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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.