About Keebler Health

Keebler Health offers an AI-first risk adjustment platform that integrates diverse data sources, including FHIR and HIE, to enhance clinical decision support for medical billing teams. The platform improves accuracy in risk adjustment coding and streamlines workflows, enabling teams to uncover hidden complexities and expedite audits.

```xml <problem> Medical billing teams face challenges in accurately capturing patient risk profiles due to fragmented data sources and complex coding guidelines. Incomplete or inaccurate risk adjustment coding can lead to revenue leakage and compliance issues for risk-bearing entities. Traditional methods often lack transparency and struggle to handle diverse data formats, hindering efficient clinical decision support. </problem> <solution> Keebler Health offers an AI-powered risk adjustment platform designed to improve the accuracy and efficiency of medical billing processes. The platform integrates data from various sources, including FHIR, HIE, and even unstructured data like faxes, to provide a comprehensive view of patient risk. By leveraging a next-generation AI transformer, Keebler identifies risk adjustment opportunities with transparency, providing confidence scores, supporting evidence, and counterfactual analysis. This enables clinical documentation improvement (CDI), coding, and audit teams to uncover hidden complexities, expedite audits, and ensure accurate HCC coding. </solution> <features> - AI-powered risk adjustment opportunity identification with transparency and supporting evidence - Integration of diverse data sources, including FHIR, HIE, and unstructured data - Next-generation AI transformer built specifically for risk-bearing entities - Native FHIR integration for seamless EHR connectivity - Capability to handle "dirty data" without extensive normalization - Out-of-the-box support for v28 HCC codesets - Pre-visit planning tools to optimize clinical documentation - Streamlined HCC coding workflow </features> <target_audience> The primary target audience includes medical billing teams, clinical documentation improvement (CDI) specialists, coding professionals, and audit teams within risk-bearing entities such as health plans and accountable care organizations (ACOs). </target_audience> ```

What does Keebler Health do?

How much funding has Keebler Health raised?

Keebler Health has raised 6000000.

Funding

6000000

Employees

18 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Keebler Health

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

keebler.health 2K+

Crunchbase

Funding

Estimated Funding

$5M+

Team (15+)

No team information available.

Company Description

Problem

Medical billing teams face challenges in accurately capturing patient risk profiles due to fragmented data sources and complex coding guidelines. Incomplete or inaccurate risk adjustment coding can lead to revenue leakage and compliance issues for risk-bearing entities. Traditional methods often lack transparency and struggle to handle diverse data formats, hindering efficient clinical decision support.

Solution

Keebler Health offers an AI-powered risk adjustment platform designed to improve the accuracy and efficiency of medical billing processes. The platform integrates data from various sources, including FHIR, HIE, and even unstructured data like faxes, to provide a comprehensive view of patient risk. By leveraging a next-generation AI transformer, Keebler identifies risk adjustment opportunities with transparency, providing confidence scores, supporting evidence, and counterfactual analysis. This enables clinical documentation improvement (CDI), coding, and audit teams to uncover hidden complexities, expedite audits, and ensure accurate HCC coding.

Features

AI-powered risk adjustment opportunity identification with transparency and supporting evidence

Integration of diverse data sources, including FHIR, HIE, and unstructured data

Next-generation AI transformer built specifically for risk-bearing entities

Native FHIR integration for seamless EHR connectivity

Capability to handle "dirty data" without extensive normalization

Out-of-the-box support for v28 HCC codesets

Pre-visit planning tools to optimize clinical documentation

Streamlined HCC coding workflow

Target Audience

The primary target audience includes medical billing teams, clinical documentation improvement (CDI) specialists, coding professionals, and audit teams within risk-bearing entities such as health plans and accountable care organizations (ACOs).