Integrating Artificial Intelligence in Medical Writing: Balancing Technological Innovation and Human Expertise, with Practical Applications in Lower Extremity Wounds Care.

Int J Low Extrem Wounds

Environmental-Occupational Health Sciences and Non Communicable Diseases Research Centre, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

Published: January 2025

AI Article Synopsis

  • AI is transforming medical writing by increasing efficiency and accuracy in healthcare communication and research, while still requiring human expertise.
  • AI technologies like natural language processing help with rapid draft creation, literature summarization, and consistent documentation, particularly in areas such as ischemic leg ulcers.
  • Despite its benefits, AI raises ethical concerns, such as biases and privacy issues, emphasizing the need for human oversight and further research on cost-effectiveness in clinical trials and medical writing.

Article Abstract

Artificial Intelligence (AI) is revolutionizing medical writing by enhancing the efficiency and precision of healthcare communication and health research. This review explores the transformative integration of AI in medical writing, highlighting its dual role of enhancing efficiency while maintaining the crucial elements of human expertise. AI technologies, including natural language processing and AI-driven literature review tools, have significantly advanced, facilitating rapid draft generation, literature summarization, and consistency in medical documentation. Key applications include aiding study design, enhancing content drafting, and optimizing literature reviews through specific AI tools. Moreover, this review delves into practical applications of AI in the context of lower extremity wounds, specifically ischemic leg ulcers, demonstrating how AI can streamline the synthesis of relevant literature. While AI presents notable advantages, it also raises ethical concerns, such as potential biases and data privacy issues, highlighting the need for human oversight in the writing process. A proposed future framework suggests that AI could take over routine tasks, allowing medical writers to devote more attention to analytical and ethical aspects. Additionally, there is a strong need for further research on the cost-effectiveness of both clinical trials utilizing AI interventions and the incorporation of AI in medical writing. Ultimately, balancing the integration of AI in medical writing promises to improve both healthcare communication and health research, ensuring the production of high-quality, patient-centric and research-focused content.

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Source
http://dx.doi.org/10.1177/15347346241312814DOI Listing

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