In this episode of Vertical Insights, we dive into the complexities of targeting healthcare professionals (HCPs) in the rare disease sector—one of the most challenging yet impactful areas in the pharmaceutical world. Discover how leveraging AI and open data can transform your approach to identifying and engaging with HCPs, ultimately improving patient outcomes.
🩺 What You’ll Learn:
1️⃣ Precise HCP Identification: Learn how AI analyzes open data sources to pinpoint HCPs actively engaging with rare disease topics, ensuring you connect with the right experts.
2️⃣ Addressing Awareness Gaps: See how to find and educate HCPs who may not be fully aware of rare disease indicators, helping to close the gap in missed diagnoses.
3️⃣ Navigating Referral Pathways: Discover how AI maps formal, informal, and referral networks, revealing critical connections between regional HCPs and their roles in patient pathways.
4️⃣ Real-World Examples: Follow a case study on pulmonary arterial hypertension (PAH), showcasing how AI-driven content analysis identifies HCPs with relevant expertise and builds awareness campaigns for those treating related conditions.
💡 Why This Matters: Rare diseases pose unique challenges for patients, physicians, and pharmaceutical companies alike. With fewer than 1 in 2,000 people affected, traditional targeting methods often fall short.
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AI for Life Science