Enhancing patient understanding in obstetrics: the role of generative AI in simplifying informed consent for labor induction with oxytocin.

Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where procedures like labor induction carry significant risks and require clear patient understanding. Despite legal mandates for patient materials to be accessible, many consent forms remain too complex, resul...

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Publicado en:Journal of Perinatal Medicine Vol. 53; no. 6; pp. 688 - 696
Autores principales: Grünebaum, Amos, Dudenhausen, Joachim, Chervenak, Frank A.
Formato: tables/charts Journal Article
Publicado: De Gruyter Jul2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Enhancing patient understanding in obstetrics: the role of generative AI in simplifying informed consent for labor induction with oxytocin.
      aug:
        au:
          Grünebaum, Amos
          Dudenhausen, Joachim
          Chervenak, Frank A.
        affil: Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
      sug:
        subj:
          Patient Education
          Health Knowledge
          Obstetrics Education
          Artificial Intelligence, Generative Utilization
          Labor, Induced
          Oxytocin Administration and Dosage
          Consent (Research)
          Obstetric Care Education
          Patient Care
          Readability
          Diffusion of Innovation
          Patient Satisfaction
          Decision Making, Patient
          Patient Centered Care
      ab: Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where procedures like labor induction carry significant risks and require clear patient understanding. Despite legal mandates for patient materials to be accessible, many consent forms remain too complex, resulting in patient confusion and dissatisfaction. This study explores the use of Generative Artificial Intelligence (GAI) to simplify informed consent for labor induction with oxytocin, ensuring content is both medically accurate and comprehensible at an 8th-grade readability level. GAI-generated consent forms streamline the process, automatically tailoring content to meet readability standards while retaining essential details such as the procedure's nature, risks, benefits, and alternatives. Through iterative prompts and expert refinement, the AI produces clear, patient-friendly language that bridges the gap between medical jargon and patient comprehension. Flesch Reading Ease scores show improved readability, meeting recommended levels for health literacy. GAI has the potential to revolutionize healthcare communication by enhancing patient understanding, promoting shared decision-making, and improving satisfaction with the consent process. However, human oversight remains critical to ensure that AI-generated content adheres to legal and ethical standards. This case study demonstrates that GAI can be an effective tool in creating accessible, standardized, yet personalized consent documents, contributing to better-informed patients and potentially reducing malpractice claims.
      pubtype: Academic Journal
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        tables/charts
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    language: English
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