Authors
Amit Lalwani, Jon Zdon, Maaike Addicks, Yacin Marzouki, Densearn Seo, Orin Chisholm
Published in
Pharmaceutical medicine. Jul 14, 2026. Epub Jul 14, 2026.
Abstract
Digital transformation is increasingly shaping how the Medical Affairs (MA) function generates insights, engages stakeholders, and demonstrates value within the pharmaceutical industry. This article examines how MA professionals can navigate and lead the digital revolution reshaping healthcare delivery and stakeholder engagement. Digital maturity progresses from basic channel activation through tactical integration to advanced personalisation enabled by artificial intelligence (AI). Central to this transformation is the convergence of omnichannel engagement with real-world evidence generation, creating unprecedented opportunities to deliver personalised, scientifically rigorous interactions that enhance patient outcomes and healthcare professional (HCP) satisfaction. AI applications are creating new opportunities for MA to generate insights, communicate evidence, and measure impact across the healthcare ecosystem, enabling predictive analytics and intelligent content delivery at scale. Digital transformation is less likely to be effective when implemented through organisational silos. Important enablers include cross-functional collaboration, robust governance for responsible AI deployment, co-creation with external partners including HCPs and patient advocacy groups, and shared technology infrastructure that supports coordinated engagement. Best practices for digital communication strategies, fostering innovation cultures, and demonstrating measurable value are explored. As healthcare's digital evolution accelerates, MA has an important role in ensuring that digital tools are applied in ways that remain scientifically rigorous, ethically governed, and aligned with stakeholder needs. By treating digital as an enabler of high-quality scientific exchange rather than an end in itself, MA can support more relevant engagement and strengthen the translation of evidence into practice.
PMID:
42446850
Bibliographic data and abstract were imported from PubMed on 14 Jul 2026.
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