Technologies for reducing documentation burden
The latest innovations can help you reclaim valuable time, but there are a few factors to consider.
Imagine not just reducing documentation burden, but eliminating it altogether. We're not there yet, but recent technological leaps and bounds hint at the tantalizing possibility. Choosing a medical documentation solution that's right for you comes down to personal preference, but it’s also about weighing the costs in money upfront and time spent using the system daily, plus any possible risks.
Medical scribes
Cost: $2,500-$4,500 per month
Medical scribes essentially serve as personal assistants to physicians, shadowing them, documenting visit notes and performing other administrative tasks. Medical scribes can increase efficiency, but they are hard to scale and may be too costly for private practices or individual health care professionals. They also may have limited medical backgrounds, and non-physician providers working with sensitive data can put physicians at risk of malpractice.
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Virtual scribes
Cost: $1,000-$1,200 per month
Virtual scribes and transcriptionists are less intrusive because there’s no third party in the exam room, but their usefulness is hampered by costs, note turnaround times, offshore data transmission and security risks.
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Medical speech recognition
Enterprise: $25-$75 per month
Single physician: $200 per month
Medical speech recognition (MSR) technology allows you to dictate your notes instead of typing. Dictation devices can help improve health outcomes and patient understanding of care plans, but they don’t fully relieve physicians of documentation burden due to the work they require to run at optimal levels.
Ambient speech recognition
Cost: $1,800 per month
Ambient speech recognition technology “listens” to a patient's and/or caregiver's conversations with the physician throughout the visit, including history and exam details, and works with an outside service to create a visit note.
AI assistants
Cost: $150-$200 per month
AI-powered, voice-enabled digital assistants can help physicians complete documentation and other administrative tasks. Although AI assistants still have room to develop, they are the only documentation solutions on the market that show promise in totally automating the EHR documentation process.
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AI vs. medical speech recognition: What's the difference?
Unlike AI, legacy MSR systems did not leverage deep learning needed to perform voice-to-text conversion or have natural language understanding. Although newer MSR solutions have progressed in these areas, AI assistants better understand natural language and can detect intent (i.e., commands from the user). Whereas voice recognition solutions require the user to specify where dictation should be placed in the EHR note, AI assistants’ built-in model of documentation recognizes embedded commands and knows where to place text. This ability enables the physician to generate a note without having to navigate or edit in the EHR.