Healthcare Document Extraction Platform

Confidential Healthcare Provider2024

An AI-powered pipeline that converts Summary Care Record PDFs into structured CSVs with strict healthcare-grade privacy controls.

HealthcareAIDocument Processing
Healthcare Document Extraction Platform screenshot 1
Healthcare Document Extraction Platform screenshot 2
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Overview

The SCR Extraction Tool automates the extraction of structured clinical data from Summary Care Record (SCR) PDFs. Using modern NLP models, it pulls out key fields such as demographics, medications, allergies, and diagnoses, and delivers them as standardised CSVs ready for ingestion into EHR/EMR systems. Designed for addiction treatment and wider healthcare settings, the platform is cloud-native, integrates with existing systems via APIs, and is built around a zero-document retention policy so no patient documents are stored after processing.

Impact

  • Cut manual data entry time for SCR documents, freeing clinical staff to focus on patient care.
  • Improved data quality and consistency through standardised, template-driven extraction into CSV.
  • Strengthened GDPR compliance via zero-document retention, encryption, and detailed audit logging.
  • Enabled faster reporting and analysis across addiction treatment pathways using cleaned, structured datasets.

Core Features

  • AI-powered extraction engine that processes complex medical PDFs using modern NLP techniques.
  • Configurable templates and CSV output formats tailored to different SCR layouts and downstream systems.
  • Invite-only authentication with Clerk, JWT-based session management, and role-based access.
  • Zero-document retention flow that deletes uploaded files immediately after processing.
  • Secure, cloud-native architecture on Next.js and PostgreSQL, with APIs for integrating outputs into existing clinical systems.