Jan 27, 2014

Bridging Gaps between Healthcare Education and Biocomputational Research Modeling and Simulation

A panel discussion of bio-simulation tools and ways they might be incorporated into medical or healthcare training settings

Conference: 14th annual International Meeting on Simulation in Healthcare (IMSH)
Location: Moscone West Conference Center, San Francisco, CA

Nathan M. Wilson, PhD, MBA, CEO
Open Source Medical Software Corporation

Joy P. Ku, PhD
Director of Simbios & Director of Training for the National Center for Simulation in Rehabilitation Research (NCSRR), Stanford University, Stanford, California

Shawn Shadden, PhD
Assistant Professor of Mechanical Engineering, University of California, Berkeley

W. Bosseau Murray, MD
Professor in Anesthesiology, Pennsylvania State University College of Medicine


Advances in biocomputational modeling and simulation are leading to applications in a diverse range of significant clinical applications. For instance, based on a given patient's data-such as from imaging (e.g., CT and/or MRI)-the assessment of the physiologic significance of coronary artery disease lesions, planning for orthopedic surgical interventions, and osteoporosis risk stratification are individualized for that specific patient.

Organized by Simbios, the NIH-funded national center for Physics-Based Simulations of Biological Structures at Stanford University, Stanford, California (http://simbios.stanford.edu), the workshop is specifically designed to be both informative and productive for audiences from the healthcare simulation training domain who may not have mathematical or computational expertise. Biocomputational modeling typically utilizes physics-based models that include application-specific physiologic and anatomic information and/or statistical models for understanding and treating diseases in an interactive environment. These realistic modeling techniques may provide valuable tools for enhancing current medical and healthcare-related curriculums. The purpose of this panel-workshop is to increase the Healthcare Simulation Educators' awareness of the biocomputational simulation research being done by other modelling and simulation (M&S) professionals for medical/clinical purposes and to explore ways in which these tools might be adopted or adapted for use within an educational setting.

Following an overview of the medical and healthcare modeling and simulation efforts currently underway at Simbios, the panelists will present several detailed case studies of exemplar biocomputational models being developed for vascular surgery treatment planning and orthopedic applications. To facilitate building bridges between the healthcare education community and other medical/clinical modeling and simulation communities, the presentation of each example will be followed by a moderated discussion to brainstorm ideas on how these and similar models could potentially be incorporated into medical or healthcare training settings, including classrooms and/or more immersive simulation settings. The panelists will also discuss critical issues around support and development of ongoing open source software projects for biocomputation. The examples that will be presented are drawn from research supported by the NIH through Simbios (NIH grant U54 GM072970) and NCSRR (NIH grant R24 HD065690), as well as by the NSF for vascular modeling at the University of California, San Diego and the University of California, Berkeley (NSF grant 1407834).

For more information or to register for the meeting, visit http://ssih.org/imsh2014

  1. Participating interested healthcare simulation educators will expand their professional knowledge base regarding healthcare-related modeling and simulation use in research, clinical, and training environments.
  2. Participants will be able to discuss the work being done in biocomputational modeling and simulation with other educators and give examples of how models created outside of the educational realm can be adapted to expand both the breadth and depth of simulations used for medical and healthcare education and training.
  3. Participants will recognize opportunities to collaborate with biomedical researchers outside of their specific, individual training settings and within their current institutions, for the purpose of expanding their personal knowledge and the application of the science of simulation.
  4. Participants will become aware of the enormous potential for affordably increasing the training simulation inventory by building from existing research models.