Using Analytics at Johns Hopkins to Prevent Patient Flow Bottlenecks

An interesting question, given all of the current hype about analytics, is where and how algorithms can be deployed to improve healthcare and the patient experience. For my money, one answer to this question was presented in a recent article inFortune about the digital health revolution (see:Prepare for the Digital Health Revolution). Below is an excerpt from it:GE Healthcare and the Johns Hopkins Hospital [have] launched a fully digital hub to better manage everyday operations.The Judy Reitz Capacity Command Center gets a constant influx of data about important events at the hospital; it receives about 500 messages every minute from more than a dozen different Hopkins IT systems and with the help of predictive analytics turns this swamp of data into suggestions for action that prevent bottlenecks and get patients both into and out of the hospital faster....The hospital says the command center has shaved more than an hour off the time it takes to dispatch an ambulance to another facility and that emergency room patients are assigned a bed 30% faster than before. Here's additional information about this Capacity Command Center (see:The Johns Hopkins Hospital Launches Capacity Command Center to Enhance Hospital Operations):The Judy Reitz Capacity Command Center, designed and built with GE Healthcare Partners (GE), combines the latest in systems engineering, predictive analytics and innovative problem-solving to better manage patient safety, experience, vol...

Source: Lab Soft News - October 16, 2019 Category: Laboratory Medicine Authors: Bruce Friedman Tags: Cost of Healthcare Healthcare Information Technology Healthcare Innovations Hospital Executive Management Medical Research Predictive Analytics Quality of Care Source Type: blogs