Evidence map›Paper›PMID 42327621›Full record

ArticleJAMIA open2026

Early experience with a patient-facing AI chatbot integrated in a patient portal.

Ming Tai-Seale, Marlene Millen, Florin Vaida, Courtney Barbato, Joseph Diaz, Amanda Walker, Karandeep Singh, Amy Sitapati, Dean Pham, Allen Tran and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 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

19 authors.

Ming Tai-SealeUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Marlene MillenUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Florin VaidaUniversity of California San Diego Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, CA, United States.
Courtney BarbatoUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Joseph DiazUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Amanda WalkerUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Karandeep SinghUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Amy SitapatiUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Dean PhamUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Allen TranUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Kyle Ficklin-BadaloniUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Crystal SobergUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Laurel DangUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Ammar MandviUniversity of California San Diego School of Medicine, La Jolla, CA, United States.
Ross GrahamDepartment of Sociology, University of California San Diego, San Diego, CA, United States.
Andrew TangEpic System Corporation, Verona, WI, United States.
Noah AllenEpic System Corporation, Verona, WI, United States.
Taylor SealeEpic System Corporation, Verona, WI, United States.
Christopher A LonghurstUniversity of California San Diego School of Medicine, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and significance: Many patients struggle to interpret lab and test results. Objective: To evaluate patient experience, usability, and intention to reuse an AI assistant integrated into a patient portal's test results interface, aimed at enhancing patient comprehension of laboratory and diagnostic findings. Methods: A cross-sectional study with 131 adults using a non-production portal instance. Participants accessed their lab results via the embedded AI assistant and completed a post-use survey. Outcomes included System Usability Scale (SUS), reuse intention (5-point Likert), and Net Promoter Score (NPS). Multivariable regression examined associations of outcomes with patient characteristics. Results: Mean SUS was 81.0 ( Conclusions: A secure, portal-integrated AI assistant showed strong usability and satisfaction, particularly among patients with greater comorbidity.

Indexed as

Clinical informaticslarge language modelpatient experiencepatient portalstest results

Identifiers

PMID42327621
PMCPMC13282707

What OpenQuestion holds

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Registered trials

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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.