People, Pathways and Performance Passed
Wednesday May 15, 2024 14:00 - 14:30 F2
Lecturer: David Lowe
Track: Emerging technologies
Early diagnosis for lung cancer is critical to improving patient outcomes as it remains a leading cause of death across the world. Adoption of AI to support enhanced pathways for detection and treatment with the chest radiograph often the initial test performed. This case study describes a framework for evaluating this technology to develop evidence of the solutions potential for cost and clinical effectiveness while assessing technical performance and acceptability.
Topic
Clinical support and Care models
Seminar type
On site only
Lecture type
Presentation
Objective of lecture
Tools for implementation
Level of knowledge
Intermediate
Target audience
Management/decision makers
Politicians
Purchasers/acquisitions/eco nomy/HR
Researchers
Students
Care professionals
Healthcare professionals
Keyword
Actual examples (good/bad)
Test/validation
Patient safety
Conference
Vitalis
Lecturers
David Lowe Lecturer
Clinical Director Health Innovation
University of Glasgow
Professor David J Lowe is Clinical Director Innovation University of Glasgow, Emergency Consultant at Queen Elizabeth University Hospital, Glasgow and Clinical Director for Health Innovation for Scottish Government.
David has significant experience of creating the infrastructure and conditions to develop innovative devices, services and solutions with a range of industry and academic partners both UK and worldwide. He is lead for a range of projects across the continuum of digital health including ensemble based AI techniques or osteoporosis as well as supporting evaluation and development of AI solutions across a range of imaging modalities.
He leads on range of projects including trauma for the STN (thetraumaapp.com), Dynamic COPD (support.nhscopd.scot) and OPERA (early diagnostic heart failure utilising AI). Such projects focus on developing AI/ML clinical decision support by embedding a data driven approach combined with patient co-management into clinical care pathways. David also established the EmQuire research group focusing on data, device and decisions within Emergency Medicine.