Languages
Language
English
Time Zone
Time Zone
(GMT-05:00) Eastern Time (US & Canada)
Location
Location
Houston, USA
About

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 ...See All

Education

The University of Texas Health Science Center at Houston
Certificate, Health IT
2008 – 2012

Trinity University
Bachelor of Science (B.S.), Computer Science
1994 – 1999

Experience and Distinctions

Testified on the definition of Meaningful Use
NCVHS
April 2009
I was invited to testify on how ONC should define meaningful use, the standard for Electronic Health Records.

Additional Honors & Awards
2004 Linux Medical News Achievement Award

Expert Academy on LiL
3 Completed Sessions
Last Session:
Thu Oct 31 2013 at 07:00 pm EDT
Last Log-in:
Fri Mar 14 2014 at 12:17 pm EDT
On Learn It Live Since:
Wednesday Jun 12, 2013
Learning Intrest
About Fred Trotter
Group Classes (2)
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Graph Theory can be applied to networks of doctors and hospitals in order to improve care coordination and protect profits. This course will go over the basic concepts of graph science, with the intention of applying the concepts to the DocGraph data set. Learning Points: Understand notions of centrality and graph traversal. Understand influence patterns Understand what a network motif is and why you would want to search for them Understand how to translate healthcare issues to solvable graph problems.
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. Learning objectives for students taking this class are: � What is big data? The reasons to avoid big data sets and tools (and some reasons to embrace them). � How to and how not to model the health care system � The ethical issues surrounding using big data on doctors and patients In this online course series from Health 2.0, four leading industry experts will teach how new applications of big data are transforming their corner of health care. This is an opportunity to gain practical insights on how to use data intelligently and think about it strategically in your particular area of disruption. Each class is 60 minutes followed by 30 minutes of Q&A. Each class is live, interactive, and personal, and takes advantage of Learn It Live's cutting edge virtual classroom platform. This course is for entrepreneurs, executives, data scientists, and clinical leaders. Sign up now!