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Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
TriageGO
TriageGO

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Brim
Brim

Categories

Solutions

Description

Product Description:

TriageGO is a software tool that leverages machine learning to suggest an acuity-level at triage, based on the likelihood of various ED (emergency department) outcomes. The tool supports the nurse by providing an actionable data point and, combined with their own clinical judgement, enables the nurse to sort patients into the correct trajectories for care in the Emergency Department. TriageGO empowers the clinician to better-differentiate patients based on their clinical risk, and in doing so, has impactful operational benefits; decreasing time-to-provider, time-to-emergent care for high-risk patients, and time-to-discharge across the board. TriageGO is seamlessly embedded within the EHR (Epic & Cerner) so that it is not disruptive to the clinician's workflow.

About Beckman Coulter:

None provided

Product Description:

Brim Analytics is driving to the next cure, faster with a democratized AI-guided chart abstraction system. Chart abstraction is the process of converting unstructured clinical notes into structured data, an essential task across healthcare, including clinical trial matching, academic research, registries for cancer and heart disease, and many more. Brim is an AI-guided tool for chart abstraction that prioritizes privacy and security, creates traceability of data, and is dramatically faster than human curators alone.

About Brim Analytics:

Faster, smarter chart abstraction to streamline clinical workflows, pre-screen clinical trials, accelerate retrospective research, and more.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Brim learns from the actions taken on previous variable values to improve abstraction for all future variables - eg in a clinical workflow use case, the AI would adapt to implement any changes the clinician makes.

Brim has EHR-agnostic import and export to fit seamlesslly into any system.

Brim allows researchers and clinicians to complete abstraction intuitively and transparently, without worrying about the underlying AI.

Brim is an AI-guided abstraction platform that prioritizes security: - We don't train on your data. - Brim is fully containerized and can be deployed in your system or your institution's cloud environment for data control. - Brim uses your institution's approved LLM endpoint, for limiting vendors.

Brim can seamlessly share variables across multiple sites, and starting a new site is as easy as adding a project and a few users in your implementation.

Use Cases

Description:

When a patient comes into an Emergency Department (ED), they are triaged into one of five acuity-levels; 1 being high-acuity, likely in need of intensive care or emergency intervention, 5 being low-acuity, not likely to need intensive care, emergency intervention, or hospitalization, and therefore likely to be discharged home. The current methodology of triage in most United States EDs is a manual desicion tree based on anticipated resource-utilization. However, using this system, the majority of patients are assigned to an acuity-level 3, with poor differentiation based on their actual clinical risk (as resource utilization is a poor proxy for clinical risk). This can make it very difficult for clinicians to properly identify which of these mid-acuity patients needs care most urgently, and often creates a clutter effect causing increased wait-times in the ED. 

When TriageGO is installed within the triage workflow in an ED, it helps the nurse to discern a patient's actual clinical risk, and prioritize them appropriately. When patients are sorted into the correct trajectories for care immediately upon being triaged, the clutter effect is reduced. EDs who use TriageGO observe decreased time-to-provider, time-to-ICU, time-to-OR, time-to-admission, and time-to-discharge. 

Pediatric use cases:

Pediatric application of TriageGO is the same, except the model is adjusted for pediatric clinical presentations. 

Users:

Emergency Nurses, Emergency Physicians, Emergency Dept Administrators

Description:

Brim is an abstraction tool to extract and calculate fields from unstructured clinical notes. Use cases include:

  • Clinical trial pre-screening
  • Streamlining clinical workflows
  • Abstracting data for registry submission
  • Retrospective medical research
Pediatric use cases:

Brim is a post-clinical tool, so it can be used for the same applications in pediatrics.

Users:
  • Abstractors
  • Researchers
  • Registrars

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Point Click Care

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

TriageGO embodies the principles of Open Innovation fostered by EHRs like Epic & Cerner who support an app-market-style ecosystem. While some risk-predictive features exist within current EHRs, there is no comparable solution for risk-stratification at triage, trained on the data within that hospital's instance of the EHR. 

Differentiators vs Competitors:

There is one similar product on the market known as KATE from Mednition. This product still relies in the resource-based ESI methodology of triage. One hospital using KATE reported just 65% accuracy in triage asignment. In an evaluation done at Johns Hopkins, where TriageGO was invented, the tool demonstrated 78% sensitivity to identify patients who went on to need critical care, and a 120% improvement over ESI to identify those who went on to need an emergency procedure. It was also observed that using TriageGO, the rate of low-acuity patients who were ultimately hospitalized went from 6% to 3%. 

Differentiators vs EHR Functionality:

Brim enables fast and flexible abstraction of structured data from unstructured notes.

  • Fast Abstraction. AI-guided generation saves 80% of the time relative to manual abstraction with comparable accuracy.
  • Scalable. Abstract data at scale, rather than note-by-note.
  • Flexible. Easily iterate on the fields you derive as you learn or your process evolves.
  • EHR-agnostic. Import and export via a standard format.
Differentiators vs Competitors:
  • Privacy and Security first. Brim is fully secure, and we do not train on your data. You can implement in your institution's cloud environment, or in a single-tenant deployment. Leverage your institution's LLM endpoint. Brim supports Open AI, Azure Open AI, Bedrock, and other LLMs to get the newest foundational models without adding another vendor.
  • Built for researchers and abstractors. Purpose-built interface for abstraction helps humans move faster and improves the accuracy of abstracted data.
  • Domain flexibility. Brim has been used for projects in cancer research, clinical trials, orthopedic injuries, and many more. Brim optimizes variables for your project based on your feedback, improving abstraction in real time.

Keywords

Images

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Evidence from Raw Notes

Videos

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Why Brim Analytics

Downloads

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