Description

This curriculum spans the equivalent of a multi-workshop advisory engagement, addressing the full lifecycle of data privacy governance in healthcare from risk assessment and legal alignment to third-party oversight and continuous monitoring, with a level of technical and procedural specificity comparable to an internal capability-building program for enterprise privacy teams.

Module 1: Understanding ISO 27799 and Its Relationship to Healthcare Data Governance

Selecting applicable controls from ISO 27799 based on the scope of health information systems in use, such as EHRs, PACS, or telehealth platforms.
Mapping ISO 27799 requirements to national health data regulations like HIPAA, PIPEDA, or GDPR/Health to ensure dual compliance.
Defining roles and responsibilities for data stewards and custodians in alignment with ISO 27799’s governance framework.
Conducting gap assessments between current privacy practices and ISO 27799 control objectives.
Integrating ISO 27799 with existing ISO 27001 ISMS frameworks without duplicating controls or creating operational friction.
Establishing a formal process for reviewing updates to ISO 27799 and assessing their impact on current policies.
Determining whether to adopt ISO 27799 as a standalone standard or embed it within a broader healthcare information governance program.
Documenting justifications for excluding specific ISO 27799 controls based on organizational context and risk appetite.

Module 2: Risk Assessment and Management for Health Information

Conducting threat modeling specific to health data flows, including third-party data sharing with labs and insurers.
Selecting risk assessment methodologies (e.g., OCTAVE, NIST SP 800-30) compatible with ISO 27799’s risk-based approach.
Assigning ownership for risk treatment plans derived from health data risk assessments.
Quantifying residual risk after implementing privacy controls, particularly for legacy systems with limited upgrade paths.
Updating risk registers when new data processing activities (e.g., AI-based diagnostics) are introduced.
Defining thresholds for escalating privacy risks to executive leadership or board-level governance committees.
Integrating clinical safety considerations into privacy risk assessments for patient care systems.
Using risk assessment outcomes to prioritize investment in encryption, access controls, or audit logging.

Module 3: Legal and Regulatory Compliance Alignment

Mapping ISO 27799 controls to specific articles in GDPR related to health data processing and data subject rights.
Designing data processing agreements that reflect ISO 27799 requirements for third-party processors in cloud environments.
Implementing mechanisms to support data subject access requests (DSARs) without compromising system integrity or clinician workflows.
Establishing retention schedules for health records that satisfy both legal mandates and privacy-by-design principles.
Handling cross-border data transfers of health information in compliance with local laws and ISO 27799 guidance.
Documenting legal bases for processing sensitive health data, including consent, public interest, and legitimate purposes.
Coordinating with legal counsel to interpret ambiguous regulatory language affecting data anonymization practices.
Updating compliance documentation annually or after significant regulatory changes affecting health data.

Module 4: Privacy by Design and Default in Health Systems

Embedding data minimization rules into EHR configuration to prevent collection of unnecessary patient data.
Configuring default privacy settings in new health applications to ensure maximum protection out of the box.
Requiring privacy impact assessments (PIAs) before deploying new digital health tools or APIs.
Designing user interfaces to support clinician compliance with privacy rules, such as automatic logoff timers.
Integrating pseudonymization techniques into research databases while preserving data utility.
Enforcing role-based access controls at the field level within clinical systems to limit data exposure.
Validating that third-party vendors adhere to privacy-by-design principles during system integration.
Conducting design reviews with clinical and IT stakeholders to balance usability and privacy requirements.

Module 5: Data Access Governance and Identity Management

Implementing just-in-time access provisioning for temporary staff in emergency care settings.
Establishing automated review cycles for user access rights to health systems based on role changes or inactivity.
Integrating identity providers with multi-factor authentication for remote access to patient data.
Defining break-glass access procedures with audit trail requirements for emergency overrides.
Managing access for external collaborators, such as researchers or public health agencies, under strict data use agreements.
Enforcing attribute-based access control (ABAC) models where role-based controls are insufficient.
Monitoring privileged accounts used by system administrators with real-time alerting on suspicious activity.
Disabling terminated employee accounts within one business day of employment cessation.

Module 6: Data Sharing and Interoperability Controls

Negotiating data sharing agreements that specify permitted uses and prohibit re-identification of shared datasets.
Implementing technical safeguards such as data masking or tokenization in health information exchanges (HIEs).
Validating recipient organization’s compliance status before releasing health data via APIs or direct messaging.
Logging and monitoring all data exchange transactions for audit and breach detection purposes.
Configuring FHIR APIs with granular consent enforcement to align with patient preferences.
Assessing privacy risks associated with real-time data streaming to mobile health applications.
Establishing data escrow procedures for shared datasets to ensure timely deletion upon contract expiration.
Using metadata tagging to enforce downstream usage restrictions on shared health data.

Module 7: Breach Prevention, Detection, and Response

Configuring SIEM rules to detect anomalous access patterns, such as bulk downloads of patient records.
Establishing thresholds for triggering incident response based on data access volume and user behavior.
Conducting tabletop exercises simulating insider threats involving clinical staff with elevated access.
Integrating endpoint detection tools on clinical workstations to prevent data exfiltration via USB devices.
Defining notification timelines and content for regulators and affected individuals in breach scenarios.
Preserving chain-of-custody documentation during forensic investigations of data breaches.
Implementing automated alerts for failed login attempts on systems containing health data.
Coordinating with legal and PR teams to manage external communications during active incidents.

Module 8: Third-Party and Vendor Risk Management

Requiring cloud service providers to provide ISO 27799-aligned security documentation and audit reports.
Conducting on-site assessments of business associates handling physical media with health data.
Enforcing contractual clauses that mandate breach notification within 24 hours of discovery.
Performing annual reassessments of vendor security posture based on evolving threat landscapes.
Mapping vendor responsibilities to specific ISO 27799 control objectives in service level agreements.
Prohibiting subcontracting by vendors without prior approval and privacy impact review.
Validating encryption practices for data in transit and at rest used by third-party analytics platforms.
Terminating contracts with vendors that fail to remediate critical privacy deficiencies.

Module 9: Monitoring, Audit, and Continuous Improvement

Scheduling regular internal audits of privacy controls with checklists derived from ISO 27799.
Generating automated compliance reports for audit trails in electronic health record systems.
Using audit findings to update privacy policies and retrain affected departments.
Deploying user and entity behavior analytics (UEBA) to detect subtle policy violations over time.
Tracking key performance indicators such as time to remediate access violations or DSAR fulfillment rates.
Integrating audit results into enterprise risk management dashboards for executive review.
Conducting periodic reviews of data classification schemas to reflect changes in data usage.
Updating governance documentation annually to reflect changes in technology, regulations, or organizational structure.