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EHR Data 101
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Things You'll Get From This Course
Context on EHR Systems
Common Pitfalls and ‘Tar Pits’
Live Guest Speakers
Curated Readings and Recorded Content
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Phil Ballentine is a clinical data engineer with ~10 years of experience working with EHRs and making use of messy EHR data. After working for three years as an Epic implementer transitioning Partners HealthCare (now Mass General Brigham) to Epic from a number of fragmented legacy EHRs, Phil has worked in healthcare data integration–building cohesive data products from many combined sources since 2017, including at athenahealth and Health Catalyst. Since 2022, Phil has been leading Data Engineering at Atropos Health. Phil holds a MSc in Health Informatics and Analytics from the Tufts University School of Medicine and created and teaches a graduate course at Northeastern University on healthcare data.
Course Syllabus & Schedule
Module 1
Day 1
Introduction to EHR Data
(8/13, 7-830 PM EST)
Module 2
Day 2
Deep Dives I: Core Domains
(8/15, 7-830 PM EST)
Module 3
Day 3
Deep Dives II: Labs, Meds, and More
(8/20, 7-830 PM EST)
Module 4
Day 4
EHR Data Usage and Some Solutions
(2/22, 7-830 PM EST)
Module 5
Day 5
Module 6
Day 6
Module 7
Day 7
Module 8
Day 8
Module 9
Day 9
Module 10
Day 10
Frequently Asked Questions
Who is this course for?
Anyone looking to understand EHR data and the challenges of working with and extracting maximum value from it. This includes founders, data scientists, data engineers, data analysts, CTOs, engineering managers, product managers, investors, and strategy leads.
Past attendees have included:
- Technical staff at a large institutional research project branching into using EHR data
- Analytics Manager at a leading value-based care company
- Several founders and CTOs of Seed and Series A healthcare tech startups
- Investment analysts at major PE firms
- Data Engineer and Data Analyst at major healthcare data analytics companies
How much is it?
$1,800, which includes access to the recorded content and slides in perpetuity (~5 hours of class plus additional time with guest speakers)
Do I have to be at every session?
No.
Is there a lot of work?
No, the work outside of the course session is optional.