New Tool to Monitor Flu Rates Across the UK

EMISAs the winter flu outbreak continues to spread, GPs now have a new resource to call on - a web portal that allows them to compare their own flu rates and vaccination uptake with national levels.

The QFeedback Portal (http://www.qsurveillance.org/QSurveillance/QFeedback.html) is a free tool just launched by the QSurveillance® primary care tracking database. It will be rolled out over the coming months to the 3,400 GPs using EMIS systems who contribute anonymous patient data to the monitoring service.

The portal allows participating practices to log in and view their own data on flu and other diseases such as cancer and heart disease, as well as vaccinations, and compare it with anonymised practices in their local area and across the UK.

It also allows comparisons with practices with a similar population. Data can be visualised as graphs, maps or tables.

Dr Arun Aggarwal is a GP at the Rainbow Surgery near Huntingdon, Cambridgeshire - one of the first 100 practices to trial the QFeedback service. He said: "This is a brilliant resource. I found it very quick and easy to use and the results have been very thought-provoking for our practice.

"As well as giving us an insight into our own incidence of seasonal problems such as flu, it will also enable us to compare how we are doing on longer-term issues such as heart disease, and concentrate our resources where they are most needed."

QFeedback is a new development from the QSurveillance® project, which has arisen from QResearch®, a not-for-profit partnership between leading GP systems supplier EMIS and the University of Nottingham.

Dr Julia Hippisley-Cox, Professor of Clinical Epidemiology and General Practice at Nottingham University and co-founder of QSurveillance ®, said: "QFeedback is a powerful tool that will allow practices to see how they measure up against others with a similar demographic, and also nationally.

"It will be of enormous value in gauging levels of infectious diseases such as flu very quickly to allow local health services to respond speedily and ensure patients get the best possible care."

Sean Riddell, Chief Executive of EMIS, said: "We are very grateful to the EMIS practices that contribute data to QSurveillance®, and pleased that we are now able to give them something in return to help them to better plan their services to patients.

"I hope the addition of this new tool will encourage more practices to contribute to the database."

QSurveillance® automatically collects anonymous patient data from GP surgeries across the UK on a daily basis, providing a real-time picture of the prevalence of diseases and vaccination uptake.

Related news articles:

About QSurveillance®
QSurveillance® (www.qsurveillance.org) is a real time clinical surveillance system based on data from 3,400 EMIS general practices - representing 23 million patients - throughout the UK. It forms a critical part of the UK emergency response to pandemic flu, natural and chemical disasters.

QSurveillance® has arisen from QResearch®, a not-for-profit venture run by the University of Nottingham in collaboration with EMIS, the UK’s leading provider of software and related services to GPs.

About EMIS
Established in 1987, EMIS* (Egton Medical Information Systems Ltd) is the UK's leading supplier of software and related services to GP practices. As at 18 October 2010, 53.7% of GPs in the UK use an EMIS system. www.emis-online.com

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...