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Novo Nordisk is using Claude AI to draft clinical study reports, hundreds of pages long, in just 10 minutes instead of 15 weeks What previously required 50+ writers now needs only three. Human writers oversee, refine, and guide the AI-generated reports. Novo hasn’t laid off any writers but is hiring fewer. The cost savings allow the company to invest in other departments instead Ok this is exciting but here is a reminder of 6 pharma examples already using AI to drive operational efficiencies: 🔘Sanofi developed a new app called plai with AI company AILY LABS to support employee decision making across the company's manufacturing, R&D, and other divisions 🔘 Sanofi in collaboration wth OpenAI and Formation Bio introduced Muse, an AI tool to streamline patient recruitment for clinical trials by identifying ideal profiles, generating materials, and ensuring regulatory compliance (CLAIM) 🔘 Bristol Myers Squibb uses AI for clinical data narration and fast document review. They've set ethical AI guidelines, prioritized data privacy with in-house ChatGPT, and formed an AI-focused cross-departmental team. 🔘 Gilead Sciences expanded its AI partnership with Cognizant to enhance internal efficiency, streamline operations, and also accelerate drug development through machine learning and generative AI 🔘Moderna expanded its partnership with OpenAI to provide its employees with ChatGPT Enterprise, enabling the creation of customizable GPTs to enhance and overhaul various business processes, with plans to extend this to 3000 employees to further drive an AI-centric culture. 🔘Pfizer developed a generative AI platform called ‘Charlie’ named after their founder. It is being used to help with content creation and editing, fact-checking and legal reviews and to support employee collaboration 💬While I genuinely applaud these efforts, it’s always worth remembering that efficiency gains without effectiveness are largely meaningless. That’s not to say pharma isn’t considering this, but most AI use cases we’re seeing tend to prioritize efficiency over true effectiveness 👇Links to relevant articles in comments #DigitalHealth #AI #Pharma
Thanks for sharing!
So true, Gary! In pharma and beyond, efficiency is easy to sell. But effectiveness? That’s where the bar is higher. I’m Enola, and I don’t summarize—I diagnose. Built for decision-makers who ask “What changed, and why?” and expect real answers, not just a report. https://askenola.ai/
Congratulations!! Its a great implementation in clinical study world. Users needed to do repetitive work on several content which was extremely time consuming with chances of human error. This great implementation has saved lots of cost along with chances of error . Moreover this LLM model is continuously learning and implementing new changes.
Other interesting examples are agentic DM and CTA. Some biotechs are leveraging AI agents to remove CROs altogether.
AI, among more routine operations, could significantly accelerate drug discovery and reduce the high failure rate in clinical development. I agree with keeping an eye on the long-term purpose (improving patients' lives) rather than simply improving efficiency.
Thanks for sharing Gary. A growing trend for sure. AI is streamlining pharma and shifting demand away from traditional medical writing, but it’s not replacing medical writers. As a medical communications consultant, the roles are evolving. Those who are AI-savvy, strategic, adaptable, and compliance-focused are more valuable than ever. AI will replace those who don’t adapt.
Dear Gary, thanks for sharing. From AI-driven clinical data narration to patient recruitment optimization, these advancements streamline regulatory compliance, accelerate drug development, and improve decision-making—ultimately driving better patient outcomes and operational excellence. These applications save time, reduce costs, and enhance scalability—but it would be worth studying if they are ensuring better treatments and patient care.
It's great to see the benefits being realised using AI/GenAI in Pharmas ! However, too often we only prioritise the EFFICIENCY vs EFFECTIVENESS metrics to measure success. In general, this is a good starting point. SCALABILITY vs BUSINESS_IMPACT also need to be considered. Remember, not everything has to scale if the business impact is high. Conversely, high scalability with low business impact is not worth pursuing.
LinkedIn ‘Top Voice’ >> Follow for the Latest Trends, Insights, and Expert Analysis in Digital Health & AI
5moNovo & Claude >. (PAYWALL) https://www.theinformation.com/articles/ozempic-maker-says-ai-is-finally-reliable-enough-to-produce-sensitive-documents Sanofi & Lily > https://www.fiercepharma.com/pharma/sanofi-goes-all-ai-new-app-support-company-across-areas Sanofi & OpenAI > https://www.fiercebiotech.com/cro/sanofi-formation-and-openai-design-ai-tool-slash-clinical-trial-timelines BMS > https://www.forbes.com/sites/peterhigh/2023/09/06/bristol-myers-squibb-tech-and-digital-chief-develops-a-game-plan-for-generative-ai/ Gilead & Cognizant > https://www.pharmaceutical-technology.com/news/gilead-cognizant-expand-deal/ Moderna & OpenAI > https://www.wsj.com/articles/at-moderna-openais-gpts-are-changing-almost-everything-6ff4c4a5 Pfizer > https://digiday.com/marketing/with-charlie-pfizer-is-building-a-new-generative-ai-platform-for-pharma-marketing/