CalmWave utilizes Transparent AI to optimize medical device alarm parameters in hospitals, significantly reducing non-actionable alarms that contribute to clinician burnout and patient distress. By analyzing real-time data from vital signs and EMR systems, CalmWave enhances clinical efficiency and improves patient outcomes through tailored alarm settings.
Funding
$13.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+7Founders
Product
Problem
ICU environments are often plagued by excessive non-actionable alarms from bedside medical devices, leading to alarm fatigue among clinicians and potential cognitive overload for both staff and patients. These unnecessary alarms contribute to clinician burnout, reduce patient safety, and negatively impact the overall quality of care.
Solution
CalmWave offers an AI-powered platform designed to optimize medical device alarm parameters within hospitals, significantly reducing the number of non-actionable alarms. The platform ingests and unifies real-time data from various sources, including bedside monitors and EMR systems, to generate customized alarm settings tailored to individual patients and specific units. By applying Transparent AI algorithms, CalmWave identifies optimal alarm thresholds, enabling clinicians to focus on critical events while minimizing unnecessary noise. The system provides actionable insights, improves operational efficiency, and enhances both patient and staff well-being, contributing to a quieter and more effective ICU environment.
Target Audience
CalmWave primarily targets hospitals and health systems, specifically those looking to improve patient safety, reduce clinician burnout, and optimize operational efficiency within their intensive care units.
Features
- Real-time data ingestion and unification from bedside monitors, EMR systems, and other relevant sources
- Transparent AI algorithms that provide clear explanations of how recommendations are generated
- Customizable alarm settings tailored to individual patients and specific ICU units
- Threshold Manager to determine optimized unit-level thresholds based on historical data
- Operations Health Scoring to provide an objective measure of performance based on vital signs and EMR activity
- Real-time analytics and reporting to track performance and outcomes
- Integration with existing hospital IT systems for seamless data flow