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『生成AIのフル活用で「創薬期間の大幅短縮」実現へ、中外製薬のDXリーダーが語るDX部門のこれからの役割』という記事を読みました。 さ菅と思いましたので、改めて、中外製薬における生成AI活用、特に知財業務における生成AIの活用について、生成AIに調査・まとめさせました。(なお、生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。) 記事では、製薬業界のDXを牽引する中外製薬が、「創薬期間の大幅短縮」を実現するために生成AIをいかにフル活用しているか、AIエージェントの導入によって研究開発や営業プロセスの抜本的改革に挑んでいるデジタルトランスフォーメーションユニット長の鈴木貴雄氏がその最前線を語っています。 中外製薬が推し進めるのは、AIエージェントを通じた業務の最適化とスピードアップ。特に注力するのは「創薬プロセスの時間短縮」。ビジネス全体の再設計にまで踏み込むことで、AIを単なる効率化のツールではなく、企業成長のエンジンとして位置づける戦略を描いています。 営業現場でもAIの導入は進んでいて、MR(医療機関向け営業)が使用するアプリ「メディメンター」では、医師への説明スキルを学習する仕組みを搭載。チャット形式で医師からの反応を想定し、対話の最適解を導き出す。単なる営業効率化に留まらず、「医師のタイプ別対応」など新たな知見を蓄積できる点が特徴。 鈴木氏は「人間のプロセスを理解したうえで、AIに任せる領域と責任を設計する力が不可欠」と強調。責任の所在を曖昧にせず、最終的な意思決定は人が担うという原則を重視しているということです。 生成AIのフル活用で「創薬期間の大幅短縮」実現へ、中外製薬のDXリーダーが語るDX部門のこれからの役割 2025.9.29 https://jbpress.ismedia.jp/articles/-/90687 Chugai Pharmaceutical Aims to Achieve “Significant Shortening of Drug Discovery Timelines” Through Full Utilization of Generative AI I read an article titled “Chugai Pharmaceutical’s DX Leader Talks About the Future Role of the DX Division: Achieving a ‘Significant Shortening of Drug Discovery Timelines’ Through Full Utilization of Generative AI.” I found it very insightful, so I asked generative AI to further investigate and summarize the use of generative AI at Chugai Pharmaceutical, especially in intellectual property (IP) operations. (Please note: the investigation and analysis by generative AI are based solely on publicly available information, and therefore may not necessarily reflect the actual situation; it may also include inaccuracies. Please keep this in mind when reviewing.) The article highlights how Chugai Pharmaceutical, a driving force of DX in the pharmaceutical industry, is fully utilizing generative AI to realize “a significant shortening of drug discovery timelines.” Takao Suzuki, Head of the Digital Transformation Unit, describes how the company is at the forefront of introducing AI agents to fundamentally reform R&D and sales processes. Chugai’s focus is on optimizing and accelerating business operations through AI agents, with particular emphasis on reducing the time required for the drug discovery process. By going as far as redesigning the overall business structure, the company positions AI not merely as a tool for efficiency but as a growth engine for the enterprise. AI introduction is also advancing in sales activities. In the “Medimentor” app used by MRs (medical representatives), a mechanism has been implemented for learning physician communication skills. It simulates responses from physicians in chat format and derives optimal conversational strategies. The app does more than just improve sales efficiency—it also accumulates new insights such as “tailored approaches by physician type.” Mr. Suzuki emphasizes that “It is essential to have the ability to understand human processes and design the domains and responsibilities to be entrusted to AI.” He underscores the importance of avoiding ambiguity regarding accountability, while maintaining the principle that final decision-making must always remain with humans. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document. Your browser does not support viewing this document. Click here to download the document.
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著者萬秀憲 アーカイブ
September 2025
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