AirStrip® Insight

AirStrip® Insight delivers near real-time clinical insights by putting patient data into context, flagging at-risk individuals, and integrating unit-specific protocols.

• Aggregation of data sources to paint a comprehensive picture of the patient based on established protocols.
• Surveillance and visual display of defined patient data.
• Prioritization of patients deemed most critical by digitizing required standards of care and early warning scores.
• Actionable Insights that inform clinical decisions.

Patient View The patient view includes clinical updates, notifications, automated protocol management, and visual cues to help the health care team prioritize patient assessments and interventions.

Unit View The unit view can be filtered based on clinical priorities like Sepsis, Ventilation, or NEWS score. This unit view of a 15-bed ICU shows four patients identified by the hospitals' preset thresholds who require attention for possible Sepsis or Ventilation issues. Patient tiles or beds requiring intervention are highlighted in red and displayed along the top based on the criteria established by the hospital. Clicking on any of the beds will take you to a detailed patient view.

Facility View The facility view displays patients who meet preset thresholds and criteria. The clinician can adjust the threshold for the early warning score alerts based on the patient population. This enterprise view shows multiple patients who have screened positive with a national early warning score value of 4+.

Features

• Patient View: Displays vital trends, medications, alerts, and protocol checklists to guide timely interventions.
• Unit View: Highlights patients needing attention based on clinical priorities like Sepsis or Ventilation.
• Facility View: Aggregates critical alerts across departments using customizable early warning score thresholds.
• Protocol Bundles: Digitized care bundles for conditions like Sepsis and AKI streamline compliance and response.
• Medication Overlay: Correlates medication timing with vital sign trends for better clinical decision-making.