How to Use AI in Healthcare: Important Dos and Don'ts

AI continues to reshape healthcare, but like any powerful tool, it brings new responsibilities. Without proper guardrails, organizations can unintentionally expose patient data, introduce bias, or fall out of compliance with regulatory expectations.

To help teams navigate this evolving landscape, we created a simple infographic outlining the core dos and don’ts of responsible AI use. The guidance focuses on five key areas: data privacy, governance, transparency, human oversight, and ethical use. These principles ensure AI supports clinical care without replacing judgment, compromising compliance, or putting patient trust at risk.

Equally important are the risks to avoid, such as using unapproved tools, allowing AI to automate clinical decisions, relying on unvalidated models, or overlooking regulatory updates from OCR, OIG, CMS, FDA, and others.

AI isn’t just a technology decision. It’s a compliance, privacy, and patient-safety decision.

Get the infographic and share it with your teams to strengthen your AI governance and ensure every use case is safe, ethical, and compliant.

Download the infographic by filling out the form.