Ep Evaluator 12 (90% Validated)
| Pros | Cons | | :--- | :--- | | Saves 50%+ time on method validation | Subscription model adds annual budget line | | CLSI EP09c, EP15, EP17 fully compliant | Overkill for labs that run only 3 tests | | "Smart Interpretation" teaches statistics | Requires basic stats knowledge to override | | Beautiful, modern graphs for presentations | No LIS integration (manual data entry still needed) |
Provides high-quality statistical analysis to identify potential biases or inaccuracies in new methods, safeguarding patient diagnostics.
: Supports complex quantitative method comparisons, including Deming regression and calculations for Total Error Allowable (TEa) Precision Studies Simple Precision : Standard calculations for Mean, SD, and CV. Complex Precision ep evaluator 12
Data migration from legacy systems is handled by EP Dimensions’ onboarding team, who will convert proprietary database formats into the open .EPXML standard used by version 12. This ensures that no historical patient data is lost during the upgrade.
EP Evaluator 12 can be integrated with laboratory information systems and often works in conjunction with Microsoft Office 365, allowing data to be exported to Excel for customized manipulation. Benefits of Using EP Evaluator 12 in Your Laboratory | Pros | Cons | | :--- |
model to determine if your lab's results are clinically acceptable. Data Innovations What it shows: A visual "PASS/FAIL" status. It plots your Observed SD (green bar) against your Allowable SD (red line).
In modern laboratory research, EP Evaluator 12 is frequently used to verify the performance of new assays. For instance, it has been used to: This ensures that no historical patient data is
: Tools like the EP09-A3 module (a major highlight of the Release 12 series) allow for advanced bias estimation and comparison using patient samples according to the latest CLSI standards .
: For experiments that require manual data input or spreadsheet scraping, the RRE tool includes stricter automated filtering. It scans data configurations for incorrect replicates or mismatched run timestamps on modules like Limit of Quantitation (LoQ) and Complex Precision, automatically excluding corrupt variables before processing. Essential Statistical Modules