Solutions · Healthcare + life sciences

Clinical evidence
that doesn’t survive
peer review.

In healthcare and life sciences, the cost of an evidence failure is not a correction notice — it’s a patient outcome, a regulatory action, or a trial result that can’t be replicated. Augle applies adversarial scrutiny to clinical evidence, trial design, coverage decisions, and drug interaction analyses before they inform a consequential choice.

Medical affairs teams reviewing clinical evidence for submissions
Health technology assessment teams evaluating coverage decisions
Clinical research teams stress-testing trial design assumptions
Payer medical directors reviewing evidence for formulary decisions
Session configuration
Guardian modeClinical integrity
DepthStandard · Deep
DocumentsClinical studies · systematic reviews · trial protocols · submissions
SVS checksRetraction DB · retracted clinical studies flagged Critical · population scope · sample size thresholds
OutputFinding · confidence grade · unresolved objections · audit trail
The problem

The evidence looks stronger than the trial design supports.

Clinical evidence passes through layers of review that share a bias: they are conducted by teams who have invested in the research, are familiar with its limitations, and have an interest in the conclusions holding. The external reviewer — a payer’s medical director, a regulatory agency, an HTA committee — has none of these interests and will find the things internal review missed. Augle runs that external review first.

Questions healthcare teams run on Augle

Does the trial’s primary endpoint actually support the efficacy claim in the submission dossier?
What will the HTA committee’s clinical reviewer say about our comparator selection and why?
Is the evidence base for this coverage decision applicable to the patient population we’re targeting?
Which subgroup analyses in this trial are adequately powered and which are exploratory findings presented as confirmatory?
Are any of the studies in this systematic review subject to retraction or known replication failure?
Retracted clinical studies in evidence bases

Clinical integrity mode flags retracted studies at Critical severity — the highest level, triggering a mandatory halt. The Guardian’s SVS checks every citation in a clinical evidence base against retraction databases before any agent receives the evidence. A retracted study does not enter the deliberation. It is flagged, and the session cannot proceed until the condition is resolved.

Trial endpoints that don’t support the submitted claim

The Methodologist evaluates construct validity — whether the primary endpoint actually measures what the efficacy claim requires. A trial that uses a surrogate endpoint where a clinical outcome endpoint is required by the HTA framework, or a composite endpoint whose components have heterogeneous clinical significance, is Contested regardless of the p-value.

Population scope mismatches between trial and target

Clinical integrity mode monitors population scope throughout the session. Evidence derived from a trial with narrow inclusion criteria being applied to a broader treatment population, or subgroup analyses being cited as primary evidence, is flagged with the exclusion criteria preserved in the evidence record — not silently accepted.

The HTA or payer objection you haven’t anticipated

The Contrarian takes the role of a well-briefed HTA clinical reviewer or payer medical director — surfacing the comparator selection challenge, the indirect comparison methodology objection, the real-world applicability question. Unresolved Strong objections appear verbatim with resolution conditions. These become the dossier preparation agenda.

How it works in practice

Three sessions.
Three clinical moments.

Each scenario illustrates realistic deliberation behaviour across HTA submission review, coverage decision analysis, and trial design assessment.

Use case 01 of 03 · Healthcare + life sciences
The HTA Submission Review
Medical Affairs Director · Pharmaceutical company · Pre-NICE submission
Deep depth · document ingestion

Does our NICE submission dossier for this oncology indication present the clinical evidence in a way that will withstand the Evidence Review Group’s scrutiny, and what are the two or three objections we need to address?

CartographerSettled: the intervention demonstrates statistically significant improvement in progression-free survival. Contested: whether PFS is an appropriate primary endpoint for this tumour type given NICE’s stated preference for overall survival data. Unknown: whether the indirect treatment comparison methodology used in the absence of head-to-head data will be accepted by the ERG.
MethodologistConstruct validity concern: the submission uses PFS as the primary endpoint in a tumour type where NICE’s technology appraisal guidance states a preference for OS data. The dossier does not directly address this preference or provide a justification for the PFS primary endpoint. The ERG’s first question will be about this. Confidence ceiling on primary efficacy claim: Probable.
ContrarianStrong objection (Unresolved): "The indirect treatment comparison uses a methodology that the ERG flagged as unreliable in two previous submissions in this tumour type. The dossier does not acknowledge this history or address the methodological concerns previously raised. This will be identified immediately by a reviewer familiar with the appraisal committee’s history."
Pragmatist(1) Add a section directly addressing the PFS vs OS endpoint preference with clinical justification. (2) Address the ITC methodology concern by name — acknowledging the previous ERG position and explaining why the approach is appropriate in this context. Both are addressable. Neither is currently addressed.
Session output
FindingProbable for PFS efficacy · Contested for ITC methodology acceptability
Key gap 1PFS endpoint not justified against NICE’s OS preference for this tumour type
Key gap 2ITC methodology previously flagged by ERG — history not acknowledged in dossier
Next stepAdd endpoint justification section + ITC methodology response before submission
The value

Both gaps were addressable — but only if they were addressed proactively in the dossier rather than reactively in the clarification round. The ERG’s clarification questions add months to the appraisal timeline. A dossier that anticipates the questions gets a faster decision.

Use case 02 of 03 · Healthcare + life sciences
The Coverage Decision Review
Medical Director · Large US health plan · Formulary committee preparation
Standard depth · document ingestion

Is the clinical evidence presented in this prior authorisation request for a GLP-1 receptor agonist sufficient to support coverage for the requested indication, and what are the coverage criteria gaps?

Guardian SVSAll primary citations verified. One study cited in the real-world evidence section was retracted in 2024 due to data integrity concerns. Flagged Critical — session halted pending resolution. Evidence node removed from the admissible evidence base.
CartographerAfter retraction resolution: Settled: the drug class demonstrates weight reduction efficacy in the trial population. Contested: whether the trial population’s BMI and comorbidity profile matches the requesting patient’s clinical characteristics. Unknown: long-run cardiovascular outcome data for patients in the 30–35 BMI range without established cardiovascular disease.
ContrarianModerate objection: "The request cites SURMOUNT-1 efficacy data but the patient’s BMI is 31 with no cardiovascular comorbidity. SURMOUNT-1’s primary population had mean BMI of 38. The formulary committee will question whether the effect size applies to this patient at this BMI without the cardiovascular indication."
Session output
SVS flagCritical — retracted 2024 real-world evidence study identified and removed
FindingProbable for efficacy in primary trial population · Contested for this patient’s BMI/comorbidity profile
Coverage gapTrial population mismatch — BMI 38 vs patient BMI 31, no cardiovascular comorbidity
DecisionPrior authorisation declined pending additional clinical documentation for lower BMI indication
The value

The retracted real-world evidence study would have remained in the coverage decision record without SVS. The population mismatch would have been identified by the formulary committee — but after a coverage decision had been issued rather than before. Both were caught at the review stage, not after the fact.

Use case 03 of 03 · Healthcare + life sciences
The Trial Design Review
Clinical Research Director · Biotech · Phase III trial design finalisation
Standard depth

Does our Phase III trial design for this rare disease indication adequately power the primary endpoint, and what are the design decisions most likely to be challenged at the FDA pre-submission meeting?

MethodologistSample size concern: the trial is powered at 80% for the primary endpoint using an assumed effect size derived from Phase II data in a population of 34 patients. The Phase II population was enriched for biomarker-positive patients. The Phase III protocol does not restrict enrolment to biomarker-positive patients. The assumed effect size may not hold in the broader population. Confidence on primary endpoint powering: Contested.
ContrarianStrong objection (Unresolved): "The FDA’s recent guidance on rare disease trials specifically cautions against using enriched Phase II populations to power Phase III designs when Phase III enrolment is unrestricted. This design decision will be the first question at the pre-submission meeting. The team should have an answer before they are in the room."
PragmatistTwo options: (1) Restrict Phase III enrolment to biomarker-positive patients to preserve the Phase II effect size assumption — requires a companion diagnostic. (2) Re-power the trial using a conservative effect size for the unrestricted population — increases sample size but eliminates the design challenge. Prepare both scenarios for the pre-submission meeting.
Session output
FindingContested — primary endpoint powering assumption may not hold in unrestricted population
Key riskPhase II enriched population effect size used to power Phase III unrestricted enrolment
FDA riskRecent guidance specifically cautions against this design approach for rare disease indications
Next stepPrepare two design scenarios — biomarker restriction vs conservative re-powering — before pre-submission meeting
The value

The FDA’s recent guidance was published. The design decision predated it. No one had mapped the guidance to the protocol. Walking into the pre-submission meeting with two prepared scenarios — rather than hearing the question for the first time — is the difference between a productive meeting and a protocol redesign.

How Augle works for healthcare

Clinical evidence reviewed
to the standard it will face.

1
Submit your clinical materials

Upload clinical study reports, systematic reviews, submission dossiers, trial protocols, and coverage decision packages. Clinical integrity mode activates — the Guardian checks every citation against retraction databases, flags retracted clinical studies at Critical severity, monitors population scope, and validates sample size thresholds against claim strength.

2
The ensemble maps the evidence landscape

The Cartographer classifies every clinical claim as Settled, Contested, or Unknown within the relevant evidence base. The Methodologist evaluates construct validity — whether the endpoint measures what the claim requires, whether the population matches the target, whether subgroup analyses are adequately powered. Confidence bounds are set as hard constraints.

3
The reviewer’s objections are run

The Contrarian takes the role of a well-briefed HTA clinical reviewer, payer medical director, or FDA reviewer — surfacing the comparator selection challenge, the endpoint appropriateness question, the population scope objection. Unresolved Strong objections appear verbatim with resolution conditions. These become the dossier preparation agenda.

4
You receive an auditable clinical evidence record

The full session audit trail — SVS verification outcomes, confidence grades per claim, objections raised and their resolution status — is exportable. For regulatory submissions, HTA dossiers, and coverage decisions, this is the record that demonstrates the evidence base was reviewed to the standard the decision requires.

Healthcare session · configuration
Guardian mode
Clinical integrity — retraction database (Critical flag), population scope monitoring, sample size threshold checking, off-label framing detection, exclusion criteria preservation
Document types
Clinical study reports · Systematic reviews · HTA dossiers · Trial protocols · Coverage decision packages · Formulary submissions
Contrarian focus
HTA committee objections · endpoint appropriateness · comparator selection · population scope · ITC methodology · trial design challenges
Output package
Confidence grade per clinical claim · unresolved objections verbatim · SVS record with retraction flags · exportable audit trail for regulatory use
Session depth
Standard for coverage decisions and evidence reviews · Deep for HTA submissions and Phase III design with clinical expert review
Why Augle for healthcare

Evidence reviewed to the
standard it will face.

Retracted clinical studies flagged at Critical

Clinical integrity mode flags retracted studies at Critical severity — the highest level, triggering a session halt. A retracted study in a clinical evidence base is not a data quality issue — it is a fundamental integrity failure. The Guardian’s SVS catches it before it enters the deliberation. It should not reach an HTA committee, a formulary review, or a regulatory submission.

Runs the HTA reviewer’s questions in advance

The Contrarian is calibrated to surface the objection an ERG clinical reviewer, a NICE committee, or a payer medical director will raise — comparator selection, endpoint appropriateness, ITC methodology, population scope. These appear verbatim with resolution conditions. A dossier that anticipates and answers these questions proactively gets a faster and more predictable decision.

Produces an auditable evidence record

Every session produces an exportable audit trail with SVS verification outcomes, confidence grades per clinical claim, and every objection raised and its resolution status. For regulatory submissions, HTA dossiers, and formulary decisions subject to review, this record demonstrates that the evidence base was evaluated to a standard consistent with the decision’s stakes.

Clinical evidence reviewed
to the standard it will face.

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