國立虎尾科技大學 |

Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being // Lorin Singh.
Author:	Singh, Lorin,
Description:	1 electronic resource (355 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
Subject:	Mental health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31302212
ISBN:	9798382768786

Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being /
Singh, Lorin,

Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being /Lorin Singh. - 1 electronic resource (355 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

The development of an Artificial Intelligence (AI) human partnership Mental Health Application (MHApp) for Mental Health Workers (MHWs) aims to integrate AI technology with human expertise to enhance mental well-being. It addresses limitations in existing support systems, such as stigma and accessibility issues, drawing on the Job Demands-Resources (JD-R) model and Perceived Organizational Support (POS) theory. The program development plans to incorporate randomized controlled trials (RCTs) in its future evaluation strategy, aiming to contribute to evidence-based care and generate empirical evidence that underscores the app's effectiveness and ethical integrity. Designed to address these identified challenges, the AI-MHApp offers personalized support by marrying AI's analytical capabilities with the nuanced understanding and empathy of human mental health providers and evidence-based psychological practices. This merging is crucial to ensure valid digital mental health interventions, addressing ethical dilemmas posed by employing AI within this realm, and improving digital therapeutic alliance in clinical treatment to app users. It aims to mitigate job-related stress and enhance organizational support by providing features like self-assessment tools, training modules, and resources for mental health management. This feature is vital for mental health workers who might encounter obstacles in reaching conventional mental health services due to the strenuous demands of their profession or issues related to privacy. Interdisciplinary collaboration ensures a user-centered app that adapts to MHWs' needs. This underscores its ability to close the existing divide in providing mental health care. With its customized approach, the AI-human collaboration within the MHApp aims to notably boost the job satisfaction, mental resilience, and overall well-being of MHWs. These improvements, in turn, are expected to elevate the quality of care they deliver to their clients and diminish turnover within organizations.

English

ISBN: 9798382768786Subjects--Topical Terms:

564038
Mental health.
Subjects--Index Terms:

Burnout

Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being /
LDR:03555nam a22004333i 4500 001 1157809
005 20250603111419.5
006 m o d
007 cr|nu||||||||
008 250804s2024 miu||||||m |||||||eng d
020 $a 9798382768786
035 $a (MiAaPQD)AAI31302212
035 $a AAI31302212
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Singh, Lorin, $e author. $3 1484084
245 1 0 $a Revolutionizing Care: Developing an AI-Human Synergy Mental Health Application for Mental Health Worker's Well-Being / $c Lorin Singh.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (355 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
500 $a Advisors: Montes De Oca, Gloria Committee members: Donovan, Amy; Favero-Puckett, Domenica.
502 $b Psy.D. $c Capella University $d 2024.
520 $a The development of an Artificial Intelligence (AI) human partnership Mental Health Application (MHApp) for Mental Health Workers (MHWs) aims to integrate AI technology with human expertise to enhance mental well-being. It addresses limitations in existing support systems, such as stigma and accessibility issues, drawing on the Job Demands-Resources (JD-R) model and Perceived Organizational Support (POS) theory. The program development plans to incorporate randomized controlled trials (RCTs) in its future evaluation strategy, aiming to contribute to evidence-based care and generate empirical evidence that underscores the app's effectiveness and ethical integrity. Designed to address these identified challenges, the AI-MHApp offers personalized support by marrying AI's analytical capabilities with the nuanced understanding and empathy of human mental health providers and evidence-based psychological practices. This merging is crucial to ensure valid digital mental health interventions, addressing ethical dilemmas posed by employing AI within this realm, and improving digital therapeutic alliance in clinical treatment to app users. It aims to mitigate job-related stress and enhance organizational support by providing features like self-assessment tools, training modules, and resources for mental health management. This feature is vital for mental health workers who might encounter obstacles in reaching conventional mental health services due to the strenuous demands of their profession or issues related to privacy. Interdisciplinary collaboration ensures a user-centered app that adapts to MHWs' needs. This underscores its ability to close the existing divide in providing mental health care. With its customized approach, the AI-human collaboration within the MHApp aims to notably boost the job satisfaction, mental resilience, and overall well-being of MHWs. These improvements, in turn, are expected to elevate the quality of care they deliver to their clients and diminish turnover within organizations.
546 $a English
590 $a School code: 1351
650 4 $a Mental health. $3 564038
653 $a Burnout
653 $a Mental health workers
653 $a Well-being
653 $a Perceived Organizational Support
653 $a Ethical integrity
690 $a 0624
690 $a 0800
690 $a 0347
710 2 $a Capella University. $b School of Social and Behavioral Sciences. $3 1372828
720 1 $a Montes De Oca, Gloria $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-11B.
790 $a 1351
791 $a Psy.D.
792 $a 2024
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31302212