Implementing Personalized Cancer Medicine: Insights from a Qualitative Interview Study

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Background: Personalized cancer medicine (PCM) tailors cancer treatments based on individual genetic profiles, enabling more precise and effective therapies. Despite its potential, integrating PCM into clinical practice remains challenging because of organizational and systemic barriers. This study examined the factors influencing PCM implementation at a major cancer center in Stockholm, Sweden. Methods: We conducted semi-structured interviews with 16 medical professionals and management staff from Karolinska University Hospital and Karolinska Institutet. Content analysis was used to identify key themes related to PCM implementation. This study followed the established Consolidated Criteria for Reporting Qualitative Research guidelines to ensure methodological rigor and transparency. Results: Informants framed PCM as both a technological innovation and a patient-centered approach. However, significant barriers to implementation were identified, including organizational inertia, fragmented funding models, and ethical challenges related to access and equity. Structural silos between academic and healthcare institutions complicate integration. Key facilitators include leadership commitment, cross-sectoral collaboration, and a supportive policy environment. Participants emphasized the need for integrated infrastructure, real-time data-sharing mechanisms, and interdisciplinary training programs to support PCM. Conclusions: Successful PCM implementation requires overcoming entrenched organizational and systemic barriers through a multi-stakeholder approach involving healthcare providers, researchers, policymakers, and patient advocates. The findings underscore the necessity of a “third-form organization” to mediate between academia and clinical care. Addressing these challenges requires adaptive governance models, evidence-based policy reforms, and sustainable funding frameworks. Future research should explore comparative contexts to enhance the scalability and generalizability of PCM integration strategies.

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