Lefteris Teperikidis, a Senior Systematic Reviewer at AccuScript and expert in evidence synthesis, discusses the evolving role of AI in clinical trials. He shares how AI can enhance systematic reviews, making them more efficient and less biased. The conversation addresses the hesitations surrounding AI's integration in medical writing, emphasizing the need for validation and reliability. Listeners will find insights on the balance between innovation and medical rigor, revealing how AI could revolutionize patient care and drug approval processes.
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insights INSIGHT
Impact of Medical Writing
Lefteris Teperikidis, a pharmacist and medical writer, synthesizes clinical trial data to inform medical guidelines and drug approvals.
This time-consuming process, often taking years, significantly impacts healthcare decisions.
insights INSIGHT
Drug Approval Bottleneck
The drug approval process can take up to 20 years, sometimes rendering guidelines outdated.
AI could expedite this, improving access to novel treatments.
insights INSIGHT
Hesitations About AI
Medical writers are hesitant about AI due to job security concerns and perceived unreliability.
Many also lack experience with AI tools.
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What does the advancement of AI mean for medical knowledge and clinical trials? How will AI impact the future of medical decisions? Lefteris Teperikidis, Senior Systematic Reviewer at AccuScript, joins us to share insights on how AI is transforming the landscape of clinical research and systematic reviews.
Timestamps: [00:01:15] Daily AI news [00:03:35] About Lefteris and medical writing [00:05:40] How does medical writing impact the everyday person? [00:10:25] Hesitations around AI in medical processes [00:15:10] Using AI in a responsibly in the medical field [00:19:15] How to combat AI bias for systematic reviews [00:26:00] Final takeaway
Topics Covered in This Episode: 1. Overview of the clinical trial process 2. Addressing hype and skepticism about AI in medical writing 3. Importance of clinical research and validation in the medical field 4. AI's potential to streamline systematic reviews in the pharmaceutical industry 5. Managing bias in AI-generated reviews and systematic reviews
Keywords: AI, medical writer, systematic reviews, automation of systematic reviews, fear of AI, mistrust in AI, reliable AI tools, hands-on experience with AI, AI in medical field, validation of AI tools, drug approval process, clinical trials, post-marketing surveillance, comprehensive picture, article retrieval systems, trust between medical writing community and AI tools, limitations of systematic reviews, generative AI in medical writing, generative AI in systematic reviews, impact of generative AI on patient care, AI in the pharmacy industry, reduction of time for systematic reviews, interpretation of data, responsible use of AI, clinical practice guidelines.
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