Privacy and AI governance for health data

Data governance for healthcare, life sciences and pharma

Govern sensitive health, research, patient and clinical data across teams, studies, vendors and AI-enabled systems.
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Strengthen governance across health, research and AI

Connect sensitive data, studies, vendors and responsible owners across clinical and operational environments.
Create visibility over sensitive data
Connect studies, care processes, systems, datasets, vendors, transfers and accountable owners across research and operations.
Assess high-risk use before deployment
Run structured DPIA, vendor, transfer and AI assessments for clinical, research and operational initiatives.
Document purpose and consent
Maintain evidence of data use, lawful basis, consent, secondary-use decisions, controls and approvals.
Coordinate multidisciplinary governance
Give privacy, research, clinical, regulatory, security, procurement and data teams a shared operational record.
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The governance challenge in healthcare, life sciences and pharma

Healthcare and life-sciences organisations manage patient, clinical, research, genomic, safety, pharmacovigilance and workforce data across hospitals, laboratories, studies, partners and global systems. Much of this information is highly sensitive, and its use may affect care, research participation, product safety or access to services.

Secondary research, international collaboration and AI-enabled clinical or operational tools create a continuous need to document purpose, lawful basis, consent, access, quality, oversight and risk controls. Privacy governance must connect with clinical, ethics, regulatory, security and research processes rather than operate separately.

Key privacy, AI and data risks

  • Large-scale processing of health and other sensitive data across care, research and trials.
  • Complex consent, lawful-basis and secondary-use decisions involving several stakeholders.
  • Clinical, research and operational AI systems requiring documentation, validation and oversight.
  • Long processor and research-partner chains with international data transfers.
  • Overlapping privacy, clinical, ethics, safety, security and contractual obligations.

Regulatory landscape

The applicable framework may include the GDPR and national health-data laws, HIPAA where relevant, clinical-research, ethics and pharmacovigilance requirements, medical-device or software rules, contractual research obligations and the EU AI Act for applicable systems. The correct requirements depend on the activity, role, jurisdiction, product and data.

Specialist legal, clinical, ethics and regulatory review is essential for decisions that affect patient care, research participants or regulated products.

How TrustWorks supports health and life-sciences teams

  • Connect processing activities, systems, studies, datasets, vendors and owners.
  • Run DPIA, transfer, vendor and AI-assessment workflows with documented approvals.
  • Record consent, lawful basis, purpose and secondary-use decisions.
  • Register AI systems and maintain risk, oversight and monitoring evidence.
  • Coordinate issues and remediation across privacy, clinical, research and security teams.

Operational outcomes

Connected governance improves evidence quality for audits, partners and internal review while reducing fragmented coordination. Teams can identify sensitive-data and AI risks earlier and maintain a clearer history of decisions, safeguards and outstanding actions across programmes and jurisdictions.

TrustWorks supports governance workflows and evidence management. It does not provide clinical, ethics, regulatory or legal conclusions; qualified specialists remain responsible for final decisions.

Frequently Asked Questions

It helps teams document processing, purpose, systems, datasets, recipients, owners, risks and controls for sensitive-data workflows.

Yes. Shared standards can be reused while distinct studies, care activities and business processes retain their own records and assessments.

Yes. Teams can register systems, classify risk, document data and intended use, assign oversight, complete assessments and monitor changes.

No. It structures workflows and evidence. Qualified clinical, ethics, legal and regulatory specialists make final determinations.

Yes. Providers, agreements, locations, assessments, safeguards and issues can be linked to the research or operational activities they support.

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