Digital Pen Shortens Breast Screening Waiting List in France

Anoto Group ABAnoto Digital Pen & Paper technology has helped reduce waiting lists for breast cancer screening in France by significantly shortening the time it takes to analyse mammograms. Normal turnaround times of up to three hours were reduced to less than 30 minutes. This means that breast cancer screening centres using the digital pen will be ready for the second stage of France's national 'Plan Cancer' programme, set to start early in 2008.

As part of the 'Plan Cancer' programme, all French women between the age of 50 and 75 are offered mammography every two years. According to French law, the screening result has to be interpreted twice: once by the examining radiologist and then by a second expert. The expert reviews the examining radiologist's notes and scrutinizes the mammogram, using the digital pen and special paper. The pen remembers what is written or drawn, and this data is transmitted back to a PC or back-end server where character recognition is performed on it.

This procedure used to be performed by administrative staff without any medical training, and was prone to errors - a risk that has been virtually eliminated by the use of Digital Pen & Paper (DPP). A visual check of the digital forms is now only required in less than five per cent of cases, giving the DPP-based solution an accuracy of more than 95 per cent.

Faster processing of the results means that screening centres can meet the legal requirement of sending out results within two weeks of the examination, and schedule new appointments more quickly.

One of the health centres that has implemented DPP technology is in the French Département of Haute Garonne. Its medical co-ordinator, Dr Lepec, commented: "For us, the time reduction that the digital technology has brought us means that we can initiate the new screening programme earlier. After 15 months' experience of Anoto’s technology, the data transfer has become almost 100 per cent reliable. No working routines have been changed and the system has been functioning without interruption."

The digital pen is now used in 12 of France's 90 Départements. This year alone, around 200,000 mammograms have been performed with the help of Anoto's DPP technology in France. On average, each Département runs 30,000 breast cancer scans every year. The long-term objective is to equip the 45 Départements who perform the most scans with DPP technology.

Related news article:
Healthcare Digital Pen and Paper Technology

About Digital Pen & Paper technology
The Digital Pen & Paper (DPP) solution has been developed by Forms Management Systems (FMS), based on Anoto's technology. It is integrated with the NeoScope information transfer software from EpiConcept. The digital pen looks and feels like a normal ballpoint pen. It contains an integrated digital camera and uses a USB or Bluetooth connection for fixed or wireless transfer. The digital camera enables users to capture, store and securely transfer data, using special dotted paper. Almost invisible to the naked eye, the Anoto pattern on the paper consists of numerous intelligent black dots that can be read by the digital pen. The pattern indicates the digital pen’s exact position. Moreover, the pattern on each paper sheet is unique, enabling the sheets to be separated from one another.

About Anoto Group AB
Anoto Group is the company behind and world leading in the unique technology for digital pen and paper, which enables fast and reliable transmission of handwritten text into a digital format. Anoto operates through a global partner network that focuses on user-friendly forms solutions for efficient capture, transmission and storage of data within different business segments, e.g. healthcare, bank and finance, transport and logistics and education. The Anoto Group has around 100 employees, offices in Lund (head office), Boston and Tokyo. Among the major shareholders are Norden Technology A/S, Robur and SEB. The Anoto share is traded on the Mid Cap list of the OMX Nordic Exchange in Stockholm under the ticker ANOT. For more information: www.anoto.com

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

Can Amazon Alexa or Google Home Help Det…

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...