The story of how Swiss pharmaceutical company OM Pharma transformed pharmacovigilance with AI solution DrugCard.
Client:
Location:
Switzerland
As PV activities scaled, key process limitations became evident
OM Pharma faced growing pharmacovigilance demands that strained traditional manual processes:
- Time-consuming literature surveillance, with safety reviewers spending approximately 25 minutes per article to identify and assess relevant safety information.
- Limited scalability makes it increasingly difficult to keep pace with growing volumes of scientific literature across multiple products.
- Fragmented workflows require teams to switch between tools for literature review, relevance assessment, and translation.
- Inefficient identification of safety signals delays insights and places additional pressure on pharmacovigilance resources.
- Resource-intensive operations, where highly qualified PV professionals spent significant time on repetitive screening and administrative activities instead of expert safety evaluation.
Optimising Pharmacovigilance Workflows with DrugCard
OM Pharma implemented DrugCard’s AI-powered local literature monitoring solution to transform and streamline pharmacovigilance workflows, enabling:
- Rapid, high-volume screening and classification of 1,550 scientific articles within the review period.
- AI-driven detection of pharmacovigilance relevance and automated identification of potential safety content.
- Advanced ICSR detection supported by an integrated adverse reaction intelligence database.
- Seamless PubMed integration, ensuring continuous global literature surveillance and improved coverage.
- Built-in automated translation capabilities enable efficient review of non-English publications without disrupting workflows.
Measurable Impact Across Safety, Speed, and Scale
With DrugCard, OM Pharma transformed its pharmacovigilance workflow:
- Improved safety signal detection with 85 articles flagged, including 8 reportable safety cases and 6% of all articles containing safety-relevant data.
- Significant efficiency gains with review time reduced from ~25 minutes to 3 minutes per article, delivering a 94% time saving.
- 139 articles automatically translated, removing a major language-related bottleneck.
- Scalable operations with a single 5-product project managed by a 5-person team and centralised data processing for one country.
Ready to Achieve Similar Results?
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