Alle Fallstudien
Fallstudie

HTA evidence tables an assessor can trace

A CRO evidence lead builds comparative-effectiveness reviews for payer submissions where every extracted value cites its source, answering assessor queries in seconds.
HEOR / Evidence SynthesisSystematic ReviewExtract DataAI SearchQuality signals
Every extracted value cites the statement it came from, so when a payer’s assessor questions a number, we answer in seconds. The reproducibility is better than our old spreadsheet process, not worse.
Raj PatelEvidence Synthesis Lead, CRO

Über

Raj leads evidence synthesis at a CRO producing comparative-effectiveness and cost-effectiveness reviews for HTA and payer submissions.

Die Herausforderung

HTA submissions demand a reproducible search, defensible study selection, and comparative evidence an assessor can interrogate. Assembling that across disconnected tools was slow, and defending a specific number meant hunting through spreadsheets and source PDFs.

Wie Paperguide sich einfügt

Paperguide runs the review method in one workspace and ties every extracted value to its source statement, so the comparative evidence is assessor-ready by construction.

In der Praxis

Raj’s work is built around a moment that comes long after the review is done: the moment an HTA assessor or a payer’s reviewer questions a single number in the submission. For a review like comparative effectiveness of novel anticoagulants for stroke prevention in atrial fibrillation, the credibility of the whole dossier can hinge on whether his team can immediately show where that number came from.
That single requirement reshapes how he runs the review. He documents screening and exclusion reasons so the study selection itself is defensible, then builds the comparative evidence table his submission needs, comparator, population, primary and safety endpoints, effect size, confidence interval, study quality, applicability, with every value tied to the exact statement in the source paper. When the assessor’s query arrives, answering it is no longer an archaeology expedition through spreadsheets and PDFs; it’s one click to the sentence. Before committing to the full review, he uses a quick cited search to scope how much evidence exists, and journal quality signals help his team weigh study strength during appraisal. When the extraction is done, it exports cleanly into the economic model downstream.
The benefit his team feels is not just speed of assembly, though that improves, but a change in posture: a submission built this way is interrogation-ready by construction, and the reproducibility a payer expects is better than their old spreadsheet process, not a compromise against it.

Diese Features leisten hier die Arbeit: Systematic Review, Extract Data, AI Search, Quality signals.

Ergebnisse

  • Assessor queries on a specific number answered in seconds via one-click source
  • A reproducible, documented search behind each submission
  • Comparative evidence tables assembled faster, cited throughout

Weitere Fallstudien

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