{"title":"产科超声波培训的创新。","authors":"Agnes Wittek, Brigitte Strizek, Florian Recker","doi":"10.1007/s00404-024-07777-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Ultrasound technology is critical in obstetrics, enabling detailed examination of the fetus and maternal anatomy. However, increasing complexity demands specialised training to maximise its potential. This study explores innovative approaches to ultrasound training in obstetrics, focussing on enhancing diagnostic skills and patient safety.</p><p><strong>Methods: </strong>This review examines recent innovations in ultrasound training, including competency-based medical education (CBME), simulation technologies, technology-based resources, artificial intelligence (AI), and online-learning platforms. Traditional training methods such as theoretical learning, practical experience, and peer learning are also discussed to provide a comprehensive view of current practises.</p><p><strong>Results: </strong>Innovations in ultrasound training include the use of high-fidelity simulators, virtual reality (VR), augmented reality (AR), and hybrid-learning platforms. Simulation technologies offer reproducibility, risk-free learning, diverse scenarios, and immediate feedback. AI and machine learning facilitate personalised-learning paths, real-time feedback, and automated-image analysis. Online-learning platforms and e-learning methods provide flexible, accessible, and cost-effective education. Gamification enhances learning motivation and engagement through educational games and virtual competitions.</p><p><strong>Discussion: </strong>The integration of innovative technologies in ultrasound training significantly improves diagnostic skills, learner confidence, and patient safety. However, challenges such as high costs, the need for comprehensive instructor training, and integration into existing programs must be addressed. Standardisation and certification ensure high-quality and consistent training. Future developments in AI, VR, and 3D printing promise further advancements in ultrasound education.</p><p><strong>Conclusion: </strong>Innovations in ultrasound training in obstetrics offer significant improvements in medical education and patient care. The successful implementation and continuous development of these technologies are crucial to meet the growing demands of modern obstetrics.</p>","PeriodicalId":8330,"journal":{"name":"Archives of Gynecology and Obstetrics","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovations in ultrasound training in obstetrics.\",\"authors\":\"Agnes Wittek, Brigitte Strizek, Florian Recker\",\"doi\":\"10.1007/s00404-024-07777-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Ultrasound technology is critical in obstetrics, enabling detailed examination of the fetus and maternal anatomy. However, increasing complexity demands specialised training to maximise its potential. This study explores innovative approaches to ultrasound training in obstetrics, focussing on enhancing diagnostic skills and patient safety.</p><p><strong>Methods: </strong>This review examines recent innovations in ultrasound training, including competency-based medical education (CBME), simulation technologies, technology-based resources, artificial intelligence (AI), and online-learning platforms. Traditional training methods such as theoretical learning, practical experience, and peer learning are also discussed to provide a comprehensive view of current practises.</p><p><strong>Results: </strong>Innovations in ultrasound training include the use of high-fidelity simulators, virtual reality (VR), augmented reality (AR), and hybrid-learning platforms. Simulation technologies offer reproducibility, risk-free learning, diverse scenarios, and immediate feedback. AI and machine learning facilitate personalised-learning paths, real-time feedback, and automated-image analysis. Online-learning platforms and e-learning methods provide flexible, accessible, and cost-effective education. Gamification enhances learning motivation and engagement through educational games and virtual competitions.</p><p><strong>Discussion: </strong>The integration of innovative technologies in ultrasound training significantly improves diagnostic skills, learner confidence, and patient safety. However, challenges such as high costs, the need for comprehensive instructor training, and integration into existing programs must be addressed. Standardisation and certification ensure high-quality and consistent training. Future developments in AI, VR, and 3D printing promise further advancements in ultrasound education.</p><p><strong>Conclusion: </strong>Innovations in ultrasound training in obstetrics offer significant improvements in medical education and patient care. 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引用次数: 0
摘要
简介超声技术在产科中至关重要,可对胎儿和产妇的解剖结构进行详细检查。然而,由于其复杂性不断增加,需要进行专门培训才能最大限度地发挥其潜力。本研究探讨了产科超声培训的创新方法,重点是提高诊断技能和患者安全:本综述探讨了超声培训领域的最新创新,包括基于能力的医学教育(CBME)、模拟技术、基于技术的资源、人工智能(AI)和在线学习平台。此外,还讨论了理论学习、实践经验和同伴学习等传统培训方法,以全面了解当前的做法:超声波培训的创新包括使用高保真模拟器、虚拟现实(VR)、增强现实(AR)和混合学习平台。模拟技术具有可重复性、无风险学习、场景多样化和即时反馈等特点。人工智能和机器学习为个性化学习路径、实时反馈和自动图像分析提供了便利。在线学习平台和电子学习方法提供了灵活、便捷、经济的教育方式。游戏化通过教育游戏和虚拟竞赛提高了学习动力和参与度:将创新技术融入超声波培训可显著提高诊断技能、增强学习者的信心和患者安全。然而,必须解决高成本、需要对讲师进行全面培训以及与现有课程整合等挑战。标准化和认证可确保培训的高质量和一致性。人工智能、VR 和 3D 打印技术的未来发展有望进一步推动超声教育的进步:产科超声培训的创新极大地改善了医学教育和患者护理。这些技术的成功实施和持续发展对于满足现代产科日益增长的需求至关重要。
Introduction: Ultrasound technology is critical in obstetrics, enabling detailed examination of the fetus and maternal anatomy. However, increasing complexity demands specialised training to maximise its potential. This study explores innovative approaches to ultrasound training in obstetrics, focussing on enhancing diagnostic skills and patient safety.
Methods: This review examines recent innovations in ultrasound training, including competency-based medical education (CBME), simulation technologies, technology-based resources, artificial intelligence (AI), and online-learning platforms. Traditional training methods such as theoretical learning, practical experience, and peer learning are also discussed to provide a comprehensive view of current practises.
Results: Innovations in ultrasound training include the use of high-fidelity simulators, virtual reality (VR), augmented reality (AR), and hybrid-learning platforms. Simulation technologies offer reproducibility, risk-free learning, diverse scenarios, and immediate feedback. AI and machine learning facilitate personalised-learning paths, real-time feedback, and automated-image analysis. Online-learning platforms and e-learning methods provide flexible, accessible, and cost-effective education. Gamification enhances learning motivation and engagement through educational games and virtual competitions.
Discussion: The integration of innovative technologies in ultrasound training significantly improves diagnostic skills, learner confidence, and patient safety. However, challenges such as high costs, the need for comprehensive instructor training, and integration into existing programs must be addressed. Standardisation and certification ensure high-quality and consistent training. Future developments in AI, VR, and 3D printing promise further advancements in ultrasound education.
Conclusion: Innovations in ultrasound training in obstetrics offer significant improvements in medical education and patient care. The successful implementation and continuous development of these technologies are crucial to meet the growing demands of modern obstetrics.
期刊介绍:
Founded in 1870 as "Archiv für Gynaekologie", Archives of Gynecology and Obstetrics has a long and outstanding tradition. Since 1922 the journal has been the Organ of the Deutsche Gesellschaft für Gynäkologie und Geburtshilfe. "The Archives of Gynecology and Obstetrics" is circulated in over 40 countries world wide and is indexed in "PubMed/Medline" and "Science Citation Index Expanded/Journal Citation Report".
The journal publishes invited and submitted reviews; peer-reviewed original articles about clinical topics and basic research as well as news and views and guidelines and position statements from all sub-specialties in gynecology and obstetrics.