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Nov Meetup: Exploring Healthcare Data at Moderna HQ

Nov Meetup: Exploring Healthcare Data

A healthcare-data meetup with talks on EHR data design practices and factors driving Medicare payment gaps. The schedule includes networking before the talks.

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November 4, 2026 · 6:30 PM – 9:30 PM

Moderna HQ, 325 Binney St, Cambridge ·

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Hear talks on practical EHR data design and the factors behind payment gaps in Medicare, with a networking period before the program.

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Organizer’s description

Join PyData Boston on a deep dive into the use of healthcare data! We are currently looking for food sponsors - reach out to boston@pydata.org if you'd like to contribute! Do not arrive before 6:30pm! 📅 Schedule: 6:30–7:00 — Networking (doors open) 7:00–7:10 — Introduction 7:10–7:55 — Preet Mehta - Data Design Practices for EHR Data 7:55–8:30 - Break 8:30-9:15 - Dany Sigha - The Shape of the Break: What drives payment gaps in Medicare 9:30 — End *IMPORTANT You MUST fill out the registration form accurately in order to get access to the venue. No guests/drop-ins, all unregistered folks WILL be turned away* Preet Mehta Title: Data Design Practices for EHR Data Description: Healthcare data is messy by nature: patients, encounters, observations, and claims arrive from multiple EHR systems, each with its own schemas, coding practices (ICD, CPT, NDC), and data quirks. Before any model or dashboard can be trusted, the underlying data has to earn that trust. In this talk, I will walk through practical data design patterns for healthcare data: using the bronze/silver/gold medallion pattern as a trust framework, standardizing records from multiple EMRs into a single patient view, building metadata-driven pipelines that scale, and handling schema evolution, privacy, and auditability along the way. Bio: Preet Mehta is a Manager of Healthcare Analytics at EXL Service, with 10 years in data engineering and 6 years in healthcare data.

Hosted by PyData Boston - Cambridge

Learning · 8 AM · Moderna HQ
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