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PRESS RELEASE – NEC Software Solutions UK acquires Pro-Mapp Ltd

NEC Software Solutions UK completes acquisition of Pro-Mapp Ltd to enhance Health proposition.

October 2025: NEC Software Solutions (NECSWS) has today announced the completion of its acquisition of Pro-Mapp Ltd strengthening its portfolio of cutting-edge technology and support services used by healthcare organisations.

NECSWS provides innovative software and services to healthcare organisations within the UK (NHS), Ireland (HSE) and across the world.  From screening software to services, registries to real world evidence solutions and referral management to user centred design, NEC supports health organisations to refocus resources to where they are needed most and provide key intelligence to improve decision making on the frontline.  

Pro-Mapp Ltd is a leading provider of software designed to support intelligent Waiting List Management and Clinical Experiences through personalised patient pathways.

Lydia Rawlings, executive director for Health at NECSWS, said: “We are incredibly excited to bring Pro-Mapp Ltd into the NECSWS group. This is an exciting next phase for both companies and one that will strengthen the suite of intelligent healthcare solutions we deliver. By working together, NECSWS can further build on the expertise we offer, raise standards of patient care and improve operational performance for healthcare providers.”

Michael Phillips, Founder/CEO at Pro-Mapp Ltd, who joins NECSWS said: “Joining forces with NECSWS is a powerful next step for Pro-Mapp Ltd.   By working within the NECSWS family, we can combine our industry experience with NEC’s extensive reach, cutting-edge capabilities, and national health expertise to develop our products even further. This is an exciting move for Pro-Mapp Ltd and one that will see us develop systems that bring a noticeable difference to our customers globally.”

Tina Whitley, CEO of NECSWS, said: “Welcoming Pro-Mapp Ltd into the NECSWS group brings together two passionate and innovative teams whose collective goal is to deliver customer excellence. This collaboration is an exciting new milestone for NECSWS as we look to reinforce our commitment to cutting-edge health technology and cement our position as global leaders in healthcare.”

For more information on how NEC Software Solutions supports the health sector, visit www.necsws.com.

ENDS    

Press contact:   
To arrange interviews, for further information or images, please contact,    

Stuart Base, Head of Marketing, NEC Software Solutions   
Tel: 07801 959 612 
Stuart.base@necsws.com

About NEC Software Solutions UK  

NEC Software Solutions UK has a proven history of developing innovative software for the public sector. Our ability to put vital information into the hands of those that need it is the reason why more than 50% of local authorities use us to collect revenues and administer benefits. It’s why 16 different police forces have chosen NEC CONNECT software to improve decision making at the frontline, why over 150 housing providers use NEC systems to manage their two million homes efficiently and why the NHS choose our technology to help them screen ten million babies for hearing loss. Based in the UK and working around the world, NEC Software Solutions UK’s 4,000 employees help improve the services that matter most. NEC Software Solutions UK is part of the NEC Corporation (“NEC”, TSE: 6701), a leader in the integration of IT and network technologies that benefit businesses and people worldwide. For more information, visit necsws.com  

 

Our AI impact: personalised patient pathways

This is the second in a series of blogs around PRO-MAPP’s (and the wider healthcare industry’s) actionable uses of AI. You can find the introductory background article here, as well as Part One around waiting list monitoring and management here.

How does a healthcare system achieve ultimate customer satisfaction? These days, it’s achieved through personalising a patient’s journey, from understanding an initial health problem to finding a beneficial solution.

Determining that pathway goes beyond knowing exactly what their symptoms are at that point in time. Instead whole medical histories outline lifestyle choices, personal preferences for treatment, past assessments and surgeries, and everything that providers need to be able to tailor any patient’s care requirements with a personal touch. This personalisation marks a huge difference to make every patient feel thought about; it opens a transparent, comfortable dialogue between them and a healthcare professional from the pathway’s very outset.

But since the arrival of Electronic Medical Records (EMRs), there’s been an overwhelming explosion of data in the healthcare industry for every registered citizen. When you apply that to a nationwide database, such as that of the NHS, it shows the extent of how much personal data is out there. Collating pathways has been a major challenge, and this is where we see a pivotal use case for healthcare AI.

Traditional technology’s insufficient impact

Given today’s potential for advanced data usage, patients have a weight of expectation for the level of bespoke care they receive. Unfortunately this only compounds the difficulty level of operational efficiency faced by the NHS blighted by backlogs and budget constraints.

A streamlined end-to-end clinical workflow per patient comprises resource and task allocations across whole teams. That begins with a clean data repository to make every pathway matter. The trouble with old-school healthcare IT being monolithic systems is not only their large-scale and costly implementations, but their role for storing EMR information still being ineffectual due to siloed and underutilised patient data.

Their lack of flexibility and precision has pervaded as patient backlogs have extended. This is particularly true in the heavy-hit specialism of orthopaedic surgeries; helping complex patients receive pre-habilitation assessment, surgery and post-surgical analysis cries out for real-time data gathering and visualisation. Understanding successes and failures of past surgeries helps clinicians delivery a greater level of service for those in lengthy orthopaedic pathways – and when these insights are collated in nationwide databases, a framework can be applied for better patient outcomes en masse and remove clinic-to-clinic variations.

Surgical evidence offered by AI

The future for standardised pathway success lies in the metrics still, just using speedier automation technology to collect it, and simpler ways to surface and cross-reference each patients’ preferences and health histories immediately. When performance data audits can be collated by AI and housed in a comprehensive database, different arms of the NHS can use such information as a gold standard for orthopaedic surgery pathways.

AI is therefore a boon for registries in its tracking capabilities. It can scan demographics, as well as each patient’s preferences when it comes to each stage of treatment, then segment them for healthcare providers to view when necessary. Particularly when this data is gathered via patient self-reporting, such personalised choices are accurate; in fact, recent studies have shown that patients preferred the empathy and quality of AI-generated social media replies than that of clinicians, identifying the tool’s growing sophistication in increasing satisfaction.

The predictive analytics of AI may feel one of its more alien features. Essentially AI is able to identify potential risks for patients pre-surgery to make sure expectations are laid out upfront, as well as supply directions for seeking further advice, or tweaking lifestyle choices, according to collected medical notes and discharge summaries in post-operative stages. So-called ‘prepared lists’ get automated, ready for trained staff to educate waiting list patients on treatment benefits, risks and alternatives. It limits the operational times spent on producing reports, while laying out accurate predictions for continued care.

PRO-MAPP’s AI journey

Human-led one-to-one care is the ultimate driver of patient satisfaction, and that can be made seamless with administrative tasks eased by AI. PRO-MAPP offers an end-to-end AI-backed solution that enables the design and execution of tailored patient pathways to address high-levels of detail to individual needs:

  • The platform collates eOpNote, Patient-Reported Outcome Measures (PROMs) and barcode scans to craft dynamic dataset visualisations.
  • Our review by the York Health Economics Consortium (YHEC) identified the strength of AI applications in collected self assessments and diagnostics to ensure complex patients receive treatment sooner and ease unnecessary appointment numbers.
  • Complex patients can be determined with an accuracy rating of 98%.
  • AI is able to capture every insight from a surgical workflow in real-time, from resource utilisation to outcome-affecting variables, to offer opportunities for clinical support and pathway improvement.
  • We’ve achieved a target reduction in length of stay of half a day for pre-hab patients, saving £423,500.
  • Our platform has helped increase physiotherapy appointments, adding more than 320 than standard pathways.

AI’s automation is so key for a number of integral changes to improve the NHS. Fast-tracking in-need orthopaedic patients reduces the spend on unnecessary appointments that have stifled the system, and sees the right resources being allocated to the correct surgical practices. More productive healthcare teams are able to make their level of care go further with administrative burdens taken on by AI, and focus on what matters – improving the outcomes and results for patients. A happier health system means happier patients, and AI is marking a turning point in evolving orthopaedic surgery to meet those expectations for advanced care.

Next in the series, we’ll be delving into AI’s speedy adaptability to help health centres conduct same day pre-assessment. To find out more about how PRO-MAPP’s AI use drives personalised patient pathways, get in touch!

Our AI impact: waiting list monitoring and management

This is the first in a series of blogs around PRO-MAPP’s (and the wider healthcare industry’s) actionable uses of AI. You can find the introductory background article here.

Where waiting list management has halted

Most of us have been patients in the hospital waiting room. Whether sitting directly in the lounge for emergency services or being in the backlog for a more intense planned operation, a lot of us unfortunately have tales to tell about waiting times. Some can be horror stories.

In the UK, the National Health Service has carried a huge load; a mountain of intensive human and material resource usage on both critical and non-critical patients. The average GP surgery has more than 2000 registered patients, where any tailored assessments have to account for tests, evaluations, hospital space, and rehabilitation. Orthopaedics are commonly slow due to infamous multiple assessments for a patient’s surgery validity, implant costs and staff training. So much so that the speciality comprises the nation’s longests lists. Hip and knee replacement costs 1.5% of the NHS’ entire budget. There’s also spinal surgery or life-altering trauma cases to think about.

Restricting waiting list bottlenecks and ensuring every urgent matter gets prioritised calls for operational efficiency in triage – basing assessment or event treatment on how urgent a matter is. This has a positive domino effect on secondary or tertiary care freeing up resources for trauma and orthopaedic surgery. Understanding what their issue or condition is, where they should go and who they should see takes time to guarantee that every need is met. Managing such a data-heavy task is where artificial intelligence tools can step in.

Gaining assessments in real-time

Monitoring patients takes into account their health records, past surgeries or assessments, tests, need for surgery, and ideal pathways (what preferred service they expect during their health journey). It’s not that hospitals do not have this data to hand, but legacy technology has been tough to maintain – growing monolithic structures that lose or silo patient data, and misallocate resources or operational plans to staff. There are also inconsistencies between referrals at regional practices, as outlined by the NHS’ Getting It Right First Time initiative.

Managing these queues becomes unfocused and assessing-low risk cases amasses delays that can have a drastic effect on patients: seeking private service, skipping care altogether, depending on opiates to deal with pain, and perhaps worsening their symptoms.

One true supportive behaviour of AI is its swift data-gathering techniques. Any inputs – including patient questionnaires or assessment or surgery notes – can be collated immediately into digitised databases that are simple to find, amend and share. This can flag critical patients to ensure they’re fast-tracked through workflows that can be easily communicated to both clinicians, support staff and patients themselves. In that regard, AI’s unification of data not only supports risk assessment for triage, but boosts satisfaction in exemplary patient outcomes.

AI-driven waiting list monitoring and management has already reaped rewards in making data-backed decisions in a fraction of human time. In Scotland in 2019, automated AI triage was compared to clinician’s valued opinion on referrals for gastroenterology with positive results, including facilitated communication between primary and secondary care. AI triage has also seen a 77.1% acceptance rate among researched medical staff in China.

In trauma cases where fractures or other serious injuries require immediate surgery, these reactive demands require AI to surface pathway data for smooth scheduling and resource allocation for planned elective surgery, even at short notice.

PRO-MAPP’s AI journey

GIRFT is prioritising standardisation as a way to halt unnecessary delays, where integrating this technology on a nationwide scale lies with healthcare providers supported by AI automations, including here at PRO-MAPP:

  • The platform utilises AI for digital scheduling; collating results from patient intake forms to craft an assessment system for nursing staff to coordinate paths for surgery.
  • AI underlines automated patient-reported outcomes, satisfaction surveys, and operative data reporting without the need for dictation.
  • Assessment for surgical readiness can be decreased from around half an hour to 5 minutes, where operative reports can be billed on the same day as service.
  • Through waiting list monitoring and management, we target to reduce lengths of stay for prehabilitation, as well as wasted secondary care appointments, looking to save the NHS over £1.5 million and counting.

Speeding up triage through digital AI tools is not just down to switching telephone questionnaires to online consultations through apps. It’s about putting data input into the patients’ hands, removing the need for unnecessary in-person checks with doctors and prioritising critical patients for surgery or rehabilitation.

Waiting lists are the major operational dilemmas for the NHS – where AI’s help revolves around identifying critical clients and reducing resources of staff costs that take away from efficient orthopaedic surgeries. When those are saved, staff training classes and patient accommodations can be met more suitably which, when rolled out to other institutions, can standardise data collection and usage and reduce the burden of queues all around the nation.

Next in the series, we’ll be delving into AI’s personalisation capabilities to streamline patient pathways. If you’d like to know more about how AI drives our waiting list monitoring and management, contact us today!

4 key healthtech areas PRO-MAPP have impacted through AI

Healthcare systems are consistently under strain, and alleviating cost and resource pressures comes down to efficiency. Improving those workloads has to take into account every single key worker in the system – doctors, nurses, surgeons, and administrative staff in both primary and secondary settings – which is a conundrum better solved through a commodity helping operations in many sectors: data.

Data is everywhere. But its abstract form can be confounding, especially when advanced data usage nowadays brings artificial intelligence into the conversation. If we can even cast our minds back to the pre-AI age, ‘Expert System’ was a similar concept used to code rules (essentially cloning senior staff’s expertise and judgements) which, when applied to a given scenario, would aim to give medical staff repeatable support and success in decision making

As is typical of any new digital invention in fashion-led IT, AI carries the paradox of being an exceptional helper that requires a great deal of explanation to healthcare staff and patients. Its use for the everyday is more commonplace than ever, but most patients may still be put off by receiving recommended treatment from an output-generation machine.

The key idea to reinforce is that AI is a “supporting tool”, not a replacement for the services of expertly-trained doctors, or conscientious experiences carried out by healthcare staff. What we’ve read about AI’s most actionable utility – trawling through millions of datasets in seconds, such as patient records or imagery – can collect relevant high-quality insights and efficacies helping clinical decision-making to better satisfactory patient pathways and outcomes.

From the health professionals’ side, we see many FAQs around the technology and its effects on operational efficiency:

  • Can we use AI enabled solutions safely with our patients and staff?
  • What’s the impact of costs, implementation and (ultimately) patient outcome?
  • How complicated is this to set up, and how quickly do we see the benefits?

These are all valid, and can be answered from PRO-MAPP’s two years of practical usage. When combined with our proven health platform, safe AI can enhance key functions to collect the right data at the right time and provide effective insights and actions for ‘next steps’; rapidly delivering solutions covering monitoring, same-day pre-assessment, and reducing large waiting lists without impacting timelines, IT resources or increasing costs.

We’ve had independent confirmation from the positive impact AI can have, and we’ll be sharing a series of case studies and key learning around how we’ve utilised AI solutions within a NHS environment, including:

Waiting list monitoring and management

Orthopaedics are the NHS’ hardest hit waiting lists for knee or hip replacement surgery. Restricting bottlenecks and ensuring every urgent matter gets prioritised calls for AI-backed operational efficiency in triage. Our targets to reduce lengths of stay for prehabilitation, as well as wasted secondary care appointments, look to save the NHS over £1.5 million and counting.

Personalised pathways

Understanding every care requirement and preference helps tailor experiences to every patient. AI steps in to collect self-reported surveys, medical histories, and grant post-assessment recommendations, where we’ve seen 100% of patients being ‘very satisfied’ or ‘satisfied’ with their new pathways.

Same day pre-assessment

Re-testing and progressive ailments are just two side-effects of fractured pre-assessments affected by the weight of backlogs involving crucial and less-crucial appointments. Streamlining necessary in-person appointments is possible – PRO-MAPP has helped decrease them by 75%, while consultants can see up to three patients in the same time as previous pathways to also save up to 75% in clinical resources.

Additionally, our Pre-Assessment Clinical Triage (PACT) programme with Oxford University Hospitals NHS Foundation Trust (OUH) helped raise identification of surgery-ready patients from 28% to 77%.

Future areas of benefit

Analysis by York Health Economics Consortium (YHEC) has spotted how annual costs per patient can be reduced by £749, and the NHS’ future relies on a larger AI rollout for these personalised, patient-centric care across the nation. Predictive analytics can determine critical patients and identify patterns in nationwide databases: improving care pathways without the operational hurdles of legacy healthcare systems.

We’re always striving at PRO-MAPP to rise to the ‘data challenge’ and improve our platform using this revolutionary technology. Check back soon to see our AI past, present and future across these 4 critical areas.

PRO-MAPP enables renowned surgical practice to achieve 100% in AAOS data audit

PRO-MAPP is pleased to announce that our work with White Fence Surgical Suites assisted their 100% completion for an annual data audit completed by the American Academy of Orthopaedic Surgeons (AAOS). Using this collaborative effort as an example, we hope to set a gold standard for greater practices in orthopaedics, guided by data that is transforming the ways surgeries improve caregiving services for medical practitioners and patients alike.

A background to AAOS audits

The AAOS, founded in 1933, is the United States’ leading provider of musculoskeletal education for orthopaedic surgeons across the world. The Academy has been committed to evolving its Registry Programme – an essential log of accurate, high quality evidence-based data to provide actionable insights for physicians – and has done so by conducting an annual third-party audit for participating centres across the country.

Comprising institutions focused on orthopaedics, the AAOS’ American Joint Replacement Registry (AJRR) membership includes hospitals, ambulatory surgery centers (ASCs) and private practice groups. The keys to quality reporting and practical measurement efforts lies with data – the AJRR’s repository comprises information gathered from over 3 million hip and knee replacement procedures sitewide, systemwide and nationwide, the largest in the world.

In collaboration with Quality Insights, the AJRR has conducted data audits for over a decade, with the average industry standard for data quality reaching 85%.

Paving paths for data accuracy

White Fence Surgical Suites is an ambulatory surgery center based in New Albany, Ohio, whose compliance and performance standards earned the facility the Joint Commission’s Gold Seal of Approval® for Advanced Total Hip and Knee Replacement Certification. With its industry-leading orthopaedics expertise, the center is committed to ensuring the highest quality of patient care, working in conjunction with PRO-MAPP to collect hip and knee procedural data types which, outlined by AJRR, are threefold:

  • Procedural data: related to patients, hospitals, surgeons, and procedures, this including lengths of stay, comorbidities, and complications in operations.
  • Post-operative data: readmissions and information surrounding any complications that arise after surgery.
  • Patient Reported Outcome Measures (PROMs): self-assessment patient data regarding their health status, including mobility, mental attitude, physical functions, and any bodily pain.

Digital transformation is not only streamlining the ways that healthcare providers such as White Fence Surgical Suites gather these categories of data, but also offers greater insight into how to better allocate resources, reduce waiting times and conduct timely and important triage procedures. As leading orthoapaedic surgeon Dr Keith Berend states: “Surgeons and facilities who utilize PRO-MAPP know exactly how efficient and accurate the platform is in our day to day practices. Given PRO-MAPP’s assistance covering time in AR, denials, and RCM accuracy, it’s not so surprising to learn of the AAOS’ 100% score achieved here.”

Considering this latest milestone set by White Fence Surgical Suites, we look forward to putting the Registry’s procedural insights into practice and ensure an innovative future for orthopaedic healthcare. With precise and informative data, the healthcare system can evolve to achieve more satisfactory patient pathways, beneficial to orthopaedic practitioners and those seeking joint replacement surgery.

If you’d like to know more about our work with White Fence Surgical Suites or how the PRO-MAPP platform works, talk to our team today!

Swansea Bay UHB’s collaboration with PRO-MAPP wins Technology and Digital Impact Award

We’re delighted to see our collaboration with Swansea Bay University Health Board recognised for pioneering health technology in the field of pre-operative assessments in Wales. The team took home the Technology and Digital Impact award category at MediWales Innovation Awards, rewarding the efforts of Swansea Bay UHB and PRO-MAPP’s Orthopaedic Waiting List Initiative (OWLi). 

This brief video outlines the basis of the OWLi project, and how it relates to the award nomination. Here’s more background details about our partnership, and why we’re aiming to better pathways for orthopaedic care in Wales and beyond with our digital platform.

Credit: M Horwood / MediWales

Our collaborative approach

Planned care waiting lists have grown exponentially since the covid-19 pandemic – none more so that for trauma and orthopaedics. When patients stay on waiting lists longer, their health, and especially mobility with T&O conditions, declines and the lives of their families can be impacted. The cost on primary services may also increase, where the health economics has a direct impact on those patients being fit for the planned procedure.

To remedy this heavy operational workload on healthcare staff (and therefore speedy up pathways for patients), digital platforms are better using data to fast track those most in need of surgery, and to tailor prehabilitation support for every patient. 

Monitoring patient health prior to surgery is key and undertaken by Swansea Bay UHB’s orthopaedics team, in collaboration with PRO-MAPP’s customisable digital solution. With the interactive platform, patients in waiting lists are able to self-report their health symptoms. With AI technology, the solution is able to profile then tailor pre-habilitation support services for patients, and recognises those with underlying health conditions that may require further treatment elsewhere. This ongoing process of monitoring and management assists both the patient and the Health Board/Trust, as patients can ensure that they are ready for their procedure, which has a positive mental impact and sets their expectations.

The results to date

The platform has been delivering for over two years where more than 3500 patients have been onboarded to benefit from its data-led insights. Already, those with significant conditions have been identified and supported to improve their health and halt the possibility of failed pre-operative assessments. 

Over 200 patients identified as having a significantly high body mass index (BMI) have been triaged to specialist Prehabilitation AHP weight management services. 200 smokers have been flagged and referred to shared cessation support. More than 400 patients with pre-existing health conditions requiring new blood tests were alerted to update them prior to pre assessment, where these patients would have attended and failed pre-operative assessment otherwise. The clear benefits of this intelligent approach to waiting list management means that the platform and process is being looked at for other specialities

Charting our next steps

It is critical in a digital strategy to leverage and maximise the utility of the data, and the self-reported data within OWLi is checked regularly to enhance profiling and the accuracy of the analysis. 

OWLi has collated complex comorbidity and anaesthesia data on patients, and is now delivering these results in the correct format (including RAG – Red, Amber and Green) to each team to review patients and their planned care accordingly. The countdown to pre-assessment is vital in planning RAG clinics to maximise patient flow and saving costs.

Working with Planned Care teams is also paramount to update waiting lists with relevant information, including care changes or whether a procedure was carried out privately. PRO-MAPP’s platform has the ability to adapt quickly, and deliver these beneficial services to teams that can ensure each patient is as fit and prepared for their procedure as possible. 

About MediWales

The MediWales Innovation Awards are regional and divided into Industry Awards and Health Awards, open to applications from companies operating in (or with a footprint in) Wales.

2024 saw its nineteenth edition. Learn more about all of the category winners on the MediWales website.

 

Assessing the long-term healthcare plans of the Get Britain Working scheme

On 26th November 2024, the UK government announced their Get Britain Working scheme, a £240 million investment to determine and fix unemployment rates and economic inactivity across the country. As part of this initiative, introduced by the Department for Work and Pensions (DWP) Secretary Liz Kendall, the government aims to up-skill healthcare efforts and provide fiscal resources and support for young people and other working-age people unemployed due to long-term illness. 

As Kendall says, “a healthy nation and a healthy economy are two sides of the same coin.” As part of its mission to get around 2 million more people into work and raise employment levels to 80%, the government looks to address waiting lists backlogs that have risen, especially since the covid-19 pandemic. 

There may be a link between long waiting lists and employment levels, considering the number of incomplete pathways NHS England experiences. But cutting down queues is just the tip of an iceberg to alleviate the healthcare system’s range of burdens, and the government will also place an emphasis on preventative care, too, as surgery cannot be the cure for every medical specialism.

A snapshot of statistics

Two of the largest contributors to health-related inactivity and economic decline are mental health and musculoskeletal (MSK) disorders, including neck and back pain, as shown in the data outlined in the scheme’s accompanying white paper:

 

  • > Almost 3 million people are currently not working due to long-term illness – which may or may not be attributed to Covid-related cases.
  •  
  • > 4.1 million employed people also suffer from conditions that can hinder their working ability, which has risen by 300,000 in the last year alone.
  •  
  • > More than 50% of people that are economically inactive due to long-term defects are aged between 50-64, also affecting the lives of families and friends as unpaid carers. 
  •  
  • > The past decade has seen a fourfold increase in 16 to 34 year olds that identify their mental health as the main limiting factor to being able to work – the leading health condition for people aged up to 44 years old.
  • > 40,000 people aged 50 to 64 attributed long-term illnesses to MSK conditions between 2019 and 2022.
  •  
  • > A reported 1 million people are signed off from work due to MSK issues according to the Office for National Statistics, with hundreds of thousands more in backlogs for appointments in England. 
  •  
  • > 33% of working age citizens (not retired) who were out of work were also on NHS waiting lists. This is compared to 19% that were employed or self-employed.

This paints a worrying picture for how a rise in serious conditions contributes to the nation’s ability to work, and in tandem places a huge deficit on a stretched NHS. This also does not take into account several other contributing factors such as orthopaedic revisions surgeries, cancer treatment, or cardiovascular diseases. 

This is why the Get Britain Working plan to get more people back into work that are currently off sick relies so heavily on NHS funding and supportive efforts, from “crack teams” to facilitate high-intensity surgical efforts to shifting to preventative methods that can save future waiting list numbers from increasing again.

The plan in action

Aims at restoring the effects of long-term sickness will soon be underway, with the government taking action fast. Funds have been introduced to cut waiting lists at the 20 NHS trusts experiencing the highest economic inactivity levels. 2025/25 also will see the Department of Health and Social Care (DHSC) receiving £22.6 billion in funds, with a pledged 40,000 elective appointments intended to be added into the NHS alongside 8,500 additional mental health staff.

  • These added resources look to get patients critical appointments more quickly, in a bid to return to the NHS’ standards that 92% of patients should not wait longer than 17 weeks after referral to be treated. In the case of lengthy waiting queues for MSK conditions, a programme involving multiple governmental departments looks to remedy this with an MSL Community Delivery Programme. This cooperative approach is a major contributor to successful healthcare reforms, and here involves the DHSC and teams from NHS England’s Getting It Right First Time programme – a methodology for improving standardised patient pathways through the analysis of benchmarked national data. 

A key advantage of tracking and gathering data from patient outcomes in local areas involves seeing where operational improvements can be made against more successfully cost-effective models. Local populations can benefit from shared pathway intel to design future healthcare programmes accordingly. Community services will not only feel empowered to support hospitals with high areas of waiting times, but regional focuses on employment services can help young people and inactive workers affected by long-term mental and physical health conditions back into work. And, with greater digital methods for early intervention, preventing another surge of backlogs will be possible down the line. 

It’s early days since the DWP’s plans were unveiled, but it points towards positive steps in addressing key challenges faced by the NHS, mostly huge incomplete pathways for those in dire need of treatment and the resulting economic ramifications. We’ll await further actions to see how the initiative is going in the near future.

Why orthopaedic revisions surgeries benefit from systematic data collection

Improving patient outcomes is always a priority for revolutionising healthcare. Enhanced resource allocation, streamlined assessments, testings and surgeries, and better staff recruitment can all contribute to speedier times towards treatment. Informing the way that we improve these factors is data. 

A digital overhaul regarding reporting and scheduling is finally being honed by major healthcare providers around the world, and analysis of historical surgeries can grant pivotal insights into improving how they can be conducted more effectively in the future. This is especially crucial for revisions, whereby orthopaedic professionals look to correct or re-do previous surgeries. 

With a comprehensive revisions database as a north star for orthopaedic surgeons, the standardisation of better patient pathways may be possible. Here’s why.

The projected demand for revision surgeries

One of the main contributors to revision surgery becoming more prevalent is an ageing population. By 2050, the UN Department of Economic and Social Affairs predicts that 25% of the world’s population (2.1 billion) will be 60 years or older. That’s double the number from 2024. Those in elderly age categories are more susceptible to musculoskeletal disorders – osteoarthritis, fracture, degenerative diseases etc. – which greatly increases the numbers of revision surgeries to recorrect patient outcomes. 

With that comes a growing weight on the global healthcare system to accommodate those needing revision surgeries. It stretches staff and medical supplies, as well as the efficiency between early appointments and final surgery dates (as well as long recovery times that can limit hospital bed capacity). Being able to optimise the operations of hospitals, care centres and more – and to enhance the personalised pathways for each individual patient in need – takes closer readings into the success and failures of past surgeries, all gathered by advanced technologies for data gathering and analysis. 

The helpers and hindrances to revisions

On the one hand, advancements in orthopaedic devices are facilitating more successful revision surgeries, resulting in tangible data that can be assessed to reduce complications in future revisions and impact the successes of rehabilitation, too. Robotics are a driving force assisting surgeons with innovative, precise procedural techniques. Bioactive materials and 3D-printed implants contribute to anatomical fit joint replacements, with these patient-specific implants can be created off the back of MRIs and CT scans. 

Unfortunately, what holds back the use of medical technologies are strict regulations around their approval. Rigorous testing has to take place before any new devices hit the general market, while their ongoing safety standards for post-surgery have to be continuously monitored.

Key revisions innovations offered by data

Luckily, data collection offers lifelines to get approvals underway, address regulatory hurdles and stop delays in the manufacture of such devices in orthopaedic revisions. And that’s just the start:

  • Speeding up time-to-market: empirical evidence (in this case, clinical data) can showcase the safety and efficacy of innovative new products, justifying the credibility of manufacturers for any submissions to regulators and making them more readily available for surgeries.
  • Enhanced product creation: these unique evidence-based factors can also determine the development of bespoke products better suited to individual patient needs. Joint reconstruction, and spinal and trauma implants hold significant market share.
  • Pinpoint revision outcomes: researchers are able to gain high-quality insights into revision surgeries, including any failures around infection, pain points or instability. From here, they can better refine surgical procedures and raise care standards through following a comprehensively constructed framework.
  • Using registries to assess trends: datasets can track demographics of patients, as well as their pre- and post-operative conditions over time which, when available through a registry, can signal risks associated with certain segments of patients undergoing treatment.
  • Assessing minimally invasive procedures: detailed data helps compare the long-term outcomes between emerging and traditional practices in regards to complication rate, impact recovery lengths, and patient comfort, advancing the evolution of revision surgeries.
  • Effects on insurance: through accurate data collection for revisions, it’s easier to showcase cost-effectiveness and patient satisfaction. In turn, this can persuade insurers to reconsider their policies by highlighting benefits for more timely treatment (or, indeed, the dangers or prolonging it). With insurers more agreeable, much-needed procedures can be conducted without significant financial burdens. 

Driving consistent improvements to patient outcomes

Data collected from historical revision surgeries is far from stationary; instead, it is directly actionable to have positive knock-on effects for patients requiring replacement surgery and any post-operative rehabilitation throughout their pathway.

When best practices are established through documented data that assesses the pros and cons of procedural operations, the next step encouraged by orthopaedics is an establishment of a revisions database. Multiple registries, when cross-referenced across the industry, can help benchmark patient outcomes and aspects of post-revision surgery. With tried-and-tested improvements noted for revisions solutions, the field can compile stringent standards. 

The orthopaedics speciality, while suffering tough waiting list backlogs due to the appetite for surgery, ageing patients, and the pandemic, is continuously improving. Gaps in knowledge around much-needed revisions are currently being researched and revised, but with a constant reiteration of the most successful capabilities (as shown through data collection) the satisfaction levels for practitioners and patients alike.

The need for improved pathways: an evaluation of 2024’s NHS waiting list statistics

Waiting times for healthcare services in the UK shine a rather worrying light on the difficulty faced by the NHS. The metrics act as a key gauge to determine when, and why, healthcare delivery has become far more stretched. Notably of course, the covid-19 pandemic was detrimental to how critical appointments and surgeries could be conducted, with the influx of ill patients straining NHS England (NHSE) staff to the brink.

In the past decade, waiting list times have doubled. Pre-2020, the number of ‘incomplete pathways’ for patients stood at 2.3 million. As of early 2024, it’s an astonishing 7.64 million cases. This is a significant figure that demands a rethink to improve nationwide NHS operations, resource allocation, pre-assessment triage, and data-led technical training to ensure a positive uptick in the quality of patient and staff satisfaction, and timely access to care.

The short and long term impacts

Over 6 million patients are determined to be in a queue awaiting treatment, and this affects both patients waiting for immediate care and those facing substantial delays for planned appointments.

Urgent and emergency care

At the start of the year, on average, 1,760 patients seeking to see doctors and nurses in accident and emergency departments were waiting for more than twelve hours for admissions. With timely intervention necessary to see to these individual situations can be significantly life-threatening, inefficient patient pathways only contribute to poor knock-on effects for every new admission.

Longer appointment lists

Many services are burdened by unnecessary repeat testing and face-to-face appointments that could be handled over the phone for non-urgent issues. These inefficiencies significantly contribute to long waiting times for patients, often delaying access to life-changing surgical procedures. In July of this year, 76,132 patients waited over 53 weeks just for an initial outpatient appointment—a clear indication of the challenges in accessing even primary care. As waiting times increase, patients’ health conditions can deteriorate, leading to more frequent retesting (as prior tests expire), which only worsens the backlog and further extends queues.

As part of the NHS Long Term Plan community health services are offering complex health care solutions outside of hospitals – at houses, care homes, clinics, community hospitals and schools. As a result of changes in guidance and operations for service delivery, they have also experienced a waiting list increase for over a million patients indicative of continual reform to mitigate the hurdles that affect accessible healthcare.

The most burdened specialities

One of the largest concerns surrounding waiting times are the experiences of cancer patients, all of whom experience high variations in their pathway expectations; as reported in August, 69.2% of cancer patients were treated within 62 days of being referred.

Waiting times in the NHS for orthopaedics, and especially trauma and orthopaedics, have been a significant issue, particularly since the COVID-19 pandemic. It is now the specialty with the longest waiting times, having seen a 35% surge in its waiting lists.

By March 2024, over 800,000 patients were in line for orthopaedic procedures. In part, these backlogs are due to a combination of the healthcare system’s stretched resources, postponed surgeries during the pandemic, a sharp increase in referrals and, in some cases, limited funding. While the NHS aims to treat all patients within 18 weeks of referral, these compounding factors make this target increasingly challenging for orthopaedics.

Orthopaedic surgeries can be major procedures involving lengthy recovery times and require extensive post-operative care that can further strain hospital resources. Conditions requiring orthopaedic intervention – such as hip or knee replacements, spinal surgeries, and complex trauma cases – demand significant surgical time and specialised care that tend to have longer waiting times over interventions that are less resource-intensive.Trauma and orthopaedics also receive increased emergency referrals for acute injuries. This complicates scheduling for elective surgeries, while a high volume of both elective and emergency cases only causes further delays for patients awaiting treatment.

These delays vary across the UK. Some hospitals face longer queues than others due to regional demand, the availability of orthopaedic consultants, or operational capacity. As NHS facilities prioritise those with the most urgent needs, many orthopaedic patients face prolonged wait times, impacting their quality of life and, sometimes, the progression of their conditions.

In addition to the pandemic’s impact, several other factors contribute to delays in orthopaedic waiting times in line with NHSE and Getting It Right First Time (GIRFT) insights, as follows:

  1. Workforce Shortages: A shortage of orthopaedic consultants, anaesthetists, and specialist nursing staff is a prominent challenge identified by the NHSE and GIRFT. Recruiting and retaining healthcare professionals in the field is challenging, while the demand for highly trained specialists is high. A staffing gap limits the NHS’s ability to meet patient demand, especially given the intensity of support required during and after orthopaedic surgeries.
  2. Operating Theatre and Bed Capacity: NHSE and GIRFT emphasise the importance of adequate infrastructure, but many NHS hospitals face limitations in operating theatre and inpatient bed availability, restricting their capacity to perform the necessary volume of orthopaedic surgeries. Trauma and orthopaedics require dedicated theatre time and inpatient beds, which are often unavailable due to competing priorities across specialties. As a result, even if a hospital has adequate staff, it may lack the physical resources to treat all patients in a timely manner.
  3. High Volume of Emergency Cases: Trauma cases, such as fractures and other serious injuries, are often life-altering and require immediate intervention, frequently taking priority over elective orthopaedic surgeries. This reactive demand complicates scheduling and can divert resources for planned elective surgery at short notice. GIRFT has highlighted the need to better separate emergency and elective care separation, which could help streamline orthopaedic pathways while requiring further resources.
  4. Inefficiencies in Referral Pathways and Care Coordination: Pointed out by GIRFT, variations in referral practices across regions – combined with inconsistencies in patient management from primary to tertiary care – can result in unnecessary delays. Patients might be referred back and forth between departments or to external clinics without a clear, coordinated pathway. Standardising and integrating these pathways is a GIRFT priority; streamlined processes could reduce unnecessary delays and provide patients with faster access to treatment.
  5. Demand Outpacing Capacity: An ageing population with an increasing prevalence of degenerative conditions (such as osteoarthritis) has driven up demand for orthopaedic procedures. As this often outpaces available resources and capacity, this leads to longer waiting lists. GIRFT and NHSE recognise the importance of population health management and early intervention initiatives to alleviate some of this demand, but these are long-term solutions that require time and investment.

Both NHSE and GIRFT are focusing on initiatives such as prioritising high-demand areas, and optimising scheduling and theatre efficiency, but until these changes are fully realised trauma and orthopaedics will likely continue to experience longer wait times than other specialties.

Eyes, and policies, on the future

As discussed, non-urgent assessment (led by consultants) has an enforced maximum waiting time of 18 weeks (per NHS constitution), all in a bid to see more patients in immediate need of medical treatment. Given this year’s hefty figures on waiting lists, this cap remains flexible to regular re-evaluations, making sure service quality is incrementally improved to keep up with treatment demand.

As we reach the end of 2024, there’s a brighter outlook given that waiting list projections see numbers dropping below 7.2 million before 2025. Much of this is due to innovations in how caregivers can be more efficient through each stage of a personalised patient pathway; where reporting, operations and resource allocation is streamlined to sustain continuous and speedy patient support. With healthtech providers and policy makers looking to support the NHS’ continuous improvement through standardised practice and nationwide analytical data, waiting list times should hopefully reduce across a range of areas.

The urgency to act has been taken seriously as we exit out of the pandemic’s most difficult hold on NHS services. Collaborations involving digital providers, clinicians, consultants and NHS programmes are leading the way to maintain a more patient-centric healthcare system. By regaining stability, the UK service can grant better outcomes for both hardworking NHS staff and the patients that they serve.

Standardising workflows and ‘Getting It Right First Time’: an overview of GIRFT

Backed by a range of Royal Colleges and professional associations, the Getting It Right First Time (GIRFT) initiative is part of a suite of programmes developed by NHS England. Bringing together powerful data analysis and reviews, it aims to enable healthcare services to improve patient care and pathways across the nation. 

Let’s dive in to learn more about its origins, plans, and performance up to this point, as well as looking ahead to its potential future. 

GIRFT’s original aims

GIRFT was originally conceived as a pilot methodology for reviewing orthopaedic surgery specialties by Professor Tim Briggs, with its landmark 2015 report coining the term. The research was hosted by the Royal National Orthopaedic Hospital NHS Trust (RNOH) and funded by NHS England. After his team covered more than 140 providers in over 200 hospitals, the subsequent programme (as we know it now) was launched in 2016.

The scheme aims to achieve standardisation for delivering quality patient care across NHS healthcare facilities. Often, clinical practice from site to site can differ greatly, affecting the efficiency of teams, their use of crucial resources, and the level of service they can deliver for patients already experiencing lengthy waiting times for orthopaedic assessments and surgeries.

GIRFT’s greater impact can be felt following the pandemic – a catastrophic incident for patients and NHS staff that faced a battleground each day. Covid-19’s ripple effect has unfortunately seen long physical queues for appointments, but GIRFT’s strategy places staff wellbeing and satisfaction as a high priority, acknowledging the dedication and mental health of key roles at NHS hospitals.

How does it work?

1.Making the most of data

    To outline any discrepancies in operations across the country, GIRFT gathers and analyses national data in line with the methodology’s own benchmarking framework. Different arms of the NHS can compare their performance data against both regional or national standards; this allows them to gain empirical metric-backed evidence to inform the effectiveness of their clinical practice in adhering to patients. 

    2.Teamwork

      Using the combined expertise and support of clinicians and management teams at various NHS trusts, the GIRFT’s recommendations can be put into practice and reiterated to determine the actionable, physical changes to healthcare services beyond the data insights. By encouraging meetings among practitioners, as well as data-gathering exercises and continuous learning, this hopes to rollout more standardised patient pathways no longer marred by diminishing variations. This alliance can contribute to the continual improvement of using GIRFT’s findings to foster better outcomes not just at one institution, but many. 

      3.Strategic plans

        Designated ‘enhanced care’ areas have been established to provide flexible support to those requiring post-operative care. The scheme aims to improve patient management for a range of diverse clinical care scenarios, where appropriate and timely intervention can be applied to meet various degrees of clinical needs. 

        The results (so far)

        The flag posts for better pre-operative assessments include reduced repeated testing, the removal of unnecessary face-to-face appointments, and fast-tracking high risk patients that urgently need to be seen by medical professionals. Plus, when resources and staff hours are implemented accordingly for the right tasks, it can have dramatic cost impacts for an NHS that is unfortunately facing financial burden.

        Initial findings have seen that, particularly within orthopaedics, hospital trusts that have used GIRST’s assessments have saved outgoings ranging between £20 million to £30 million. 

        With greater uptake and collaboration involving other specialised trusts, these reductions look set to become more widespread for financial sustainability across the UK. In order to cover more surgical disciplines, GIRFT released 18 additional national documents in 2024 to analyse current procedures, and recommend improvements to deliver quality treatment to NHS patients. 

        Looking to the future

        The environment for effective patient management has certainly improved through the GIRFT programme, and the post-pandemic era serves as a greater opportunity to be ambitious in getting more NHS trusts on board. 

        The initiative is constantly evolving as surgeries leverage the national data to hand and cross-collaborate to achieve a more effective ecosystem. With uniform pathways, not only can post-operative operations be smoothed for significant cost reduction, but staff and patient satisfaction can be essentially lifted too, revolutionising the running of a stretched NHS.

        PRO-MAPP is pleased to have been chosen in GIRFT’s research as a vendor contributing to optimise patient pathways through our Pre-Assessment Clinic Triage product. Discover the full guide here, and chat to us to learn more about our inclusion.