Reviewing clinical documentation to assign the correct procedure, diagnosis, and supply codes.
Monitoring claim lifecycle to alert providers to anomalous patterns impacting charge creation.
Collecting medical insurance information from patients to ensure accurate claim submission.
Providing actionable recommendations to mitigate denials and improve documentation.
Appealing denials from insurance carriers to help providers and patients get claims reimbursed.
Providing patients with an intelligent concierge to guide them through the medical billing process.
Our products are live, our datasets are massive, and we’re moving healthcare forward.
We are looking for exceptional Product Managers to join our fast-growing team, building machine learning products that make our healthcare system more efficient. As a Product Manager, you will get the opportunity to solve problems across the spectrum of startup challenges from Product Development to Business Intelligence to Business Development. The ideal candidate is passionate about solving problems with machine learning while being deeply excited to wear multiple hats in a fast-paced, startup environment.Learn More
We’re searching for machine learning engineers to develop scalable algorithms and tools that transform the medical billing process for both patients and providers. From day one you will design and build customized, end-to-end NLP machine learning systems, applying cutting-edge research techniques to massive amounts of healthcare data. The ideal candidate will have experience developing both software applications and a range of machine learning models with a strong desire to participate in cutting edge research in machine learning applications.Learn More
We are looking for exceptional Data Scientists to help turn data into information, information into insight and insight into business decisions. As a Data Scientist you will work on existing and greenfield projects, investigating large, complicated data sets to uncover valuable new insights. The ideal candidate is data obsessed and enjoys breaking down complex systems and making sense of large, messy, unstructured data.Learn More
"I would recommend Onehot’s solutions to anyone serious about impacting their revenue cycle and readying themselves for the future."
"While most startups focus on gathering and manually labeling data, we stepped right into processing millions of human-labeled medical records and building machine learning algorithms on top of that."
"We have a little gold mine of unsolved real-world problems that are perfect use cases for machine learning and other cutting-edge technologies."