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Hospitals that acquire robotic-assisted surgery (RAS) platforms often seek to increase utilization, yet surgeons and operating-room teams bear the learning, coordination, and early efficiency costs of adoption. This scoping review mapped evidence on hospital incentives and broader implementation support for appropriate surgeon adoption of RAS. Following JBI guidance and a registered protocol, we searched PubMed/MEDLINE, Embase, Scopus, Web of Science, and IEEE Xplore to September 2026, supplemented by Google Scholar and citation searching, and reported findings following PRISMA-ScR. Two reviewers independently screened 1,058 records and included 17 sources (12 empirical studies; five reviews or recommendation documents). No included source evaluated a hospital incentive program, so the evidence was indirect. Nine of the 12 empirical studies used US data, and none linked incentive or support exposure to the appropriateness of patient selection or to patient outcomes. Industry payments were associated with greater robotic use; one observational evaluation linked proficiency-based training with shorter operative times and lower unadjusted costs; and qualitative studies identified barriers related to training, staffing, operating access, and credentialing. Using the capability, opportunity, and motivation (COM-B) model to organize these findings, we propose a four-layer framework (clinical justification, capability, operating opportunity, and governance), map the evidence to each layer, and specify a minimum configuration for hospitals with limited resources. The framework is a set of testable proposals, not a validated intervention. Hospital support appears most defensible when it addresses a documented barrier within a clinically justified service, and robotic case volume alone does not adequately measure program success.
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Esmaeilzadeh et al. (2026) studied this question.
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