Creating a Makerspace in Your
Healthcare Simulation Labs

Session Background: The medical simulation industry is experiencing rapid growth and change. Much of this growth has manifested in the rapid increase of artificial soft tissue design for more realistic procedural trainers. This trend is evident each year in the numerous vendor product upgrades available. In order to optimize simulation training quality and services, all simulation centers must determine which products best meet the level of fidelity required to meet educational objectives. Moreover, they must determine the financial viability of acquiring new training models. A survey conducted by the Association of American Medical Colleges in 2011 reports that 93% of medical simulation centers use “part or partial task trainers” for medical simulation training (2011). Incorporating an artificial tissue laboratory as part of the operation can increase a center’s procedural versatility. It provides an on-site environment where procedural models can be designed and created to address needs that current vendor models do not, to provide an alternative to vendor-produced products, or to provide an adjunct that increases the fidelity of an already owned vendor model.

Session Overview: This course provides an opportunity for simulation operations specialists, administrators, and directors to discuss best practices for onboarding and managing an in-house makerspace. The session is designed for those who are considering or are in the planning stages of establishing a new makerspace, as well as those interested in taking their existing space to another level. This course will not delve into the granular details of making specific models, but will address the various methodologies available to do so (e.g. cast and mold, 3D printing) as well as best practices for managing these resources and collaborating with educators and/or researchers. Content will address startup and annual budget considerations and effective project management techniques. The course will speak to the inception of modelmaking ideas, design considerations, beta testing, and logistical considerations for deployment of new models to targeted learner groups. Considerations for model validation and technology transfer will be discussed. Research and funding opportunities, industry collaborations, and determining return on investment will also be reviewed.