Session ID: 
BG3

An Open Secret: How Healthcare Organizations Can Leverage Open Source Data Tools to Improve Outcomes

11:15am - 12:15pm Monday, March 9
Orlando - Orange County Convention Center
W308A
Additional Registration
Extra Fee

Description

Open source data tools can help healthcare organizations achieve actionable insights and improve health outcomes without sacrificing rigor.  In this session, we will survey free and open source tools that can be used in each phase of a typical data science and analytics project lifecycle: data governance (data catalog), raw data ingestion and transformation; data profiling and quality assurance; data modeling and visualization; and model deployment and maintenance.  As a case study, we will use these powerful tools to analyze social determinants of health (SDOH) risk data and identify opportunities for intervention.
This session is part of a special program called Big Data Symposium. Extra fees and separate registration is required.
This session is part of a special program called HIMSS20 Big Data Symposium: Making it Work. Extra fees and separate registration is required.

Learning Objectives

  • Assemble a road map of common steps in a healthcare data science or analytics project
  • Differentiate between open source data tools and define each tool’s purpose in the data project workflow
  • Analyze SDOH data and identify opportunities for intervention using open source tools

Speaker(s)

Principal,
1nformatics

Continuing Education Credits

CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

CIO/CTO/CTIO/Senior IT
Data Scientist

Level

Intermediate