HIMSS Interoperability Showcase - AI Automation at the Edge

Healthcare AI has transformed detection and care in many healthcare areas. Sepsis is a costly and life-threatening condition resulting in multi-organ failure. Beating conditions like sepsis requires rapid detection and mitigation of risks. Recovery at home is often preferred, yet medical teams often lack the capability to perform constant surveillance for emerging risks across their patient cohorts, especially in rural settings. We will demonstrate an early warning system driven by Healthcare AI at the Edge, fed by at-home post-operative monitoring and automated Clinical care escalation and coordination processes.
This use case solution follows a vulnerable, post-operative patient, Alani, as she recovers from surgery in her home setting. Based on discharge criteria, Alani is automatically engaged by the healthcare AI platform to gather critical health details (temperature, blood pressure, pain levels) which are then assessed against discharge thresholds for potential escalation. This monitoring continues throughout the recovery period, with gathered details pushed to the care team based upon either threshold or temporal criteria. Advanced clinical healthcare AI is included within the flow to ascertain the need for escalation to a clinical care team due to change in patient condition. Learn more.

What is the Interoperability Showcase?