IVDR performance reviews, consistent and cited

Marcus handles regulatory affairs for an in-vitro diagnostics manufacturer, building the performance-evaluation literature reviews IVDR requires.

IVDR performance evaluation demands consistent, traceable performance metrics across many assay studies, plus scientific-validity and clinical-performance evidence. Extracting the same fields uniformly across dozens of studies, each defensible, was slow and error-prone by hand.

Paperguide standardizes the extraction across studies and ties every value to its source, so the performance evidence is consistent and audit-ready.

For Marcus, IVDR performance evaluation is an exercise in consistency across volume. A review like clinical performance of high-sensitivity troponin assays for acute MI might span dozens of assay studies, and the report is only as strong as its weakest link: if the same performance fields aren’t captured uniformly, and traceably, across every study, the evaluation is vulnerable.

He solves that by fixing the extraction structure up front. The same fields, assay or method, reference standard, sensitivity, specificity, population, cut-off, study design, are pulled from every study into one table, so the performance evidence is uniform by construction rather than by careful manual discipline. Each value is cited to its source, and before anything reaches the performance evaluation report, a named team member confirms it, so the final table is human-verified, not machine-assumed. When a targeted question comes up, diagnostic accuracy against a particular reference method, for instance, he gets a cited answer rather than reopening every paper. The screening that decides which studies establish scientific validity and clinical performance is documented alongside.

The payoff is a performance-evaluation review that assembles faster under IVDR’s timelines while being consistent and audit-ready, the two properties that are hardest to hold together when the work is done by hand across a large study set.