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:
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.