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Turn up the signal.
Shut down the noise.
Our vision is a hospital free of inactionable alarms.
Bedside vital signs equipment and other medical devices are critical tools for clinicians, but generate a lot of unnecessary noise in the ICU. These devices are often a one-size-fits-all solution, rather than tailored to a patient’s specific needs. CalmWave is a platform that determines optimized alarm settings, using patients’ unique physiological information and advanced Transparent AI mathematical algorithms, so clinicians can adjust device settings to reduce non-actionable alarms.
Operations Health™ is an objective measurement of workload events that you can define, capture, and analyze in order to streamline your clinical operations.
Applied to Healthcare, CalmWave’s Operations Health artificial intelligence platform captures, analyzes, and synthesizes real-time data from dozens of different medical devices in order to empower hospitals with the intelligence critical to improving patient outcomes, optimizing operations, and retaining staff.
Streamlining Operations Hospital-Wide
Explore how CalmWave can positively impact your team by clicking on one of the use-cases below.
Distill Hospital Data Into
Simple, Actionable Insights.
Provides an objective measure of performance.
- Gives an objective score based on vital signs and EMR activity
- Analyzes workload by provider, unit, or hospital in various increments
- Provides a clear method to monitor employee health, leading to enhanced critical resource orchestration and retention
Generates customized models for each patient.
- Provides patient specific recommendations
- Can be used to inform alarm threshold settings and estimate overall noise reduction
- Uses real-time and historical data
Determines optimized settings for each unit and patient.
- Ingests and analyzes a department’s historical data to determine optimized unit level thresholds.
- Identifies clusters and cohorts based on various inputs collected, such as interventions, medications, labs, findings, patient history, etc.
Measuring Operations Health With Analytics.
By using advanced machine learning techniques, it’s possible to determine more optimal alarm parameters. This information can also be used along with other key data inputs to provide an overall measure of clinician workload.
CalmWave can also use these tools to reduce track employee health and improve patient outcomes.