Providing care to more than 500,000 patients each year, MedStar Health is the largest healthcare provider in the Washington, D.C./Maryland region. As an organization, they’re committed to providing the best care during emergency situations in which patients are in cardiopulmonary arrest (referred to as “Code Blues”).
During a Code Blue, the stakes are literally life and death—which is why it’s vital that MedStar resuscitation team members are well trained. Speed is vital in the seconds and minutes that follow a Code Blue, including the amounts of time for performing chest compressions and defibrillation and administering medications to a patient.
As a result, MedStar’s Code Blue training and learning resources have focused on improving clinician performance to reduce these times. However, MedStar didn’t have extensive information on the effectiveness of various training programs and learning resources.
Using Watershed and xAPI to aggregate and visualize data from multiple data sources, MedStar is now able to answer a range of questions about the usage and effectiveness of their training systems. They also have a better understanding of where they need to target their attention to improve performance. In particular, they can test the “chain of cause and effect” from training to simulations to final results.
Learning solutions and infrastructure organization of MedStar Health, a 10-hospital $4.5B not-for-profit healthcare company serving the Baltimore and Washington, D.C. region.
Enhancing Code Blue Performance with xAPI
Enhancing Code Blue Education
Performance with xAPI
Director of Learning Technologies
MedStar Simulation Training and Education Lab
Dave Bauer, Itay Moav, Alex Walker,
Cheryl Camacho, Rob Hafey
Brooks Alford, Andrew Downes,
Tim Chudy, Ervin Puskar, Geoff
Nick Stephenson, Emlyn O'Regan
MedStar SiTEL’s mission is to create an adaptable learning
infrastructure and provide resources to meet MedStar’s
current and emergent learning needs.
Learning solutions and infrastructure organization of MedStar Health
Code Blue at MedStar
• Improving Code Blue performance a top
• Performance Issues:
– Delays in defibrillation. Lack of device knowledge
– Lack of process/algorithm knowledge
– Team coordination issues
• communication, sharing of knowledge.
• Team members afraid to ask for help.
– Delays in team arrival due to paging delays.
– Rapid Response Teams = fewer opportunities for
task trainer app
October 17, 2016
Analysis: Mock Codes
• Overall, how are clinicians performing on mock
• Which organizations are the top performers on
mock Code Blues?
• How are departments in MedStar Georgetown
University Hospital performing on Code Blues?
• Which clinicians haven't participated in mock
• Which mock Code Blue steps are hard? 10
Analysis: Defibrillator App
• How many clinicians are using the app?
• How does app activity change over time?
• Which clinicians are the top users and
performers on the app?
• Overall, which steps are clinicians having trouble
• Which Zoll steps in [Maintenance | Auto defib |
Manual Defib | Cardioversion | Pacing] are
clinicians having trouble with? 11
Analysis: Compare Modalities
• Does App use affect Code Blue performance?
• Does time between app usage and mock code
blue affect performance?
• Does the time between AHA course and mock
Code Blue affect performance in the mock