Tennr is a medical document analysis tool. It has RaeLM, which is a vision language model. It is trained in over four million medical documents and 8,000 pages of classifications. This is why it has become a reliable document reasoning tool. It can process the patients within ten minutes. In addition, you can learn about the incorrect and missing documents to make sure billing is accurate.�
One of the best things about Tennr is that it can automatically create orders and charts. Also, it reduces the denial rate by qualifying the patients. Lastly, it can improve communication between healthcare providers and patients.
Performance Score
A+
Document Reasoning Quality
Accurate and professional-grade reasoning of medical documents
Interface
Intuitive
AI Technology
- Natural language processing
- RaeLM, a proprietary vision language model
Purpose of Tool
Reads and analyzes the medical documents to reason with information and respond
Compatibility
Web-based interface
Pricing
Book a demo
Who is Using Tennr?
- Physicians and Clinicians: They can quickly process patient records, medical reports, and other documents. It helps save time and improve healthcare provision efficiency. ��
- Medical Coders: They can automate the process of coding medical documents. It helps in reducing errors and improving accuracy.�
- Billing and Revenue Cycle Managers: They can help identify missing or incorrect information in medical records. It helps in preventing claim denials and improving revenue cycle management.
Patient processing
Streamlined communication
Upstream automation
Missing information identification
Charts creation
Prior authorizations
Patient qualification
Document reasoning
Is Tennr Free?
No, Tennr is not a free tool. However, they have not mentioned pricing information on the website. Instead, you must book a demo on the website.
Tennr Pros & Cons
Improve the patient processing time.
Get prior authorization for patient admission.
Identify errors and missing information in the documents.
Triage and label the documents.
Create patient charts and tables.
Automates patient qualification.
The initial setup is complex.
