Modeling Therapeutic Alliance in the Age of Telepsychiatry

Jihan Ryu; David C Banthin; Xiaosi Gu

doi:10.1016/j.tics.2020.10.001

Modeling Therapeutic Alliance in the Age of Telepsychiatry

Trends Cogn Sci. 2021 Jan;25(1):5-8. doi: 10.1016/j.tics.2020.10.001. Epub 2020 Oct 28.

Authors

Jihan Ryu¹, David C Banthin¹, Xiaosi Gu²

Affiliations

¹ Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mount Sinai Morningside and West Hospitals, New York, NY, USA.
² Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: xiaosi.gu@mssm.edu.

PMID: 33129720
DOI: 10.1016/j.tics.2020.10.001

Abstract

Increasingly, online platforms are being used to deliver psychotherapy. This, along with the growth in computational psychiatry, provides scientists with new opportunities to quantify how patient-therapist relationships relate to treatment outcomes. We argue that it is necessary to investigate markers and mechanisms that enable successful psychotherapy, and the establishment of therapeutic alliance in particular, using computational tools.

Keywords: computational linguistics; computational psychiatry; machine learning; psychotherapy; social neuroscience; therapeutic alliance.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Humans
Professional-Patient Relations
Psychiatry*
Psychotherapy
Therapeutic Alliance*
Treatment Outcome