Minnesota AI and Informatics Resource Hub

Sharing Information on Effective AI Use in Healthcare

The Minnesota AI and Informatics Resource (MN-AIR) Hub is designed to support healthcare organizations as their AI and informatics approaches evolve. We do this by 1) compiling useful resources like guidelines and summaries of important studies, and 2) producing empirical research that can inform healthcare delivery.

The following tools are designed to support AI and digital transformation across diverse healthcare delivery settings by synthesizing and sharing critical information.

Resources

Closeup of person looking at data on a screen

Introductory information and resources

Reviews, editorials, and other papers on what AI use looks like in the US healthcare system.

Director discussing results with a clinician

Ensuring safety and quality

Frameworks and best practices for ensuring quality, safety, and effectiveness of AI tools.

Surgeon in the operating room examining a tablet

Implementation in organizations

Tools for different aspects of AI implementation in health systems.

Abstract illustration of maze with code

Safe and effective AI use

Tools and organizational resources to guide healthcare delivery organizations to use AI safely and effectively.

Patient talking to a doctor about x-ray results at a desk

Patient perspectives

What patients think about AI use in their healthcare and resources for integrating patients into the AI deployment process.

Closeup of physician filling out medical paperwork

Ambient scribes

Research on the current state and impact of ambient scribes and methods for evaluating them.