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Feasibility and preliminary efficacy of an artificial intelligence-based cancer survivorship care plan service using digital platforms: a single-arm prospective pilot study
Abstract
Purpose This study tested the feasibility and preliminary efficacy of an artificial intelligence (AI)-based survivorship care plan (SCP) service (named "quality of life [QOL] + intervention") for posttreatment breast cancer survivors using digital platforms. Methods A single-arm prospective pilot study was conducted, and 38 posttreatment breast cancer survivors in South Korea were enrolled. The QOL + intervention consisted of 1) collection of patient-reported outcomes data from survivors via a mobile app, 2) automated generation of SCP via a website, and 3) in-person SCP review and counseling. Feasibility was assessed using study participation rate, retention rate, mobile app access rate, task completion rate, intervention satisfaction, etc. Preliminary efficacy was evaluated using changes in patient-provider interaction, patient activation, cancer survivors' self-efficacy, and QOL from baseline to 1 week after the intervention. Results Feasibility assessment showed promising results, with a 70.7% participation rate, an 89.5% retention rate, an 88.2% mobile app access rate, a 91.2% task completion rate, and an 88.2% satisfaction rate. The QOL + intervention improved patient activation (p = 0.051, effect size = 0.29), self-efficacy (p = 0.040, effect size = 0.31), and QOL (p = 0.010, effect size = 0.42). However, no significant change occurred in patient-provider interaction after the intervention (p = 0.098). Conclusions The QOL + intervention was feasible and preliminarily e…
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Pilot and randomized studies have demonstrated improvements in self-efficacy, quality of life, and patient activation with AI-supported survivorship tools.
“Pilot and randomized studies have demonstrated improvements in self-efficacy, quality of life, and patient activation.35,36”
From Artificial Intelligence in Oncology: Practical Applications Across Clinical Care, Scholarship, and Translation. (2026) · cites this paper as [35]
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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
Metadata
- Authors
- Kim, S. H., Park, S.-Y., Lim, S. M., & Yi, H.
- Affiliations
- Inha University (KR)
- Corresponding author
- Kim, Soo Hyun
- Venue
- Journal of Cancer Survivorship
- Published
- 2025-06-06
- Volume
- 20
- Issue
- S1
- Pages
- 544-555
- ISSN
- 1932-2259 (ISSN-L)
- 1932-2267
- OpenAlex
- W4411109503
- Cited by
- 4
- References
- 1
- Citations by year
- 2026: 3 · 2025: 1
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Cancer Survivorship (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea grant funded by the Korea government (RS-2022-NR070003)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- breast cancer survivors, survivorship care plans, artificial intelligence, digital health platforms, mobile application, patient activation, self-efficacy, quality of life, patient-provider interaction, feasibility
- MeSH terms
- Cancer Survivors, Survivorship, Digital Health, Adult, Aged, Artificial Intelligence, Breast Neoplasms, Feasibility Studies, Female, Humans, Middle Aged, Patient Care Planning, Pilot Projects, Prospective Studies, Quality of Life, Republic of Korea, Mobile Applications
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