PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

PulseData is advancing healthcare with data-driven actionable clinical insights giving payers, providers and other value-based care organizations the power to improve clinical and financial outcomes, close care gaps, and improve HEDIS and CAHPS scores. PulseData leverages large, diverse datasets and deep clinical expertise to effectively identify patients with chronic conditions. Using cutting-edge machine learning and AI models, PulseData enables early intervention, equipping healthcare teams with informed, data-driven insights precisely when they matter most – at the point of care.

PulseData’s thoughtful model development avoids machine learning biases, prioritizes model explainability and ensures optimal model performance. Our tailored collaborative approach with our valued clients creates meaningful, impactful, and relevant workflows. The resulting actionable insights can be viewed on our platform and seamlessly integrated into clinical workflows to enhance and support care management workflows.

At the nexus of technology and healthcare, PulseData empowers providers to make well-informed decisions, which improve patient outcomes, reduce costs, and improve program performance. Learn More at pulsedata.ai.

Web-based clinical intelligence platform, primarily utilized in critical care units to guide clinical decisions. The platform has full interoperability with the Electronic Health Record, and combines all relevant data within the complex critical care environment into one visualization to provide a full picture of a patient and their longitudinal trends. FDA-cleared algorithms continually assess the incoming patient information and provide early warning signs of clinical deterioration to aid care teams with determining interventions and treatment. Automated clinical workflows, customized to each individual ICU, provide care efficiency and positively impact clinical outcomes. 

Published clinical outcomes showing:

• Up to 36% reduction in ICU length of stay
• 41% reduction in ICU readmissions
• 22% reduction in time on ventilation
• 18% reduction in time on vasoactive medication

Commercial stage company with market leading AI clinical decision support platform for bedside and remote monitoring of high acuity patients. Published outcomes and strong ROI; utilized in 40+ hospitals & health systems.

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

Etiometry provides functionality to seamlessly extend the EHR to be effective for care in high-acuity patient settings (e.g. ICU), including automating clinical workflows, and providing in-depth, longitudinal trends.

Etiometry is the only CDS platform with 4 FDA-cleared risk algorithms and the platform's data collection capabilities have led to a vastly larger number of supporting clinical studies (>150).