Healthcare
HIPAA‑Aware MLOps Pipeline for Healthcare (Example)
Demo example: This page presents a hypothetical scenario to illustrate our approach. It does not describe a specific client engagement.
The Challenge
Example scenario: A healthcare AI team needs to operationalize models while protecting PHI and aligning with HIPAA-related controls.
The Solution
Possible approach: Build a secure, end-to-end MLOps pathway with data de-identification, encryption, audit trails for training/inference, gated releases, and automated retraining workflows.
Illustrative Impact
- Accelerate safe model delivery with standardized, traceable release processes.
- Improve reproducibility and governance with versioned datasets and models.
- Detect drift and quality regressions with continuous monitoring and alerts.
- Enable privacy-by-design via encryption, least privilege, and network isolation.