Human-Generated Notes Outperform AI Scribes in Quality Study
That moment when you realize the AI scribe you’ve been leaning on to catch up on clinic notes might actually be making your work worse—it’s hitting home for a lot of us right here in Seattle. A study presented just yesterday at the American College of Physicians annual meeting found that human-generated clinical notes were consistently rated higher in quality and preference compared to those produced by ambient AI scribes. The research, led by Ashok Reddy, MD, MS—an associate professor of medicine at the University of Washington School of Medicine and a health services researcher with the Veterans Affairs Puget Sound Health Care System—cut straight to the frustration many of us feel after a long day: staring at a screen, trying to reconstruct patient encounters while fighting exhaustion.
What makes this finding particularly resonant in our corner of the Pacific Northwest is how deeply it ties into the ongoing transformation of healthcare delivery across the WWAMI region. For years, the UW School of Medicine has been at the forefront of innovating medical education and practice, especially in addressing the unique challenges of serving rural and underserved communities spread across Washington, Wyoming, Alaska, Montana, and Idaho. Now, as ambient AI tools get pitched as a solution to clinician burnout, this study reminds us that technology alone doesn’t fix systemic pressures—it can sometimes add new layers of cognitive load if not thoughtfully integrated. In a region where providers often cover vast distances between clinics, the last thing anyone needs is to spend extra time editing or correcting AI-generated notes that miss nuance or context.
This isn’t just about note-taking efficiency; it’s about preserving the integrity of the patient-provider relationship in settings where trust is already hard-won. Reckon about a community health worker in Yakima Valley trying to document a complex diabetes management plan, or a physician assistant in Bethel, Alaska, navigating cultural nuances during a telehealth visit—these are moments where human judgment in documentation isn’t just helpful, it’s essential. The study’s emphasis on human-generated notes as “higher-quality” speaks directly to the kind of clinical reasoning that AI still struggles to replicate: interpreting subtle cues, weighing psychosocial factors, and making judgment calls that don’t always fit neat algorithms.
Given my background in analyzing how healthcare innovations impact real-world practice, if this trend is making you rethink your documentation workflow in the Seattle area—or anywhere across the WWAMI network—here are three types of local professionals worth connecting with, each bringing a distinct kind of expertise to the table:
- Clinical Informatics Specialists: Look for those affiliated with institutions like UW Medicine or the VA Puget Sound who focus on optimizing electronic health record (EHR) usability. The best ones don’t just chase the latest tech—they ask how tools fit into actual clinician workflows, especially in high-volume or resource-constrained settings. Seek out professionals who’ve published on reducing cognitive load in primary care or have experience designing clinician-centered AI augmentation strategies.
- Health Services Researchers Focused on Primary Care Redesign: These experts, often found at the UW School of Medicine’s Department of Family Medicine or within Kaiser Permanente Washington Health Research Institute, study how care delivery models affect both provider well-being and patient outcomes. Prioritize those with recent work on team-based documentation, scribe programs (human or AI), or interventions aimed at reducing after-hours charting—what’s sometimes called “pajama time.”
- Medical Education Innovators at Academic Medical Centers: Especially relevant if you’re training residents or students, connect with faculty involved in the Foundations of Clinical Medicine (FCM) course or clinical skills training at UW. The ideal candidates understand how documentation habits form early and can help shape curricula that balance technological fluency with enduring clinical communication skills—critical for preparing the next generation to serve diverse communities from Spokane to Sitka.
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