Strengthening confidence through trusted quality

Important decisions depend on evidence people can trust.

Professional Business Team Collaborating in a Modern Office

Shen-Ming Chen — チェン・シェンミン
国立台北科技大学（台湾）化学工学・生物工学部, 教授

What makes trusted quality possible

Evidence drawn from a powerful knowledge base

People can work with greater certainty when scientific, medical and health information is current, connected and grounded in authoritative sources.

How information quality shapes AI

Expert review where it matters

Editorial oversight, peer review, clinical validation and governance help ensure evidence remains reliable, transparent and fit for purpose.

Setting and maintaining standards

AI that makes evidence easier to follow

When AI is used, it should help surface and apply evidence without obscuring where that evidence comes from. That means clear sources, traceability and human oversight remain part of the experience.

Championing transparency in an AI world

Confidence must be earned

Our editorial standards, expert oversight and global reach help customers work with evidence they can trust when decisions matter.

18% of global research Elsevier publishes 18% of global research, and its journal articles account for 29% of global journal citations.

100+ quality signals Elsevier’s integrity systems can process 7,500 manuscripts per hour using 100+ signals, supported by 37,000 expert editors and 1.9 million reviewers 128,000 medical videos Elsevier’s vast collection of medical reference content includes over 2,500 clinical overviews, over 7.3 million images, 1,100+ Books, 650+ Journals, 4,000+ Practice Guidelines and over 128,000 medical videos in one integrated platform.