The Digital Transformation of Mental Health Care and Psychotherapy – A Market and Research Maturity Analysis

Schmid, Alexander; Kurpicz-Briki, Mascha (20 May 2022). The Digital Transformation of Mental Health Care and Psychotherapy – A Market and Research Maturity Analysis In: Bürkle, Thomas; Denecke, Kerstin; Holm, Jürgen; Sariyar, Murat; Lehmann, Michael (eds.) Healthcare of the Future: Digital Health – From Vision to Best Practice! Studies in Health Technology and Informatics: Vol. 292 (pp. 63-68). Amsterdam, Netherlands: IOS Press 10.3233/SHTI220322

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Digital technology trends for mental health, instantiated with only emerging use cases or already established applications, offer significant potential to improve clinical therapy and care. In this paper, we identify five major trends, mHealth/eHealth, telehealth, artificial intelligence (AI), big data, and biosensors/wearables; describe seven specific technology use cases for mental health care and psychotherapy; and provide an overview of their maturity in practice.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS)
Business School > Institute for Digital Technology Management
School of Engineering and Computer Science

Name:

Schmid, Alexander;
Kurpicz-Briki, Mascha;
Bürkle, Thomas;
Denecke, Kerstin0000-0001-6691-396X;
Holm, Jürgen;
Sariyar, Murat and
Lehmann, Michael0000-0001-9161-5112

Subjects:

H Social Sciences > H Social Sciences (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)

ISSN:

1879-8365

ISBN:

978-1-64368-280-8

Series:

Studies in Health Technology and Informatics

Publisher:

IOS Press

Language:

English

Submitter:

Alexander Schmid

Date Deposited:

25 May 2022 09:48

Last Modified:

24 May 2023 21:46

Publisher DOI:

10.3233/SHTI220322

Related URLs:

PubMed ID:

35575850

Uncontrolled Keywords:

augmented intelligence, blended therapy, digital mental health, digital technology use cases, transformation, technology trends

ARBOR DOI:

10.24451/arbor.17008

URI:

https://arbor.bfh.ch/id/eprint/17008

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