This talk consists of four videos:
3.1 Strategy and culture: the why - Dr Tracy O'Regan
There are growing numbers of UK strategy documents which outline the importance of digital healthcare and, of particular importance for radiology, artificial intelligence (AI). Implementation science approaches acknowledge the importance of both strategy and culture influencing AI adoption and implementation. Staff training and education, knowledge, skills, competence, and confidence in AI are influenced by these concepts. The session will introduce and set the discussion the context of strategy and radiology cultures.
3.2 Technical implementation - Jo Pauwels, RN, PMP and Dr Imran Siddiqui, MBBS, BSc(hons), MBA
Understanding technical implementation is not only a fundamental requirement for successful implementation but can also impact on workforce confidence and ultimately the success or failure of AI adoption.
While implementing AI technologies into a radiology workflow, preparation is key. Focus should be set on the composition of the implementation team, understanding the clinical workflow, setting of clear goals, adequate communication structures and infrastructure design including IT integration, information governance and data security.
We will describe the foundation concepts of technical implementation including standardisation and normalisation of the data, study selection and routing, integration to PACS/RIS infrastructure, interoperability, and the setup of a testing environment.
Ultimately, a well prepared and smoothly executed roll-out of AI-based solutions can help increase user acceptance and optimisation of the radiology workflows.
3.3 Local validation: does it work - Dr Anna Barnes
This presentation outlines the presenters own experience with local validation frameworks for digital technologies in radiology and provides local examples from automated tools for cerebral blood flow reporting in neurology, the latest iterative reconstruction methods in PETCT and AI tools for segmentation of CT images for radiotherapy treatment planning services.
3.4 Systems impact: measuring effectiveness - Dr Anna Barnes
The presentation outlines the frameworks used by KiTEC when commissioned by NICE and NHS-England to measure impact on healthcare systems.
King's Technology Evaluation Centre (KiTEC) has been in its current form for over 10 years: A team of health technology analysts (HTA), medical statisticians and health economists. KiTEC acts as an External Assessment Centre (EAC) for real-world primary data and managed access secondary data analysis. Since 2020 we also provide Technology Specific Evaluation Team (TSET) support to the AI in Health and Care Award winners phase 4 technology. Our current commitments as a TSET include: Keiron Medical Technologies - Mia a real-word evaluation of AI enabled mammography screening tool aimed at the UK market; iRhythm – Zio an AI enabled screening tool for ECG remote monitoring in stroke and cardiology patients; Nanox – HealthVCF an AI enabled screening tool for detecting incidental vertebral fractures. The KiTEC team have provided clinical expertise, trial design, database protocol configuration, protocol critique, qualitative ethnographic research design and health economic modelling support to this diverse group of technologies.
1.5 CPD credits
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Dr Tracy O‘ReganTracy is a professional officer for clinical imaging and research at the society and college of radiographers (SCoR). She has worked for SCoR for 6 years, prior to which she was a radiography clinical tutor and advanced practitioner radiographer (emergency care), employed by the NHS for 24 years. Tracy completed an MSc Advanced Practice Medical Imaging (Radiology) in 2008 and a Professional Doctorate in 2019, with a thesis titled An Account of Silence in Diagnostic Radiography: A Cultural Quilt. She is an advocate of qualitative and particularly creative research methods for healthcare. Tracy has represented SoR on a range of working parties, including supporting Public Health England and The King’s Fund to develop an Allied Health Professions Framework to tackle health inequalities. Tracy has a keen interest in the clinical uses of emerging technologies; she supports the SCoR artificial intelligence advisory group and also serves as a steering committee member for the Science and Technology Facilities Council, Early Cancer Diagnosis + Network.
Dr Imran SiddiquiDr Imran Siddiqui studied in London and trained in clinical radiology in the NHS, prior to joining Bayer, where he now leads the UK Radiology Medical Affairs team. He focuses on growing value and expertise for both pharmaceutical and medical device products, advising on medical and commercial strategy and driving regulatory excellence and innovation. Imran is passionate about medical education as well as the safe and sustainable adoption of AI technologies. He was a core team member for the global launch of an AI platform technology for medical imaging, was awarded a scholarship to complete the UCL ‘Artificial Intelligence in Business’ executive course on AI implementation and strategic business models and sits on the British Institute of Radiology’s AI & Innovation specialist interest group and ABHI AI workstream.
Dr Anna BarnesAnna Barnes trained in medical physics in Glasgow and became a Clinical Scientist in 1999 after completing her training in Biomedical Engineering and Equipment Management and a PhD in advanced Neuroimaging in neurology and psychiatry. She continued her career in advanced neuroimaging; first 2 years at the Institute of Neurology in Glasgow, 2 years at New York University PET imaging centre for movement disorders, 1 year at GE Healthcare radiopharmaceutical development team, 2 years at Columbia University NY in the fMRI psychology lab and 5 years at University of Cambridge Brain Mapping Unit developing imaging biomarkers for psychiatry applications. In 2012 she took up an NHS post at UCLH as the Lead Clinical Scientist tasked to introduce the novel combined PET and MRI scanner in the newly built UCH Macmillan Cancer Centre. During this time she also represented the Institute of Physics and Engineering in Medicine as their VP for external relations 2013/16, VP for academic members 2020/22 and most recently president elect 2023/25, made 2 successful NIHR fellowship applications focussed on standardisation of MR imaging in oncology, and data science. In 2020 Anna represented the Medical Physics Imaging workforce for IPEM by serving on the National Imaging Optimisation Delivery Board – part of the Transforming Imaging Services initiative – during the CoViD-19 pandemic for which she was awarded the President’s Gold Medal for services to IPEM. She was the Regional Chief Healthcare Scientist for all the SE region for NHS-England and Improvement 2020/22 and is currently the director of King’s College Technology Evaluation working predominantly on evaluation of AI enabled digital health technologies for NICE and NHS-England.