A New England Journal of Medicine (NEJM) article entitled “How a Virtual Scribe Program Improves Physicians’ EHR Experience, Documentation Time, and Note Quality” found that more than 4 out of 5 physicians who implemented virtual scribes saw a reduction in do
cumentation time and an increase in note quality. These same physicians saw a decrease in documentation time along with a decrease in total electronic health record (EHR) time.
While a medical scribe is a person who specializes in charting physician-patient encounters in real time, such as during medical examinations, the exploration of how to integrate and optimize a virtual scribe has grown over the past decade. A scribe is also a trained professional in health information management and the use of health information technology to support it.
In lieu of scribes, transcriptionists or transcription services are also used. Dictation-transcription software reflects further advancements in medical transcription, and many voice recognition tools can listen to a doctor’s summary of a patient visit and transcribe the dictation in real-time. These tools interface with provider EHR and auto-populate into their system. However, the turnaround time for medical documentation can take up to 72 hours when working with a transcriptionist or transcription service.
While they are timely and efficient, dictation-transcription tools still fall short of solving the problem with documentation. Given the advancement in artificial intelligence (AI) and natural language processing (NLP), there is a new market of AI-powered scribes responding to the challenges of clinical documentation. AI medical transcription uses AI and NLP to listen in on the natural patient-physician conversation, parse out the medically relevant information, and summarize that information into compliant notes that map back to the appropriate fields of an EHR.
Rather than transcribing word by word, AI transcription tools document medically relevant information, while removing small talk thus saving providers up to 3 hours daily. AI medical transcription empowers doctors to turn away from their computer and provide a personal and natural conversation with patients.
MCC’s RemitOne allows for complete and accurate documentation and coding to be handled automatically with built-in compliance utilizing AI and ML technologies. If you’re interested in reducing provider burden while increasing efficiencies and documentation accuracy, contact our team at info@mccremitone.com to find out how.
To see more about MCC and RemitOne, visit our documentary segment that aired on CNBC here: https://www.mccremitone.net/r1video/MCC_03.mp4.
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