ArticlePharmaceutical medicine2025
The Evolution of In-Field Medical Affairs: Introducing the Strategic Scientific Advisor.
Article in Pharmaceutical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Transformation of a Medical Information Department to Meet the New Healthcare Realities of the Post-Pandemic Era.Pharmaceutical medicine · 2026Article
- Shaping the Future of Evidence Generation: Real-World Data to Drive Healthcare Transformation and Patient-Centered Decisions.Pharmaceutical medicine · 2026Article
- The Evolution of Medical Affairs Central Teams: Shaping Strategic Action and Driving Healthcare Transformation Through Scientific Interaction.Pharmaceutical medicine · 2026Article
- Pioneering the Future of Medical Affairs: A Strategic Transformation to Meet the Spanish Healthcare Ecosystem's Evolving Trends.Pharmaceutical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolving landscape of healthcare demands a transformation in Medical Affairs (MA) to address new challenges and opportunities. This article presents the Strategic Scientific Advisor (SSA) role as a critical innovation within our MA department, aimed at enhancing early engagement with stakeholders and strategically positioning assets within the healthcare ecosystem. The SSA role was developed following a comprehensive external assessment and an internal review of the MA department's structure to integrate the CARABELA methodology, which serves as the foundation for SSA activities. CARABELA is a joint initiative between AstraZeneca and key scientific societies to optimize clinical practices in specific chronic diseases using a holistic strategy, whose implementation is monitored in each hospital by applying specifically designed indicators. The SSA role design, guided by the Strategic Scientific Area Plan Framework, emphasizes early proactive engagement, evidence generation, and a multidisciplinary approach to optimizing clinical practices. By fostering collaboration across internal teams and external partners, the SSA supports activities throughout the entire lifecycle of the product, facilitating early access strategies, and building tailored plans to address unmet medical needs. In contrast to traditional Medical Science Liaisons (MSLs), SSAs play pivotal roles in driving long-term healthcare outcomes, aligning with the Medical Affairs 2030 vision. The SSA is trained and evaluated to catalyze a strategic shift, enabling MA to address the complexities of healthcare ecosystems, improve clinical practices, and contribute to patient-centered innovations. This transformation underscores the critical need for MA professionals to expand beyond traditional responsibilities and lead initiatives that shape the future of healthcare.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.