Preventative Care

A large medical research association needed to improve model performance on broader demographics to catch pre-diabetic patients earlier.


  • Smaller demographic groups lacked available historical data to train prediction models.
  • Individual medical history data was dispersed across hundreds of hospitals and, therefore, inaccessible for analytics.
  • Centralizing the disbursed medical data would expose the organization to HIPPA and CCPA/CPRA scrutiny and come with long delays and high costs


  • Devron collaborated with the association’s analytics team to deploy on historical data wherever it resided.
  • Devron sped up model training and increased accuracy with medical claims data from sources like internal, clearinghouse, public, and health data companies.
  • Increased data access meant faster model training and rapid predictions of likely pre-diabetics, which helped address causes earlier and ultimately save lives.
Preventative Care
Preventative Care
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