Sep 2026· Asia-Pacific Journal of Oncology Nursing· Vol 13, pp. 101029· 0 citations· 39 references
Medicine
TL;DR
Key implementation elements of current digital symptom management platforms for breast cancer, such as system integration and response timeliness, remain insufficiently reported and future efforts should establish a standardized reporting framework and conduct cross-setting implementation studies to evaluate the applicability and sustainability of these implementation models.
Abstract
Objective This study systematically reviewed evidence on the operational pathways and workflow integration of digital symptom management platforms for breast cancer, covering the full process from monitoring to intervention. It summarized response pathway patterns to inform oncology nursing practice. Methods Following the Arksey and O'Malley scoping review framework, we systematically searched seven databases from January 1, 2010 to August 7, 2026. The PCC (Population, Concept, Context) principle was adopted to formulate the inclusion and exclusion criteria. Indicators related to operation and implementation were extracted. Results A total of 19 publications representing 18 independent studies and 18 unique digital platforms were included. Only a few studies reported implementation details such as data integration with hospital information systems, response time, referral escalation, staff training, and process safety. According to whether clinicians participated in symptom management workflows, we classified the included platforms into two mutually exclusive categories: the clinician-involved pathway (n = 16) and the patient-alone pathway (n = 2). Conclusions Key implementation elements of current digital symptom management platforms for breast cancer, such as system integration and response timeliness, remain insufficiently reported. We established an exploratory classification framework comprising two mutually exclusive categories—the clinician-involved pathway and the patient-alone pathway—which may serve as a reference for oncology nursing practice. Future efforts should establish a standardized reporting framework and conduct cross-setting implementation studies to evaluate the applicability and sustainability of these implementation models. Review registration The study protocol is registered in the Open Science Framework (OSF Registry ID: 10.17605/OSF.IO/QPHV3).
495
Background:
Systematic identification of late effects and supportive care needs remains inconsistent in routine oncology. Although patient-reported outcomes (PRO) offer a potential solution, their sustained integration into clinical workflows is still limited. This study evaluated the implementation of a di...
J. D. Lyhne, A. K. H. Søby, Allan Ben Smith et al.· JCO Oncology Practice· 0 citations
181
Background:
Next-generation sequencing (NGS) is integral to colorectal cancer care, as expanding targeted therapies depend on timely molecular profiling. However, timely processing and access to results depend on a multistep pathway, including biopsy, pathologist review, test initiation, laboratory processi...
L. Thanabalachandran, D. Ali, Avery Newman-Simmons et al.· JCO Oncology Practice· 0 citations
EPROs represent a shift from episodic, visit-based assessment to more continuous and responsive monitoring in breast cancer care, and their clinical value is strongest when integrated into care pathways with clearly defined responsibilities and actionable workflows.
Thanate Dajsakdipon, Luca Formenti, E. Ferraro et al.· Current Opinion in Oncology· 0 citations
Objective To map evidence on symptom network analysis in patients with gastric cancer by summarizing study characteristics, commonly used assessment tools, central and bridge symptoms, temporal symptom relationships, and associated factors, and to provide a basis for precision symptom management. Methods This scoping r...
Qiu-Er Zhu, Zi-Jing Duan, Yi Dai et al.· PLoS ONE· 0 citations
739
Background:
Community oncology practices face growing documentation burdens spanning revenue cycle management, quality reporting, and clinical operations, contributing to administrative burden and incomplete data. In one multi-practice study, the average fill rate for required oncology data elements (oMIPS)...
L. Bilbrey, L. Blakely, K. Baker et al.· JCO Oncology Practice· 0 citations
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