Mostrar el registro sencillo del ítem
dc.contributor.author
Atzil Slonim, Dana
dc.contributor.author
Gómez Penedo, Juan Martín
dc.contributor.author
Lutz, Wolfgang
dc.date.available
2024-05-13T14:00:10Z
dc.date.issued
2023-09
dc.identifier.citation
Atzil Slonim, Dana; Gómez Penedo, Juan Martín; Lutz, Wolfgang; Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research; Springer; Administration and Policy in Mental Health and Mental Health Services Research; 51; 3; 9-2023; 306-317
dc.identifier.issn
1573-3289
dc.identifier.uri
http://hdl.handle.net/11336/235262
dc.description.abstract
Mental health services are experiencing notable transformations as innovative technologies and artificial intelligence (AI)are increasingly utilized in a growing number of studies and services.These cutting-edge technologies carry the promise of substantial improvements in the field of mental health. Never-theless, questions emerge about the alignment of novel technologies and AI systems with human needs, especially in thecontext of vulnerable populations receiving mental healthcare. The practice-oriented research (POR) model is pivotalin seamlessly integrating these emerging technologies into clinical research and practice. It underscores the importanceof tight collaboration between clinicians and researchers, all driven by the central goal of ensuring and elevating clientwell-being. This paper focuses on how novel technologies can enhance the POR model and highlights its pivotal role inintegrating these technologies into clinical research and practice. We discuss two key phases: pre-treatment, and duringtreatment. For each phase, we describe the challenges, present the major technological innovations, describe recent studiesexemplifying technology use, and suggest future directions. Ethical concerns and the importance of aligning humans andtechnology are also considered, in addition to implications for practice and training.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
psychotherapy
dc.subject
machine learning
dc.subject.classification
Otras Psicología
dc.subject.classification
Psicología
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-05-13T10:34:18Z
dc.journal.volume
51
dc.journal.number
3
dc.journal.pagination
306-317
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Atzil Slonim, Dana. Bar-ilan University; Israel
dc.description.fil
Fil: Gómez Penedo, Juan Martín. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Lutz, Wolfgang. University of Trier; Alemania
dc.journal.title
Administration and Policy in Mental Health and Mental Health Services Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10488-023-01309-3
Archivos asociados