> ## Documentation Index
> Fetch the complete documentation index at: https://docs.asclevor.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data quality: confidence scoring, sources, and review

> How Asclevor maintains medical data accuracy through confidence scoring, source tracking, expert review workflows, and versioned ontology releases.

Medical data demands accuracy. Here's how we maintain it.

## Confidence Scoring

Every entity and relationship in the ontology carries a confidence level:

| Level      | Meaning                                             |
| ---------- | --------------------------------------------------- |
| **High**   | Validated by medical advisor, peer-reviewed sources |
| **Medium** | Cross-referenced from 2+ public databases           |
| **Low**    | Community-contributed, pending expert review        |

Developers can filter by confidence level depending on their use case — consumer wellness apps may accept medium confidence; clinical-adjacent tools can restrict to high only.

## Review Process

1. Data enters from public medical databases or community contribution
2. Automated cross-referencing against ICD-10, PubMed
3. Medical advisor review for clinical accuracy
4. Confidence score assigned
5. Published to ontology with provenance metadata

## Error Reporting

Found an inaccuracy? Our community correction pipeline accepts flagged issues with expert review gates. No unvalidated change reaches the production ontology.

## Transparency

Every API response will include:

* Ontology version number
* Last review date for the returned entity
* Confidence level
* Source attribution