Opinion – My Journey with Breast Cancer and How AI is Transforming Detection and Treatment in the UK

A breast cancer diagnosis is not something that one can truly prepare for. Even those who statistically carry higher risk factors and pre-disposition still receive diagnosis with fear and anxiety despite the information and support that is readily available. As Breast Cancer Awareness month comes to a close, Sharon Hunt, Senior Consultant at Apira bravely shares her journey with Breast Cancer and how AI is transforming detection and treatment in the UK.

What is the problem

Whilst we must applaud the benefits of the National screening program there is still a 10% deficit in detection rates, and one must consider if there are technical limitations in the screening process that may result in some cancers being missed. Whilst mammography is an effective diagnostic tool there is ongoing research to improve screening methods, and consideration is being given to emerging technologies such as Artificial Intelligence (AI) in this respect. The use of innovative technology may result in changes to legislation allowing woman to be  invited for screening at a younger age. For example the age for Breast screening it he USA is 40 in comparison to age 50 in the UK . This may contribute to a reduction in the missed cancer diagnosis statistic

AI Is increasingly being integrated into the breast screening process and offers several potential benefits

• Improved accuracy of diagnosis – algorithms helping to identify abnormalities that may have been missed by human radiologists
• Delivering efficiencies in screening – AI can streamline the workflow by flagging suspicious images for further review and releasing resources to focus on priority cases that require more attention
• Management of risk – AI analysis of individual patient data to assess for risk factors. This enables tailored screening programs to optimise outcomes and uses a range of available data i.e. genetics giving a more holistic view of the individuals’ clinical requirements
• Enhanced training – AI can provide radiologists with feedback on their interpretations to help improve competencies, and standardise readings and best practice amongst practitioners
• Telemedicine support – AI can facilitate remote screening initiatives which may benefit woman in underserved geographical locations.
• Cost effectiveness – AI can improve accuracy and efficiency of screening leading to potential reduction in overall costs associated with late-stage breast cancer diagnosis and treatment

”As a patient, I truly believe that embracing advancement in technology for cancer detection is crucial. The faster and more accurately we can detect potential issues the better our chances are for successful treatment and survival. I want to be part of a future where technology plays a vital role in safeguarding our health , making screening more accessible, and ensuring that no one faces cancer alone. Innovation in healthcare gives me hope and confidence in managing my health”

Drawing on my personal experience, I wonder how AI may have enhanced my cancer journey particularly in respect of confirmation of the diagnosis. I recall being fortunate to be “in the right place at the right time” and “having personal clinical insight” to understand accepting an offer for biopsy on the same day as having the mammogram would be advantageous. I was aware that around four in every 100 woman are asked to come back for more tests after screening, which add delays, and out of those 4 one will have a positive cancer diagnosis. The clinic I attended was typically busy, and having available capacity and resources to deliver a “one stop shop “including perform a biopsy seemed almost incredulous.  Imagine if AI could drive transformational change enabling all eligible service users to receive additional tests on the same day as their original appointment. Additionally having the capability of AI to assist in the verification of diagnostic tests so that treatment plans are initiated without delay would significantly reduce patient anxieties whilst deliver operational benefits related to workflow and performance improvements

In the UK there are several AI technologies and systems being developed or used to assist with breast screening. These include supporting radiologists to detect breast cancer from mammograms and providing radiologists with second opinions to help improve detection rates and reduce missed diagnosis. Some notable examples include Cambridge University Hospitals, Queen Mary University of London , Imperial College London and NHS AI Lab Pilots.

The way ahead with Apira

Apira is a company specialising in healthcare solutions and can offer valuable services to Trusts in the UK who may be considering AI solutions within their breast screening services. Our specialised Team can assist with:

• Business case development – justifying the need for procurement and assisting with specifications , requirements and HIMSS assessments
• Tailored workflow solutions – mapping a breast screening services workflow (across a Trust or ICS) ensuring that the AI technology aligns with existing processes, or identification of new ways of working
• Integration support – Apira has experience of systems integration and data migration ensuring a seamless transition of workflow, minimising disruption to clinical operations
• Testing and validation – conducting rigorous testing and validation to demonstrate value of technology investment and address any stakeholder concerns, particularly around clinical risk
• Data management – helping Trust manage and analyse data sets to help improve diagnostics performance
• Collaboration with experts – facilitate collaboration with academic, and clinical experts to ensure the delivery of best practice and latest research in breast cancer detection
• Benefits identification and realisation – ensuring ROI for the project/ pilot

Apira has a proven reputation for assisting Trusts with patient centric approaches to improving patient outcomes and can support organisations with AI initiatives which prioritise patient safety, experience and satisfaction in breast screening services.

Through my personal journey, and whilst being employed by Apira, this has enabled me to empathise with our clients , helping them to understand their challenges and goals as we work together to enhance services supported by the implementation of technology.

If you are interested in learning more about how Apira can support your organisation in delivering successful AI outcomes, please do not hesitate to contact us. We would be delighted to discuss how our expertise can help you. Please contact David Corbett, Executive Director david.corbett@apira.co.uk