Empiric Health’s mission is to reduce unwarranted clinical variation, thereby improving healthcare outcomes and affordability. Primarily focused on surgical services, Empiric Health integrates Electronic Medical Records (EMR) and supply utilization data, which is then processed by a proprietary AI engine that sorts surgical encounters into clinical cohorts, or groups of comparable surgeries. This engine was created hand-in-hand with clinicians in order to facilitate direct clinician engagement. While AI engines provide traceability and clear explanations, they struggle to scale and expand quickly when exposed to novel data or changing practices.
Empiric Health partnered with DataRobot in March of 2020, implementing a machine learning (ML) model factory to monitor performance and increase AI engine expansion. Integration of a machine learning-informed AI engine provides benefits from both methodologies — the ability to scale and expand quickly (ML) as well as traceability and clear, human understandable logic explanations (AI).