Revolutionizing Systematic Literature Reviews in Oncology
This chapter explores the challenges and advancements in systematic literature reviews (SLRs) for oncology, highlighting the introduction of a streamlined platform aimed at improving reporting efficiency for pharmaceutical clients. It emphasizes the role of automation and AI in enhancing the accuracy of SLRs, particularly for breast and lung cancer treatments, while advocating for a free, easily accessible resource for healthcare professionals. Personal motivations and collaborations with professional organizations drive the vision of transforming patient care through updated, relevant data at no cost.
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Interview with Anna Forsythe
Why You Should Listen:
✔ Discover how SLRs are evolving through automation and AI
✔ Learn how real-time data can improve cancer treatment decisions
✔ Understand the balance between innovation and clinical responsibility
✔ Hear about a tool that could change the way guidelines and clinical practice align
✔ Be inspired by a founder’s mission to create impact through altruistic innovation
🔗 Medical Data Leaders Community – Join my network of statisticians and data leaders to enhance your influencing skills.
🔗 My New Book: How to Be an Effective Statistician - Volume 1– It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.
If you’re working on evidence generation plans or preparing for joint clinical advice, this episode is packed with insights you don’t want to miss.
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