Beat Analytics System
Constructing Proactive Care Environments
The Beat Analytics System (BAS) is a near real-time remote monitoring platform capable of integrating data from a variety of medical instruments and presenting nurses with a cohesive patient profile designed to support nurse decision making, enhance patient insight, and aid in the discovery of adverse events.
BAS connects to existing medical instruments through proprietary and specialized attachments which can aggregate data, metadata, and alarm conditions at speeds of up to once per second.
This allows us to unlock new and valuable metrics which healthcare practitioners can use to understand their patient, such as IV back pressure, or load cell variations in beds.
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 US and is pending submission and clearance by the United States Food and Drug Administration.
Feature | Beat Analytics System | Competitors |
|---|---|---|
Data Frequency | Once per minute at consistent intervals | Once per hour (ICU) or once/2h (non-ICU) |
Data Homogeneity | Constant homogeneous measurements | Dependent on nurse inputting values |
Data Accuracy | Errors prevented since data is captured directly from medical device | Prone to transcription errors |
Aggregated Data | Vital Signs, IV, Bed Scales. Future: EMR demographics/genealogy | Vital Signs, EMR Demographics/Genealogy |
Adverse Event Label* | Allows retrospective label input | Not inputted |
AI output* | Minute/Minute outputs | Hourly Outputs |
Demographic* | Inpatient & Outpatient | Inpatient only |
User Interface | Lumori Mobile App | Outdated desktop EMR interfaces |
*Feature in development
The Beat Analytics System is the future's AI + ML platform
With the immensely powerful data collected by the Beat Analytics System, we can begin looking at the minute changes in a patient’s vital signs throughout their hospitalization, potentially shedding light on new microtrends within medicine. Having homogenous datasets for AI is critical to model performance, and our datasets will be free from manual transcription errors and data inconsistencies, creating more granular models that can create more actionable insights for practitioners.
Our intention is to create a new foundation for future AI development with cleaner datasets that can be correlated with disease markers and management. By creating a vertically integrated data aggregation, analysis, and presentation platform, our models can utilize the vast amounts of currently unaggregated data in medical devices and create models for “unavoidable adverse events” such as adverse drug events, serious bed exits, and IV thrombosis.
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 US and is pending submission and clearance by the United States Food and Drug Administration.
Lumori App
Mobile, real-time data is the key to giving nurses the best chance at giving their patients the optimal quality of care.
By harnessing cloud technology and the data collected by the Beat Analytics System, multiple healthcare practitioners can easily understand the status of their patient’s medical devices wherever they are in the hospital, as if they were always with the patient, with a mobile application, Lumori.