Clinical Analytics OS — EP9 Workspace

Overview

Confirm experiment identity, methods, units, and current workflow state.

ProjectNo project selected

ExperimentNo experiment selected

Comparative Method (X)Comparative method

Candidate Method (Y)Candidate method

UnitsNot specified

DataNo Data

CriteriaCriteria Not Configured

AnalysisNot Analyzed

ReportReport Unavailable

Create EP9 Experiment

Create a saved EP9 run under the current project.

Run Name

Comparative Method Name (X)

Candidate Method Name (Y)

Units

Create a project first, then create the run.

Data

Import or enter paired observations, review saved rows, and manage inclusion.

Saved Paired Data

Rows loaded or imported into this table are already saved. Edit values directly, include/exclude rows, then save each edited row or use Save All Rows to save table edits.

No run loaded

No EP9 run loaded.

No data points loaded yet.

Import Data

Import Mapped File

CAOS EP9 Beta may be used only with synthetic data or other data that the user is explicitly authorized to use and that is nonconfidential. Do not enter patient identifiers, PHI, confidential employer data, confidential laboratory data, clinical production data, or data for regulated production use.

Import a mapped CSV or XLSX file into the current saved EP9 run. A successful import saves the imported rows immediately and displays them in the table below.

Mapped CSV/XLSX File

Use a mapped file with columns such as sample_id, comparative_result, and candidate_result.

For demo/practice data: select an EP9 scenario, download the CSV, then upload it above as the mapped file.

EP9 Demo Scenario

Download Download Selected EP9 CSV

Upload the downloaded demo CSV above. Suggested mapping: sample_id, comparative_result, candidate_result.

File Type

Use csv or xlsx. The value is auto-detected when possible.

Sample ID Column

Comparative Method Column (X)

Candidate Method Column (Y)

Replace Existing Saved Data Points?

If checked, the file is validated first. Then the existing saved rows for this run are deleted and replaced by the imported rows.

Durable Import History

Import provenance unavailable for legacy rows/results.

Add Data

Add Paired Data Point

Add paired Comparative Method (X) and Candidate Method (Y) result rows. Bias is Candidate - Comparative = Y - X.

Sample ID

Comparative Method Value (X)

Candidate Method Value (Y)

Sort Order

Point Notes

Create an EP9 run first, then add data points.

Criteria

Configure only the authorized attributable criteria. Blank thresholds remain unconfigured.

Optional Absolute Mean Bias Criterion

Maximum Absolute Mean Bias

Absolute Bias Criterion Units

Absolute Bias Source Title

Absolute Bias Source Reference

Absolute Bias Source Version

Absolute Bias Effective Date

Optional Pearson Correlation Criterion

Minimum Signed Pearson r

Pearson Criterion Units

Pearson Criterion Source Title

Pearson Source Reference

Pearson Source Version

Pearson Effective Date

Criteria require a threshold, compatible units, and an attributable source title. No criterion is silently supplied. Criteria are saved only by the explicit Analyze action.

Results

Run explicit saved analysis or review the current authoritative canonical result.

Analyze the currently loaded saved run using included data points only. This is the only action that creates or replaces the authoritative result.

EP9 Method Comparison Plots

Plots use the canonical coordinates saved by explicit analysis.

Analysis Summary

Sample Count —

Mean Bias (Y - X) —

Pearson r —

Configured criteria status —

OLS Regression (Candidate Y on Comparative X) —

Withheld results and provenance

Aggregate Percent Bias —

Deming Regression —

Deming Availability —

Mean-Bias Confidence Interval —

Configured Criteria and Provenance

Import Provenance

Analytical Provenance

Report

Use the current saved analysis for review and PDF reporting.

No EP9 run loaded for reporting.

AI-Assisted Summary — For Review

AI-assisted draft. Not a clinical determination. Requires review by qualified laboratory personnel.