Technology has a vital role to play, as the radiology  profession continues to recover from the impact of the pandemic, workforce shortages, backlogs and changing ways of working. The cloud will be key in maximising productivity gains as radiologists and Trusts look for more efficient ways of working.

For years, it’s been clear that radiology is a department in need of change. Long before the pandemic, the profession was notoriously understaffed, creating a steadily growing studies backlog, year after year. Meanwhile, it was becoming increasingly clear that legacy imaging systems, with their on-premise, hard to access data, would soon become untenable.

The events of 2020 changed life, work and healthcare on a global scale. Suddenly, the idea of radiologists working remotely, and in some cases from home, became a reality. Trends that were already in motion accelerated – and the backlogs grew even further out of control.

The spark of much needed modernisation was lit – and acceleration to digital transformation became a reality.

Modernising diagnostics throughout the NHS

In November 2021, the UK Government announced significant funding to modernise and digitise diagnostics. This was in addition to a Spending Review promise of £2.3 billion to transform diagnostic services across England.

The stated goal of this funding was clear: to increase efficiency by saving staff time, making data sharing easier, and speeding up patient treatment as a result.

In radiology specifically, this funding was pledged to be focused on sharing scans across settings, improving how scans are requested, and enabling radiologists to report on scans remotely.

How can these diverse targets be met in a way that helps government funding and taxpayer money go further? What kind of new technology can become the bedrock of transformation for radiology? Furthermore, how can this technology become a seamless part of the workflow, not just for radiologists, but also in how medical departments and disciplines interact?

Removing old processes and obstacles is only part of the answer. Using a solution that offers portability, connectivity and flexibility towards how radiologists now need to work in the post pandemic digital era provides a more holistic approach.

Improving the core workflow of radiologists

A key barrier to radiologist productivity is unwieldy and out of date software that makes reporting on images more obtuse and time consuming than it needs to be. Replacing such with an AI-driven speech recognition (SR) and voice transcription system is a powerful way to make day-to-day reporting more efficient, by:

  • Enabling radiologists to easily dictate reports with extreme accurate results and little to no editing required
  • Delivering an intuitive, easy to use interface for transcription
  • Automating repetitive tasks through macros and auto-texts

As a simple replacement for manual transcription services, a voice-AI SR like Augnito creates considerable time savings for radiologists. As a result, they’re able to keep pace with a sizable workload – and reduce the backlogs created by the pandemic and working from home.

Taking speech recognition benefits everywhere

Crucially, Augnito was built in partnership with radiologists and around the clear, urgent need to make reporting more flexible, scalable and secure. The pandemic demonstrated that work from home was possible. But remote access is also a way for radiologists to work however and whenever they need to.

Augnito is a 100% cloud-hosted solution, available anywhere, bringing highly accurate speech recognition to smartphones, tablets and browser-based applications. With Augnito, radiologists can work securely from home – or anywhere else – while avoiding the need for complex and cumbersome locally installed applications, which often tie up IT resources.

At the same time, a cloud speech recognition solution helps Trusts use their funding effectively and achieve their digital transformation goals sooner and with greater ease. There’s no need for costly, complex changes to infrastructure, or ongoing maintenance and updates. A hosted solution is ready to use immediately, then backed by ongoing centralised management.

Speech recognition has helped radiologists work more efficiently for years. Now, cloud-hosted speech recognition empowers radiologists to work not just faster and more accurately, but with unlimited flexibility and peace of mind around security and compliance, including, GDPR and PID regulations. All while making change simple and risk-free for Trusts and healthcare providers, with a solution that can be securely provisioned in-line with a secure IT strategy.

Going beyond the radiology department

Radiologists themselves are at the core of how imaging and reporting is changing. But they also have an important role to play as part of a wider diagnostic process where information flows from GPs to radiologists and back again.

With this in mind, the connectivity and availability of radiology data is a fundamental requirement for digital transformation to be impactful – providing the holistic approach we touched on earlier.

Augnito can also be deeply integrated with other clinical and reporting technologies, using the Augnito API and SDK intergration tools.

Through integration, our industry leading SR engine can become an integral part of the entire healthcare clinical reporting path:

  • Enabling GPs to report directly into their patient admin system in primary care
  • Sending referral letters through to other specialised physicians/clinicians
  • Working hand-in-hand with EMR/EPRs
  • Returning patients and reports back to GPs and any follow-up community or mental health support

In many cases, we already have relationships with the leading providers to make Augnito integration faster and more straightforward. Similarly, we’ve built strong relationships across teleradiology, bolstering the ability to deliver SR to outsourced radiologists also helping to clear NHS backlogs.

In this way, Augnito isn’t just supporting radiologists individually – we are beginning to transform the entire field, as well as reaching out to the many other specialist professionals across healthcare.

A solution for every aspect of radiology reporting

Augnito is tailored to the challenges the profession is facing – and the big opportunities for change and improvement.

Accuracy is at the centre of what makes Augnito different. But it’s the quality of our solution and the sum of its many parts that makes it such a good fit for radiology’s continued transformation.

Augnito helps radiologists process their reporting more efficiently. It puts time savings in their hands, wherever they work – be it from hospitals or home. Augnito works out-of-the box with a range of intuitive apps and interfaces. It can also be deeply integrated with other clinical systems, extending the impact of its speech recognition benefits and empowering Trusts to save even more time and money. All from the same secure, cloud-based technology.

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.

Despite new innovations in technology, many radiologists have been working in a certain way for years, even decades on end. The idea of outsourced transcription, which was deeply embedded, was subsequently replaced by early versions of speech recognition. Even while teleradiology is expected to continue its growth over the next few years, the day-to-day process for many radiologists is reassuringly familiar.

Speech recognition as a mature technology has evolved over the years, it now has the potential to redefine radiology, bringing new levels of accuracy, quality, speed and security. But maximising these performance gains takes a considered approach to integration. The most impactful solution is one that’s deeply integrated, bringing the best possible speech recognition engine to existing PACS/RIS workflows.

Integrating speech with ways of working

The COVID-19 pandemic has driven a rise in new ways of working. In some areas, consultant clinical radiologists have been allowed to continue to work remotely at least part of the working week.

Today, radiology reporting mostly takes place in clinical settings – but also at a wide range of different locations, using different devices. For speech recognition to be adopted, it needs to be easily available everywhere.

Crucially, the right speech recognition solution will deliver a seamless experience on every device, as fully featured as possible to allow radiologists to work without limitations.

Augnito is a cloud-hosted speech recognition platform that’s already supported on multiple devices, including:

  • Desktops and laptops
  • Web browsers on any device
  • iOS and Android smartphones and tablets

As a result, radiologists can get the benefits of integrated speech recognition and word processing, wherever they need it.

Integrating speech with existing systems

A key benefit of speech recognition is reclaiming the time that would’ve been spent on manual or outsourced transcription. However, maximising this time saving is difficult when existing clinical systems slow the reporting process down.

Augnito includes an open API and SDK to integrate speech into any existing clinical system, as well as a Google Chrome plugin to enable speech in web-based software. This extends the time saving potential beyond Augnito itself and into every part of the radiology workflow.

Already, Augnito is being used by radiology specialists in a range of different platforms. The Augnito API makes it possible to embed real-time speech into any platform, creating time savings for radiologists without requiring an entirely new way of working.

Making adoption fast and simple

Many new technologies ask people to invest a lot of time and energy now for savings far into the future. Augnito is different, with a focus on a simple, seamless user experience from day one and savings that can be measured immediately.

Out of the box, Augnito is already built for a wide variety of radiology and clinical terminology. It supports any accent, delivering 99.3% accuracy instantly – with no need for time-consuming voice profile training.

At the same time, Augnito is quick to implement for technical and IT teams. As a cloud-hosted solution, there’s no need to make changes to existing infrastructure. Meanwhile, ongoing updates are seamlessly handled by the Augnito team in the cloud, avoiding the need to change individual user workstations and reporting devices.

The impact of Augnito on radiology performance

Deeply integrated to clinical workflows – and radiologist preferences – Augnito delivers more than accurate speech recognition. It impacts the way radiologists work and report for a measurable increase in wellbeing, standards, and patient outcomes.

Compared to typing, Augnito records patient data five times faster. Augnito also includes advanced options to push this time saving even further.

Macros allow for customisable ‘auto texts’, where standard phrases and blocks of text can be inserted by voice at the cursor, without the need to dictate in full. This reduces the input time for radiologists, so they can focus on the more complex terminology.

Meanwhile, templates enforce a regulated, structured way of reporting, so radiologists can create reports in a standardised format that’s easily shared and understood by colleagues. These reports can also be built around wider approved guidelines and unified standards, creating a further time saving and efficiency increase.

The next generation of speech recognition

With fewer radiologists, more time on site, and increasing backlogs of reports, speech has the power to deliver instant performance increases. But legacy speech recognition, without deep integration, still places a significant burden on radiologists.

As data is moved from one system to another, re-keyed by hand, or copied and pasted into the appropriate field, clinical risk is created. Only an integrated solution can remove the manual handling, preserve accuracy, and empower radiologists to focus on reporting quality, not technology.

Augnito is designed to deliver the next generation of speech recognition – accurate, efficient, secure and integrated. It’s speech recognition at the forefront of AI, built to support the future of radiology.

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.

As with every facet of healthcare, radiology departments are no strangers to the idea of controlled risk. A delay or discrepancy in a radiology report always has the potential for severe consequences and a domino effect.

However, with radiologists facing increased pressure to keep up with NHS resource shortages and impossible workloads, that risk is rapidly growing. As a result, entire Trusts and healthcare providers need new ways to reduce errors, deliver consistency, and drive risk down.

The cost of errors and delays to the NHS

At the most fundamental level, issues with radiology reporting – often due to workloads, reporting accuracy, or radiologist cognitive overload – expose Trusts to litigation.

According to NHS statistics, 12,629 clinical claims were made against the NHS in 2020/21. The cost of these claims to the NHS was around £2 billion.

From emergency care to oncology, departments encountered more litigation – and higher compensation amounts – than ever before. In fact, the number of clinical claims was 15% higher than five years ago and 133% higher than 9 years prior. The level of that litigation is not decreasing.

Radiology also reported a significant increase in claims between 2015/16 and 2020/21 – a growth of almost 10%, reflecting 376% growth over the past 9 years. This may have been partly driven by increased usage and reporting – but also the widespread staff shortages, overworked radiologists, and a backlog that was intensified by the pandemic.

Worse, this financial cost is only a reflection of the more human cost – an impact on patient care, standards of practice, and outcomes.

How radiologists are addressing risk

For radiologists, mitigating this significant financial and human cost does not just mean accepting that mistakes happen, but taking proactive steps to reduce the likelihood at every stage. Reporting accuracy is vital, as is checking the standard of accuracy.

Clinical analytics is a growing priority around the world, with signed-off reports analysed for accuracy, errors and outcomes like referrals. In some instances, this data can be used to drive radiologist performance, flagging issues like too few or too many referrals, or identifying overdue exams to avoid adverse outcomes. In this context of increased scrutiny, high quality report data is essential.

While not new, a layer of peer reporting is another way to significantly raise standards in radiology. The Royal College of Radiologists published a detailed report in 2014 on quality assurance and peer feedback, outlining expectations that at least 5% of radiology reports should be screened by peers – that was 8 years ago.

Time has not made this best practice any less challenging in an environment where there is a severe lack of peers to do the reviewing and the profession continues to already be overworked. This kind of initiative depends on the availability of radiologists, free from the pressure of an endless backlog. It also requires reports to be clear and consistent in their format via structured reporting.

However, the right digital approach to reporting can help – and voice-AI driven speech recognition can play a key role.

Speech recognition reduces risk for radiology

Highly accurate, AI-powered speech recognition has the potential to reduce or stop the domino effect of errors at the source. Augnito doesn’t just give radiologists a way to report faster and with fewer errors, but also embracing standards through consistently structured reporting.

Built in partnership with clinicians and radiologists, Augnito delivers 99.3% accuracy out of the box, available on any device: desktop, web, mobile or integrated with existing clinical systems. Clinicians can work however and wherever they need to – without compromising on reporting quality.

Augnito is also designed to support secure sharing, empowering radiologists to adopt more peer review as part of their daily routine. And, because it’s a 100% cloud-hosted solution, there’s no complexity in implementation or ongoing management and maintenance of hardware and infrastructure – which can add unnecessary risk to data loss, costs, and reporting down-time.

Radiologists – and any other department – will always face a measure of risk when it comes to their reporting. Augnito brings increased control to every radiologist, significantly reducing risk – personally, professionally, to the Trust and to patients.

 

 

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.

Driven by Government expectations and its strong recommendation to the public sector, hospital Trusts are pressured to replace legacy systems and adopt new technology that demonstrates better value for money. The Cloud First policy is just one example: a comprehensive initiative to increase cloud adoption throughout the NHS.

Radiologists tend to explore new technology with confidence – they were one of the first to adopt speech recognition. However across entire departments and frontline healthcare organisations, several barriers can make more widespread adoption difficult. According to Matthew Chase, former CTO at Guy’s and St Thomas’ NHS Foundation Trust, these include concerns over cost and complexity – but security is an issue that’s raised most often.

Security in particular holds Trusts back from innovations that could empower radiologists, improve collaboration, and ultimately improve patient care.

More than anything else, radiology reports are valuable sources of data and insights that will inform patient management. Protecting that data is a critical task.

Creating consistent, compliant reports

Traditionally, the narrative reports from different radiologists vary in language, length and style. As a result, they’re not always clear when shared with referring clinicians, adding a layer of translation and decryption to an already difficult workload.

Increasingly, technology is used to bring consistency and control to the way radiologists report. This significantly improves reporting quality – but it also means entrusting sensitive patient data to the platforms you use as a department.

In part, effective security is about protecting this data from leakage, loss and malicious interception. But it’s also about safeguarding the integrity of the valuable report data created using years of radiology experience and learning, particularly when it’s used to determine an overall path of care.

The three security barriers for speech recognition

Accurate speech recognition has the potential to further transform radiology as a field and transform the lives of radiologists. However, until now, adoption has been limited by the understandable concerns of Trusts that don’t want to be exposed to additional risk.

#1 The transfer of data to the cloud

The cloud and electronic health records are already making it easier for clinicians to share information, monitor cases at every stage, and understand every patient interaction in context. Despite this significant benefit, many are concerned about the safety of data as it is transferred outside of the local infrastructure.

More than servers and connections, the cloud is built on trust. It’s a major consideration in cloud adoption, with users expecting guarantees on:

  • How data is made accessible to specific individuals
  • How data is secured against unauthorised access
  • How data is protected against tampering or manipulation
  • Availability, resilience and low or no risk

The most effective, accurate speech recognition uses cloud computing to support complex AI models. Robust data protection and security is vital.

#2 The use of data to improve AI

Speech recognition doesn’t just absorb voice data and create reports. Any machine learning AI will need to process and learn from data, contributing towards natural language processing and natural language understanding. As standard, this data should always be anonymized and encrypted before it is used in training.

In this context, the integrity and security of voice data is a concern that should stretch beyond radiology or individual Trusts. A speech recognition provider can only deliver accuracy that continually learns and improves by embedding robust security and data protection – removing any identifiable data, or risk of data breach and loss.

#3 Maintaining compliance at every touchpoint

With the rise of remote working, governance has become a big challenge for healthcare. Compliance with regulatory expectations is no longer confined to the hospital and its core systems. It’s something that needs to go wherever users do – and wherever data does.

Native speech recognition on smartphones and tablets creates a complex compliance minefield. When using solutions like Siri, for example, do you, the user, know where the audio is being routed to for processing? Do you know what data/personal detail is being stored and where? Could there be a risk of cross-border routing in a way that’s likely to breach GDPR?

Overcoming this compliance concern takes speech recognition that’s expressly built for the needs of healthcare and radiology, with an acute focus on keeping data safe, secure and compliant.

How next-gen speech recognition keeps data secure

Developed in partnership with clinicians, for clinicians, Augnito’s AI-driven speech recognition and voice transcription offers industry leading security. It’s not just a dictation platform for accurate transcription, but a powerful tool that radiologists and Trusts can feel comfortable about using.

A few of Augnito’s parent company’s security and compliance credentials include:

  • ISO 27001:2018 certification and GDPR compliance
  • A speech recognition engine hosted by Amazon Web Services (AWS) in the UK
  • Anonymised, encrypted data at rest, store exclusively in the UK
  • Automated backup options in AWS to prevent data loss

In these ways, Augnito goes beyond accuracy to offer security, data protection and peace of mind.

At the same time, Augnito doesn’t just take the risk out of adopting speech recognition – it’s a powerful way to raise your security standards in the cloud compared to traditional, manually typed reports, and offers value for money compared to legacy, or non-clinical voice recognition solutions.

By bringing consistency and reproducibility to every radiological report, enabling role-based, secure sharing, and enabling secure transcription on any device, Augnito is making radiology data safer than ever before.

Making radiology more efficient – without compromising accuracy – is a vital step in addressing staff shortages and spiralling backlogs. But it’s also how radiology can begin to build a healthier future and raise standards in patient care for the long-term.

As a discipline, radiology continues to be severely understaffed. The Royal College of Radiologists’ Clinical Radiology UK Workforce Census 2020 Report published in April 2021, estimates today’s consultant capacity at just a third of the required workforce. Without intervention, that shortfall is expected to hit 44% by 2025.

For radiologists and radiographers, this creates unnecessary pressure to deliver accuracy against unprecedented backlogs. As a result, demoralised radiologists are leaving the NHS in the hundreds.

An RCR poll of 1,089 UK radiology consultants at the start of April 2021 found:

  • 41% moderately or severely demoralised in their jobs post-pandemic
  • 48% planning on working less
  • 22% considering leaving the NHS

The report also found that a further 12% of radiology consultants were considering leaving in the next 12 months. This is three times more radiologists than would normally leave the NHS each year, equating to the potential loss of 735 consultants and trainees across the whole workforce.

Faster, more flexible, and more efficient ways to report on images have the potential to transform radiology – and reduce the working stresses affecting radiologists as well as addressing the staff shortages affecting the profession. Crucially, achieving new levels of efficiency can also positively impact patient outcomes and raise standards of care.

Helping radiologists deliver exceptional care

With the NHS facing the biggest backlog in its history following the pandemic, patients are waiting longer for diagnostic imaging. According to The Guardian and data from NHS England, the number of people waiting more than three months for tests was 22 times higher in 2021 than in 2019. This March 2022 the numbers have not decreased and are showing the waiting list for diagnostics total 1 million 568 thousand 914 patients, with 24.8% waiting 6+ weeks, resulting in an increase of 0.6% compared with the same month last year, and 9.3% of patients wating in excess of 13 weeks from referral. These numbers will result in added pressure for radiologists, with priority and routine reports seeing them use a multitude of technologies and transcription services – and all combine into one intimidating backlog. The implications of this backlog are severe.

Early diagnosis is a key variable in patient outcomes. Every delay creates risk to patient care – and, ultimately, to lives. In the words of one NHS radiologist: “Patients are presenting with cancers that six months ago may have been curable, but now are inoperable or untreatable.”

To address this challenge and deliver exceptional care, radiology needs change now, today.
Unlocking new levels of efficiency could be key to making this change a reality, starting with individual radiologists and ultimately affecting the entire profession.

Making individuals more efficient

On an individual level, new technology has the potential to help radiologists manage their workloads and accelerate reporting without compromising accuracy.

Augnito AI-driven speech recognition provides a time-saving way to accurately create reports and notes, simply by speaking them into a mic or headset. Available in the cloud with no need for additional hardware or software, Augnito gives every radiologist a much faster way of working – one that helps accurate diagnoses happen sooner.

However, the combination of staff shortages and widespread backlogs isn’t easily overcome. Helping radiologists work faster isn’t effective when there simply aren’t enough radiologists. No amount of working faster or smarter is enough to address the crisis alone.

That said, the efficiency gains of new technology used across individuals could have widespread implications on the entire radiology space.

Efficiency is about more than saving time

Radiologists aren’t new to speech recognition and its potential to save time. But this is just one part of the wider efficiency gains made possible by more recent innovations.

Many Picture Archiving and Communication System (PACS) and Radiological Information System (RIS) providers have built their operating models around selling and supporting on-premise software. However, as the private sector has consistently demonstrated, true efficiency comes from a more agile, off-premise approach.

When reporting and speech recognition are available in the cloud, the cost and complexity of new technology is significantly reduced. Software like Augnito is available wherever and whenever radiologists need it – without the burden of management and maintenance. Meanwhile, the use of AI in the cloud helps to preserve accuracy in every report.

Of course, this comes with a significant financial advantage. Budgets can be refocussed on the things that matter most, from working environments to patient care. At the same time, radiologists unlock more flexible ways of working, dealing with fewer IT issues and outdated legacy software.

In this way, the benefits of efficiency are compounding – and making radiology more efficient is a vital first step in raising standards for every practitioner and every patient. That’s why digital transformation is a key part the NHS Long Term Plan, with a special focus on ‘using intuitive tools in ways that empower clinicians and reduce the administrative burden’.

The long-term effect of efficient reporting

Immediately, accurate speech recognition can lessen the burden on radiologists, improve workloads, and increase wellbeing and workforce retention. In the medium-term, departments can create considerable time and money savings, focusing more of their resources on delivering the highest levels of patient care.

Under the pressure of the current resource crisis, few trained consultants can invest their time and energy into building the future of their department and the wider discipline. Today, donating time to training new consultants and assisting in teaching simply isn’t a priority. But it’s only with investment in new staff and a concrete digital transformation plan that standards of patient care can be sustainably increased.

Speech recognition promises to liberate radiology from unnecessary admin, error risks and time-consuming transcription. But that’s only possible when software is delivered in a way that’s flexible and scalable. Driven by AI, cloud speech recognition delivers the accuracy, efficiency and agility that today’s radiologists need. And, empowered by the right technology, consultants can begin to steer radiology to a healthier future – one where impossible backlogs, staff shortages and declining standards of care are a thing of the past.

The Royal College of Radiology (RCR) reports unprecedented shortages across diagnostic radiologists – those who enable accurate treatment – and interventional radiologists who treat via non-invasive procedures. By RCR estimates, approximately 2,000 more consultants will be needed just to keep up with pre-pandemic demand for scans and surgery.

This shortfall shows no signs of disappearing any time soon. In fact, it’s expected to grow to 44% by 2025. It’s a concerning situation and the number of demoralised radiologists looking to work less and leave the NHS is even more worrying.

Without staff, patients face longer waits for radiology services and treatment, missing out on crucial early diagnoses and life-saving image-guided surgery.

Why the shortfall?

While the pandemic exacerbated the problem, the radiology shortage isn’t new or unique to radiology.

Other specialty technologists such as ultrasound, radiation therapy, MRI and CT are also reporting staffing shortfalls. Issues such as low pay, extended working hours, an ever-growing workload and outdated IT equipment or poor connectivity are long-standing NHS problems.

Now, the pandemic has worsened a significant challenge, with the potential healthcare workforce exploring new horizons thanks to remote or hybrid working, and shifting life priorities.

Avoid the radiology understaffing domino effect

To address staff shortages, new ways of working are critical. Without more consultants in training, improved staff retention and recruitment, expanding budgets and better staff support, the way things are done must change.

As a result, radiology reporting equipment and technology need to be fit for purpose, up-to-date and ahead of the curve where possible.

Ensuring that diagnosis and reporting are both as accurate and timely as possible is of the utmost importance. Otherwise, we are left with the growing alternative – delays that create a rapid decline in patient care standards. This impacts treatment outcomes and lives, which in turn creates a domino effect of impacts.

It is not just the radiology and healthcare sectors that will be failing in their duty of care. If consultants do not receive the right information, at the right time, they are unable to  diagnose. Meanwhile, relevant supporting staff will be affected by the extra workloads that reporting delays cause. It will ultimately be the patient that suffers, along with all those that depend or surround them: families, businesses, communities, and the economy.

Technology is not a cure for the NHS and radiology, but it can help. AI-powered clinical speech recognition solutions empower practitioners and save time. Cloud-based applications let radiologists, clinicians and healthcare staff report and enter patient data whenever and wherever it’s needed. The right technology helps staff do more in less time, more accurately, and without the location and connectivity constraints of older legacy systems.

Invest in the right speech recognition technology

Speech recognition technology is not new to radiologists. But not everyone has access to the latest benefits that cloud and AI voice-driven clinical SR solutions deliver. Speech recognition has changed in the last 15 years and continues to evolve. Today’s solutions equip radiologists to tackle the heavy lifting of reporting – and address backlogs – while mitigating the increase in reporting demand.

Radiologists need a solution that is future-proof and provides the latest in voice-driven AI. But making this change can be daunting.

As the developers of Augnito, we are a recent newcomer to the health-tech sector, but born with a strong dictation and transcription heritage thanks to our 20-year partnership with the NHS. We have seen the applications and technology that promised to fix clinical documentation backlogs but failed. In many cases, they created bigger problems.

Our advice to customers would be to seek a speech recognition solution that offers simplicity and accuracy.

  • Accuracy: to avoid mistakes and errors in data entry – a solution that understands radiology vocabulary, even when spoken with the strongest of accents.
  • Efficiency: to allow reports to be compiled easily and instantly.
  • Simplicity: to enable the user to ‘speak and report’ – a solution that works out of the box, without the need for typing, copying parts of documents, or sending files for transcription. And a solution that is cloud-based, not needing new versions or upgrades installed locally, and therefore keeping the IT burden low.
  • Costs: that provide scalability and flexibility – a solution that works within departmental budgets without high investment in user training, hardware, software, or infrastructure.
  • Time: to create instant reports, invest in patient care, and invest in the future of radiology – without having to spend hours searching patient records and notes, or contacting technical support to assist with system downtime and workflow issues.

Augnito provides a speech-enabled reporting solution that bolsters the capabilities of radiology teams and lets them be deployed where they are needed the most. Instead of restructuring specialists to cover radiographer or reporting tasks, Augnito allows radiologists to diagnose and report on patient cases directly. This means faster reporting, enriched patient data, and reduced clinical risk.

Radiology staff should feel confident in the technology that is available to support them, so they can deal with the demands of their day-to-day as easily and efficiently as possible. Secure cloud-based speech recognition is the key – and Augnito is a good start.

Sources for research/reference:

https://www.sor.org/news/government-nhs/radiographer-reporting-grows-as-nhs-struggles-with
https://www.carestream.com/blog/2021/10/19/filling-the-gaps-in-radiographer-staffing-shortages/
https://www.rcr.ac.uk/posts/new-rcr-census-shows-nhs-needs-nearly-2000-more-radiologists
https://www.radiologybusiness.com/topics/healthcare-management/healthcare-economics/staff-shortages-causing-stress-among-employees
https://www.ft.com/content/e0a69335-9951-4a97-aa17-f3cb3ce60374
http://www.himaa2.org.au/HIMJ/sites/default/files/HIMJ1410Lepanto.pdf