As artificial intelligence (AI) continues to reshape health care, offering predictive analytics, expanded patient engagement, and administrative efficiencies, ethical and compliance frameworks must evolve in parallel.
The promise of faster, data-driven clinical decisions comes with unprecedented ethical challenges that demand robust oversight. Health care organizations must navigate issues related to patient privacy, bias, accountability, and regulatory compliance to deliver AI-driven health care that remains ethical and legally sound.
AI relies heavily on patient data, often collected from electronic health records (EHRs), imaging systems, and wearable devices.
However, the ethical use of AI requires strict adherence to HIPAA and other privacy laws to prevent unauthorized access, data breaches, or misuse of sensitive patient information.
Key considerations:
AI systems that handle patient health information (PHI) must comply with HIPAA Privacy and Security Rules to prevent data breaches and unauthorized access.
Additionally, AI-powered medical devices and software may require FDA approval under the Software as a Medical Device (SaMD) framework.
Steps for remaining compliant:
Adopting the following strategies will help AI in health care remain ethical, fair, and legally compliant:
To learn more about AI and mitigating risk under regulatory changes, contact your Moss Adams professional.
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