This is the question at the heart of the brewing debate about whether medical devices should be subject to placebo trials-to better determine whether new products are not just safe but also accurate and effective. When it comes to patient safety, taking a company’s word for the accuracy of their product is sometimes all providers can go on-especially when it comes to medtech. Our perspective: Balancing regulation and meeting an urgent need can be challenging The developers of these platforms don’t disclose performance metrics or allow outside researchers to access and evaluate the models. In the case of companies like Nuance, this proves to be a challenge. The question, then, is how to regulate the use of this technology when there’s so much at stake in its accuracy. And providers and hospital systems will be the ones responsible if things go wrong Any mistake in medical documentation can have dangerous consequence on patient care-from mix-ups in medical billing to the prescription of incorrect medications. Experts told STAT that-from their experience-Nuance’s technology still sometimes struggles to get it right without human help. These bits of information are key to the accuracy of visit notes. A study has found that AI-powered medical scribes are still missing the “mhms” and other non-lexical conversation sounds in their transcriptions of conversations. Microsoft and Nuance’s announcement of their accelerated timeline toward entirely-AI-transcribes visit notes comes on the heels of less optimistic news about AI medical scribes. “There are things that still need to be put into place to get us closer to the reality of what maybe the promotional videos infer - that this is AI doing a lot of the work and then a human giving feedback and editing the draft - but we’re not there yet,” said Haberle. Namely, the lack of many guardrails to ensure accuracy and little independent oversight. However, there are concerns about the quick implementation of this technology in clinical care. “AI is not going to go to medical school or change jobs or break their ankle skiing and need a leave of absence,” said Tyler Haberle, associate chief health information officer at Intermountain Healthcare, a health system using DAX. Plus, the software enables providers to rely less on the scribing industry, which is riddled with worries over a lack of regulation, high turnover, and potential exploitation of underpaid workers. Since starting to use DAX, Hal Baker, chief digital and chief information officer at WellSpan Health reported that he has “had a couple of office managers say, ‘Dr. AI transcription makes patient visit notes take up less time in a provider’s already packed schedule. In an interview with STAT, physician assistant and Nuance consultant said: “We have a saying here at Nuance that we want to ‘turn the chair around,’”įor many providers already using the Nuance product, the patient interactions are just the start of how their work lives have improved. The potential benefits of using AI transcription for patient encounter notes are a no-brainer: Providers can spend more time connecting with patients when they don't have to be staring at a screen. Let’s dive into the upsides and critiques of this fast-developing application of medical AI.ĪI medical scribes can help providers be more present with patients Nuance claims DAX Express can return full AI-generated visit notes within minutes. This summer, all providers using Nuance’s DAX or Dragon Medical One transcription tool will be eligible to apply to be early adopters of Dax Express-the GPT-4 enabled product which bypasses the use of a human reviewer for quality control. Now, it’s integrating GPT-4 into the platform, which is already used by hospitals around the country to transcribe patient-provider conversations. About a year ago, Microsoft acquired AI-enabled medical scribe company Nuance Communications for $19 billion.
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