
AI assurance for healthcare
Assess, challenge and govern AI systems before they are embedded in patient care.


Lawful
LENS helps organisations establish whether the use of an AI system is legally and ethically defensible before deployment.
LENS creates a clear record of the decisions made, the evidence relied upon and any actions required before the system is approved for use.
Explainable
AI systems should be understandable enough for people to know what they are doing, what influences their outputs and where their limitations lie.
LENS develops SOP and training materials explaining:
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how the system works in practice
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what data, rules or models influence its outputs
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known limitations and uncertainty
It creates a clear record of what the system does, how its outputs should be interpreted, and what people need to know before relying on it.


Necessary
AI should only be used where it delivers a genuine benefit and is proportionate to the risks introduced.
LENS helps organisations assess:
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the intended benefits and who is expected to gain from them
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whether the use is proportionate to the risks introduced
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whether the system fits the clinical or operational context
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whether continued use remains justified over time
It creates a clear record of why AI is being used, what benefit it is expected to deliver, and why that use remains proportionate.
Safe
LENS clinical safety module supports your obligations.
The Clinical Safety module helps organisations manage:
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DCB0160 clinical safety assurance
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DCB0129 supplier clinical safety evidence
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Clinical Safety Officer (CSO) review and sign-off
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Clinical Risk Management Plans
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Clinical Safety Cases and Clinical Safety Case Reports
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Hazard Logs
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clinical risk assessment and residual risk
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safety controls and mitigations
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clinical safety incidents
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supplier safety evidence
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local deployment and implementation risks
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ongoing clinical safety monitoring and review
LENS creates a structured, auditable record of clinical hazards, controls, evidence, decisions and residual risk, supporting safer deployment of digital health technologies in NHS primary care.

