Skip to main content

Table 1 Definitions of the constructs from the innovation domain in the updated Consolidated Framework for Implementation Research (CFIR) [9]. The construct definitions are adapted to AI as an innovation to be adopted into the organisation

From: Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden

Innovation domain

Construct name

Construct definition

The degree to which:

Innovation source

The group that developed and/or visibly sponsored use of AI is reputable, credible, and/or trustworthy

Innovation evidence base

The AI innovation has robust evidence supporting its effectiveness

Innovation relative advantage

The AI innovation is better than other available innovations or current practice

Innovation adaptability

The AI innovation can be modified, tailored, or refined to fit local context or needs

Innovation trialability

The AI innovation can be tested or piloted on a small scale and can be retracted if necessary

Innovation complexity

The AI innovation is complicated; which may be reflected by its scope and/or the nature and number of the connections and steps involved in the process

Innovation design

The AI innovation is well-designed and well-packaged, including how it is assembled, bundled, and presented

Innovation cost

The AI innovation purchase and operating costs are affordable