Handl Health is an AI platform that utilizes proprietary models to analyze publicly available healthcare pricing data, enabling benefits consultants to evaluate carrier networks and provider costs effectively. By identifying potential savings and disruption risks, Handl Health enhances the design and management of health plans, resulting in significant cost reductions for clients.
Funding
$4.6M raised to dateRaised 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.
AHIW+1Founders
Product
Problem
Benefits consultants often struggle to effectively evaluate healthcare carrier networks and provider costs due to the complexity and lack of transparency in healthcare pricing data. Relying solely on carrier-provided discounts can limit the ability to identify true savings opportunities and potential disruption risks when switching plans.
Solution
Handl Health offers an AI-powered platform that analyzes publicly available healthcare pricing data, providing benefits consultants with comprehensive network analytics. The platform, named Iris, allows users to evaluate networks using contracted rates and understand the potential disruption risk associated with changing client plans. By identifying variations in healthcare costs and high-performing providers, Handl Health enables consultants to design plans that drive cost savings and improve member outcomes. The platform also facilitates the integration of these insights into member tools, guiding individuals toward cost-effective care options.
Target Audience
Handl Health primarily targets benefits consultants seeking to gain and convert more leads, enhance client retention, and achieve cost savings objectives for their clients' health plans.
Features
- Comprehensive data analytics tool (Iris) for evaluating healthcare networks using contracted rates.
- Identification of cost variations across and within networks.
- AI models for cleaning and organizing publicly available healthcare price transparency data at scale.
- Three-step validation process to ensure data reliability, including matching multiple datasets, comparing rates against industry benchmarks, and reconciling with claims data.
- Integration with member tools to guide individuals toward high-performing, cost-effective providers.