OSEHRA - Building an Open Source EHR for All

Luis Ibanez (KITWARE Inc.), Seong Ki Mun (OSEHRA), Rick Avila (KITWARE Inc.)
Healthcare
Location: E146
Average rating: **...
(2.75, 4 ratings)

In 2011, one of the most remarkable events in the history of Open Source and Healthcare took place. The Department of Veterans Affairs (VA), after several years of planning and consideration, made concrete and decisive steps toward creating an Open Source EHR based on the Veterans Health Information Systems and Technology Architecture (VistA).

VistA is a rich, automated environment that supports day-to-day operations at local Department of Veterans Affairs (VA) health care facilities. It is considered to be the most effective EHR system deployment in the world. It has demonstrated to be an effective tool on increasing the quality of healthcare delivery while at the same time reducing its cost. Up to now, VistA has been available to the public outside of the VA through releases made in response to Freedom of Information Act requests.

In July 2011, the VA tasked OSEHRA, a non-profit organization, with the creation of an open source environment in which VistA could transition to become an Open Source EHR that can take advantage of the agility, innovation and high quality that are characteristic of open source projects. Since then, OSEHRA has been working in a very pressing schedule to deploy the software development tools and community coordination resources that are required to positively engage the larger open source community along with the many VA expert developers into a cohesive effort to build an Open Source EHR.

If you are enthusiastic about the future of Open Source EHR systems, please join us in this session, to explore together how we can collaborate on one of the most significant projects of this decade.

Photo of Luis Ibanez

Luis Ibanez

KITWARE Inc.

Luis Ibáñez is Technical Leader at Kitware and Science Director at OSEHRA. Luis joined Kitware, Inc. in February 2002 where his is one of the main developers of the Medical Imaging Library ITK coordinating its maintenance with other developers and the user community; he is also one of the main developers of the Image Guided Surgery Toolkit IGSTK and participated in crafting the operational principles of the Insight Journal. Luis Ibáñez is a strong supporter of Open Access, and the verification of reproducibility in scientific publications and is a regular speaker in ITK training courses, and in events disseminating the principles of Open Source. He has been teaching for three years a course on Open Source Software Practices at the Rensselaer Polytechnic Institute RPI.

Luis Ibáñez received a B.S. in Physics from the Universidad Industrial de Santander (Bucaramanga, Colombia) in 1989 and a M.S. in Optics from the same university in 1994. He received a D.E.A and Ph.D. degrees from the Universite de Rennes I (Rennes, France) in 1995 and 2000, respectively.

During his Ph.D., Luis Ibáñez was member of the LATIM laboratory at the Ecole Nationale Superieure des Telecommunications de Bretagne (Brest, France) and was interested in the segmentation of bone joint structures of the limbs for the purpose of studying the relationship between morphology and functionality. He also participated in a project for developing collaborative virtual environments for medical applications.
In 1999, Luis Ibáñez joined the Division of Neurosurgery of the University of North Carolina at Chapel Hill and participated as a member of the MIDAG and CADDLab groups. His work at UNC was related to the development of algorithms for 2 and 3D registration applied to image guided surgery. He also participated as developer of the INSIGHT Registration and Segmentation Toolkit sponsored by the National Library of Medicine.

Photo of Seong Ki Mun

Seong Ki Mun

OSEHRA

Seong K. Mun, PhD, is President and CEO of OSEHRA, the Open Source EHR Agent.

Dr. Seong K. Mun, is also a Professor at Virginia Tech.

Previously was Professor of Radiology, and Director of the Imaging Science and Information System (ISIS) Research Center, Georgetown University Medical Center. Established in the 1980s to develop the picture archiving and teleradiology capabilities for the US Army, the ISIS Center has grown to approximately 75 faculty and staff who pursue research and development in imaging, informatics, medical robotics, and global disease surveillance. Dr. Mun’s research deals with the role of imaging and information technology in variety of healthcare settings such as diagnostic imaging, chronic illness management, home monitoring, telemedicine, disease surveillance, surgical instrumentation, and cancer therapy. In 2004, he organized a workshop on OR-2020 that defined the future research requirements for the operating rooms. As the Associate Vice President of Georgetown University Medical Center, he is responsible to developing strategic programs such as the Georgetown Biosecurity Institute, the Joint Center for Drug Development, and special projects of interest to the U.S. Congress. Dr. Mun received his doctoral degree in physics for his research in the biophysical properties of hemoglobin at the State University of New York, Albany. His postdoctoral fellowships include training in medical physics at the University of Colorado Medical Center and MRI contrast development research training in Dr. Lauterbur’s lab at the SUNY, Stony Brook. In the early 80’s, he led the development of one of the first high field whole body MRI systems at Columbia University Medical Center in New York City.

Photo of Rick Avila

Rick Avila

KITWARE Inc.

Mr. Avila received a B.S. and an M.S. in Computer Science from the State University of New York at Stony Brook specializing in 3D biomedical imaging and visualization. He has accumulated over 20 years of experience leading research and development projects in several academic and commercial settings including computing laboratories, basic science laboratories, and corporate research and development facilities. While employed at Howard Hughes Medical Institute in the early 1990’s he co-developed VolVis, an open source biomedical visualization system for confocal microscopy and medical research. He joined GE Global Research in 1994 and focused on developing visualization and analysis algorithms for clinical applications. He was a contributing author to “The Visualization Toolkit” textbook and co-developed the volume rendering architecture in VTK, a widely adopted open-source toolkit for data visualization. He led the development of several key medical technology areas at GE including real-time visualization systems for medical scanners, medical image analysis and segmentation algorithms, and haptic rendering and display methods.

He is a contributing author on over 15 papers and has taught and organized numerous conference tutorials in the field of medical image analysis and visualization. In 2000, he received the Albert W. Hull Award, the highest award for early technical achievement given at GE Global Research. In 2003, he was selected by the National Academy of Engineering to attend the ninth annual Frontiers of Engineering Symposium as one of the nation’s top young engineers. He started and led the first Computer Aided Detection (CAD) program at GE Global Research from 2001 to 2005 and during this time Mr. Avila became a prominent and often invited speaker on the development of CAD algorithms for lung cancer management and other major diseases. He is a participant in RSNA’s Quantitative Imaging Biomarkers Alliance and is currently the co-chair of the RSNA Imaging Biomarker Roundtable Ad Hoc Committee on Open Image Archives. In addition, Mr. Avila serves on the Medical & Scientific Advisory Board of the Lung Cancer Alliance, a national non-profit organization devoted solely to support and advocacy for all those living with or at risk for lung cancer.

Mr. Avila joined Kitware in March 2005 and is currently Senior Director of Healthcare Solutions, where he is leading the development of open-source imaging toolkits and products that significantly improve the effectiveness of healthcare, including image-guided intervention; quantitative disease detection and therapy assessment; and clinical data presentation and interpretation.

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