Human-In-The-Loop Machine Learning
Human-In-The- Loop Machine Learning for Safer, More Accurate Clinical Documentation
Accuracy and Compliance
Our HITL/ML approach prioritizes patient care by allowing physicians to focus entirely on their patients while our certified auditors and coders verify the documentation accuracy.
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Potential audit exposure can be reduced due to improved documentation, accuracy, and reliability by certified US Coders and Auditors unlike fully automated medical documentation, which often requires physicians to find any AI errors or hallucinations.
The Burden of “Real-Time” Documentation
Real-time note generation can force physicians to spend additional time correcting AI-generated errors, which detracts from patient interaction and adds to their workload.
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Some AI Scribes generate SOAP notes, but the automated medical coding may not be correct, forcing the physician and biller to review the note and determine what is appropriate.
Safety and Reliability
Real-time note generation can force physicians to spend additional time correcting AI-generated errors, which detracts from patient interaction and adds to their workload.
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Some AI Scribes generate SOAP notes, but the automated medical coding may not be correct, forcing the physician and biller to review the note and determine what is appropriate.
