在医疗事务中利用人工智能的力量

Harnessing the Power of Artificial An exploration of practical applications and responsible adoption NIAMH MCGUINNESS, Director, Pharma Solutions, IQVIA Applied AI Science Table of contents Introduction1 NavigatingMedical1ResponsibleadoptionDefensibleAI4Literaturereview:5RevolutionizingConsolidatingChartreview:ionCasestudy:8KOLidentificationtMedicalcommunications:Conclusion:Cutting1References12Aboutthe13Acknowledgements13 Introduction The rapid proliferation of Artificial Intelligence (AI) carries transformativepotential across the pharmaceutical and life sciences sector, and Medical From Natural Language Processing (NLP) and machine learning to theemergence of Large Language Models (LLMs), generative AI tools and This white paper outlines some of the key challenges and imperatives facingprofessionals in the Medical Affairs space and considers how responsible AIadoption can equip teams to solve for them. We will examine several of the Navigating Medical Affairs challenges As Medical Affairs has evolved from a support functionto become the third strategic pillar between commercialand R&D, professionals in this space find themselves the patients we serve. There is also increasingpressure to communicate the medical impact and The complexity and scale of the challenges requiresmart solutions that can enhance efficiency andimpact. With this in mind, AI is poised to bring Consequently, Medical Affairs professionals arenow grappling with an explosion in data volume,both structured and unstructured, flowing from By effectively harnessing AI, teams can more easilyconvert large scale and disparate data into actionableinsights, boost operational efficiency through streamlined Responsible adoption is essential for effective transformation AI transformation is no simple task for any organization and must be underpinned by a range of practical and To truly drive value in the healthcare space, it is essential to start with a clear understanding of the risks and howto mitigate them. The key challenges associated with AI use, particularly LLMs, include: RELIABILITY OF DATA •Biases in input data can be amplified and lead to •As models are only as reliable as the data on whichthey are trained, incomplete training data can cause •Learning techniques can result in responses that •Version control leads to often outdated SCALE To harness AI safely and reliably in our industry, modelsmust be built and trained on high-quality health data,benchmarked and optimized, and fit into purpose-built •Enormous computational scale leads to both •In Medical Affairs, this scale is particularlysignificant due to the complexity, sensitivity, and Broadly, efforts to secure user trust and understanding,appropriate tool selection, and establishing aframework to evaluate reliability will form the bedrock REGULATORY CONSIDERATIONS •The speed of innovation can outpace If handled responsibly, AI transformation will help tounlock the full potential of Medical Affairs, enablingprofessionals to deliver enhanced insights and value •Despite global frameworks, there are noharmonized global AI regulations — with Defensible AI applications for Medical Affairs We have discussed how AI, with appropriategovernance and quality assurance, has the potentialto bring great value to Medical Affairs. So where can value by supporting streamlined processes, enhanceddata analysis and deep insight generation. While AI holds significant promise across various sub-domains of Medical Affairs, this paper concentrates on There are a large and multifaceted range of defensible LITERATURE REVIEW CHART REVIEW A ubiquitous requirement whichunderpins decision-making inMedical Affairs, and across the drugdevelopment lifecycle more broadly.Literature review is typically thefirst step in any scientific endeavor, Provides rich, patient-level data on treatment patterns, outcomes,and disease progression, making it one of the most powerful MEDICAL KEY OPINION LEADER(KOL) IDENTIFICATION Critical for translating complexscientific data into clear, credible,and impactful messaging that Essential for ensuring strategicengagement with the mostrelevant experts across Literature review: Unlocking efficiency and insight In Medical Affairs, literature reviews serve as afoundational tool for evidence-based decision While literature reviews, especially targeted orsystematic reviews, can be tremendously valuable for METHODOLOGICAL RIGOR Selecting the appropriate review type requires a deep understanding of the research question, the availableevidence, and must consider the regulatory context. Each type of review has distinct methodologicaland scope-related requirements. Especially in the case of systematic literature reviews, there is a need DATA VOLUMES The large quantity of published literature can be overwhelming, especially in rapidly evolving therapeuticareas. The research question must be precise and unambiguous, as broader search strategies will g