Safe and effective AI use

Resources to guide healthcare delivery organizations to use AI safely and effectively.

The AI Maturity Roadmap: A Framework for Effective and Sustainable AI in Health Care

The AI Maturity Roadmap is a framework developed by the AI Collaborative to guide healthcare organizations in implementing artificial intelligence responsibly and sustainably. The roadmap identifies six major focus areas for AI adoption: culture, governance, business implementation, value, maintenance and operations, and information architecture. The paper emphasizes that successful AI adoption in healthcare requires strong governance, workforce education, ethical oversight, and organizational alignment in addition to technological advancement.

CHAI

Coalition for Health AI (CHAI) is a learning network designed to help stakeholders deploy AI in a responsible way.

Responsible AI Guidance

This report presents a blueprint for implementing trustworthy AI technologies in a healthcare system.

Applied Model Card

A complete example of how a model card can be applied to an AI solution.

Responsible AI Checklist

A checklist that consists of questions to determine if responsible AI practices are being met according to CHAI’s standards.

HAIP

Health AI Partnership (HAIP) is a collaborative focused on standards for AI.

Key decision points

A list of key decision points to consider when implementing AI across the procurement, development, integration, & life cycle management of an AI solution.

AI vendor disclosure framework

The AI Vendor Disclosure Framework outlines five assessment domains that health systems can use to inform decision-making.

Model facts

An example by HAIP on how model facts can be presented to AI users.

HITEQ

The Health Information Technology, Evaluation, and Quality Center (HITEQ) provides resources for health centers to support health information technology use.

Resources

Each resource domain includes tools, webinars, services and projects.

Population Health

A checklist of considerations to think about before executing a contract, especially for contracts that include value-based elements.

Data Analysis

An introductory guide to the steps of performing data analysis in a healthcare setting.

DIME

Digital Medicine Society (DIME) is a nonprofit and professional organization for digital medicine that brings together different types of frameworks and tools for responsible AI.

AI playbook

A guide that helps healthcare organizations identify priority problems, select related tools, and implement them.

Maturity model

A benchmarking framework that evaluates organizational capabilities across different domains to identify strengths and gaps, and guide a structured path to implementing AI.

AI readiness assessment

A brief self assessment that helps organizations evaluate their preparedness across seven maturity domains and pinpoint gaps and priorities for improvement.

AMA

Governance for Augmented Intelligence

A guide by the American Medical Association (AMA) for establishing effective AI governance in healthcare systems.

Initial Best Practices for Ambient Listening Technology for Clinical Documentation

An outline of best practices for implementing ambient listening technology in clinical settings that provides high level guidance on considerations like model validation, EHR integration, and long-term adoption strategies to support safe and effective use.