Wang, YanAllsop, Matthew J.Epstein, Joel B.Howell, DorisRapoport, Bernardo LeonSchofield, PenelopeVan Sebille, YsabellaThong, Melissa S.Y.Walraven, IrisWolf, Julie RyanVan den Hurk, Corina J.G.2025-03-192025-03-192024-03Wang, Y., Allsop, M.J., Epstein, J.B. et al. Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels. Supportive Care in Cancer 32, 182 (2024). https://doi.org/10.1007/s00520-024-08373-x.0941-4355 (print)1433-7339 (online)10.1007/s00520-024-08373-xhttp://hdl.handle.net/2263/101602DATA AVAILABILITY : The data that support the findings of this study are available on request from the corresponding author.PURPOSE : This paper aims to provide a comprehensive understanding of the need for continued development of symptom monitoring (SM) implementation, utilization, and data usage at the macro-, meso-, and micro-levels. METHODS : Discussions from a patient-reported SM workshop at the MASCC/ISSO 2022 annual meeting were analyzed using a macro-meso-micro analytical framework of cancer care delivery. The workshop categories “initiation and implementation, barriers to adoption and utilization, and data usage” were integrated for each level. RESULTS : At the macro-level, policy development could encourage data sharing and international collaboration, including the exchange of SM methods, supportive care models, and self-management modules. At the meso-level, institutions should adjust clinical workflow and service delivery and promote a thorough technical and clinical integration of SM. At the micro-level, SM should be individualized, with timely feedback for patients, and should foster trust and understanding of AI decision support tools amongst clinicians to improve supportive care. CONCLUSIONS : The workshop reached a consensus among international experts on providing guidance on SM implementation, utilization, and (big) data usage pathways in cancer survivors across the cancer continuum and on macro-meso-micro levels.en© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. The original publication is available at : http://link.springer.com/journal/520.Symptom monitoringReal-world dataSupportive careSDG-03: Good health and well-beingPostprint Article