The DocGraph community includes academics, journalists, doctors, entrepreneurs, statisticians and more. Our members have used DocGraph datasets to restructure provider networks, teach classes, start companies, and report on quality metrics. We welcome anyone with passion for healthcare improvement to join us.
If you write about healthcare data and would like to be featured on our blog, or if you are a data scientist interested in publishing research using DocGraph data, please give us a holler too!
Open Healthcare Data Advocacy
Our efforts led to the first national Provider Referral data release by the US government. The original “DocGraph Data” has helped researchers, journalists, and companies around the nation to provide data-backed healthcare solutions.
We continue to work with federal, state, private, non-profit, and public entities to create and open healthcare datasets. We believe the release of reliable and current data is vital to the improvement of the healthcare system.
The DocGraph Alliance
The DocGraph Alliance is a group of organizations committed to supporting data journalism and data science community efforts.
Its community mission is to encourage an ecosystem of innovators to collaborate and share tools and research methodologies around open healthcare datasets.Support from the Alliance members means the DocGraph Journal can continue providing support for the growing community of data scientists focused on leveraging initiatives of transparency in healthcare.
PHILADELPHIA, PA (PRWEB) – DocGraph today released the first in a series of Cancer Moonshot datasets during Digital Pharma East. The data details how cancer
DocGraph joins Claudia Williams, Niall Brennan and Jess Kahn in DC to Promote Transparency and Fairness in the Healthcare System
WASHINGTON, September 28, 2016 – Health data scientist Fred Trotter presented today at the White House Open Data Innovation Summit around national health data transparency.
Health data scientist Fred Trotter joined Vice President Joe Biden and other national healthcare leaders today for the invitation only National Cancer Moonshot Summit. The
For the premier analytical software built on DocGraph data, visit CareSet.com
Ashish started his career in network security at VeriSign, working as a field consultant and later in the global managed Security Operations Center. He supported worldwide banking institutions, healthcare enterprises, and government-class customers. Entrepreneurially, he focuses on healthcare community outreach and education. In recent years, he was an instructor at Lamar University in Beaumont before developing enterprise task and data management applications for service operations, real estate, and health system management.
Fred is co-author of the first Health IT O’Reilly book Hacking Healthcare, and technical blogger for O’Reilly Radar. Fred’s technical commentary and data journalism work has been featured in several online and print journals including Wired, Forbes, U.S. News, NPR, Government Health IT, and Modern Healthcare.
Fred was invited by the NCVHS to testify on the definition of ‘meaningful use’ under ARRA. Trotter also represented the Open Source EHR community in negotiations with CCHIT, a leading EHR certification body. He currently serves on the Consumer Technology Workgroup for the Health IT Standards Committee which advises the Office of the National Coordinator for Health IT.
Laura previously served as COO at 2nd.MD, where she grew the company from concept to serving Fortune 500 companies. She co-founded the Health 2.0 Houston chapter, a 900+ member organization promoting health IT. Mrs. Shapland holds a B.A. from Rice University and an MBA with High Honors from the University of Chicago Booth School of Business. Outside of work, she enjoys tennis and tickling her two young daughters until they cry.
Rick has worked in the Health IT field for over 6 years in projects including EHR implementation, HIE research and personal health software. He develops healthcare software for doctors, personal fitness, and general health with interest in how quantifying the individual can lead to self-discovery and change.