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Case Study

Content-as-a-Product Scale Engine

Productizing unstructured medicine and diagnostic content into rich, schema-structured API endpoints.

Productized Entities1M+ Units
Approval Latency-40%
Compliance Score100%

Project Overview

Migrating legacy medical content systems into structured, modular clinical entities. We treated medical information as code, structuring over a million pages of drug profiles, substitute recommendations, and diagnostic definitions into clean schemas. This enabled API-first delivery across Samsung Health, Microsoft search portals, and the primary ePharmacy platform.

Key Challenges

  • 1Standardizing legacy scientific terms from disparate diagnostic laboratories and pharmaceutical manufacturers.
  • 2Long review bottlenecks involving Medical, Legal, and Regulatory (MLR) stakeholders.
  • 3Scaling updates instantly when regulatory guidelines or drug formulations change.

Applied Solutions

  • Created a customized taxonomy engine with automated schema mapping.
  • Designed a digital MLR pipeline with automated change detection, slashing manual check time.
  • Synchronized database updates to auto-generate structured schema markups (Schema.org/MedicalWebPage).

Core Outcomes

  • Migrated 1M+ active health data points without catalog downtime.
  • Reduced editorial and medical approval cycles by 40%.
  • Seamlessly integrated structured clinical diagnostics API into third-party wearables and search engines.