医疗保健中的数字化知情同意:范围审查

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Mascha Goldschmitt, Patricia Gleim, Sekina Mandelartz, Philipp Kellmeyer, Thomas Rigotti
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引用次数: 0

摘要

背景:传统的基于纸张的医疗程序知情同意存在许多挑战,如可理解性低、缺乏定制化以及与医务人员讨论的时间有限。数字化,特别是考虑到基于人工智能的技术的快速发展,可以提供一个解决方案。方法:本综述探讨了同意过程的数字化,重点关注所使用的技术类型、它们在同意过程中的作用、评估结果和实施的成功因素。根据乔安娜布里格斯研究所(JBI)证据合成手册的指导,我们检索了各种数据库和平台(Web of Science, EBSCOHost, PubMed和PubPsych),以检索2012年1月至2024年6月间发表的符合条件的文章。结果:4287篇文献的标题和摘要筛选纳入了27篇研究进行分析。研究结果表明,数字化同意过程可以增强接受者对临床程序、潜在风险和益处以及替代治疗的理解。在患者满意度、便利性和感知压力方面存在着复杂的证据。对医疗保健专业人员的有限研究表明,节省时间是主要的好处。基于人工智能的技术似乎还不适合在没有医疗监督的情况下使用。结论:总体而言,很少有交互式技术在患者同意过程中得到评估,直到最近才有研究开始检查人工智能技术的使用。这表明,在医疗诊断和治疗方面,患者同意数字化尚处于早期阶段。然而,在优化患者和医疗保健专业人员的同意过程方面仍有很大的潜力。需要方法学上可靠的研究来验证这些发现。试验注册:该范围审查最初作为系统审查在PROSPERO (CRD42023397681)进行了预注册。更改范围审查的原因在注册中概述,同时保持系统的数据提取和分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digitalizing informed consent in healthcare: a scoping review.

Background: Traditional paper-based informed consent for medical procedures poses a number of challenges, such as low comprehensibility, lack of customization, and limited time for discussion with medical staff. Digitalization, especially in light of the rapid development of AI-based technologies, could provide a solution.

Methods: This scoping review explores the digitalization of the consent process, focusing on the types of technologies used, their role in the consent process, evaluation results, and success factors for implementation. Following the guidance of the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis for scoping reviews, we searched various databases and platforms (Web of Science, EBSCOHost, PubMed and PubPsych) for eligible articles published between January 2012 and June 2024.

Results: Title and abstract screening of 4287 records resulted in the inclusion of 27 studies for analysis. The findings suggest that digitalizing the consent process can enhance recipients' understanding of clinical procedures, potential risks and benefits, and alternative treatments. Mixed evidence exists on patient satisfaction, convenience, and perceived stress. The limited research on healthcare professionals indicates that time savings are the major benefit. AI-based technologies seem to be not yet suitable for use without medical oversight.

Conclusions: Overall, few interactive technologies have been evaluated in the patient consent process, and only recently have studies started to examine the use of AI technologies. This indicates an early stage of the digitalization of patient consent for medical diagnosis and treatment. However, there is great potential to optimize the consent process for both patients and healthcare professionals. Methodologically sound studies are needed to validate these findings.

Trial registration: The scoping review was initially preregistered with PROSPERO (CRD42023397681) as a systematic review. The reasons for the change to a scoping review are outlined in the registration, while the systematic approach to data extraction and analysis was maintained.

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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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