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New Consortium Aims to Ensure Responsible Use of AI in Healthcare

by Fred Pennic 03/11/2024 Leave a Comment

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What You Should Know:

– A new initiative, the Trustworthy & Responsible AI Network (TRAIN), was announced today at the HIMSS 2024 Global Health Conference.

– The TRAIN consortium brings together leading healthcare organizations and technology partners with the ambitious goal of ensuring responsible and trustworthy applications of Artificial Intelligence (AI) in healthcare.

TRAIN’s Initiatives to Foster Trustworthy AI

Through collaboration, TRAIN members will help improve the quality, safety, and trustworthiness of AI in health by sharing best practices, enabling registration of AI used for clinical care or clinical operations, providing tools to enable measurement of outcomes associated with the implementation of AI, and facilitating the development of a federated national AI outcomes registry for organizations to share amongst themselves.

TRAIN emphasizes collaboration among its members to achieve the following objectives:

– Share Best Practices: TRAIN will establish best practices for using AI responsibly in healthcare settings, including guidelines for safety, reliability, algorithm monitoring, and the necessary skillsets for responsible AI management. Other objectives include:

– Centralized AI Registry: A secure online portal will allow for the registration of AI used for clinical care or operations.

– Measuring AI Outcomes: TRAIN will provide tools to measure the outcomes associated with AI implementation. This includes best practices for studying the effectiveness of AI methods and leveraging privacy-preserving environments, with considerations for both pre- and post-deployment settings. Tools to analyze data in subpopulations to identify potential biases will also be available.

– National AI Outcomes Registry: The development of a federated national AI outcomes registry is underway. This registry will enable organizations to share real-world data related to the efficacy, safety, and optimization of AI algorithms.

TRAIN Founding Members

  • AdventHealth
  • Advocate Health
  • Boston Children’s Hospital
  • Cleveland Clinic
  • Duke Health
  • Johns Hopkins Medicine
  • Mass General Brigham
  • MedStar Health
  • Mercy
  • Mount Sinai Health System
  • Northwestern Medicine
  • Providence
  • Sharp HealthCare
  • University of Texas Southwestern Medical Center
  • University of Wisconsin School of Medicine and Public Health
  • Vanderbilt University Medical Center

Microsoft as Technology Partner

Microsoft joins TRAIN as the technology enabling partner, providing expertise and resources to support the consortium’s goals.

“I am excited to partner with my colleagues from our diverse group of health systems and Microsoft in the development and implementation of technologies and capabilities that make health AI more trustworthy,” said Dr. Michael Pencina, chief data scientist for Duke Health and co-founder and board member for Coalition for Health AI (CHAI). “We look forward to leveraging the Coalition for Health AI’s (CHAI) best practice guidelines and guardrails to build practical tools that make responsible AI a reality among healthcare delivery organizations in service to all our patients.”

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Tagged With: Artificial Intelligence

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