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Case study2026

Digital Clinic

Turns dense blood and hormone lab reports into clear, panic-free English right in the browser.

  • React
  • TypeScript
  • Tesseract OCR
  • Tailwind
LiveSource
Digital Clinic preview

Problem

Medical lab reports are full of cryptic ranges and clinical jargon that leave patients panicking and Googling symptoms unnecessarily.

Approach

Built a browser-based parser that extracts biomarker tables directly from PDFs and scanned images using client-side OCR, scoring values against clinical reference standards without uploading patient data to external servers.

Key decisions

  1. 01

    Client-side processing

    Healthcare data is sensitive. Running OCR and parsing directly in the browser ensures patient lab files never leave their machine.

  2. 02

    Dual OCR & text parser

    Different labs export PDFs differently. If digital text extraction fails on scanned receipts, it falls back to OCR automatically.

  3. 03

    Plain English explanations

    Instead of just showing red flags, the app explains what each marker actually means in simple terms.

Outcome

Live on the web, parsing multi-page hormone and metabolic reports in seconds with zero backend storage requirements.

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