Healthcare Resources
AI HIPAA Compliance Checklist
Comprehensive HIPAA compliance checklist for healthcare AI systems that create, receive, maintain, or transmit PHI. Covers Privacy Rule requirements (minimum necessary, de-identification, patient rights), Security Rule requirements (administrative, physical, technical safeguards), AI-specific security considerations (model security, training data, inference), Business Associate requirements for AI vendors, and breach notification scenarios. Includes gap assessment and remediation planning.
AI Implementation Roadmap - Healthcare Edition
Proven 180-day playbook for implementing AI in clinical healthcare environments. Addresses FDA compliance, HIPAA requirements, EHR integration (Epic, Cerner), and clinical validation requirements. Four-phase approach: Foundation (Days 1-45), Pilot (Days 46-90), Validation (Days 91-135), Production (Days 136-180). Includes clinical change management strategies, physician adoption frameworks, patient safety monitoring, and success metrics. Built for CMIOs, CIOs, and healthcare technology leaders.
AI Ethics Guidelines - Healthcare Edition
Comprehensive AI ethics framework for healthcare built on patient-centered principles. Covers clinical AI ethics including diagnostic and treatment AI, health equity and algorithmic bias, patient autonomy and informed consent, clinician-AI relationship, end-of-life decision support, and research ethics. Includes clinical ethics review framework, bias detection methodologies, ethics training program, and case studies from real healthcare AI deployments.
AI Security Blueprint - Healthcare Edition
Comprehensive AI security architecture for healthcare organizations meeting HIPAA Security Rule requirements. Covers protection of PHI in AI training and inference, clinical AI system security, medical device AI protection, and vendor security management. Addresses healthcare-specific threats including ransomware, adversarial attacks on diagnostic AI, training data theft, and supply chain risks. Includes BAA requirements for AI vendors and integration with healthcare security operations.
AI Risk Assessment Matrix - Healthcare Edition
Comprehensive AI risk assessment framework built specifically for healthcare organizations. Addresses patient safety risks from diagnostic AI errors, treatment recommendation failures, and clinical workflow disruption. Covers regulatory compliance (FDA SaMD, HIPAA), health equity and algorithmic bias in clinical AI, medical malpractice liability, and clinician trust. Includes healthcare-specific risk scoring methodology, case studies of AI failures, and integration with existing clinical risk...
AI Governance Framework - Healthcare Edition
Comprehensive AI governance framework for healthcare organizations deploying clinical and administrative AI. Addresses FDA medical device regulations for AI, HIPAA privacy and security requirements, patient safety protocols, and health equity considerations. Covers organizational structure for healthcare, clinical AI governance pathways, diagnostic and treatment AI oversight, and governance maturity model with healthcare benchmarks. Built for CMIOs, CAIOs, and healthcare compliance leaders.