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Fred Trotter

Fred Trotter
Data Journalist, FredTrotter.com

Website | @fredtrotter

Fred Trotter is the leading consultant and advocate for Free/Libre and Open Source (FOSS) Health Software. In recognition of his role within the Open Source Health Informatics community, Trotter was the only Open Source representative invited by the NCVHS to testify on the definition of ‘meaningful use’.

Trotter has contributed code to FreeMed, OpenEMR is the current project manager of MirrorMed and the original author of FreeB, the worlds first GPL medical billing engine. In 2004 Fred Trotter received the LinuxMedNews achievement award for work on FreeB. Fred Trotter manages the Open Source EHR review project with the American Medical Informatics Association (AMIA), Open Source Working Group (oswg). Fred is also a member of WorldVistA.

Fred Trotter is a recognized expert in Free and Open Source medical software and security systems. He has spoken on those subjects at the SCALE DOHCS conference, Retail Healthcare conference, LinuxWorld, and DefCon. He has been quoted in multiple articles on Health Information Technology in several print and online journals, including WIRED, zdnet, Government Health IT, Modern Healthcare Online, Linux Journal, Free Software Magazine and LinuxMedNews.

Trotter has a B.S in Computer Science, a B.A in psychology and a B.A in philosophy from Trinity University. Trotter minored in Business Administration, Cognitive Science, and Management Information Systems. Before working directly on health software, Trotter passed the CISSP certification and consulted for VeriSign on HIPAA security for major hospitals and health institutions. Trotter was originally trained on information security at the Air Force Information Warfare Center.

Sessions

Data Liquidity Salon G
Workshop Please note: to attend, your registration must include Workshops on Wednesday.
Janos Hajagos (Stony Brook School of Medicine), Fred Trotter (FredTrotter.com)
Average rating: ***..
(3.50, 2 ratings)
It is assumed that social network analysis in healthcare is difficult. This assumption is wrong with the right tool and the DocGraph dataset. The goal of this tutorial is to allow participants to perform basic graph analysis of a healthcare dataset. After the tutorial participants should be able to use Gephi to generate novel hypotheses about the delivery of healthcare in Medicare. Read more.
Table C
Fred Trotter (FredTrotter.com)
If you like to think of the healthcare system as a Graph. Come see me! If you are interested in using data for behavior change, I would love to chat! If you are interested in open data, then please come visit. Read more.
Salon G-F
Fred Trotter (FredTrotter.com)
Fred Trotter, Data Journalist, DocGraph.org and FredTrotter.com. Read more.

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