Artificial intelligence in healthcare: An essential guide for health leaders

By Mei Chen, Michel Décary. Healthcare Management Forum, 2019

408 citations recorded by the source corpus.

Artificial Intelligence (AI) is evolving rapidly in healthcare, and various AI applications have been developed to solve some of the most pressing problems that health organizations currently face. It is crucial for health leaders to understand the state of AI technologies and the ways that such technologies can be used to improve the efficiency, safety, and access of health services, achieving value-based care. This article provides a guide to understand the fundamentals of AI technologies (ie, machine learning, natural language processing, and AI voice assistants) as well as their proper use in healthcare. It also provides practical recommendations to help decision-makers develop an AI strategy that can support their digital healthcare transformation.

Subfields: Health Informatics, Health Information Management, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/48b44b31b4d378d73bbdcf3c0a38346fea578177

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Daniel Tyskbo
2. Lena Petersson
3. Per Nilsen
4. P. Svedberg
5. Julie E. Reed
6. M. Neher
7. I. Larsson
8. J. Nygren

Citations in the corpus

• Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden (2022, background): “Trust in relation to AI systems is well reflected on as a challenge in research in healthcare [30, 41, 64–66].”