{"id":36046,"date":"2018-11-13T22:16:05","date_gmt":"2018-11-14T03:16:05","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/command-center-machine-learning-hospital-management-at-johns-hopkins\/"},"modified":"2018-11-13T22:36:08","modified_gmt":"2018-11-14T03:36:08","slug":"capacity-command-center-machine-learning-hospital-management-at-johns-hopkins","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/capacity-command-center-machine-learning-hospital-management-at-johns-hopkins\/","title":{"rendered":"Capacity Command Center: Machine Learning & Hospital Management at Johns Hopkins"},"content":{"rendered":"

Machine learning will become an indispensable tool for clinicians seeking to truly understand their patients. As patients\u2019 conditions and medical technologies become more complex, its role will continue to grow, and clinical medicine will be challenged to grow with it. As in other industries, this challenge will create winners and losers in medicine. But we are optimistic that patients, who generously \u2014 if unknowingly \u2014 donate the data underlying algorithms, will ultimately emerge as the biggest winners as machine learning transforms clinical medicine. (Obermeyer 2016, NEJM)
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A Broken Winning Streak but a Promising Future
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In 2012, a 21-year winning streak was broken when Johns Hopkins Hospital was displaced as the #1 ranked hospital in the United States [1]. In the past few years, Hopkins has embraced new technology and processes that may help them reclaim their #1 spot and, more importantly, lead the way in the transformation of their field.<\/p>\n

Healthcare offers some of the most impactful opportunities to apply machine learning. Artificial intelligence has the potential to improve patient outcomes, provide a better patient experience, and dramatically increase hospital efficiency and cost savings [2]. A report by Accenture estimates that AI applications can potentially create $150 billion in annual savings for the United States healthcare economy by 2026 and that the AI health market is expected to reach $6.6 billion by 2021\u2014representing a compound annual growth rate of 40 percent [3].<\/p>\n

The Capacity Command Center
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In 2016, Johns Hopkins Hospital teamed up with GE Healthcare Partners to launch a Capacity Command Center- a dedicated space, staff, and set of tools aimed at transforming how the hospital delivered care [4]. The Command Center leverages prescriptive and predictive analytics, machine learning, natural language processing, and computer vision to convey key information to decision makers in real-time [5]. The system translates about 500 messages per minute from 14 different IT systems to provide these decision makers with actionable information, empowering them to coordinate services and to reduce bottlenecks, patient wait times, and risks [6].\u00a0 The introduction of the Command Center was as much about people and process as it was about technology. Jeff Terry, CEO of GE Healthcare Partners, describes it as \u201can excuse to get decision makers in the same room and an impetus for a hospital to transform its processes [4].”\u00a0 The new process fosters a completely new approach to collaboration by collocating 24 staff who would previously have been distributed [7].<\/p>\n

Initial results are promising. The hospital reports gains in several key domains [6]:<\/p>\n