AI scribe technology has taken off fast in healthcare. More than 80% of doctors already use these tools, which generated $600 million in sales last year. Analysts expect the U.S. medical scribe market to hit $3 billion by 2033.
But what’s the actual return on investment? A new study across five major academic medical centers provides some answers. Researchers found modest reductions in electronic health record time and documentation work, plus a small but meaningful bump in weekly patient visits.
Key findings
The study examined over 8,500 doctors across Mass General Brigham, Emory Healthcare, UC-San Francisco, UC-Davis and Yale New Haven Health. Around 1,800 used AI scribes from various vendors. Here’s what researchers discovered:
- AI scribe users spent 13 minutes less total time in EHR systems per eight-hour shift
- They spent 16 minutes less on documentation during the same period
- Weekly patient visit volume increased by 1.7%
- This translated to an extra $167 monthly revenue per doctor from evaluation and management visits
- Heavy users (50% or more of the time) saw double the EHR time reduction and triple the documentation time savings
Certain groups benefited more, including female doctors, advanced practice providers, residents, and primary care and medical specialists.
Why does it matter?
This is the first large-scale, multi-hospital study to put hard numbers on AI scribe benefits. Previous research looked at single institutions, which could reflect local implementation quirks rather than broader patterns.
The financial gains are modest but real. An extra $167 monthly per doctor adds up across large health systems. More importantly, the time savings could help address physician burnout – a major problem when many doctors spend more time on computers than with patients.
The study’s conservative approach to measuring benefits suggests the real returns could be higher. None of the hospitals required doctors to see more patients to get AI scribes, so the visit increases happened naturally.
The context
AI scribes represent one of healthcare’s fastest technology adoptions ever. These tools listen to patient conversations and automatically generate clinical notes, reducing the documentation burden that many doctors cite as a major source of job dissatisfaction.
The technology addresses a real problem. Studies show doctors spend up to two hours on administrative work for every hour of patient care. This has contributed to widespread burnout and early retirement.
However, experts note a challenge ahead. While researchers have gotten good at measuring time and money savings, they struggle to assess AI’s impact on patient experience, health outcomes, and equity – core healthcare priorities.
As Kaiser Permanente researchers noted in a commentary on the study, “If ambient AI is becoming a default component of healthcare delivery, evaluation objectives must evolve accordingly.”
The research appears in JAMA, with the commentary here.