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The AI in Business Podcast

Commercial Solutions in Life Sciences from a Data Perspective - with Jane Chen of Novartis

Aug 7, 2024
14:18
Snipd AI
In this discussion, Jane Chen, Director of Commercial Analytics for Women’s Cancer at Novartis, shares her expertise on the hurdles in identifying patient groups with rare diseases. She emphasizes the impact of HIPAA regulations on data privacy and the challenges posed by fragmented data sources. Jane also highlights the innovative potential of generative AI in transforming patient experiences, insisting on the importance of integrating commercial data to improve healthcare workflows. Her insights shine a light on the evolving landscape of life sciences analytics.
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Quick takeaways

  • Identifying and segmenting patients with rare diseases challenges healthcare leaders due to incomplete datasets and regulatory constraints.
  • Generative AI holds potential for improving data analysis in healthcare, enabling better patient identification despite privacy concerns and HIPAA regulations.

Deep dives

Challenges in Patient Identification for Rare Diseases

Identifying and segmenting patients with rare or niche conditions poses significant challenges for commercial leaders in healthcare. Traditional raw claims data often falls short in accurately defining these smaller patient populations, making it difficult to find individuals actively diagnosed with specific diseases such as certain types of cancers. The process typically involves navigating multiple data sources to gather insights, often hampered by incomplete datasets from labs and healthcare providers that do not comprehensively cover the entire population. Such limitations create obstacles in ensuring effective therapeutic interventions for patients who stand to benefit the most from specialized care.

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