Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment.

ABSTRACT:

Background

Artificial intelligence (AI) has attracted much attention because of its enormous potential in healthcare, but uptake has been slow. There are substantial barriers that challenge health technology assessment (HTA) professionals to use AI-generated evidence for decision-making from large real-world databases (e.g., based on claims data). As part of the European Commission-funded HTx H2020 (Next Generation Health Technology Assessment) project, we aimed to put forward recommendations to support healthcare decision-makers in integrating AI into the HTA processes. The barriers, addressed by the paper, are particularly focusing on Central and Eastern European (CEE) countries, where the implementation of HTA and access to health databases lag behind Western European countries.

SUBMITTER: Zemplenyi A 

PROVIDER: S-EPMC10171457 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature