How could a New Urgency to Modernise Clinical Audit Help in the NHS?

Opinion Article by Mark Pridmore, Head of Strategy, CaseCapture.
NHS teams are under pressure. Could modern digital approaches to clinical audit be a quick win to help relieve just some of the burden? Could organisations better understand performance at such busy times? And could compliance with new CQUINs be supported in the process?

A glance at the mainstream media headlines on almost any day in recent months is enough to get an idea of the demands facing many thousands of people working in the NHS.

Whether they are dealing with growing backlogs, emergency handovers, a workforce crisis, or pressures that remain from flu and Covid, to name just a few challenges, NHS professionals are probably under the most pressure they have ever faced.

Yet 2023 has already been a year where a significant number of people have taken their important time to speak to me about clinical audit, which it appears many want to modernise with urgency.

Placing clinical audit on the digital agenda

One manager I spoke to told me how a team of five people were needed to try to extract insights from spreadsheets used to record clinical audits.

It is probably not an uncommon scenario. Digitisation is a key priority in the NHS for good reasons. For clinical audit - a crucial process used to understand clinical performance and the quality of services provided to patients - the digitisation picture is mixed. A significant amount of healthcare providers rely on spreadsheets, both to generate and interrogate data. This process can be manually intensive - both for frontline teams inputting data, and for anyone trying to understand what the data is telling them.

My recent conversations suggest that many want to change this situation with urgency and more consistently make clinical audit part of the digitisation agenda. They want to follow the example set by colleagues in hospitals where clinical audit is captured through more modern digital tools as standard, tools specifically built for the task like CaseCapture. Many clinicians are already familiar with this platform, as it underpins prominent national audits managed by royal colleges and others.

Addressing pressure

The reasons for change now are significant. People want to help to reduce some of the stresses faced by frontline teams who simply don’t have time to manage cumbersome spreadsheets; and to provide those teams with mobile easier to use alternatives. And they want to address the need for quality, reliable and relevant data, in order to highlight where quality improvement is needed, where safety concerns might exist, and where service transformation might progress. In addition, investment in these tools, which are inexpensive, could lead to speedy financial returns whilst helping to release time to care. The argument is compelling as a quick win for helping extremely busy people, and addressing what might sometimes be an overlooked digital opportunity.

NHS organisations carry out many audits. Some are compulsory and help to inform national understanding of specific services. But other locally led audits are about more than meeting data requirements for central bodies. They can show organisations at a local and granular level opportunities to improve their services for the better, to create efficiencies, and to monitor compliance with clinical best practice. As one audit manager recently told me - they are an opportunity to measure things that can make all the difference for patients.

With the right technology supporting easier and more impactful ways of capturing and analysing data, audit could help in other ways too.

Help with CQUINs?

The early weeks of 2023 saw NHS England release new guidance around Commissioning for Quality and Innovation (CQUIN) indicators and metrics. In the document 17 CQUINS set out priority areas, where NHS England expects to see improvement in the next year. This includes everything from CQUINS designed to reduce pressure ulcers, through to metrics and indicators around malnutrition, or the diagnosis and treatment of lower leg wounds, for example.

CQUINs form part of the method for calculating annual payments for NHS trusts - and so measuring compliance has both clinical and financial implications for healthcare providers.

Data required for performance against some of the CQUINS is already likely to be covered by existing national data reporting requirements. However, NHS England also makes clear that for others, local data is required.

Effective audit systems could help in the collection of data, and potentially could make that data even more valuable locally.

Supporting quality care and efficiency

Clinical audit is fundamentally about delivering efficient and quality healthcare. But the process itself doesn't need to be a burden. The technology exists to make audit easier and more meaningful, especially for the busy people keeping our health service running.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

To be Happier, Take a Vacation... from Y…

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds...

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...