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 product managers to work closely with our engineers to guide products from conception to launch. You will help our team bridge the technical and business worlds as you design ML systems that help make paperwork invisible for providers and patients. The ideal candidate will have experience in a technical, data role such as engineering or product management and can break down complex problems into steps that drive product development.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
"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."