GPs Alerted 5 Million Times in the Last Year to Recommend Self-Care Rather than Write a Prescription

First DatabankGPs and other prescribers have been prompted more than 5 million times in the last 12 months to encourage patients to take action to look after themselves, rather than relying on medication from their doctor.

A national analysis of how practices in two thirds of England’s CCGs use a prescribing decision support technology called OptimiseRx found that thousands of professionals had been acting on the alerts, helping prescribers to comply with self-care prescribing guidelines from NHS England. Published in April 2018, the guidance recommends that practices should promote self-care when appropriate to reduce costs, discouraging prescriptions for medications such as vitamin and mineral supplements, antifungal treatments, and laxatives for minor illnesses.

The news follows the finding last year that GPs across the country had saved at least £100m by responding to alerts to prescribe alternative and lower cost medicines for patients.

The technology works in practice by enabling the presentation of NHS prescribing guidance and alerting GPs,at the point of prescribing, in their existing clinical IT system when over counter medicines should not be routinely prescribed, and where self-care is more appropriate.

Analysis conducted between April 2018 to the end of March 2019 showed that5 million such alerts were sent to prescribers, resulting in avoided costs to the NHS of over £10 million. This is helping to achieve NHS Long Term Plan ambitions of reducing prescribing costs by more than £200m a year and is helping to tackle wider national priorities such as over-prescribing.

NHS England’s 2018 guidance also looked to reduce the use of medications with limited clinical evidence, such as probiotics. It also highlighted NHS England-funded medicines that should be referred to secondary care, for conditions including cancer and cystic fibrosis, which are not to be prescribed in primary care. By using OptimiseRx to comply with the guidance, GPs have in total saved more than £10m in the last year alone.

The technology has traditionally been used to help GPs make decisions that comply with local and national prescribing priorities. This includes alerting doctors when more cost-effective alternatives are available, and by providing patient-specific prescribing recommendations based on the patient’s record.

Darren Nichols, Managing Director, FDB comments: "By working with practices across the country, we recognise the need for accurate, actionable information when prescribing decisions are being made. Using technology to remind GPs of ever evolving prescribing policy, including that around self-care and appropriate medication decisions, and ensuring that this is patient-specific, means that practice prescribers can rapidly access information that is appropriate for their patients. They can then make informed prescribing decisions that benefit the patient and the practice.From just one year's worth of data, we can see the tremendous impact that such information can have."

NHS England’s 2018 guidance can be found at https://www.england.nhs.uk/medicines/conditions-for-which-over-the-counter-items-should-not-routinely-be-prescribed/

About FDB

FDB (First Databank), part of the Hearst Health network, is the leading provider of drug knowledge that helps healthcare professionals make precise decisions. With thousands of customers worldwide, FDB enables our information system developer partners to deliver valuable, useful, and differentiated solutions. We offer four decades of experience in transforming medical knowledge into actionable, targeted, and effective solutions that help improve patient safety, operational efficiency, and healthcare outcomes.

About FDB OptimiseRx

FDB OptimiseRx®is the leading medicines optimisation solution for primary care in the UK. OptimiseRx combines evidence-based best practice, safety and cost-effective prescribing messages, and delivers them in real time at the point of care during the prescribing workflow.

Used across more than 60% of NHS Clinical Commissioning Groups (CCGs) and Health Boards and thousands of GP practices, OptimiseRx is trusted and valued by prescribers. OptimiseRx is the only solution that delivers patient-specific prescribing guidance, integrated with prescribing workflows, supporting medicines optimisation at the point of care in EMIS Web, TPP SystmOne and Microtest Evolution. Tailored to the patient medical record, OptimiseRx takes into consideration current and previous medications, morbidities, observations and measurements to support prescribers to make the safest, most clinically appropriate prescribing decision.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...