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

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Brim
Brim

Categories

Solutions

Description

Product Description:
Kintsugi Voice is an API-first platform that uses novel voice biomarkers in speech to identify, triage, and care for mental health. Our technology supports multiple use-cases to help more people get the right care at the right time.  We focus on early detection that allows you to lower cost and improve patient outcomes. Augment clinical staff and care-management teams Improve speed to triage Improved member outcomes Close mental health gaps
About Kintsugi:

Kintsugi Voice is an API-first platform, we are developing novel voice biomarker infrastructure to detect signs of clinical depression and anxiety from short clips of free form speech. We help healthcare organizations scale access to mental healthcare with smarter, more accurate triage. Our technology supports multiple use-cases to help more people get the right care at the right time.  We focus on early detection that allows you to lower cost and improve patient outcomes. We have created the first clinical-grade voice biomarker diagnostic (U.S. Patent-Pending and FDA De Novo pending) to measure the severity of depression and anxiety in real-time.

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:

Retrospective Scoring

  • Immediate deployment, running recorded audio files through Kintsugi Voice Model.
  • No integration necessary.
  • Minimum technical support.

Real-time clinical decision support

  • Integrate Kintsugi Voice into virtual care / telehealth / pop health.
  • Provide real-time results at point of care.

Enterprise support

  • Provide retrospective and real time Kintsugi Voice integrations across the organization.
  • Provide real-time results at point of care and push retrospective data to clinical dashboards.
Pediatric use cases:

None provided

Users:

Call Center Staff, Clinical Staff, Providers, Doctors, Population Health Staff, Payer Staff, Value Based Care Teams, Innovation

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, Ambulatory EMR, Pop health platform, Website / public online sources

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic, athena, Cerner, eClinicalWorks, Athenahealth, Meditech

Hardware Compatibility:

Not applicable

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

None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:
  1. Kintsugi Voice only needs 20 seconds of free from speech vs. a manual screen that takes roughly 10 minutes.
  2. Kintsugi Voice is language agnostic and does not listen to what a patient is saying, but how they are saying it.
  3. Kintsugi has the largest annotated patient data model, validated by a psychiatrist team with more than 7 years experience. This allows us to predict depression and anxiety with high specificity and severity, based off of PHQ-9 standards.
  4. Kintsugi Voice’s flexible API enables hundreds of workflows from retrospective to live in-call scoring. Typical depression screenings are typically delivered 1 time and not longitudinal. We provide the ability to longitudinally track patients across a period of time.
Differentiators vs Competitors:
  1. We are not a NLP tool, we do not need any canned speech and or paragraph read to detect depression and or anxiety.
  2. We have the largest annotated data model in the world with over 35k patients.
  3. We are supporting over 1M at risk lives.
  4. 2X accuracy rating compared to the standard of care.

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

https://www.businessinsider.com/brain-waves-voice-markers-biomarkers-treat-mental-health-depression-ptsd-2022-8
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https://www.brimanalytics.com/post/faster-enrollment-for-fine-grained-clinical-trials

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