A Multidimensional Framework for Evaluating Health Data Integrity in AI Systems
Jason Alan Snyder — SuperTruth Inc.
The Data Trust Index (DTI) is a scoring framework that assigns a continuous integrity score from 0 to 100 to health data records prior to their use in downstream AI inference. DTI evaluates eight weighted dimensions: Provenance (25%), Consent (20%), Recency (15%), Quality (10%), Concordance (10%), Validation (10%), Breadth (5%), and Stability (5%).
Think of it as the FICO score for health data.
| # | Dimension | Weight |
|---|---|---|
| 1 | Provenance | 25% |
| 2 | Consent | 20% |
| 3 | Recency | 15% |
| 4 | Quality | 10% |
| 5 | Concordance | 10% |
| 6 | Validation | 10% |
| 7 | Breadth | 5% |
| 8 | Stability | 5% |
| Tier | Score | Use |
|---|---|---|
| Bronze | 55–69 | Exploratory research |
| Silver | 70–79 | Operational analytics |
| Gold | 80–89 | Clinical decision support |
| Platinum | 90+ | Regulatory submission |
paper.md— Full manuscript (Markdown source)paper.html— Rendered HTML version
Preprint:
Snyder, J. A. (2026). The Data Trust Index: A Multidimensional Framework for Evaluating Health Data Integrity in AI Systems. Zenodo. https://doi.org/10.5281/zenodo.19601616
SuperTruth is the trust layer underneath healthcare data and AI. The DTI is the core scoring framework powering the SuperTruth platform.
- Website: supertruth.ai
- Contact: jas@supertruth.ai
- Patent: SuperTruth0010CP1 (pending)
The paper and framework description are published under CC BY 4.0. You are free to share and adapt with attribution.
© 2026 SuperTruth Inc. The Data Trust Index and DTI are trademarks of SuperTruth Inc.