Browse through all publications from the Institute of Global Health Innovation, which our Patient Safety Research Collaboration is part of. This feed includes reports and research papers from our Centre. 

Citation

BibTex format

@article{van:2026:10.1038/s41746-026-03041-2,
author = {van, Kessel R and Carter, AW and Nasir, K and Mossialos, E},
doi = {10.1038/s41746-026-03041-2},
journal = {Npj Digital Medicine},
title = {Artificial intelligence needs better health systems to reduce inequalities},
url = {http://dx.doi.org/10.1038/s41746-026-03041-2},
volume = {9},
year = {2026}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Artificial Intelligence (AI) technologies are increasingly prevalent in healthcare, yet without adaptive governance, even well-designed systems risk exacerbating health inequalities. This perspective examines five interconnected governance domains: legal frameworks, evidence generation, regulation and market access, workforce readiness, and public trust. We argue these form a cyclical governance chain in which weaknesses cascade across domains, and identify critical gaps and system-level reforms to ensure AI reduces rather than amplifies disparities.
AU  - van,Kessel R
AU  - Carter,AW
AU  - Nasir,K
AU  - Mossialos,E
DO  - 10.1038/s41746-026-03041-2
PY  - 2026///
TI  - Artificial intelligence needs better health systems to reduce inequalities
T2  - Npj Digital Medicine
UR  - http://dx.doi.org/10.1038/s41746-026-03041-2
VL  - 9
ER  -
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