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.
Features
Tennr offers a variety of features that streamline healthcare operations through advanced document processing capabilities. Below is a detailed overview of its key 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
Tennr can be utilized across various scenarios in healthcare settings:
- Hospitals: Streamlining patient intake processes by automating the extraction of information from admission forms and faxes.
- Clinics: Enhancing the efficiency of clinical audits by automating the review of patient records and documentation.
- Insurance Providers: Managing prior authorization requests more effectively by automating the verification of patient coverage and eligibility.
- Healthcare Administrators: Reducing administrative workload through automated claims processing and eligibility checks, allowing staff to focus on patient interactions.
How to get started
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.
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<h2>Tennr AI Agent Pricing</h2>
<p>Pricing information for Tennr's AI agent is not available.</p>