Overview and Tech Stack

This proposal outlines the development of an AI-powered clinical summarization platform designed to automate the extraction, organization, and contextualization of longitudinal patient data across specialties.

Tech Stack

Component

Description

Google Cloud (GCP)

HIPAA-compliant cloud hosting with FHIR APIs for secure data storage and scalable compute. Includes Cloud IAM for role-based access control.

Python/TensorFlow

Core NLP/LLM development for clinical concept extraction and summarization. OAuth2 integration for clinician authentication.

React.js

Frontend for clinician dashboards. Firebase Authentication ensures secure user logins.

Redox (Phase 4)

Middleware for EMR integration. Handles HIPAA-compliant data normalization and audit trails.

Firebase

Real-time database for user testing. Firestore Security Rules enforce patient data privacy.

Executive Brief

The platform will empower clinicians with actionable insights while adhering to HIPAA, HITRUST, and FHIR compliance standards.

The project is structured into four phases, beginning with a Cardiology-Focused MVP and scaling to a multi-specialty, EMR-integrated solution. Key objectives include rapid deployment of a user-testable prototype, seamless integration with major EMRs (Epic, Cerner, Athena), and early monetization through pilot licensing.

By leveraging Google Cloud Platform (GCP) for HIPAA-compliant infrastructure and Redox for enterprise-grade EMR interoperability, we ensure scalability and regulatory alignment. Monetization begins in Phase 2.5, offering subscription tiers and tokenized overages modeled after successful healthtech platforms.