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Insights into Imaging

Table 1 Overview of collected data

From: A holistic approach to implementing artificial intelligence in radiology

Data source

Contribution to research

Observations

• On-site and virtual work observations over 43 non-consecutive days, avg. 4.5 h (e.g. radiology reporting and protocol development in IPG)

• Comprehensively capturing organisational changes related to AI implementation

• 30 meetings, avg. 38 min (e.g. clinical evaluation and threshold optimisation of AI applications)

• Observing the natural progression of AI implementation efforts

Interviews

• Understanding all of technical, clinical, and managerial perspectives and stakes in AI implementation

• 18 interviews, avg. 53 min with clinical, technical, and managerial staff (e.g. AI-related educational efforts, management motivation for AI implementation)

Documents

• 19 public documents (e.g. CAI Group blog posts, AI product brochures) and 22 internal documents (e.g. algorithm validation results, planning documents on AI implementation)

  1. A total of 228 h of data collection (43 days of work observations, 30 meeting observations, 18 interviews) and 41 relevant documents
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