Making Sense of Healthcare Data with SQL and Python Pandas


Details
Healthcare Interop Boston (HIB) Members!
Im cross-promoting an interesting FHIR-related meeting happening tomorrow sponsored by InterSystems at the Venture Cafe tomorrow... the details are below.
On another front, please contact me if you would like to become a speaker at an upcoming HIB meeting and I'll queue it up with the CIC and provide pizza etc.
Dave
LOCATION:
Venture Cafe
One Broadway, 5th Floor, Cambridge, MA 02142
Click here for the original Meetup Event:
The InterSystem Meetup Details:
Join us at the InterSystems Developer Meetup on May 31st, 5:30 pm EDT, at CIC Venture Café in Cambridge.
Unlock the Power of Healthcare Data Analysis
FHIR (Fast Healthcare Interoperability Resources) is a global data standard in healthcare and it's great for interoperability but not great for analysis of that data.
💡 Learn from InterSystems product managers and engineers how make SQL projections of FHIR data and build out Python Panda applications leveraging those projections.
Why attend?
🔍 Learn how to analyze healthcare data and why InterSystems is the world's most popular database for healthcare from our expert speakers
👥 Network with like-minded professionals and get access to potential new job opportunities
💰 See how you can enter developer competitions where you can win thousands of dollars in prizes and swag
🍽️ Enjoy complimentary food and drinks
🤝 Bring a friend, colleague, or teammate for additional perks
Presentations:
💬An overview of InterSystems company, it's Startup Program and Venture Fund, and Developer Resources - by Dean Andrews, Head of Developer Relations, InterSystems
💬Make SQL projections from FHIR data with FHIR SQL Builder by Patrick Jamieson, Product Manager, Health Informatics Platform, InterSystems
💬Extract data from FHIR SQL Builder using Python Pandas by
Bhavya Kandimalla, Solution Engineer, InterSystems
There’s an extra incentive to registered attendees who bring a friend with them to the event.
Spread the word!

Making Sense of Healthcare Data with SQL and Python Pandas