Figure 1.
Schematic diagram of the Vent.io real-time deployment pipeline.

Schematic diagram of the Vent.io real-time deployment pipeline. The real-time platform extracts data at an hourly resolution of all active patients using FHIR APIs and passes the input feature set (consisting of laboratory measurements, vitals measurements, comorbidities, medications, and demographics) to the Vent.io inference engine. The Vent.io risk scores generated by the Vent.io pipeline are then written back to the EHR as a flow sheet item through an HL7 device data interface. The flowsheet then triggers a nurse facing Best Practice Advisory that alerts the caregiver that the patient is at risk of needing mechanical ventilation within a 24-hour window. AWS = Amazon Web Services; EC2 = Elastic Compute Cloud; FHIR = Fast Healthcare Interoperability Resources; HL7 = health level 7; RDS = relational database service.

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