Taxo integrates with electronic health records (EHRs) to automate medical billing and coding. Its AI-powered solution reduces the time and cost of claims processing by 90%, enabling providers to focus on patient care rather than administrative tasks.
Automated medical billing and coding
Title: Taxo: Automated medical billing and coding | Y Combinator

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### Automated medical billing and coding

Taxo integrates with electronic health records (EHRs) to automate medical billing and coding. Its AI-powered solution reduces the time and cost of claims processing by 90%, enabling providers to focus on patient care rather than administrative tasks.



Taxo

Founded:2024

Team Size:8

Location:San Francisco

### Active Founders

### Ahmed Kerwan, Founder

Physician-scientist with a research portfolio in surgery, AI, and hospital workflows (\>24,000 citations). Previously a Fulbright Scholar and Knox Fellow. Interested in autonomous healthcare.



### Hassan Tahir, Founder

Currently focused on implementing AI in healthcare. Background in building NLP powered products from research to production using state of the art ML architectures including LLMs from 2017 onwards. Author of published ML research in scientific journals.



### Company Launches

[### Taxo - Automated medical billing and coding](

**TL;DR**
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[Taxo]( integrates with electronic health records (EHRs) to automate medical billing and coding. Its AI-powered solution reduces the time and cost of claims processing by over 90%, enabling providers to focus on patient care rather than administrative tasks. Watch our demo [here](



**Why is this important?**
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In short, medical billing and coding allow healthcare providers to get paid for their services. However, the way it’s currently done is still largely manual and can take several hours per patient. In 2023, the U.S. healthcare system spent $4.8 trillion, with over 35% of costs attributed to administration, much of which stems from the need to manage vast amounts of unstructured and fragmented data. This situation results in healthcare professionals spending more time on paperwork than on patient care, which reduces service capacity, delays treatment, and drives up costs.



**Our solution**
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We are starting by focusing on prior authorization, which requires the provider to get an agreement from the payer to cover specific treatments or medications. This process currently requires manually going through hundreds—sometimes thousands—of records to extract evidence and prove ‘medical necessity’ to the payer. By leveraging AI, we’ve been able to reduce the amount of time it takes by 90%. Providers across the US invariably say this has been life-changing for them!



**Moving forward**
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Prior authorizations are just the beginning. We’ve already started working with our providers to build for other aspects of the medical billing and coding process: claim denials, insurance verification, patient letters etc. We believe humans in healthcare should focus on what they do best, caring for patients, and let AI handle the rest.

**Our ask**
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Medical billing and coding are relevant in all sorts of places. If you know decision-makers in any of these organisations, we’d be super grateful for an introduction! Email us at [founders@taxo.ai](mailto:founders@taxo.ai)

1.  Hospitals
2.  Physician offices
3.  Nursing homes
4.  Outpatient facilities
5.  Billing companies
6.  Home healthcare services
7.  Durable medical goods providers
8.  Practice management companies
9.  Federal and state government agencies
10.  Commercial payers

And tell them not to worry about hallucinations. All our output is referenced and directly links back to the original patient records!



**Team**
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[Ahmed Kerwan]( a practicing physician, experienced firsthand the immense burden of paperwork that detracted from his ability to provide care. Determined to find a solution, he pursued a fellowship at Harvard to explore the intersection of AI and healthcare. He then partnered with [Hassan Tahir]( a leading deep-learning engineer specializing in state-of-the-art transformer models. Together, they created Taxo, a platform that has already enabled dozens of providers to process thousands of patient cases more quickly and cost-effectively.


