Artificial intelligence is reshaping how medical communications teams work, helping them gather, summarize and structure scientific information more efficiently. In this interview, Priyanka Patel, managing director of medical strategy at BGB Group, explains that AI tools are giving teams back time—allowing them to focus on strategy, critical thinking and higher-value decision-making. AI can also help writers organize ideas and overcome “blank page syndrome,” making it easier to get started.
Efficiency, however, does not replace expertise. Patel says human judgment remains essential in three areas: interpretation, prioritization and contextualization. Scientific data may be objective, but understanding its nuances requires experience. Teams must decide which data matter most, why they matter and how they apply to different clinicians, regions and care settings. That perspective, she says, comes from years of working with physicians and understanding real-world clinical practice.
As AI becomes more common, Patel says the strongest medical communications teams will be defined by credibility and rigor. Trustworthy data, sound scientific judgment and an understanding of clinician behavior are what turn information into insight. AI can improve speed and productivity, but human expertise ensures accuracy, relevance and impact—supporting better clinical decision-making and, ultimately, patient care.
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