Confidential Healthcare Client: HIPAA-CompliantAI for Healthcare Excellence
Hanabi Technologies customized Hana for a confidential US healthcare client, combining large-sheet ingestion, recurring synchronization, grounded retrieval, access controls, and operational review.
About the Client
A long-established US healthcare organization modernizing patient operations with secure AI
To protect client confidentiality, identifying details have been anonymized. The organization operates multiple care services and needed to modernize high-volume knowledge workflows while preserving strict PHI protections.
Their teams handle complex scheduling, clinical documentation, and patient support workflows, which made scalable retrieval, reliable sync, and compliance-first AI architecture critical to daily operations.
Scope included: secure data ingestion, HIPAA-aligned AI responses, daily resync automation, and reliability hardening for large-sheet processing.
The Healthcare AI Challenge
This healthcare client needed a robust AI workflow for large operational datasets while maintaining strict security, contractual data boundaries, and controlled handling of sensitive information.
Healthcare Data Boundaries
The client required security-conscious controls for sensitive healthcare operations and approved knowledge workflows.
Solution: Implemented encrypted storage, access controls, limited data handling, and deployment controls aligned to the client environment and contractual requirements.
Large Unstructured Datasets
Managing 90K+ row Google Sheets with patient data, provider schedules, and operational information without efficient ingestion or processing capabilities.
Solution: Developed optimized RAG pipelines for large Google Sheets, implementing batching strategies (30-50 rows per chunk) to avoid embedding limits and enable cost-efficient processing.
Auto-Resync Failures
Previous system experienced frequent failures in automatic data synchronization, leading to outdated AI memory and incorrect information retrieval.
Solution: Engineered robust auto-resync mechanism with daily intervals, code-level optimizations for duplicate IDs and progress tracking, ensuring memories stay current and accurate.
Data Security & Productivity Balance
Need to enable AI-powered productivity gains while maintaining strict data security protocols and zero data mining guarantees.
Solution: Implemented strict access controls, no data mining policies, encrypted storage at rest and in transit, and runtime-only processing with immediate data disposal after queries.
Technologies & Compliance
AI/ML
Backend
Security
Integration
HIPAA Compliance Framework
Built from the ground up with healthcare data security and regulatory compliance at its core
Business Associate Agreement
Formal BAA established for compliant PHI processing and data handling
Encrypted Storage
All PHI encrypted at rest in MongoDB Atlas with industry-standard encryption
Runtime-Only Processing
Data processed only during queries, immediately disposed after completion
Zero Data Mining
Absolute guarantee: no data mining, no unauthorized access, no data retention
Access Controls
Role-based access with strict authentication and authorization protocols
HITECH Compliance
Full adherence to HITECH Act requirements for electronic health records
Custom AI Features Delivered
Tailored Hana AI capabilities specifically engineered for healthcare workflows and compliance
BAA-Compliant Framework
Business Associate Agreement established for PHI processing with encrypted MongoDB Atlas storage and runtime-only data handling.
Optimized Large-Sheet Ingestion
RAG pipelines process 90K+ row Google Sheets through intelligent batching (30-50 rows per chunk) to avoid API limits.
Enhanced LLM Capabilities
Customized language models fine-tuned for healthcare context, delivering accurate Q&A on medical data and patient information.
Automated Daily Resync
Intelligent auto-resync at daily intervals ensures AI memory stays current with the latest patient data and schedules.
Code-Level Optimizations
Resolved duplicate IDs, progress tracking errors, and large-sheet failures through comprehensive code enhancements.
Strict Security Measures
Zero data mining policy, strict access controls, encrypted storage, and compliance with both HIPAA and HITECH standards.
Measurable Healthcare Impact
Delivering efficiency gains while maintaining the highest standards of data security and compliance
Repeatable processing and synchronization
Access-aware processing and storage
Successfully handled massive datasets
Context tied to approved sources
Always-on AI assistance
Keeps memories current
Key Achievements
Accurate, context-aware AI responses enhance healthcare team efficiency
Growing datasets handled seamlessly with minimal errors
Seamless integration with existing healthcare workflows
Data boundaries, access controls, and operational review were treated as core requirements