Our residents and faculty wanted to lead the way in shaping the residency of the future.
Our residency program has a long tradition of educational innovations. For example, our strategy for teaching residents to analyze medical error through a novel morbidity and mortality conference has received national recognition and has been adopted by other medical centers across the country. Historically, the ACGME regulations, unlike the EIP, discouraged innovations. Our residents and faculty wanted to have the freedom to innovate and address some of the most difficult issues in residency education today.
We believe that physicians must willingly take on the responsibility of assessing and improving the quality of care they and their colleagues deliver. To do so requires education about strategies that enable physicians to identify care delivery problems and to lead the redesign of critical processes. Our residents and faculty believe that the best way to learn is by doing. The EIP provided a perfect opportunity to use data for the betterment of both patient care and resident education.
In the ACGME's Next Accredidation System (NAS), lessons learned from Internal Medicine EIP's provided the basis for much of the newly restructured system that began nationwide July, 2013.
METI® Anesthesia mannequin allows us the opportunity to run complex simulations of real-life critical care situations. These mannequins respond physiologically to physical (i.e. synchronized cardioversion) and chemical (i.e. medications) interventions and can be programmed to mimic many different physiologic conditions. This allows residents to test their diagnostic and therapeutic strategies in realistic but low stakes environments.
Central Line Simulators: with and without ultrasound. These simulators are used by residents to practice their procedural skills and to allow for faculty to ‘sign off’ on core techniques prior to practice on patients.
IV, endoscopic, arthrocentesis, and other simulators
The information warehouse is a central data repository that brings together clinical data, resource utilization data and financial data so that they can be easily searched. This can allow us to tie interventions in residency education to patient outcomes.