Meeting Compliance Challenges of Artificial Intelligence
As healthcare organizations adopt artificial intelligence (AI) in service delivery, compliance officers face a complex and evolving set of risks related to privacy, patient safety, legal exposure, and operational integrity. Without proper controls, organizations may experience increased liability exposure, ranging from malpractice and contractual breaches to regulatory fines, while remediation efforts can be costly and disruptive.
Key areas of concern for compliance officers regarding the use of AI include:
- Information that is inaccurate, misleading, incomplete, or poorly documented
- Unclear ownership or sourcing of information generated or used by AI
- Vulnerability to cyberattacks, data poisoning, and insecure access to information
- Threat to patient privacy due to unauthorized access
- Use of biased, incomplete, or poorly documented datasets
- Insufficient controls for logging, vulnerability testing, and breach detection and remediation
- Inadequate training of clinicians and staff on AI limitations, safe usage, and reporting mechanisms
- Noncompliance with privacy laws, payer rules, record retention policies, and disclosure obligations
- Threats to patient safety from incorrect or misleading AI-generated outputs that harm care
- Inability to explain AI outputs to clinicians, patients, or regulators
- Insufficient pre‑deployment validation
- Lack of ongoing performance monitoring
- Failure to provide patient notice of AI use, honor opt-outs, or prevent improper secondary data use
- Exposure to malpractice, regulatory fines, contractual breaches, and unclear indemnity from vendors
- Lack of rollback plans, insufficient incident response, and insufficient backup and availability strategies
- Hidden costs
Interested in learning more and finding out how Strategic Management can help support your compliance program? You can reach Richard Kusserow at [email protected] or connect with a compliance advisor to schedule a meeting.
