P246: Transforming into a New Era of Medical Information: Mobile Journalism, Short Videos, and AI-Assisted Insights and Writing
Poster Presenter
Linda Chiou
Senior Manager Medical Information
LEO Pharma United States
Objectives
Describe how moving toward MOJO through short, engaging videos demystified, clarified, and raised the importance of MI processes, how utilizing an AI assistant sped creation of inquiry insights from inquiry logs, and how we really challenged/ tested AI to support literature alerts and MI writing.
Method
We posted bite-sized, attention-grabbing videos and AI ‘how-to’ tutorials on an internal page. We piloted an AI assistant to draft inquiry insights, summarize new publications for alerts, and draft short MI content. Human intervention reviewed all outputs, tracked views, and gathered live feedback.
Results
Twenty-five short mobile journalism (MOJO) videos (about 2-5 minutes) were launched on our internal site, visually showcasing how medical questions are handled, MI’s role at local countries and international conferences, and how we use artificial intelligence in MI. The greatest impact in terms of viewer engagement was seen at launch, settling into a steady baseline thereafter.
Our established medical inquiry insights generation process was manually performed and labor-intensive – often taking days. We devised a pilot to automate this time-intensive process by exporting a monthly, de-identified line list and asking the AI assistant to draft a short “what we’re hearing” summary listing top themes with brief, attention-grabbing examples. MI personnel checked and edited each draft, turned key points into simple, quick-update slides, saving each report in a central, searchable AI-powered workspace for on-demand access. Twenty-four monthly product insight summaries and 12-months’ worth of literature alerts and standard contents were produced, with AI-assisted first drafts for short text and simple graphs/charts. This helped achieve considerably faster, tighter wording and original graphs/charts, which were reviewed carefully to ensure accuracy, tone, and compliance.
Conclusion
Simple steps using AI achieved an outsized impact. Short, plain-language videos engaged and clarified what MI offers. AI tutorials helped colleagues try these tools confidently and safely at a time that suited them. An AI assistant moved us from slow, manual write-ups to almost instantaneous first drafts that partners could skim and use. Human review ensured accuracy and the right tone. These quick wins came without the need for heavy tools or complex change: one hub page for videos, a simple prompt, a fixed template for summaries, and a central place to store and find reports. Next steps include measurement through KPIs: watch time, repeat views, time to first draft, and edit rate, with an ambition to expand videos to new topics and internal audiences. This is a repeatable SMART model for other teams: start small, keep content short and findable, use AI for first drafts, teach with simple tutorials, and always review before sharing.
