Jeremy Powell
Founder
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.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
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.
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).
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