Enhanced guidance on artificial intelligence for medical publication and communication professionals

The International Society for Medical Publication Professionals (ISMPP) position statement and call to action on the use of artificial intelligence (AI), published in 2024, recognized the value of AI while advocating for best practices to guide its use. In this commentary, we offer enhanced guidance on the call to action for ISMPP members and other medical communication professionals on the topics of education and training, implementation and use, and advocacy and community engagement. With AI rapidly revolutionizing scientific communication, members should stay up to date with advancements in the field by completing AI training courses, engaging with ISMPP AI education and training and other external training platforms, developing a practice of lifelong learning, and improving AI literacy. Members can successfully integrate and use AI by complying with organizational policies, ensuring fair access to AI models, complying with authorship guidance, properly disclosing the use of AI models or tools, respecting academic integrity and copyright restrictions, and understanding privacy protections. Members also need to be familiar with the systemic problem of bias with large language models, which can reinforce health inequities, as well as the limits of transparency and explainability with AI models, which can undermine source verification, bias detection, and even scientific integrity. AI models can produce hallucinations, results that are factually incorrect, irrelevant, or nonsensical, which is why all outputs from AI models should be reviewed and verified for accuracy by humans. With respect to advocacy and community engagement, members should advocate for the responsible use of AI, participate in developing AI policy and governance, work with underserved communities to get access to AI tools, and share findings for AI use cases or research results in peer-reviewed journals, conferences, and other professional platforms.

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Publication Details

Journal
Current Medical Research and Opinion
Published
2025-08-03
DOI
https://doi.org/10.1080/03007995.2025.2556012
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
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article

Enhanced guidance on artificial intelligence for medical publication and communication professionals

Chirag B. Patel, Stephen Griffiths, Matthew Lewis, A. M. Shepherd et al.
1 citations
Current Medical Research and Opinion
Artificial Intelligence in Healthcare and Education
0.65
article

Enhanced guidance on artificial intelligence for medical publication and communication professionals

Chirag B. Patel, Stephen Griffiths, Matthew Lewis, A. M. Shepherd, John Gardner, Keith Goldman, Valerie Moss, Gary Dorrell, Amy Foreman-Wykert, Monica Mody
article en
1 citations

Abstract

The International Society for Medical Publication Professionals (ISMPP) position statement and call to action on the use of artificial intelligence (AI), published in 2024, recognized the value of AI while advocating for best practices to guide its use. In this commentary, we offer enhanced guidance on the call to action for ISMPP members and other medical communication professionals on the topics of education and training, implementation and use, and advocacy and community engagement. With AI rapidly revolutionizing scientific communication, members should stay up to date with advancements in the field by completing AI training courses, engaging with ISMPP AI education and training and other external training platforms, developing a practice of lifelong learning, and improving AI literacy. Members can successfully integrate and use AI by complying with organizational policies, ensuring fair access to AI models, complying with authorship guidance, properly disclosing the use of AI models or tools, respecting academic integrity and copyright restrictions, and understanding privacy protections. Members also need to be familiar with the systemic problem of bias with large language models, which can reinforce health inequities, as well as the limits of transparency and explainability with AI models, which can undermine source verification, bias detection, and even scientific integrity. AI models can produce hallucinations, results that are factually incorrect, irrelevant, or nonsensical, which is why all outputs from AI models should be reviewed and verified for accuracy by humans. With respect to advocacy and community engagement, members should advocate for the responsible use of AI, participate in developing AI policy and governance, work with underserved communities to get access to AI tools, and share findings for AI use cases or research results in peer-reviewed journals, conferences, and other professional platforms.

Current Medical Research and OpinionVol. 41(8)
Central Intelligence Agency (US), Prime Minister's Office (BN), Pfizer (United States) (US), AbbVie (United States) (US), Envision Education (US), General Department of Preventive Medicine (VN), Office of the Chief Scientist (IL), Inflammation Research Foundation (US), Madrigal Pharmaceuticals (United States) (US), Salus (United States) (US), Real Prevention (United States) (US), Public Risk Management Association (US)
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
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