Evidence map›Paper›PMID 41468531›Full record

ArticleJMIR mental health2025

Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study.

Isabel B Weir, Austin M Stroud, Jeremiah J Stout, Barbara A Barry, Arjun P Athreya, William V Bobo, Richard R Sharp

Abstract read
In one paragraph

Article in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

7 authors.

Isabel B WeirBiomedical Ethics Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 507-538-6502.ORCID 0009-0003-8900-9772
Austin M StroudBiomedical Ethics Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 507-538-6502.ORCID 0000-0002-8695-9786
Jeremiah J StoutAlix School of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-1621-157X
Barbara A BarryRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-0755-6939
Arjun P AthreyaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-9764-1768
William V BoboDepartment of Behavioral Sciences & Social Medicine, College of Medicine, Florida State University, FL, United States.ORCID 0000-0002-5674-3079
Richard R SharpBiomedical Ethics Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, United States, 1 507-538-6502.ORCID 0000-0001-5441-2084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The therapeutic relationship is a professional partnership between clinicians and patients that supports open communication and clinical decision-making. This relationship is critical to the delivery of effective mental health care. The integration of artificial intelligence (AI) into mental health care has the potential to support accessibility and personalized care; however, little is known about how AI might affect the dynamics of the therapeutic relationship. Objective: This study aimed to ascertain how physicians anticipate AI tools will impact the therapeutic relationship in mental health care. Methods: We conducted 42 in-depth interviews with psychiatrists and family medicine practitioners to investigate physician perceptions regarding the impact of AI on mental health care. Results: Physicians identified several disruptions from AI use, noting that these tools could impact the dyad of the patient-physician relationship in ways that are both positive and negative. The main themes that emerged included potential disruptions to the therapeutic relationship, shifts in shared decision-making dynamics, and the importance of transparent AI use. Participants suggested that AI tools could create efficiencies that allow for relationship building as well as help avoid issues with miscommunication during psychotherapeutic interactions. However, they also expressed concerns that AI tools might not adequately capture aspects of the therapeutic relationship, such as empathy, that are vital to mental health care. Physicians also raised issues related to the impact that AI tools will have on maintaining relationships with patients. Conclusions: As AI applications become increasingly integrated into mental health care, it is crucial to assess how this integration may support or disrupt the therapeutic relationship. Physician acceptance of emerging AI tools may be highly dependent on how well the human elements of mental health care are preserved.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelMental Health ServicesPhysician-Patient RelationsPhysiciansAdultFemaleHumansMaleMiddle AgedPsychiatryQualitative ResearchAIartificial intelligencecommunicationfamily medicineinterviewsmental healthpatient-physician relationshipphysiciansproviderspsychiatryqualitativetherapeutic relationship

Identifiers

PMID41468531
PMCPMC12752914

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.