Industry solutions

Healthcare and life sciences

Protect sensitive records, support collaboration, and improve administrative workflows without treating AI as a substitute for clinical judgment.

Sensitive-record protectionAppropriate workforce accessTrusted research collaboration

8 use cases across 3 service areas

Framework connections explain relevant planning considerations, not a certification or a finding that a rule applies. Confirm scope and obligations with accountable stakeholders. Explore the ten framework references.

Security

Govern a changing workforce's access

Role changes, temporary staff, and external collaborators complicate access management.

Approach

Map responsibilities to access, establish sponsorship and review, and stage stronger authentication and privileged-access controls.

Deliverables

  • Identity lifecycle and access design
  • Pilot rollout and exception procedures

Success measures: Overdue access reviews and unnecessary standing privilege.

Requirements to consider

Preserve tested emergency access and clinical continuity.

Framework connections

  • CISA ZTMMUse the Identity and Devices pillars to sequence workforce access improvements while retaining tested emergency access and clinical continuity.

Security

Improve sensitive-record handling

Records move across collaboration tools with inconsistent classification and sharing.

Approach

Identify in-scope repositories, define handling requirements, and pilot labeling and data loss prevention with privacy stakeholders.

Deliverables

  • Data handling taxonomy
  • Prioritized protection-policy rollout

Success measures: Classification coverage and unresolved sharing exceptions.

Requirements to consider

Validate applicable privacy obligations, authorizations, and retention requirements separately.

AI Business Solutions

Assist administrative knowledge work

Staff spend time locating current administrative policies and procedures.

Approach

Ground an assistant in approved administrative content, require citations, and test authorized and denied retrieval.

Deliverables

  • Approved knowledge collection
  • Evaluation and staff enablement plan

Success measures: Answer usefulness, source freshness, and escalation quality.

Requirements to consider

Exclude diagnosis, treatment recommendations, and autonomous clinical decisions.

Cloud & AI

Build a governed research data foundation

Research teams need reliable data without uncontrolled reuse or sharing.

Approach

Design access-scoped data products with documented provenance, quality, ownership, and approved reuse boundaries.

Deliverables

  • Research data-platform blueprint
  • Data quality and access controls

Success measures: Quality-rule coverage and timely authorized access.

Requirements to consider

Respect consent, purpose limitations, and review-board requirements where applicable.

Framework connections

  • GDPRWhere research personal-data processing falls within GDPR scope, document lawful basis, sensitive-data conditions, permitted reuse, and transfer safeguards.

Security

Align security triage with care-service continuity

Security investigations lack clear context about the services affected by proposed response actions.

Approach

Map in-scope business services to detection use cases and escalation owners, then exercise response recommendations with continuity stakeholders.

Deliverables

  • Service-aware detection and escalation map
  • Incident tabletop and improvement plan

Success measures: Investigation quality and documented response ownership.

Requirements to consider

Clinical continuity takes priority; containment affecting care systems requires explicit authorization and specialist input.

AI Business Solutions

Route administrative service requests consistently

Nonclinical requests lose ownership as they pass between departments and support teams.

Approach

Map authorized administrative requests, connect approved records, and route work through defined queues, approvals, and exception paths.

Deliverables

  • Administrative service workflow
  • Ownership and escalation procedures

Success measures: Request age, repeated handoffs, and completion quality.

Requirements to consider

Do not automate clinical triage or access-to-care decisions through an administrative workflow.

Cloud & AI

Evaluate nonclinical research AI applications

Research support prototypes lack consistent data boundaries and evaluation evidence.

Approach

Design a bounded platform for approved nonclinical tasks with controlled sources, traceable evaluations, and reviewed release decisions.

Deliverables

  • Research-support AI architecture
  • Data-use and evaluation criteria

Success measures: Source validity, task quality, and unresolved release risks.

Requirements to consider

Respect study permissions and consent; exclude diagnosis and treatment recommendations from this scope.

Framework connections

  • EU AI ActWhere the Act applies, assess the specific research use and organizational role rather than assuming every research activity is exempt or every health-related assistant is high-risk.
  • NIST AI RMFEvaluate the approved nonclinical task, source limitations, and affected stakeholders before agreeing research-support release criteria.

Cloud & AI

Validate recovery of administrative platforms

Administrative applications have undocumented dependencies and untested recovery assumptions.

Approach

Assess the authorized application scope, define recovery priorities, and plan nondisruptive exercises with clear ownership and rollback.

Deliverables

  • Application dependency and recovery plan
  • Exercise evidence and remediation backlog

Success measures: Recovery readiness and closure of critical dependency gaps.

Requirements to consider

Separate administrative testing from clinical systems and obtain approval for all production-impacting work.

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