Standardized Notes Cut Resident Documentation Time by Nearly 19 Minutes Per Visit

Electronic health records were promised as a revolution in medicine, but for many physicians they have become the most hated part of the job. Now a study from the Icahn School of Medicine at Mount Sinai, published in the Journal of General Internal Medicine, offers some of the most concrete evidence yet that a surprisingly low-tech fix—standardizing how doctors write their notes—can claw back a substantial chunk of the time the software consumes. The research, led by Eric Kutscher and colleagues in the Division of General Internal Medicine, found that internal medicine residents saved nearly nineteen minutes of documentation time per outpatient appointment after their clinic adopted standardized documentation templates and medication ordering practices.

The scale of the problem the study addresses is hard to overstate. Documentation in the electronic health record is frequently cited as a primary driver of physician burnout, a phenomenon that has worsened across the American medical workforce in recent years. National surveys have tracked rising burnout and declining satisfaction with work-life integration among physicians compared with the general working population, and health services researchers have estimated the enormous expenditures attributable to burnout-related turnover in primary care. Burnout is not merely a matter of professional misery; systematic reviews have linked it to degraded quality and safety of care, and studies of electronic health record use have connected heavy documentation loads to clinician stress, reduced productivity, and even physician turnover.

Residents occupy a particularly exposed position in this landscape. These are physicians in post-graduate training, typically in their second or third year of residency when working in continuity clinics, and they must learn to navigate the electronic health record while simultaneously learning medicine itself. Prior research has shown that physicians receive little formal training in efficient record use, that there is enormous variability in how individual clinicians document, and that this variation carries potential consequences for patient harm. Earlier studies have also documented the phenomenon known as note bloat—the progressive swelling of clinical notes with copied text, redundant information, and boilerplate that obscures the signal a busy clinician actually needs.

The Mount Sinai team designed their study to test whether standardization could attack these problems directly. They compared fifty-two second-year and fifty-five third-year internal medicine residents who practiced under the new standardized system with historical control groups of fifty-five second-year and forty-nine third-year residents who had worked in the same urban academic clinic before the change. The intervention itself had three components: standardized documentation templates, standardized medication ordering practices, and mandatory training on how to use them, supplemented by incentivized opportunities for residents to practice the new documentation methods. The design was a pre-post difference-in-differences evaluation, a quasi-experimental approach that compares changes over time in the intervention group against changes in the control group, helping to separate the effect of the intervention from broader trends in documentation behavior.

What makes the study technically interesting is that the researchers did not rely on self-reported time savings, which are notoriously unreliable. Instead, they mined objective electronic health record efficiency metrics, measuring the time residents spent per appointment on chart review, note writing, and placing orders. They also measured the length of notes in characters and, critically, tracked the number of characters of text copied from prior notes and pasted into current notes—a direct window into how much of each note was genuinely new clinical thinking versus recycled text. These granular behavioral metrics, increasingly available through vendor analytics platforms, allow researchers to dissect exactly where documentation time goes and how interventions change clinician behavior at the keystroke level.

The results were striking. The intervention was associated with an 18.8-minute decrease in per-encounter documentation time for residents during their second post-graduate year and a 12.0-minute decrease during their third year, both statistically significant at p less than 0.0001. To put that in perspective, a resident seeing a full panel of patients in an afternoon clinic could recover well over an hour of previously lost time each session. Note length collapsed as well: second-year residents produced notes shorter by 3,650 characters, a 43.3 percent reduction, while third-year residents trimmed 1,608 characters, or 17.7 percent. Perhaps most telling was the fate of copy-paste text, the hallmark of note bloat, which fell by 66.7 percent among second-year residents and 74.6 percent among third-year residents.

The pattern across training years is itself informative. Second-year residents, who were encountering the standardized system as relatively fresh users of the outpatient record, showed larger absolute and relative improvements than third-year residents, who had already spent a year forming documentation habits under the old system. This is consistent with what learning scientists have long described about skill acquisition: early habits are more malleable, and interventions that shape practice from the start of a training stage may have an easier time than those asking experienced users to unlearn entrenched workflows. It suggests that residency programs considering similar reforms may get the biggest returns by introducing standardization at the moment residents first begin outpatient continuity work.

The well-being findings, however, are a cautionary coda. The researchers administered the Mini-Z survey, a validated instrument for assessing worklife and burnout in medical settings, before and after the intervention. Among the forty-two residents who completed the pre-intervention survey and the twenty-eight who completed the post-intervention survey, there were no significant changes in overall Mini-Z scores. There was one encouraging signal: a single-item burnout question improved from 3.2 before the intervention to 3.7 afterward, a statistically significant shift on a scale where the direction of improvement reflects lower burnout. But the authors are candid about the limitation—response rates to the well-being questions were low, and the analysis was underpowered to detect anything but large effects. Efficiency, in other words, demonstrably improved; whether that efficiency translated into residents feeling better about their work remains an open question.

This ambiguity matters because the relationship between documentation time and burnout is not a simple one-to-one pipeline. Prior studies have found associations between electronic health record design and use factors and clinician stress, and between after-hours record time and turnover intentions, but burnout is a multidimensional phenomenon shaped by workload, autonomy, meaning in work, and organizational culture. Freeing up nineteen minutes per visit may reduce one specific stressor without moving global well-being scores, especially over the relatively short window of a pre-post study. It is also possible that the residents who felt most burdened were the least likely to complete the follow-up survey, biasing the results in either direction. The study was deemed quality improvement by the Mount Sinai Department of Medicine Quality Improvement Committee and exempted from informed consent, reflecting its operational rather than experimental framing.

The findings arrive at a moment when the field is wrestling with how to reduce documentation burden at scale. Ambient artificial intelligence scribes, which listen to clinical encounters and draft notes automatically, have shown promising effects on documentation time in recent studies across primary care and emergency settings, and systematic reviews of artificial intelligence tools for clinical documentation are accumulating rapidly. But such technologies are expensive, raise new questions about accuracy and oversight, and remain unevenly deployed. The Mount Sinai study is a useful counterweight: a structured, low-cost intervention of templates, ordering standards, and training—implemented within an existing commercial record system—produced large, objectively measured efficiency gains without waiting for artificial intelligence to mature. For residency programs and clinics confronting documentation overload today, the message is that a meaningful share of the burden is not inherent to the software but to how it is used, and that how it is used can be taught, standardized, and measured.

Subject of Research: Effect of standardized outpatient electronic health record documentation on internal medicine resident efficiency and well-being

Article Title: The Impact of Outpatient Documentation Standardization on Internal Medicine Resident Efficiency and Well-Being

Article References: Kutscher, E., Halket, D., Feinberg, A., Blum, C., Koransky, A., Tamler, R., Federman, A., & Fishman, M. (2026). The Impact of Outpatient Documentation Standardization on Internal Medicine Resident Efficiency and Well-Being. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10858-w

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10858-w

Keywords: electronic health records, documentation burden, physician burnout, internal medicine residency, note templates, clinical efficiency, copy-paste text, Mini-Z survey, graduate medical education, difference-in-differences, ambulatory care, well-being