Selecting effective, compliant AI: The healthcare leader's checklist


As more health systems leverage AI for clinical notetaking and other administrative tasks, rising concerns in data protection and cybersecurity demand a thorough approach to evaluating these investments.

This guide offers critical considerations for assessing AI solutions and key governance elements like data privacy, bias mitigation, safety protocols and more. With these best practices, healthcare leaders can confidently evaluate and adopt AI tools to enhance care delivery while upholding responsible governance, prioritizing safety and ensuring compliance with evolving ethical and regulatory standards.

Key learnings include:
 
  • Ensuring AI tools safeguard patient data with strong encryption, de-identification processes and customizable data retention policies
  • Checking if AI is trained on diverse data and integrates multidisciplinary expertise to minimize biases
  • Looking for robust validation frameworks that prevent errors and hallucinations
  • Ensuring vendors maintain clear documentation and actively participate in industry-standard initiatives
 

Please fill out the form to download the whitepaper.

 

By downloading this content, you agree to Becker's Healthcare terms of service and privacy policy.

I would like to also add the following learning opportunities to my registration:

  • Cut acute care delays & improve outcomes with an overlooked strategy: here. - April 8th at 11:00 AM CT - Learn Now
  • Expand cardiovascular care access now. Join Mount Sinai Health System and the American College Cardiology to learn how, here. - April 7th at 12:30 PM CT - Learn Now
  • What 'can't be stressed enough' in healthcare cybersecurity: here. - Read Now
  • This AI-payer pact saved a health system hundreds of hours. Learn how here. - Read Now
  • AdventHealth's 'best partnership' in the eyes of a top nurse exec here. - Read Now
  • Digital Innovation + Patient Experience + Marketing Virtual Event - Tuesday, August 5th, 2025 - Learn Now