The Clinical Risk Review Playbook: How to Identify Regulatory Risk in Clinical Claims

Overview

Clinical claims review requires identifying every explicit and implicit statement about what a device does clinically before regulatory decisions are finalised. It applies when product, marketing, and technical documentation begin to define device capabilities and clinical value.

The core problem is that claims are often embedded informally across documents, which leads to inconsistent interpretation and missed regulatory implications. Teams may focus on obvious promotional language while overlooking implied diagnostic or therapeutic claims. A structured review process produces a complete inventory of claims, a clear understanding of their regulatory impact, and alignment between documentation and intended use.

Automatan supports this by surfacing structured Insights including Claims and Clinical Assertions, Regulatory Impact of Claims, Promotional Claims, and Diagnostic or Therapeutic Decisions. The steps below walk through how to use those outputs to build a consistent and defensible clinical claims review process.

How to Review Clinical Claims for Medical Devices: Step by Step

Step 1: Extract All Clinical and Promotional Claims

Missed claims create hidden regulatory risk that surfaces late in the process.
Automatan surfaces Claims and Clinical Assertions and Promotional Claims Insights across all documents, providing a complete inventory of stated and implied claims. Use this to ensure no claim is overlooked.

What to check:

  • Are all explicit clinical claims captured across technical, marketing, and product documentation?
  • Do Promotional Claims include implied clinical benefits that require further scrutiny?
  • Are there documents where claims appear indirectly through phrasing rather than direct statements?
  • Which claims lack clear supporting context or appear incomplete?

Step 2: Identify Claims with Diagnostic or Therapeutic Implications

Unidentified clinical influence leads to incorrect classification and regulatory pathway assumptions.
Automatan surfaces Diagnostic or Therapeutic Decisions Insights that highlight whether claims influence diagnosis or treatment. Use this to separate low-risk claims from those with higher regulatory impact.

What to check:

  • Do any claims suggest the device informs or drives clinical decision-making?
  • Are there borderline claims that could be interpreted as diagnostic or therapeutic depending on wording?
  • Have you identified claims that elevate the device’s regulatory classification?
  • Is there a risk signal where a claim implies more clinical influence than intended?

Step 3: Evaluate Regulatory Impact of Each Claim

Unassessed claims can shift regulatory requirements without being recognised.
Automatan surfaces Regulatory Impact of Claims Insights, linking each claim to potential regulatory consequences. Use this to prioritise which claims require modification, support, or removal.

What to check:

  • Does each claim have a clear regulatory implication that has been evaluated?
  • Are there claims that introduce higher evidence requirements than currently planned?
  • Have you flagged claims that could trigger stricter regulatory pathways?
  • Are there unsupported claims that should be revised or removed?

Step 4: Align Claims with Intended Use and Device Definition

Misaligned claims create inconsistencies that undermine regulatory submissions.
Automatan structures Claims and Clinical Assertions alongside device context, allowing comparison with intended use definitions. Use this to ensure all claims support the defined purpose of the device.

What to check:

  • Do all claims align with the defined intended use of the device?
  • Are there claims that extend beyond the approved or planned scope of use?
  • Have inconsistencies between claims and device definition been resolved?
  • Is there a risk that certain claims contradict regulatory positioning?

Step 5: Standardise and Consolidate Approved Claims

Fragmented claims create confusion and inconsistency across documentation.
Automatan structures validated claims into a consistent set, making it easier to standardise language across materials. Use this to create a single source of truth for all approved claims.

What to check:

  • Is there a single, consistent set of approved claims used across all documents?
  • Have duplicate or conflicting claims been removed or harmonised?
  • Are all claims written clearly without ambiguity or exaggeration?
  • Is there any remaining claim that introduces uncertainty or risk?

Step 6: Document Rationale and Prepare for Regulatory Review

Undocumented decisions are difficult to defend during audits or submissions.
Automatan organises all claim-related Insights into a structured record, linking claims to their regulatory impact and supporting rationale. Use this to ensure every decision is traceable and defensible.

What to check:

  • Can each claim decision be explained with clear supporting rationale and evidence?
  • Have all rejected or modified claims been documented with justification?
  • Are there unresolved questions that need further validation before submission?
  • Is the claims set ready to support regulatory review without ambiguity?

Five Clinical Claims Review Mistakes That Trigger Regulatory Scrutiny

Overlooking implicit clinical claims in documentation. This leads to unexpected regulatory classification changes and increased scrutiny. Teams often focus only on explicit marketing claims while missing implied clinical assertions. Review all documents for indirect language that suggests clinical use.

Treating promotional language as non-regulatory. This creates gaps where marketing statements introduce regulatory risk. Promotional materials can imply diagnostic or therapeutic roles even when not intended. Evaluate all outward-facing language with the same rigor as technical documentation.

Failing to assess diagnostic or therapeutic impact. This results in misclassification and incorrect regulatory pathway assumptions. Claims that influence clinical decisions carry higher regulatory implications. Identify whether the device informs or drives diagnosis or treatment.

Allowing inconsistent claims across documents. This creates conflicting interpretations that weaken regulatory submissions. Different teams may describe the device differently depending on context. Align all claims into a consistent and validated set.

Not documenting the rationale behind claim decisions. This makes it difficult to defend claims during regulatory review. Decisions made informally are hard to reconstruct later. Maintain clear justification for each accepted, modified, or rejected claim.

Insights Automatan Surfaces for This Playbook

Insights What It Shows When to Use It
Claims and Clinical Assertions Extracted statements describing device clinical use, benefits, and outcomes across all documentation Identify all claims
Promotional Claims Marketing-oriented statements that may imply clinical benefits or outcomes Review marketing language
Diagnostic or Therapeutic Decisions Indicators of whether claims influence diagnosis or treatment decisions in clinical settings Assess clinical influence
Regulatory Impact of Claims Mapping of each claim to potential regulatory consequences and classification implications Evaluate claim risk

Frequently Asked Questions