AI Care Standard™
for Patient Communication
A ground-breaking framework for safe, accurate, and clinically responsible AI-driven patient communication. Developed by an elite set of health system leaders and patient safety experts, the Standard pairs core principles for responsible AI communications with an evaluation framework organizations can use to assess any patient-facing tool or technology prior to adoption.
AI Care Standard™
for Patient Communication
A ground-breaking framework for safe, accurate, and clinically responsible AI-driven patient communication. Developed by an elite set of health system leaders and patient safety experts, the Standard pairs core principles for responsible AI communications with an evaluation framework organizations can use to assess any patient-facing tool or technology prior to adoption.








Developed by the PatientAI Collaborative™
About Us
CoChairs
Clinical and Health System Experts
Patient, Caregiver, & Consumer Advocates
Technology Advisors
Executive Leads
AI Care Standard™ for Patient Communication
Why This Standard Matters

AI-powered patient communication is advancing faster than oversight.
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics
Designed To Fit Into Existing Programs
AI Care Standard™ aligns with CHAI, CMS, ONC, and Joint Commission expectations and lays the groundwork for future accreditation and certification.

Who This Benefits
check
Health IT leaders & digital transformation teams selecting new AI systems
check
Quality, compliance, and risk officers evaluating operational safety
check
AI solution vendors seeking alignment to healthcare standards
check
Clinical communications teams responsible for patient engagement

AI-powered patient communication is advancing faster than oversight.
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics

AI-powered patient communication is advancing faster than oversight.
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics
Designed To Fit Into Existing Programs
AI Care Standard™ aligns with CHAI, CMS, ONC, and Joint Commission expectations and lays the groundwork for future accreditation and certification.
Designed To Fit Into Existing Programs
AI Care Standard™ aligns with CHAI, CMS, ONC, and Joint Commission expectations and lays the groundwork for future accreditation and certification.
AI Care Standard™ for Patient Communication
AI Care Standard™ for Patient Communication
Why This Standard Matters

Who This Benefits
check
Health IT leaders & digital transformation teams selecting new AI systems
check
Quality, compliance, and risk officers evaluating operational safety
check
AI solution vendors seeking alignment to healthcare standards
check
Clinical communications teams responsible for patient engagement

Who This Benefits
check
Health IT leaders & digital transformation teams selecting new AI systems
check
Quality, compliance, and risk officers evaluating operational safety
check
AI solution vendors seeking alignment to healthcare standards
check
Clinical communications teams responsible for patient engagement

AI-powered patient communication is advancing faster than oversight.
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics

AI-powered patient communication is advancing faster than oversight.
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics
Designed To Fit Into Existing Programs
AI Care Standard™ aligns with CHAI, CMS, ONC, and Joint Commission expectations and lays the groundwork for future accreditation and certification.
Designed To Fit Into Existing Programs
AI Care Standard™ aligns with CHAI, CMS, ONC, and Joint Commission expectations and lays the groundwork for future accreditation and certification.
AI Care Standard™ for Patient Communication
AI Care Standard™ for Patient Communication
Why This Standard Matters

Who This Benefits
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics

Who This Benefits
Without clear verification and accountability, systems can introduce misinformation, safety risks, and legal exposure.
The AI Care Standard™ provides a practical governance framework and implementation checklist to help health systems:
check
Evaluate vendors before adoption
check
Audit and certify AI already in use
check
Train governance teams in responsible oversight
check
Embed measurable quality and safety metrics


























