI-powered speech recognition to more solutions and existing workflows.”

Augnito offers 99.9% accurate speech recognition in dedicated software, including desktop apps, browser-based interfaces, and mobile apps. Augnito was also developed with connectivity and integration in mind, including a comprehensive API and SDK to add native speech to existing systems including EPRs.

Austin concluded: “We’re looking forward to cementing our position as the leading provider of speech recognition in radiology  and becoming part of the AXREM ecosystem.”

ENDS

Notes to editors

About Augnito from Scribetech (UK) Ltd
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.

Visit www.scribetech.co.uk for more details. For media enquiries, please contact [email protected].

About AXREM
AXREM’s member companies supply most of the diagnostic medical imaging and radiotherapy equipment installed in UK hospitals. They work with Consultant Radiologists, Radiographers and Practitioners, Oncologists, and a wide range of healthcare professionals in delivering healthcare to patients using our technologies.

Our members have unique knowledge, experience and insight into the workflow and challenges faced by healthcare professionals on a day-to-day basis, which enables us to develop and offer innovative solutions to improve the speed and quality of diagnostic procedures and treatments with our aim of improving patient care. Although our members operate in a highly competitive commercial environment and in strict conformity with UK laws and regulations, certain issues such as this require focus and resolution on an industry-wide basis.

For further information about this press release please contact AXREM Chief Executive Officer – Sally Edgington

AXREM, Rotherwick House, 3 Thomas More Street, London, E1W 1YZ

E [email protected]  ¦  T 07717 058649  ¦  www.axrem.org.uk 

 

 

 

 

 

 

Playing a critical role in overseeing day-to-day operations in healthcare, Chief Operating Officers (COOs) need to balance competing priorities and a diverse number of responsibilities. Operations, strategy and administrative tasks all need attention—but digitisation can help across the board.

In part, a hospital COO needs to be an active collaborator at the leadership level. CEOs and CMOs count on the COO to support strategic planning, sharing insights up the chain and implementing their strategies on a more tactical level. At the same time, COOs must be able to shift focus from the ‘big picture’ to the smallest details of how a hospital environment is working, from the way departments collaborate to emergency preparedness and patient data workflow optimisation.

One key priority is meeting the expectations of the Government, including the adoption of Electronic Medical Records. Under NHS England’s plan to digitise services, hospitals and trusts are expected to achieve HIMSS EMRAM Stage 5 by the end of 2025. Part of the globally accepted model for electronic record adoption, this stage will involve effective data integration, and new digital workflows will be key.

With this in mind, COOs often find themselves trying to solve multiple challenges at once—addressing short-term issues while strategically improving organisational operations for the future. Adopting speech recognition – voice driven, AI powered speech-to-text digital dictation – has the potential to address many of these challenges with one investment that provides high returns within months, not years.

Solving major pain points for Chief Operating Officers

By definition, a COO is responsible for the way a hospital operates. That includes just about every facet of day-to-day service delivery, from overall patient experience to resource management, budgets, and even facility management. With so many areas of the hospital competing for attention (and resources), it can be difficult for COOs to know where to start—and where the biggest impact could be delivered.

How can we make the most of limited resources for technology?

Hospital COOs understand the urgent need for transformation more than most. Post-pandemic, it has become clear that stretched resources and overworked healthcare professionals create unnecessary risk. One sudden surge in patient demand could be devastating. In this context, COOs want to invest in technology that delivers widespread improvements—not just for a single department, but across the entire patient journey. Cloud-based speech recognition like Augnito Spectra allows COOs to invest on a small scale in new ways of working, then grow this sustainably and affordably over time. As a result, the time-saving benefits of speech recognition can be incrementally unlocked and these efficiency gains can have an immediate impact across the entire hospital.

How can we eliminate bottlenecks and improve patient throughput?

Process optimisation is a key responsibility for COOs. One way to eliminate delays on the patient journey is to improve workloads, giving teams new ways to work efficiently without compromising on quality and accuracy. Speech recognition and what some call voice driven (AI powered) digital transcription, or voice recognition, helps with this by enabling faster, more accurate and detailed patient data capture, without the need to wait for manual transcription and without the added risk of transcribed errors.

When users can complete clinical reports in less time, they get more done—and get the time and space they need to drive quality and constant improvement in care pathways. This has a positive knock-on effect on hospital resources, treatment waiting lists, transfer processes, and patient journeys.

How can we build a more confident, capable internal culture?

Many hospital COOs face the challenge of improving care-staff relations and fostering a collaborative working environment. The foundation of a good working environment is transparency and clear communication—and speech recognition can help eliminate confusion and ensure everyone can access the information they need.

Integrated into an EPR or other clinical systems, Augnito Spectra doesn’t just make capturing patient and clinical notes easier—it ensures that accurate, timely information is always reflected in the day-to-day systems clinicians depend on. In this way, Augnito strengthens the way teams collaborate, share information, and make informed care decisions.

How can we improve our resilience and agility?

With responsibility for emergency preparedness and facility management, COOs understand the need to build redundancy into ways of working across a hospital. When people are tied to cumbersome on-premise technology, they’re simply unable to respond to change in a way that supports organisational resilience.

Augnito Spectra was designed to go wherever its users go, rather than restricting how they can work. As a cloud-hosted solution, Augnito can be accessed from anywhere, including mobile apps, enabling clinicians to work securely and confidently, even in the event of a disaster, or sudden location changes.

Learn more about Augnito

See how Augnito Spectra delivers measurable benefits now, while future-proofing the way you capture patient data. Request a demo, to see the benefits for yourself.

Time-saving is often the biggest promise of replacing slow transcription with smart speech recognition—and it’s not a unique claim. With an audience of overworked healthcare professionals, almost every new technology claims to drastically reduce admin time, but working faster isn’t where the real value lies.

If every healthcare professional worked faster, we’d begin to make progress on backlogs, waiting lists and bed shortages. However, this is a drop in the ocean given the chronic understaffing the NHS is facing—and the danger of speed is that it undermines the quality of care delivered. At the same time, the hours saved every day are only important if that time can be spent wisely—to listen, think carefully, and safeguard positive patient outcomes.

Speech recognition can save healthcare professionals up to an hour every single day. But what really matters is the way in which this time is repurposed to improve outcomes.

The persistent barrier of bureaucracy

There are few jobs without a seemingly endless amount of bureaucracy but, in healthcare, the stakes are higher. When you spend excess time on transcription and moving pieces of data around patient records, this is all time taken away from skilled, important work.

According to a survey from staffing app Florence, 20% of NHS and social care managers say they spend 7-8 hours on admin every day. Around 40% said this impacts patients with 30% naming documentation and record keeping specifically. Crucially, 35% feel that outdated technology causes more time wasting.

In this context, it’s only natural that many NHS trusts and private healthcare providers are turning their attention to new technology that claims to reduce admin time. However, these headline time savings aren’t always what they claim to be.

The reality of time savings and measurable value

When comparing technologies, it’s tempting to imagine a direct correlation between time and money savings. We’ve previously written about hidden costs and the challenge of measuring value but even the promise of an hour saved per person, per day, must be understood in its proper context.

A technology like speech recognition helps users reclaim an hour every day, on average. So where is this time currently being spent? With some solutions, it’s not actually time saved—it’s time that’s just moved to checking for accuracy as well as other tedious admin tasks.

From the outset, it’s easy for time savings to be displaced onto training and adoption. Unwieldy solutions may require extensive face-to-face training. In many cases, this significantly reduces the real-world time-saving you can expect. At the same time, ongoing training and support can quickly undermine efforts to work faster and more flexibly. If a user must wait for speech recognition dictionaries to be manually updated every time a new drug name appears, there’s a risk that the user will be working more slowly than ever before.

By automating transcription and documentation tasks, clinicians can save valuable time that can be redirected toward patient care. This reduces work-related stress, improves work-life balance, and influences outcomes in three key ways:
#1 More Time for Patient-Centric Care: With less admin, clinicians have more time to focus on their primary responsibility—providing patient care. This extra time at the bedside allows for better communication, addressing patient concerns, and building stronger patient-clinician relationships.
#2 Timely and Accurate Diagnoses: Accurate and comprehensive documentation supports better-informed patient-care planning, improved medication management and less error prone decision-making. When clinicians have access to detailed timely patient records, they’re able to make more accurate diagnoses and develop safer, effective, treatment plans.
#3 Enhanced Patient Satisfaction: Patients appreciate the convenience and efficiency of prompt and accurate clinical documentation and are more likely to adhere to their treatment plans and follow-up requirements. This in turn contributes to more efficient and timely patient journeys and ultimately to better care outcomes.

Similarly, a new way to capture clinical records, reports and notes is only effective if it’s closely connected to other clinical systems, reducing the risk of errors associated with manual data entry or with data (miss)-routing by systems that don’t integrate with each other. While users might be able to capture notes up to four times faster with speech compared with manual typing, or using an outsourced transcription provider, this may be limited to a given interface. It’s vital that the information captured is right first time, before it is securely sent to wherever it needs to be—from/to patient records, healthcare colleagues, or patients.

How Augnito Spectra turns time into value

Augnito Spectra delivers over 99% accurate medical speech recognition to where it’s needed. An easy-to-use, AI-powered, cloud-hosted platform that saves time compared to manual typing or transcription. What makes it unique is the way it then safeguards time savings so they can be spent improving patient outcomes.

With Augnito Spectra, users can dictate notes and reports directly into the clinical record system from any device. Data is seamlessly and securely routed to other systems as soon as it’s ready, rather than it being delayed due to manual repetitive re-entry. All with unmatched accuracy for any English accent or dialect, with no need for lengthy voice training, so every user can maximise their time savings.

Augnito Spectra is also backed by the service and support that only comes from a team with over two decades experience in delivering transcription services to the NHS. From ongoing product updates to in-app help, a guided tour, and always-available support, Augnito ensures that time isn’t just saved on digital transcription—it’s also saved every time a new feature is used or help is needed.

Learn more about Augnito

See how Augnito Spectra creates compounding time savings across every part of your daily routine. Request a demo to try Augnito Spectra for 7 days and see the benefits for yourself.

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.