Communications Capabilities Required in Real-time, Predictive Clinical Operations
Many health systems are implementing various forms of clinical command centers that apply an “air traffic control” model to monitor and synthesize data for real-time situational awareness to better drive operations. Increasingly predictive analytics can alert to expensive bottlenecks, delays and risks in patient progression through a hospital visit.
This session will categorize and describe approaches to command center operating models to address problems ranging from capacity management and patient flow to clinical deterioration risk, and to providing centralized virtual care. Although there are various approaches, they all start with an ability to aggregate data into a centralized repository and apply machine learning and predictive analytics to develop insight into operational factors such as barriers to discharge, and patient risk factors such as deterioration and sepsis risk.
The session’s specific focus will be on solving the “last mile” problem of communicating actionable insight to the right person in the right context. The assumption is that a holistic system requires both the analytics-driven nerve center as well as the peripheral nervous system of clinical communications technologies.
This focus group will inform a dialog to gather best practices and lessons learned for building towards a more real-time and proactive approach to operations.
- Discuss progress made with various forms of command center operating models
- Identify foundational requirements for the cultural, process, and technology capabilities needed for this “central nervous system”
- Discuss specific thoughts about the clinical communications technologies helpful in shortening the time to action in improving operations and reducing risk to patients
Start Date: 08/27/2019
Event Type: Archived , Online Focus Group
Mike Wisz, Director, Analytics – Healthcare, Burwood Group