Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interaction.

Primary care artificial intelligence depressive disorders out-patient treatment simulation centre

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
06 Jan 2021
Historique:
entrez: 6 1 2021
pubmed: 7 1 2021
medline: 7 1 2021
Statut: epublish

Résumé

Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction. Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression. Here, we explore the use of a simulation centre environment in evaluating the usability of Aifred, particularly its impact on the physician-patient interaction. Twenty psychiatry and family medicine attending staff and residents were recruited to complete a 2.5-h study at a clinical interaction simulation centre with standardised patients. Each physician had the option of using the CDSS to inform their treatment choice in three 10-min clinical scenarios with standardised patients portraying mild, moderate and severe episodes of major depression. Feasibility and acceptability data were collected through self-report questionnaires, scenario observations, interviews and standardised patient feedback. All 20 participants completed the study. Initial results indicate that the tool was acceptable to clinicians and feasible for use during clinical encounters. Clinicians indicated a willingness to use the tool in real clinical practice, a significant degree of trust in the system's predictions to assist with treatment selection, and reported that the tool helped increase patient understanding of and trust in treatment. The simulation environment allowed for the evaluation of the tool's impact on the physician-patient interaction. The simulation centre allowed for direct observations of clinician use and impact of the tool on the clinician-patient interaction before clinical studies. It may therefore offer a useful and important environment in the early testing of new technological tools. The present results will inform further tool development and clinician training materials.

Sections du résumé

BACKGROUND BACKGROUND
Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction.
AIMS OBJECTIVE
Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression. Here, we explore the use of a simulation centre environment in evaluating the usability of Aifred, particularly its impact on the physician-patient interaction.
METHOD METHODS
Twenty psychiatry and family medicine attending staff and residents were recruited to complete a 2.5-h study at a clinical interaction simulation centre with standardised patients. Each physician had the option of using the CDSS to inform their treatment choice in three 10-min clinical scenarios with standardised patients portraying mild, moderate and severe episodes of major depression. Feasibility and acceptability data were collected through self-report questionnaires, scenario observations, interviews and standardised patient feedback.
RESULTS RESULTS
All 20 participants completed the study. Initial results indicate that the tool was acceptable to clinicians and feasible for use during clinical encounters. Clinicians indicated a willingness to use the tool in real clinical practice, a significant degree of trust in the system's predictions to assist with treatment selection, and reported that the tool helped increase patient understanding of and trust in treatment. The simulation environment allowed for the evaluation of the tool's impact on the physician-patient interaction.
CONCLUSIONS CONCLUSIONS
The simulation centre allowed for direct observations of clinician use and impact of the tool on the clinician-patient interaction before clinical studies. It may therefore offer a useful and important environment in the early testing of new technological tools. The present results will inform further tool development and clinician training materials.

Identifiants

pubmed: 33403948
doi: 10.1192/bjo.2020.127
pii: S2056472420001271
pmc: PMC8058891
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e22

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Auteurs

David Benrimoh (D)

Department of Psychiatry, McGill University, Canada; Aifred Heath Inc., Montreal, Canada; and Faculty of Medicine, McGill University, Canada.

Myriam Tanguay-Sela (M)

Montreal Neurological Institute, McGill University, Canada; and Aifred Health Inc., Montreal, Canada.

Kelly Perlman (K)

Douglas Mental Health University Institute, Montreal, Canada; and Aifred Health Inc., Montreal, Canada.

Sonia Israel (S)

Aifred Health Inc., Montreal, Canada.

Joseph Mehltretter (J)

Department of Computer Science, University of Southern California, Los Angeles, USA; and Aifred Health Inc., Montreal, Canada.

Caitrin Armstrong (C)

School of Computer Science, McGill University, Canada; and Aifred Health Inc., Montreal, Canada.

Robert Fratila (R)

Aifred Health Inc., Montreal, Canada.

Sagar V Parikh (SV)

Department of Psychiatry, University of Michigan, USA.

Jordan F Karp (JF)

Department of Psychiatry, University of Pittsburgh, USA.

Katherine Heller (K)

Department of Statistical Science, Duke University, USA.

Ipsit V Vahia (IV)

Department of Psychiatry, McLean Hospital/Harvard University, USA.

Daniel M Blumberger (DM)

School of Psychiatry, University of Toronto, Canada.

Sherif Karama (S)

Department of Psychiatry, McGill University, Canada.

Simone N Vigod (SN)

Department of Psychiatry, University of Toronto, Canada.

Gail Myhr (G)

Department of Psychiatry, McGill University, Canada.

Ruben Martins (R)

Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada.

Colleen Rollins (C)

Department of Psychiatry, University of Cambridge, UK; and Aifred Health Inc., Montreal, Canada.

Christina Popescu (C)

Douglas Mental Health University Institute, Montreal, Canada; and Aifred Health Inc., Montreal, Canada.

Eryn Lundrigan (E)

Department of Anatomy and Cell Biology, McGill University, Canada.

Emily Snook (E)

Faculty of Medicine, University of Toronto, Canada.

Marina Wakid (M)

Douglas Mental Health University Institute, Montreal, Canada.

Jérôme Williams (J)

Faculty of Medicine, McGill University, Canada.

Ghassen Soufi (G)

Faculty of Medicine, McGill University, Canada.

Tamara Perez (T)

Department of Experimental Medicine, McGill University, Canada.

Jingla-Fri Tunteng (JF)

School of Physical and Occupational Therapy, McGill University, Canada.

Katherine Rosenfeld (K)

Department of Psychology, McGill University, Canada.

Marc Miresco (M)

Department of Psychiatry, McGill University, Canada.

Gustavo Turecki (G)

Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada.

Liliana Gomez Cardona (L)

Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada.

Outi Linnaranta (O)

Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada.

Howard C Margolese (HC)

Department of Psychiatry, McGill University, Canada.

Classifications MeSH