Clinical Analytics OS — EP9 Workspace

Create a saved project, create an EP9 run, add/edit data points, analyze the saved run, and generate a PDF report from the saved workspace.

Clinical Analytics OS Home EP5 Workspace

Prototype notice: This local workspace is for development only. It is not a validated clinical product and is not intended for clinical decision-making, diagnostic use, or patient care use.

Current Project None created yet

Current EP9 Run None created yet

Load Existing Project / Run

Use the project/run selector as the primary loading method. Manual run ID loading is available as a backup.

Primary: Load by Project and Run

Load saved projects, choose a project, then choose one of its EP9 runs.

Saved Projects

Click Load Projects to refresh the project list.

Saved EP9 Runs

Select a project, then load runs for that project.

Backup: Load by Manual Run ID

Use this only when you already know the EP9 run ID.

Manual EP9 Run ID

Manual backup if you already know the run ID. Loading a run manually automatically switches to the project that owns that run.

1. Create Project

Create a top-level validation or method comparison project.

Project Name

Analyte

Department

Instrument A

Instrument B

Project Notes

2. Create EP9 Run

Create a saved EP9 run under the current project.

Run Name

Method A Name

Method B Name

Units

Max Absolute Mean Bias

Max Absolute Mean Percent Bias

Minimum Regression r

Deming Lambda

After changing bias/r/lambda criteria, click Save Criteria & Analyze EP9 Run. AI-assisted summary and PDF generation also save the current criteria automatically.

Create a project first, then create the run.

3. Import Mapped File into Saved Run

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

Method A Column

Method B Column

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.

4. Add Data Point

Add paired Method A and Method B result rows to the current saved run.

Sample ID

Method A Value

Method B Value

Sort Order

Point Notes

Create an EP9 run first, then add data points.

5. Saved Data Points

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.

6. Analyze and Report

Analyze the currently loaded saved run using included data points only, then generate a PDF report.

No EP9 run loaded for analysis/reporting.

Analysis Summary

Sample Count —

Mean Bias —

Mean Percent Bias —

Status —

Regression r —

Deming Slope —

Deming Intercept —

Mean Bias 95% CI —

EP9 Method Comparison Plots

Plots are generated from the currently analyzed included data points.

AI-Assisted Summary — For Review

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