Content-as-a-Product Scale Engine
Productizing unstructured medicine and diagnostic content into rich, schema-structured API endpoints.
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.
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