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Customizing workflows for electronic patient-reported outcome (ePRO) symptom monitoring using the action, actor, context, target, time (AACTT) framework

Datos Bibliográficos

ID15299687
AutoresJulia Lai‐kwon (0000-0002-5388-1695, autor de correspondencia), Claudia Rutherford (0000-0002-4637-4572, The University of Sydney), Michael Jefford (0000-0002-8792-7807, The University of Melbourne), Iris Zhang (0009-0003-3800-658X, Peter MacCallum Cancer Centre), Catherine Devereux (Peter MacCallum Cancer Centre), Dishan Herath (0000-0002-7509-5265, Peter MacCallum Cancer Centre), Kate Burbury (0000-0001-6710-681X, The University of Melbourne), Stephanie Best (0000-0002-1107-8976, Peter MacCallum Cancer Centre)
Año2025
Volumen34
Número8
Páginas2329-2343
Fecha de publicación2025-05-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaQuality of Life Research (JOURNAL)
Identificadores de la revistaISSN: 0962-9343 • E-ISSN: 1573-2649
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11136-025-03995-y
PMID40439819
OpenAlexW4410857969
IdiomaEN
Referencias citadas29

We demonstrated the value in using the AACTT to guide the co-design of a site-specific workflow for ePRO symptom monitoring. By describing this process in detail, we will enable others to replicate this process for creating site-specific workflows not only for ePRO symptom monitoring, but for any complex clinical process

Business · Context (archaeology · Database · Key (lock · Knowledge management · Process (computing · Process management · Stakeholder · Workflow · Cancer survivorship and care · Computer Science · Health Policy Implementation Science · Nursing Diagnosis and Documentation

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Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae