Institute for Healthcare Improvement

How can artificial intelligence decrease cognitive and work burden for front line practitioners?

Tejal K. Gandhi, David C. Classen, Christine A. Sinsky et al.

2023 · 118 Zit.

Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis

Abimbola Ayorinde, Daniel Mensah, Julia Walsh et al.

2024 · 37 Zit.

Updating methods for artificial intelligence–based clinical prediction models: a scoping review

Lotta Meijerink, Zoë S Dunias, Artuur Leeuwenberg et al.

2024 · 10 Zit.

When the frameworks don’t work: data protection, trust and artificial intelligence

Zoë Fritz

2022 · 10 Zit.

Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views

Susan Moschogianis, Sarah Darley, Tessa Coulson et al.

2025 · 9 Zit.

Advancing AI in healthcare: three strategic roles for quality and safety leaders

Jeffrey Rakover, Marina Renton, Pierre Barker et al.

2025 · 0 Zit.

Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain

Jose Benitez-Aurioles, Carlos Raul Ramirez Medina, David Jenkins et al.

2026 · 0 Zit.

29 When AI meets QI

Jeffrey Rakover, Marina Renton, Roy Williams et al.

2023 · 0 Zit.

Why health AI needs protocols, not just pilots

Bhav Jain, Aman Sinha, Nicholas Chedid et al.

2026 · 0 Zit.

2 How can AI support quality management: practical guidance for quality leaders

Jeff Rakover, J. R. Jones, Pierre Barker et al.

2025 · 0 Zit.

25 One size won’t fit all: designing AI for real-world health care

Amy Weckman, Brett Moran, Charles E. Binkley et al.

2025 · 0 Zit.