Evaluating an Augmented Reality Software for Mechanical Thrombectomy Using the Lean Assessment Process Methodology: Identifying Clinical Needs, Stakeholder Acceptance, and Adoption Barriers in the NHS
Author(s)
Florence Serres1, Philip Pratt, PhD2, Rebecca Waller, PhD2, Kyriakos Lobotesis, MD2, Christopher Johnson, PhD2, James Rose, BSc, PhD1, Mamta Bajre, MSc1.
1Health Innovation Oxford and Thames Valley, Oxford, United Kingdom, 2Medical iSight (UK) Limited, London, United Kingdom.
1Health Innovation Oxford and Thames Valley, Oxford, United Kingdom, 2Medical iSight (UK) Limited, London, United Kingdom.
OBJECTIVES: To explore the clinical need, stakeholder acceptance and potential barriers to adoption of a real-time 3D image analysis software designed to support clinicians during mechanical thrombectomy procedures.
METHODS: The Lean Assessment Process (LAP) methodology is a structured framework that integrates perspectives from human factors, health economics and market access to support early-stage health technology development. This study applied the LAP methodology to gain the insights of 10 expert stakeholders comprising interventional neuroradiologists, trainees, clinical leads, and medical directors from eight NHS Neuroscience Centres across England, and build an understanding of the software’s clinical relevance, perceived usefulness and implementation challenges within the mechanical thrombectomy pathway in the NHS in England.
RESULTS: With an overall usefulness score of 65.9% and 50% of stakeholders identifying as promoters, the LAP methodology showed that stakeholders strongly supported the 3D image analysis software, particularly as a training tool for early-career interventional neuroradiologists. It was also seen as valuable to enhance confidence and skills of less-experienced operators. The software’s ability to improve 3D visualisation of cerebral vasculature was perceived as beneficial in complex cases such as distal occlusions, arteriovenous malformations (AVMs), and aneurysms. Several barriers to adoption were identified, relating to its integration within existing clinical pathways and the need for further clinical validation.
CONCLUSIONS: The LAP methodology provided a robust framework for evaluating the software’s value proposition and identifying key factors for its refinement and implementation. The findings of the study provide a strategic foundation for further development, clinical validation, and potential scaling of the software within the NHS mechanical thrombectomy pathway.
METHODS: The Lean Assessment Process (LAP) methodology is a structured framework that integrates perspectives from human factors, health economics and market access to support early-stage health technology development. This study applied the LAP methodology to gain the insights of 10 expert stakeholders comprising interventional neuroradiologists, trainees, clinical leads, and medical directors from eight NHS Neuroscience Centres across England, and build an understanding of the software’s clinical relevance, perceived usefulness and implementation challenges within the mechanical thrombectomy pathway in the NHS in England.
RESULTS: With an overall usefulness score of 65.9% and 50% of stakeholders identifying as promoters, the LAP methodology showed that stakeholders strongly supported the 3D image analysis software, particularly as a training tool for early-career interventional neuroradiologists. It was also seen as valuable to enhance confidence and skills of less-experienced operators. The software’s ability to improve 3D visualisation of cerebral vasculature was perceived as beneficial in complex cases such as distal occlusions, arteriovenous malformations (AVMs), and aneurysms. Several barriers to adoption were identified, relating to its integration within existing clinical pathways and the need for further clinical validation.
CONCLUSIONS: The LAP methodology provided a robust framework for evaluating the software’s value proposition and identifying key factors for its refinement and implementation. The findings of the study provide a strategic foundation for further development, clinical validation, and potential scaling of the software within the NHS mechanical thrombectomy pathway.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
HTA129
Topic
Economic Evaluation, Health Technology Assessment, Medical Technologies
Topic Subcategory
Value Frameworks & Dossier Format
Disease
Neurological Disorders, No Additional Disease & Conditions/Specialized Treatment Areas