Open Source Accelerator

EHR Data Standardization: PHI Detection & FHIR Conversion

Transform messy, unstandardized Electronic Health Record data into clean, privacy-safe, FHIR-formatted data that can be safely shared or analyzed.
Two AI agents work together to automate HIPAA-compliant data cleaning and standardization.

How It Works

A two-agent system that separates schema analysis from data transformation

Step 1

Schema Identification

AI reviews the structure of incoming data—field names only, not patient data—to detect PHI/PII fields and flag them for removal.

Step 2

Data Standardization

After sensitive fields are removed, the second agent reformats cleaned records into FHIR-compliant bundles.

Clean, Standardized FHIR Data

The system outputs HIPAA-compliant FHIR bundles ready for safe sharing, research, analytics, or interoperability with other healthcare systems.

Core Capabilities

Enterprise-grade data standardization with built-in compliance

Automatic PHI Detection

Identifies names, phone numbers, addresses, SSNs, and other protected health information automatically.

FHIR Conversion

Converts cleaned data to HL7 FHIR format—the international standard for healthcare data exchange.

HIPAA Compliance

Date fields are transformed to retain only the year, keeping data HIPAA compliant.

Schema Analysis

Comprehensive field-by-field analysis with AI recommendations for standardization.

FHIR R4 Compliant

Structured Output for Interoperability

The system produces consistent, machine-readable FHIR bundles where patients, encounters, diagnoses, labs, and medications are structured according to modern healthcare data exchange standards.

This unlocks the ability to use real-world health data safely for research, analytics, or interoperability.

FHIR Resource Types

Patients
Demographics, identifiers
Encounters
Visit information
Diagnoses
ICD codes, conditions
Labs
Test results, observations
Medications
Prescriptions, dosages
Procedures
Clinical procedures
PHI Protection

Automatic PHI/PII Detection

The schema identification agent detects and flags these sensitive fields for removal before any data processing occurs.

Names
Phone Numbers
Addresses
SSNs
Email Addresses
Date Fields*

*Date fields are transformed to retain only the year for HIPAA compliance.

See EHR Standardization in Action

Multi-agent system for healthcare data de-identification and FHIR bundle conversion.

Technology Stack

Built with modern, healthcare-ready technologies

Python 3.8+StreamlitPandasFHIR R4DockerSUPERWISE API

Ready to Standardize Your Healthcare Data?

See how SUPERWISE accelerators can transform your healthcare data operations with HIPAA-compliant AI governance.