The big to-do: This VP uses machine learning to help revolutionize healthcare

Written by Molly Each
Published on Oct. 18, 2017
The big to-do: This VP uses machine learning to help revolutionize healthcare

Don Siddell is working on a technology set to transform the healthcare industry. As senior VP of application development & QA for Remedy Partners, he develops and manages software and analytics to help healthcare providers support bundled payments.

Bundled payments incent collaboration and better patient outcomes across the care continuum by rewarding healthcare providers for improving care design.

All of that comes with quite a to do list. Siddell recently shared the most exciting and challenging items on his task list — and what his work means for healthcare.

FAVORITE TASK: The most exciting item on my to do list is the delivery of machine learning-based decision tools. Remedy Partners is integrated with nearly 1,000 healthcare payer and provider systems, all receiving real-time updates on patient activity. The aggregate of this data provides Remedy with a unique longitudinal view that we can offer back to partners.

Remedy passes all of this data through machine learning in order to gain valuable insights. For example, it can show the likelihood that a patient may be readmitted to an acute setting. Knowing this can help healthcare providers be proactive with patient care instead of reactive.  

HOW I DO IT: Collaboration. We need data integration with external systems to bring in real-time patient data. We need data and service architectures to provide a platform for delivery of insights. And we need data science to analyze factors and outcomes to produce optimized predictive models. Additionally, publishing these models into the product requires testing to ensure quality results — and it requires deployments to promote features to live environments. All of this takes teamwork.

WHEN THIS IS COMPLETE: Healthcare providers can continue to improve the outcomes for patients receiving episodic care. Users will receive more value more frequently, because they will gain access to insights which may not be immediately apparent through observation.

MOST CHALLENGING TASK: Waking up after late deployments.

HOW I DO IT: Dual alarm clocks.

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Machine Learning • Mobile • Other • Social Impact • Software • App development