Evidence map›Paper›PMID 41122425›Full record

ArticleDigital health

Perceptions and insights: A qualitative assessment of an AI-assisted psychiatric triage system implemented in an outpatient hospital setting.

Oleksandr Knyahnytskyi, Jazmin Eadie, Kimia Asadpour, Callum Stephenson, Megan Yang, Taras Reshetukha, Christina Moi, Tricia Barrett, Meghanne Hicks, Gilmar Gutierrez-Nunez and 10 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Oleksandr KnyahnytskyiDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.ORCID https://orcid.org/0000-0001-7845-4385
Jazmin EadieDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Kimia AsadpourDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.ORCID https://orcid.org/0009-0001-0744-0418
Callum StephensonDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.ORCID https://orcid.org/0000-0002-7929-1546
Megan YangDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Taras ReshetukhaDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Christina MoiDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Tricia BarrettKingston Health Sciences Centre, Kingston, Canada.ORCID https://orcid.org/0009-0004-6001-0267
Meghanne HicksDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Gilmar Gutierrez-NunezDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.ORCID https://orcid.org/0000-0003-0337-3737
Anchan KumarDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Jasleen JagayatDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Saad SajidDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Charmy PatelDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Christina HolmesDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Amir ShiraziOPTT Health, Toronto, Canada.
Vedat VerterSmith School of Business, Queen's University, Kingston, Canada.ORCID https://orcid.org/0000-0002-4628-9618
Claudio SoaresDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.ORCID https://orcid.org/0000-0001-7056-7174
Mohsen OmraniDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.
Nazanin AlaviDepartment of Psychiatry, Faculty of Health Sciences, Queen's University, Kingston, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Canadian healthcare system is approaching a breaking point. With mental health being a leading cause of disability, innovative solutions are necessary to provide adequate care. Digital mental health programs, such as electronic cognitive behavioral therapy, have proven effective in reducing the challenges of traditional psychotherapy, such as long waitlists, stigma, geographic barriers, and time constraints. Furthermore, artificial intelligence (AI) has shown potential utility within the healthcare system, particularly in treatment recommendations and improving patient engagement. Despite the benefits that AI and digital mental health programs provide, they are rarely implemented in real-world healthcare settings. Objective: This study aims to explore patient experiences and perceptions of an AI-assisted triage system paired with a digital psychotherapy program. The objective is to highlight the potential modifiable barriers to implementing these digital systems in real-world healthcare settings. Methods: Forty-five adult outpatient psychiatry patients ( Results: Thematic analysis revealed three major themes for clients' perceptions of the AI-assisted triage system: (1) AI as a replacement, (2) the utility of AI, and (3) AI complexity recognition. For the digital psychotherapy program, the themes were: (1) interactions with technology, (2) online therapy program structure, and (3) differential user experience. Conclusion: Participants highlighted the importance of human oversight to ensure accuracy and liked that the AI allowed them to access care faster. Suggestions for improving the digital psychotherapy program included enhancing user-friendliness, increasing human contact, and making it more accessible for neurodivergent individuals.

Indexed as

artificial intelligencecognitive behavioral therapymental healthOnline cognitive behavioral therapyperceptions and experiencespsychiatrypsychotherapyqualitative

Identifiers

PMID41122425
PMCPMC12536140

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.