Evidence map›Paper›PMID 42576096›Full record

ReviewClinical rheumatology2026

Physician burnout in rheumatology: are medical scribes part of the solution?

Naomi Schlesinger, Dan Kaufmann, Mike Workman, Sonia L Sugg, Jacob Stever, Richard S Panush

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Naomi SchlesingerDivision of Rheumatology, Department of Internal Medicine, School of Medicine, University of Utah, Spencer Fox Eccles, Salt Lake City, UT, USA. Naomi.Schlesinger@hsc.utah.edu.ORCID http://orcid.org/0000-0002-1558-1202
Dan KaufmannDivision of Rheumatology, Department of Internal Medicine, School of Medicine, University of Utah, Spencer Fox Eccles, Salt Lake City, UT, USA.
Mike WorkmanDivision of Rheumatology, Department of Internal Medicine, School of Medicine, University of Utah, Spencer Fox Eccles, Salt Lake City, UT, USA.
Sonia L SuggDepartment of Surgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Jacob SteverDivision of Rheumatology, Department of Internal Medicine, School of Medicine, University of Utah, Spencer Fox Eccles, Salt Lake City, UT, USA.
Richard S PanushDivision of Rheumatology, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retention of highly qualified physicians remains a critical priority in rheumatology and the broader medical field due to persistent physician shortages in the United States. Addressing physician well-being and burnout is therefore essential. An optimal approach to addressing burnout in the United States and internationally involves reimagining and redesigning care delivery. Physicians currently spend nearly equal time on administrative tasks and on direct patient care. A central challenge is to identify strategies that sustain professional engagement, enable providers to spend meaningful time with patients, and foster an environment that prioritizes provider well-being. Ambient artificial intelligence (AI) scribes are increasingly adopted for clinical documentation. However, evidence regarding their impact on productivity remains limited. These technologies require significant financial investment, and to offset associated costs, physicians are often expected to increase clinical volume by seeing additional patients. Although AI scribes may reduce documentation burden, their ultimate value depends on integration with broader initiatives to redesign clinical workflows, protect physician time, and restore meaning to patient care. Significant usability challenges persist. AI offers both substantial opportunities and notable risks. Thoughtful implementation within electronic health records and clinical workflows, combined with ongoing research on the impact of burnout, is required.

Indexed as

Artificial intelligencePhysician burnoutRheumatology scribes

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.