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Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Act...

Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Act...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af729e3e51e8493e8c6714314049f008

Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Activities: Design and Qualitative Evaluation of a Prototype

About this item

Full title

Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Activities: Design and Qualitative Evaluation of a Prototype

Publisher

Canada: JMIR Publications

Journal title

JMIR mental health, 2021-11, Vol.8 (11), p.e25455-e25455

Language

English

Formats

Publication information

Publisher

Canada: JMIR Publications

More information

Scope and Contents

Contents

Previous studies have suggested that social media data, along with machine learning algorithms, can be used to generate computational mental health insights. These computational insights have the potential to support clinician-patient communication during psychotherapy consultations. However, how clinicians perceive and envision using computational...

Alternative Titles

Full title

Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Activities: Design and Qualitative Evaluation of a Prototype

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_af729e3e51e8493e8c6714314049f008

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af729e3e51e8493e8c6714314049f008

Other Identifiers

ISSN

2368-7959

E-ISSN

2368-7959

DOI

10.2196/25455

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