The Beat Intelligence Platform
Building the data foundation for healthcare AI. Turning our bedside data into research-ready intelligence and the future of clinical insight.
The Challenge of AI in Healthcare: Why Models are Falling Short
Developing effective and robust adverse event algorithms requires data that are accurate, homogeneous, and properly labeled, conditions rarely met by existing medical record systems. EMR datasets are often sparse, manually entered, and asynchronous, creating noise and variability that limit model performance. This results in delayed insights, false alarms, and poor clinician trust.
​
Even the most advanced algorithms are only as effective as the data they receive. When models rely on manually entered or delayed EMR values, critical changes in a patient's condition can be missed between updates, resulting in both poor predictive and clinical value.
Darroch's vertically integrated data platform was designed to overcome these barriers from the ground up.
Darroch Medical Solutions is gathering the data and creating a unique platform to solve this problem.
​
Better resolution, in abundance.
Through the Beat Analytics System, Darroch captures continuous, homogeneous measurements across multiple devices at sub-minute intervals. Each data point is time-synchronized and labeled, enabling a level of granularity and reliability rarely seen in healthcare datasets.
​
The depth and consistency form the backbone of future AI models capable of understanding clinical patterns with unprecedented precision.
​
Individual-Specific Algorithms
Each patient's physiology is unique, yet most machine learning models are trained on averaged, retrospective data. The Beat Intelligence Platform is designed too change that by providing continuous, high-fidelity inputs that reflect each patient's distinct profile over time.
​
By pairing high-frequency device signals with demographic and pharmacologic data, Darroch can generate richer, more representative datasets for future research. These datasets will allow the development of adaptive algorithms that account for patient variability
Our Data Changes What's Possible
Data shown for illustrative purposes. The Beat Intelligence Platform is for investigational use only.
Beat Analytics System In Action:
Sepsis Recognition
Darroch’s machine learning models have been published in leading medical journals, demonstrating predictive performance on par with the best current approaches in adverse event detection. These models form the foundation for our next generation of work: Algorithms trained on continuous, high-frequency datasets that extend beyond what is available in traditional records.
​
Our upcoming research incorporates synchronized COâ‚‚ and blood-gas data streams to better characterize early physiologic changes associated with sepsis. By modeling these subtle variations before critical organ dysfunction occurs, we aim to create systems that enhance clinical awareness and enable earlier intervention windows.
This device is for Investigational Use Only. The performance characteristics of this product have not been established. All performance claims listed are project goals only. This device is not yet available for use in the U.S. and is pending submission and clearance by the U.S. Food and Drug Administration.
