Regulated Buyer Readiness Checklist

A practical self-assessment for health tech scale-ups selling into regulated healthcare markets.

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This checklist is designed to help health tech companies assess whether their data privacy, security, and AI governance posture is ready for engagement with regulated buyers such as national health services, government agencies, large healthcare providers, or for progression through medical device and federal healthcare compliance pathways.

It reflects the types of evidence most commonly requested during procurement, assurance, and regulatory review.


1. Organisational governance & accountability

Clear ownership of data protection and privacy (e.g. DPO, privacy lead, or equivalent)
Defined roles and responsibilities for data protection, security, and AI governance
Up-to-date privacy policies and internal data handling standards approved by leadership
Regular review cycle for privacy and security governance (not one-off compliance)


2. Data mapping & transparency

Comprehensive inventory of personal and health data processed
Documented data flows showing collection, storage, processing, sharing, and deletion
Clear identification of sensitive data (health, biometric, genetic, children’s data)
Accurate and accessible privacy notices aligned to actual data practices


3. Lawful basis & consent management

Lawful basis identified for each category of processing in each key jurisdiction
Explicit consent mechanisms in place for sensitive health data where required
No bundled or “forced” consent for optional processing (e.g. marketing, analytics)
Ability for users to withdraw consent easily and for systems to honour that choice
Evidence of consent capture and auditability


4. Risk assessments & assurance

Data Protection Impact Assessments (DPIAs / PIAs) completed for high-risk processing
AI or automated decision-making risk assessments where relevant
Clear mitigation actions documented and implemented
Escalation process defined where residual risk remains
Assessments reviewed when products or data uses change


5. Security & incident readiness

Baseline security controls implemented (access control, encryption, logging)
Secure development lifecycle practices in place
Tested incident response plan covering data breaches and security incidents
Jurisdiction-specific breach notification timelines understood and documented
Evidence of regular security and privacy training for staff


6. Supplier & supply-chain assurance

Inventory of all third parties and vendors with access to personal or health data
Data processing agreements in place with appropriate privacy and security clauses
Sub-processor visibility and approval mechanisms
Periodic vendor risk reviews or audits
Controls in place for SDKs, analytics tools, and embedded third-party components


7. International data transfers

Clear record of where data is stored and processed globally
Transfer mechanisms implemented where required (e.g. SCCs, IDTA, TIAs)
Jurisdiction-specific transfer rules understood (EU/UK, India, Middle East, Caribbean)
Central register of international transfers maintained and reviewed


8. AI governance & responsible use (if applicable)

Inventory of AI models and automated decision systems in use
Defined purpose and scope for each AI use case
Controls for data used in training and inference
Bias, accuracy, and performance evaluation processes
Human oversight for high-impact or health-related decisions
Clear user transparency about AI involvement


9. Regulated buyer & NHS readiness

Evidence aligned to public sector procurement expectations
NHS DSP Toolkit position understood and achievable
Alignment with NHS DTAC data protection and cyber security criteria
Ability to respond quickly to security and privacy due-diligence questionnaires
Audit-ready documentation available on request


10. Medical device & federal healthcare pathways (where relevant)

Clear understanding of whether the product qualifies as SaMD
Privacy and security risks addressed as part of product lifecycle management
Documentation supporting safety, effectiveness, and post-market monitoring
HIPAA-aligned controls in place where selling into US healthcare environments
Evidence suitable for FDA, MHRA, or equivalent regulatory review


How to use this checklist

    • Mostly ticked? You are likely well-positioned to engage regulated buyers and progress through formal assurance processes.
    • Several gaps? These are common for growing health tech companies and can usually be addressed quickly with a structured, risk-based approach.
    • Unsure how to evidence items? That uncertainty itself is often what delays procurement or regulatory approval.

Failing to get the ticks you need? Contact us to find out how we can help.

 

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