Case Study:
Establishing Consensus about the Beneficial Role of AI in Radiology
Background
Our client is a large biotech and pharmaceutical company, that produces contrast agents and other products for medical imaging and radiology.
The Unites States is facing a shortage of radiologists due to increased workloads resulting from complex medical imaging technology and the demands of an aging population.
Opportunity
In April 2023 The Food and Drug Agency (FDA) released a guidance document to provide its recommendations on the development of medical devices that are supported by machine learning algorithms.
With over 300 AI algorithms of potential relevance to this area, our client sees the potential to shift their focus to deliver value towards the use of AI that improves medical imaging efficiency.
As a first step, the client wanted to identify areas of consensus on critical topics within this field and highlight the key concerns and potential benefits of AI to help support its integration in radiology.
Approach
Triducive designed and led an in-person consensus in Arizona, US, also accommodating for some attendees to join remotely. A Nominal Group Technique (NGT) was used with an expert group of US-based radiologists. This approach persisted over a number of rounds until agreement was achieved across the expert group regarding the most crucial statements for each topic:
