Medbill AI
Tom Mitchell is a Founding Engineer at Medbill AI, where Tom built out the Python codebase from the ground up. Prior to this, Tom held various roles at Ravel, Oscar Health, Microsoft, and Canary Data Solutions, Ltd. Tom has experience in developing software, managing teams, and leading projects in the technology industry. Tom holds a Bachelor of Engineering in Software Engineering from The University of Auckland.
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Medbill AI
Medical bills are a huge problem. They are confusing, 40% of them contain errors, 17% of them are denied by insurance, and they can represent very large sums of money. As a result, 100 million Americans are saddled with healthcare debt, and medical bills cause nearly 70% of personal bankruptcies in the US. Dealing with unexpectedly high medical bills is time-consuming, complex, and stressful. Stuck between their providers, payers, and bill collectors, consumers too frequently have to make numerous phone calls, wait on hold, and even send paper letters and faxes. Thanks to AI and new healthcare regulations around data access and price transparency, we can now automate this soul-crushing work and empower consumers to fight back against this broken system. While our initial focus is on helping people once they’ve received a bill, we are ultimately committed to helping people through their entire healthcare journey as they look for care or change insurance plans.