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're looking for full stack engineers to help develop scalable end to end machine learning systems that change the way medical billing is performed. You will get the chance to work on greenfield projects that bring modern technologies to an archaic industry in need of change by building tools that make our ML systems more efficient - from data ingestion interfaces to model serving APIs.Learn More
We’re searching for machine learning engineers to build scalable algorithms and tools that transform the medical billing process for both patients and providers. From day one, you will design and build cloud-based, end-to-end machine learning systems, applying cutting-edge research techniques to massive amounts of healthcare data. The ideal candidate will have experience developing enterprise software and building machine learning models.Learn More
We’re looking for data engineers to build internal products that make our machine learning more efficient—from data ingestion to real-time model serving. Our models will only be as good as the data fed into them. The ideal candidate will have experience developing data infrastructure and software tools with a strong desire to participate in building machine learning systems.Learn More
We’re looking for software engineers to build voice and text-based conversational interfaces that provide better ways for patients to interact with their medical providers and insurance companies. AI technology and tools today allow us to anticipate and respond to patient needs and proactively helping them resolve billing issues immediately. The ideal candidate will be an exceptional software engineer who has some experience building conversational interfaces, preferably using DialogFlow or Lex.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."