April 04
Done
Phil Ballentine  
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Phil Ballentine  

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I’m a Clinical Data Engineer based in Boston
 
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Writing  

πŸ—£οΈGlossolaliaπŸ₯The One Weird Reason EHR Data is So Hard⌨️Return of the CarriageπŸ’½Data β‰  InformationπŸ’₯It’s Better for You to Be WrongData β‰  SoftwareData β‰  SoftwareπŸ€–Generative AI as Human Intelligence Lambda

Interests  

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Generative AI’s application to data engineering in healthcare
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Using the EHR data we’ve spent untold billions of dollars and millions of hours generating to improve clinical care
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Interoperability at scale
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Semantic interoperability and information models

Contact Info  

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πŸ”— LinkedIn
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Email: phil @ crlfdata.dev
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Bio  

After working as an Epic Willow Application Analyst transitioning 7 major hospitals around Boston to Epic (2014-17) and working on healthcare data integration at athenahealth Population Health building a 360-degree view of ACO patients with claims, EHR, and HL7 2.x data (2017-18), I've worked in the Real World Data/Evidence space since 2018.
From 2019 until late 2022, I was one of the first Data Engineers to build out the Health Catalyst RWD Engineering team and delivered a variety of data acquisition, de-identification, data quality, NLP, and data architecture projects.
At Health Catalyst, I initiated the design and build of our COVID-19 dataset starting in early March 2020. Our early start and rapid data collection from hospitals across the US led to our involvement in the COVID-19 Evidence Accelerator working with FDA and other much larger and more established RWD/RWE players. Our team contributed to several publications written about the COVID-19 pandemic in 2021 and 2022.
From 2022-today, I have been leading Data Engineering at Atropos Health, a venture-backed startup that provides on-demand evidence from real world data to close evidence gaps in healthcare and life sciences.
I hold a MSc in Health Informatics and Analytics from the Tufts University School of Medicine and have taught graduate courses at TUSM and Northeastern University.