Why Are Healthcare Practices Switching to Intelligent Document Processing for Data Entry?
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See how intelligent document processing speeds up medical referrals and patient intake. Learn how AI tools automate clinical paperwork, verify insurance, and eliminate manual data entry. Read on to explore how intelligent document processing works in practice and discover the top startups automating healthcare administration today.
Tennr: Accelerating Medical Referrals
Handling medical referrals has always been slow and paperwork-heavy, but Tennr is changing that. By combining a large language model trained on over 100 million documents with a vision-language model built to read messy, handwritten doctor notes, Tennr automates the most time-consuming administrative tasks.
For medical practices, this means completing the entire patient intake and referral process in under five minutes.
Instead of staff hunting through faxes, emails, and e-prescriptions, Tennr pulls all incoming documentation into a single, organized inbox. From there, the software automatically tags the relevant details, extracts them, and files them directly into the patient’s electronic health record (EHR). It even takes care of insurance verification—running real-time eligibility checks and placing automated calls to insurance providers to confirm benefits.
Following its mission to modernize front-office operations, Tennr recently secured $101 million in a Series C funding round, bringing the company’s valuation to $605 million.
The Rise of Intelligent Document Processing (IDP)
Tennr sits at the forefront of a broader industry movement known as Intelligent Document Processing (IDP).
Unlike basic scanners, AI-driven IDP platforms read documents in context. They understand what the numbers and notes actually mean, grab the necessary data, and route it instantly to the correct software system. This drastically cuts overhead costs and speeds up daily workflows across entire industries. In fact, current projections indicate that automated systems will absorb more than 7.5 million manual data entry jobs by 2027.
Top Startups Leading the IDP Market
Several innovative companies are driving this automation wave alongside Tennr:
- Orby AI: This platform lets anyone build custom AI agents and automate complex workflows without writing a single line of code. Once set up, these agents seamlessly transfer and upload data across different enterprise software systems.
- Medsender: Built specifically for healthcare providers, Medsender automatically categorizes incoming clinical files and logs them straight into patient charts. It integrates smoothly with dozens of existing electronic medical record (EMR) platforms.
- Docsumo: A versatile IDP tool that goes beyond simple data extraction. Docsumo can take massive, multi-page files, split them into individual documents, apply standardized naming rules, and convert scattered, unstructured notes into clean, structured data tables.