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ABSTRACT: Background
Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by developers of analytics underlying these solutions aiming to increase the likelihood of successful implementation, but recommendations about their use are lacking. The aim of this study was to develop and apply a framework that positions best practice methods for economic evaluations alongside development of analytics, thereby enabling developers to identify barriers to success and to select analytics worth further investments.Methods
The framework was developed using literature, recommendations for economic evaluations and by applying
SUBMITTER: Bakker L
PROVIDER: S-EPMC8628451 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature