Leveraging Big Data to Fix the Health Care System - How to Approach Large Data Sets Effectively

Start Date
Recorded :
Tue Jul 9 at 07:30 pm EDT
Subject Area
Subject Area:
Meets For
Meets For:
1Session(s)
Languages
Language:
English
Free Public
This class is Recorded
About This Class
Languages
Language
English
Certifications
Certifications
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Description
In this class Fred Trotter will provide a baseline explanation of what big data is in the context of the health care system, as well as a basic framework for modeling health care effectively. Specifically, he will demonstrate how to model the health care system using a graph, and will explain how to use a graph to elucidate patterns, to examine interoperability, and to analyze and predict operational trends in the coordination of care both across groups and within ACO�s.

Fred is renown for his singular expertise in data visualization, modeling, and open source security.
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Class Details and Calendar
Class Details
  • Recorded :
    Tue Jul 9 at 07:30 pm EDT
  • Total :
    1 Session(s)
  • Remaining :
    0 Session(s)
  • Max attendees :
    5,000
  • Currently Enrolled
    219
Class Schedule
Session Name
Start Date
Leveraging Big Data to Fix the Health Care System - How to Approach Large Data Sets Effectively
90 Minute Session
Tue Jul 9 at 06:00 pm EDT
About Creator
Fred Trotter is a recognized expert in Free and Open Source medical software and security systems. He co-authored the first Health IT O’Reilly book “Hacking Healthcare.” He is also the founder of Not Only Development, which focuses on developing game-changing health care software. In recognition of his role within the health IT community, Fred was the Open Source representative invited by the National Committee on Vital and Health Statistics to testify on the definition of ‘meaningful use’. He also represented the Open Source EHR community in negotiations with CCHIT, the leading EHR certification body. Fred has spoken on this topic in a variety of publications including WIRED, Government Health IT, Linux Journal, and NPR.