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ISMPP U - The Rise of ChatGPT and Generative AI: Implications for Medical Writing, Authorship, Content Development and QA Systems

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The Rise of ChatGPT and Generative AI: Implications for Medical Writing, Authorship, Content Development and QA Systems

Artificial intelligence (AI) is being harnessed with staggering speed for tasks in imaging, drug discovery, and prognostics. It is also increasingly being used to help search and analyze literature, extract information, address information gaps and scan horizons for trends. Generative AI is a type of AI that helps to generate new content in addition to just recognizing or classifying what exists. OpenAI released its free groundbreaking tool, ChatGPT, late last year and quickly garnered worldwide attention for its abilities to articulate human-like, natural language answers across many knowledge domains.

How might advances in data science, generative AI and evidence generation continue to impact medical publications and communications? Will generative AI like ChatGPT become ubiquitous as a tool for a range of activities such as summarization, translation, coding and answering complex scientific questions? How could it impact patients and lay summary generation? Are the bots going to take over? This webinar will delve into ChatGPT and generative AI – including its inception, what it is (and isn’t), the implications for science and real-world evidence as well as its impact on medical writing, publications and communications. Faculty will discuss the strengths and limitations of ChatGPT and generative AI as well as provide perspective on the future landscape.

Learning Objectives: At the end of this session attendees will

  • Understand ChatGPT and how it is changing science communications
  • Learn about its various applications, as well as its strengths and limitations
  • Obtain insight into the future landscape

Approved for 1 CMPP credit.

Description

The Rise of ChatGPT and Generative AI: Implications for Medical Writing, Authorship, Content Development and QA Systems

Artificial intelligence (AI) is being harnessed with staggering speed for tasks in imaging, drug discovery, and prognostics. It is also increasingly being used to help search and analyze literature, extract information, address information gaps and scan horizons for trends. Generative AI is a type of AI that helps to generate new content in addition to just recognizing or classifying what exists. OpenAI released its free groundbreaking tool, ChatGPT, late last year and quickly garnered worldwide attention for its abilities to articulate human-like, natural language answers across many knowledge domains.

How might advances in data science, generative AI and evidence generation continue to impact medical publications and communications? Will generative AI like ChatGPT become ubiquitous as a tool for a range of activities such as summarization, translation, coding and answering complex scientific questions? How could it impact patients and lay summary generation? Are the bots going to take over? This webinar will delve into ChatGPT and generative AI – including its inception, what it is (and isn’t), the implications for science and real-world evidence as well as its impact on medical writing, publications and communications. Faculty will discuss the strengths and limitations of ChatGPT and generative AI as well as provide perspective on the future landscape.

Learning Objectives: At the end of this session attendees will

  • Understand ChatGPT and how it is changing science communications
  • Learn about its various applications, as well as its strengths and limitations
  • Obtain insight into the future landscape

Approved for 1 CMPP credit.

Contributors

  • Jenny Ghith, Senior Director, Omnichannel Strategy and Innovations Lead, Global Scientific Communications, Pfizer Oncology

    • Jenny holds a MS in Biology and Immunology from Virginia Tech, is an MBA candidate with more 15 years of experience in the field of scientific communications
    • She is a Certified Medical Publication Professional™ (CMPP™), and an At-Large member of the ISMPP Board of Trustees
    • In her role at Pfizer, she leads omnichannel initiatives and is passionate about advancing understanding of science by bridging AI technologies from data scientists to the healthcare community

  • Jen Webster, Senior Director, Oncology Real-World Evidence Scientist Team Lead, Pfizer

    • Jen is a statistician by training and has spent the last 12 years building and using real world data systems to generate evidence and insights
    • She is interested in the ways we can use evidence to drive transformation toward high value healthcare
    • At Pfizer, Jen leads the real world precision medicine team, which uses high density real world data throughout the asset lifecycle

  • Avishek Pal, Global Medical Director, Cell and Gene Therapy, Novartis Oncology

    • Avishek is a Microbiologist by training and a Certified Medical Publication Professional™ (CMPP™), with more 15 years of experience in the field of scientific communications
    • He takes active interest in data transparency initiatives, is passionate about publication ethics and patient engagement and always on a lookout for digital innovations in scientific communications
    • In his current role in the Novartis Cell and Gene global medical team, Avishek is leading their innovative above-country medical model, alongside medical engagement strategy

  • Bob Schijvenaars, Vice President, Technology, Digital Science

    • Bob has a PhD in Medical Informatics, with over 30 years of experience in the field of data science, bibliometrics and natural language processing
    • He was involved in the design of a number of well-known products in corporate, publishing, and at a funding agency
    • In his current role at Digital Science, Bob is involved in driving innovation in a corporate consultancy setting

February 8, 2023
Wed 11:00 AM EST

Duration 1H 0M

This live web event has ended.

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