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On-Demand Webinar

Machine Learning Informed Artificial Intelligence in Healthcare

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).

Speaker

Megan Bultema
Megan Bultema

Chief Data Scientist at Empiric Health

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant