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Background With the increasing number of survivors of cancer, there is a corresponding rise in global health care expenditure. Digital health interventions have the potential to improve cancer survivorship by overcoming mobility and geographic barriers and, more critically, by leveraging AI to deliver dynamic, just-in-time supportive interventions and real-time risk stratification based on continuous monitoring of patient-generated health data. Although the clinical benefits of digital health in cancer survivorship care are widely recognized, their economic value remains unclear. This review aims to systematically collate and synthesize the available economic evidence on digital health interventions for cancer survivorship. Objective This systematic review aims to review and synthesize the available economic evidence on digital health interventions designed for cancer survivorship care to inform policy and resource allocation. Methods We will systematically review the full and partial economic evaluations of digital health for cancer survivorship. The search will cover the following databases: PubMed, Embase, Web of Science, and Scopus. It will also be supplemented by gray literature identified through Google Scholar. Studies will be included if they target cancer survivorship and report economic outcomes of digital health interventions. Data extraction will be structured by the World Bank’s framework for economic evaluation of digital health interventions, allowing a thematic synthesis of costs, outcomes, and perspectives. The reporting quality and transparency of each included study will then be critically appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. A narrative synthesis will then be conducted to group and compare the findings by intervention type, cancer type, evaluation perspective, and reported cost-effectiveness. Results This systematic review was registered with PROSPERO on January 19, 2026 (CRD420251251151). The database searches identified 5091 records. After the removal of 896 (17.6%) duplicates in Covidence, 4195 records were screened by title and abstract. Following title and abstract screening, 3831 (91.3%) records were excluded, 364 (8.7%) records were retained for full-text review, and 46 studies were included in the review. As of November 2026, data extraction has been completed, while quality assessment and data synthesis are ongoing. The review is expected to be completed in January 2027. Conclusions This will be the first systematic review to comprehensively synthesize the economic evidence of digital health interventions for survivors of cancer. The findings will provide an evidence base to guide health care policy, investment decisions, and the implementation of sustainable and cost-effective digital survivorship care models. Trial Registration PROSPERO CRD420251251151; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251251151 International Registered Report Identifier (IRRID) DERR1-10.2196/101773
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Liu et al. (2026) studied this question.
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