# How Advent Health Partners uses Labelbox

**8 seconds**: “with active learning and model-assisted workflows, the average dropped to 8 seconds”

As published on [labelbox.com](https://labelbox.com/customers/advent-health-partners-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Advent Health Partners](https://www.usedby.ai/companies/advent-health-partners.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)
- Teams: data science team, in-house domain experts

## What the story says

Advent Health Partners uses Labelbox as a data engine to turn unstructured medical records into labeled training data for its OCR and NLP models. It combines model-assisted workflows, active learning, and expert human review to classify pages and evaluate entity-extraction accuracy.

Summary written by usedby from the source page, in English. The figures are those of Labelbox and Advent Health Partners, not ours.

> Classifying and providing expert feedback each page used to take about 13 seconds; with active learning and model-assisted workflows, the average dropped to 8 seconds.

- **25 hours**: “we have been able to cut a full 25 hours we have been able to cut a full 25 hours from the process of generating high-quality AI data”

> By using Labelbox's model-assisted workflows, we have been able to cut a full 25 hours we have been able to cut a full 25 hours from the process of generating high-quality AI data, and we’ve found that our experts have an easier time through a software-first approach
>
> Robert Coop, Chief AI Officer

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 8 seconds is printed word for word on the page, near the name of Advent Health Partners.
- Checked: the passage quoted above is copied word for word from the page, near the name of Advent Health Partners.
- Checked: Advent Health Partners uses Labelbox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/advent-health-partners-labelbox · How we check: https://www.usedby.ai/methodology