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See Adverse Events Before They Happen 

Darroch turns high-frequency bedside data into insights that help clinicians intervene earlier and reduce complications

The Beat Analytics System unifies bedside data into one continuous stream of insight 

Autonomous Data Capture

High-frequency, multi-device data - no manual entry required

Cross-Functional  Analysis

Trend detection across devices to uncover what EMRs miss

Patient Insights, Anywhere

Bedside data and insights available right in the palm of your hand

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Darroch Medical Solutions
is creating better knowledge workers by making more data accessible, contextual, and actionable

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Beat Analytics System

The foundation of our Platform, the Beat Analytics System autonomously connects to bedside medical devices to collect continuous, high-fidelity data across multiple sources.

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Lumori App

Lumori brings device data directly to clinician's hands, creating better knowledge workers who can leverage better data to identify the precursors for adverse events faster.

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The Beat Intelligence Platform

Darroch's AI platform and data warehouse leverages de-identified, high-frequency datasets to support advanced research, algorithm development, and patient safety initiatives. 

We're collaborating with leading hospitals and researchers to explore how high-frequency device data can deepen clinical understanding and support predictive research

Explore our case studies on bed exit prevention and publications on AI models.

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We are looking for Investors.

Are you interested in our mission of helping improve hospital care, and creating the future of Medical AI platforms?

Our Story

Darroch Medical Solutions, Inc. was founded in 2018 by three engineers from the University of San Diego with the intention of addressing the technical, operational, and capital limitations associated with continuous remote monitoring and adverse event anticipation among patients outside of the intensive care setting.

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Our team of healthcare practitioners, hospital executives, and engineers work together to drive innovation and create datasets that will be the foundation of better AI and data modeling.

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