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...
| Publicado en: | Journal of Perinatal Medicine Vol. 53; no. 6; pp. 688 - 696 |
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| Autores principales: | , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
De Gruyter
Jul2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186334646&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186334646 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03005577 0FP jtl: Journal of Perinatal Medicine issn: 03005577 maglogo: N pubinfo: dt: Jul2025 vid: 53 iid: 6 pid: 1734 pub: De Gruyter place: , <Blank> artinfo: ui: 186334646 180514759 186334646 186334646 10.1515/jpm-2024-0428 186334646 ppf: 688 ppct: 8 formats: tig: 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 doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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