Tag: ambient ai

Stress Testing Ambient AI Scribes

Posted on by Jason Barry

Providers are lining up to see if ambient AI can live up to its promise of decreasing burnout while improving the patient experience… and researchers are starting to wonder the same thing.

A new study in JAMA Network Open investigated whether ambient AI scribes actually decrease clinical note burden, following 46 clinicians at the University of Pennsylvania Health System as they used Nuance’s DAX Copilot AI ambient scribe from July to August 2024.

  • Researchers combined EHR data with a clinician survey to determine both quantitatively and qualitatively whether ambient scribes actually make a positive impact.

Here’s what they found. Over the course of the study, ambient scribe use was associated with:

  • 20.4% less time in notes per appointment (from 10.3 to 8.2 minutes)
  • 9.3% greater same-day appointment closure (from 66.2% to 72.4%)
  • 30.0% less after-hours work time per workday (from 50.6 to 35.4 minutes)

It’s tough to argue with the data. Ambient scribing definitely moves the needle on several important metrics, and even the less clear-cut stats still had a positive spin to them.

  • Note length was 20.6% greater with scribing (from 203k to 244k characters/wk)
  • However, the percentage of documentation that was typed by clinicians was 29.6% lower compared to baseline (from 11.2% to 7.9%)

The qualitative feedback told a different story. Even though clinicians reported feeling more engaged during patient conversations, “the need for substantial editing and proofreading of the AI-generated notes, which sometimes offset the time saved” was a recurring theme in the open-ended comments.

Ambient AI received a net promoter score of 0 on a scale of -100 to 100, meaning the clinicians were as likely to not recommend it as they were to recommend it.

  • 13 clinicians would recommend ambient AI to others, 13 wouldn’t recommend it, and 11 didn’t feel strongly either way.

The mixed reviews could mean that the ambient scribe performed better/worse for different users, but it could also mean that some clinicians were more diligent at checking the output.

The Takeaway

The evidence in favor of ambient AI scribes continues to pile up – even if the pajama-time reductions in this study didn’t live up to the promise on the box. Big technology shifts also come with adjustment periods, and this invited commentary did a great job highlighting the “real risk of automation bias” that comes with ambient AI, as well as the liability risk of missing its errors.

Abridge Lands $250M and Debuts Contextual Reasoning Engine

Posted on by Jason Barry

One of the top stories to come out of last week’s ViVE conference was Abridge closing $250M in Series D funding, yet that somehow wasn’t even the biggest news in the announcement.

On top of raising a nine-figure round at a $2.5B valuation, Abridge hit the 100 health system milestone after adding to a string of recent deployments at organizations like Mayo Clinic and Johns Hopkins.

  • Newly announced systems included Akron Children’s, Endeavor Health, Inova, Memorial Sloan Kettering Cancer Center, and Oak Street Health.

The real headliner was the debut of Abridge’s new Contextual Reasoning Engine, “an AI architecture that produces more clinically useful and billable notes at the point of care.”

The Contextual Reasoning Engine bolsters Abridge’s generative AI platform for clinical conversations with:

  • Contextual awareness – integrates data from retrospective patient encounters, health system-specific revenue cycle guidelines, and clinician documentation preferences to create more comprehensive notes. 
  • Problem detection – recognizes and groups medical problems, describing them with language that aligns with appropriate billing codes.
  • Actionable outputs – captures medical orders and integrates them into the EHR for clinician review.

Ambient scribing has been one of the hottest segments in digital health, helping clinicians spend more face-time with patients and less pajama time on administrative tasks.

  • That’s led to rapid adoption from providers, but it’s also caused plenty of vendors with core competencies outside of scribing to bolt the functionality onto their feature sets.
  • As a result, ambient AI startups are moving beyond clinical documentation to differentiate themselves with new use cases like coding or clinical decision support – and Abridge’s Contextual Reasoning Engine is only just the beginning.

The Takeaway

The ambient AI market is at an inflection point, and companies like Abridge are quickly raising capital and pouring it straight into R&D to own the workflows downstream from documentation. It’s a race to outrun commoditization and reach distribution before incumbents can catch up, and Abridge now has another $250M to help pick up the pace.

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