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  • Writer's pictureRYAN FERGUSON

Artificial Intelligence Competitions Highlight Advancements in Healthcare

Updated: Oct 20, 2023

The Centers for Medicare & Medicaid Services (CMS) hosted a three-stage Artificial Intelligence Health Outcomes Challenge (the Challenge) which began in 2019. Its goal was to accelerate artificial intelligence solutions to better predict health outcomes such as unplanned hospital and skilled nursing facility admissions and adverse events. The Challenge was the first prize competition operated by the CMS Innovation Center, and the Innovation Center’s first initiative focused on AI-driven health care solutions.

The Challenge provided an opportunity for innovators to demonstrate how artificial intelligence tools, such as deep learning and neural networks, can be used to predict unplanned hospital and skilled nursing facility admissions and adverse. The Challenge prioritized explainable artificial intelligence solutions to help front-line clinicians understand and trust artificial intelligence-driven data feedback to target scarce resources and improve the quality of care.

When discussing the Challenge CMS Acting Administrator Liz Richter said “Clinicians are eager to use the latest innovations to better help identify patients at risk, provide higher quality care, and improve health outcomes. The use of artificial intelligence has the potential to achieve these aims by providing important information to clinicians that may be helpful in providing higher quality care.”

Explainable AI can be expanded far beyond enhanced data analysis, however. By bringing AI into the exam room and introducing it at the point of care, all the data collected thereafter can be more thorough, more complete, and in turn – more accurate. AI is great, but it can only learn from what it is fed. By introducing a smart and capable AI solution at the point of care which reduces provider administrative burden and increases patient engagement and satisfaction you can optimize the health data captured from that encounter.

RemitOne™ works at the point of care as a front-end clean claims processing technology through voice-enabled Artificial Intelligence (AI) and Machine Learning (ML) technologies that not only capture the patient encounter but generate a structured medical record of the encounter and translate it into an electronic claim form that is submitted to the payor

Contact our team at to find out how you can utilize RemitOneTM in your practice today.

To see more about MCC and RemitOne, visit our documentary segment that aired on CNBC here:



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