The Use of Wearable Devices in Oncology Patients: A Systematic Review
Open accessAbstract
Introduction: The aim of this systematic review was to summarize the current literature on wearable technologies in oncology patients for the purpose of prognostication, treatment monitoring, and rehabilitation planning. Methods: A search was conducted in Medline ALL, Cochrane Central Register of Controlled Trials, Embase, Emcare, CINAHL, Scopus, and Web of Science, up until February 2022. Articles were included if they reported on consumer grade and/or non-commercial wearable devices in the setting of either prognostication, treatment monitoring or rehabilitation. Results: We found 199 studies reporting on 18 513 patients suitable for inclusion. One hundred and eleven studies used wearable device data primarily for the purposes of rehabilitation, 68 for treatment monitoring, and 20 for prognostication. The most commonly-reported brands of wearable devices were ActiGraph (71 studies; 36%), Fitbit (37 studies; 19%), Garmin (13 studies; 7%), and ActivPAL (11 studies; 6%). Daily minutes of physical activity were measured in 121 studies (61%), and daily step counts were measured in 93 studies (47%). Adherence was reported in 86 studies, and ranged from 40% to 100%; of these, 63 (74%) reported adherence in excess of 80%. Conclusion: Wearable devices may provide valuable data for the purposes of treatment monitoring, prognostication, and rehabilitation. Future studies should investigate live-time monitoring of collected data, which may facilitate directed interventions.
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Wearable measures may correlate with quality of life and recovery trajectories.
“These measures may correlate with quality of life and recovery trajectories.28”
From Artificial Intelligence in Oncology: Practical Applications Across Clinical Care, Scholarship, and Translation. (2026) · cites this paper as [28]
Remote monitoring and digital biomarkers may extend care beyond the clinic by capturing patient-generated physiologic and behavioral data in real time.
“Remote monitoring and digital biomarkers may extend care beyond the clinic by capturing patient-generated physiologic and behavioral data in real time.”
From Artificial Intelligence in Oncology: Practical Applications Across Clinical Care, Scholarship, and Translation. (2026) · cites this paper as [28]
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The use of wearable technology in studies in older adults with cancer: a systematic review
Duin, J. J., Baltussen, J. C., Albalak, G., van Dam van Isselt, E. F., Portielje, J. E. A., Mooijaart, S. P., Soto-Perez-de-Celis, E., & van den Bos, F. (2025) · The Oncologist · doi:10.1093/oncolo/oyae319 · Cited by 11 · see citing works
Hundal, J., Veettil, A. A. V., Chung, C., & Hosseini, M. (2026) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk-26-517280 · Cited by 1 · see citing works
- Authors
- Chow, R., Drkulec, H., Im, J. H. B., Tsai, J., Nafees, A., Kumar, S., Hou, T., Fazelzad, R., Leighl, N. B., Krzyzanowska, M., Wong, P., & Raman, S.
- Affiliations
- University Health Network (CA)
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- Corresponding author
- Raman, Srinivas
- ORCID
- Venue
- The Oncologist
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-11-16
- Volume
- 29
- Issue
- 4
- Pages
- e419-e430
- ISSN
- 1083-7159 (ISSN-L)
- 1549-490X
- PMC
- PMC10994271
- OpenAlex
- W4388722167
- Cited by
- 85
- References
- 210
- Citations by year
- 2026: 36 · 2025: 36 · 2024: 13
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Oncologist (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- CARO-CROF Pamela Catton Summer Studentship Award
- Robert L. Tundermann and Christine E. Couturier philanthropic funds
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- wearable devices, cancer patients, outcome prediction, treatment monitoring, rehabilitation, physical activity, step count, device adherence, ActiGraph, Fitbit, Garmin, activPAL
- MeSH terms
- Wearable Electronic Devices, Humans, Neoplasms, Exercise
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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