Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

ABSTRACT:

Objective

The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.

Materials and methods

Using an embedded multiple case study, an exploratory, qualitative research design was followed. Data collection consisted of 24 semi-structured interviews from seven Dutch hospitals. The analysis of barriers and facilitators was guided by the recently published Non-adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework for new medical technologies in healthcare organizations.

Results

Among the most important facilitating factors for implementation were the following: (i) pressure for cost containment in the Dutch healthcare system, (ii) high expectati

SUBMITTER: Strohm L 

PROVIDER: S-EPMC7476917 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature