Tennr is an advanced AI-driven automation platform designed specifically for the healthcare sector, focusing on the efficient processing of documents and administrative tasks. Founded by Trey Holterman, Diego Baugh, and Tyler Johnson, who are Stanford University alumni, Tennr seeks to tackle the growing administrative burden faced by healthcare providers. By leveraging machine learning technologies, Tennr optimizes workflows and minimizes manual errors, thereby enhancing operational efficiency and improving patient care. Tennr offers a variety of features that streamline healthcare operations through advanced document processing capabilities. Below is a detailed overview of its key features: Tennr can be utilized across various scenarios in healthcare settings: To begin using Tennr, interested parties can explore initial offerings by contacting the company directly for a demonstration or trial. Further information may also be available through their official website or GitHub repository, where additional resources and documentation can be found.Features
Feature
Description
AI-Powered Document Parsing
Utilizes the proprietary RaeLM™ model, trained on over 4 million medical documents, to efficiently parse unstructured data and extract relevant information.
Multi-Patient Model
Processes documents with multiple patient data points, enhancing accuracy and reducing processing time.
Checkbox Reading Capability
Features a custom-built checkbox reader trained on a large dataset, allowing accurate processing of checkbox forms.
Automated Patient Intake
Automates referral intake and captures essential patient information from faxes for efficient scheduling.
Clinical Audits and Reviews
Facilitates detailed audits of clinical documents, reducing time and improving documentation standards.
Prior Authorization Requests
Manages prior authorizations by navigating complex insurance requirements, speeding up the process.
Eligibility & Benefit Checks
Verifies insurance eligibility to streamline approvals and avoid errors.
Medical Record Management
Organizes patient records and automates classification and data extraction by integrating with EHR systems.
Claims Processing
Expedites claims submissions, reducing delays and rejections, allowing providers to focus on patient care.
Use cases
How to get started
Pricing information for Tennr's AI agent is not available.Tennr AI Agent Pricing