• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数字手术潜在价值的国际共识小组

An international consensus panel on the potential value of Digital Surgery.

机构信息

Market Access, Alira Health, Boston, Massachusetts, USA

Erasmus School of Health Policy and Management, National Health Care Institute, Rotterdam, The Netherlands.

出版信息

BMJ Open. 2024 Sep 5;14(9):e082875. doi: 10.1136/bmjopen-2023-082875.

DOI:10.1136/bmjopen-2023-082875
PMID:39242163
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11381694/
Abstract

OBJECTIVES

The use of digital technology in surgery is increasing rapidly, with a wide array of new applications from presurgical planning to postsurgical performance assessment. Understanding the clinical and economic value of these technologies is vital for making appropriate health policy and purchasing decisions. We explore the potential value of digital technologies in surgery and produce expert consensus on how to assess this value.

DESIGN

A modified Delphi and consensus conference approach was adopted. Delphi rounds were used to generate priority topics and consensus statements for discussion.

SETTING AND PARTICIPANTS

An international panel of 14 experts was assembled, representing relevant stakeholder groups: clinicians, health economists, health technology assessment experts, policy-makers and industry.

PRIMARY AND SECONDARY OUTCOME MEASURES

A scoping questionnaire was used to generate research questions to be answered. A second questionnaire was used to rate the importance of these research questions. A final questionnaire was used to generate statements for discussion during three consensus conferences. After discussion, the panel voted on their level of agreement from 1 to 9; where 1=strongly disagree and 9=strongly agree. Consensus was defined as a mean level of agreement of >7.

RESULTS

Four priority topics were identified: (1) how data are used in digital surgery, (2) the existing evidence base for digital surgical technologies, (3) how digital technologies may assist surgical training and education and (4) methods for the assessment of these technologies. Seven consensus statements were generated and refined, with the final level of consensus ranging from 7.1 to 8.6.

CONCLUSION

Potential benefits of digital technologies in surgery include reducing unwarranted variation in surgical practice, increasing access to surgery and reducing health inequalities. Assessments to consider the value of the entire surgical ecosystem holistically are critical, especially as many digital technologies are likely to interact simultaneously in the operating theatre.

摘要

目的

手术中数字技术的使用正在迅速增加,从术前规划到术后绩效评估,新应用层出不穷。了解这些技术的临床和经济价值对于制定适当的卫生政策和采购决策至关重要。我们探讨了数字技术在手术中的潜在价值,并就如何评估这种价值达成了专家共识。

设计

采用改良 Delphi 法和共识会议方法。Delphi 轮次用于生成优先主题和共识声明,以供讨论。

设置和参与者

国际专家小组由 14 名代表相关利益相关者群体的专家组成:临床医生、卫生经济学家、卫生技术评估专家、政策制定者和行业。

主要和次要结果

使用范围界定问卷生成要回答的研究问题。第二个问卷用于评估这些研究问题的重要性。第三个问卷用于生成在三次共识会议期间讨论的声明。讨论后,小组对其从 1 到 9 的同意程度进行投票;其中 1 表示强烈不同意,9 表示强烈同意。共识定义为>7 的平均同意水平。

结果

确定了四个优先主题:(1)数字手术中数据的使用方式,(2)数字外科技术的现有证据基础,(3)数字技术如何协助外科培训和教育,以及(4)评估这些技术的方法。生成并完善了七个共识声明,最终的共识水平从 7.1 到 8.6 不等。

结论

数字技术在手术中的潜在益处包括减少手术实践中的不必要差异、增加手术机会和减少健康不平等。评估整个手术生态系统的价值至关重要,特别是因为许多数字技术可能会同时在手术室中相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aceb/11381694/4c2aa1b114a1/bmjopen-14-9-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aceb/11381694/4c2aa1b114a1/bmjopen-14-9-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aceb/11381694/4c2aa1b114a1/bmjopen-14-9-g001.jpg

相似文献

1
An international consensus panel on the potential value of Digital Surgery.数字手术潜在价值的国际共识小组
BMJ Open. 2024 Sep 5;14(9):e082875. doi: 10.1136/bmjopen-2023-082875.
2
A Delphi consensus statement for digital surgery.数字外科学德尔菲共识声明。
NPJ Digit Med. 2022 Jul 19;5(1):100. doi: 10.1038/s41746-022-00641-6.
3
Assessing the Value of Provider-Facing Digital Health Technologies Used in Chronic Disease Management: Toward a Value Framework Based on Multistakeholder Perceptions.评估用于慢性病管理的面向提供者的数字健康技术的价值:基于多利益相关者感知的价值框架。
Med Decis Making. 2024 Jan;44(1):28-41. doi: 10.1177/0272989X231206803. Epub 2023 Oct 26.
4
360-degree Delphi: addressing sociotechnical challenges of healthcare IT.360 度德尔菲法:应对医疗信息技术的社会技术挑战。
BMC Med Inform Decis Mak. 2020 Jun 5;20(1):101. doi: 10.1186/s12911-020-1071-x.
5
Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.制定德尔菲专家共识规则,用于神经重症监护病房急性脑卒中护理的数字孪生模型。
BMC Neurol. 2023 Apr 22;23(1):161. doi: 10.1186/s12883-023-03192-9.
6
International consensus recommendations for the optimal prioritisation and distribution of surgical services in low-income and middle-income countries: a modified Delphi process.国际共识建议:优化中低收入国家的手术服务优先级和分配:改良 Delphi 法。
BMJ Open. 2023 Jan 24;13(1):e062687. doi: 10.1136/bmjopen-2022-062687.
7
Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study.对 COVID-19 大流行期间在马拉维部署的 3 种数字监测工具的开发、实施、维护及影响的评估:一项改良德尔菲专家共识研究方案
JMIR Res Protoc. 2024 Dec 31;13:e58389. doi: 10.2196/58389.
8
Best practice considerations on the assessment of robotic assisted surgical systems: results from an international consensus expert panel.关于评估机器人辅助手术系统的最佳实践考虑因素:国际共识专家小组的结果。
Int J Technol Assess Health Care. 2023 Jun 5;39(1):e39. doi: 10.1017/S0266462323000314.
9
One step at a time. Shaping consensus on research priorities and terminology in telehealth in musculoskeletal pain: an international modified e-Delphi study.一步一个脚印。在肌肉骨骼疼痛的远程医疗研究重点和术语方面达成共识:一项国际改良电子德尔菲研究。
BMC Musculoskelet Disord. 2023 Oct 3;24(1):783. doi: 10.1186/s12891-023-06866-0.
10
Use of Bone Marrow Concentrate to Treat Pain and Musculoskeletal Disorders: An Academic Delphi Investigation.使用骨髓浓缩物治疗疼痛和肌肉骨骼疾病:一项学术德尔菲调查。
Pain Physician. 2021 May;24(3):263-273.

引用本文的文献

1
Development of a Digital Application Program Based on an Institutional Algorithm Sustaining the Decisional Process for Breast Reconstruction in Patients with Large and Ptotic Breasts: A Pilot Study.基于机构算法的数字应用程序的开发,该算法支持大乳房和下垂乳房患者乳房重建的决策过程:一项试点研究。
Cancers (Basel). 2025 May 28;17(11):1807. doi: 10.3390/cancers17111807.

本文引用的文献

1
Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review.数字健康技术在证据生成中的当前挑战与潜在解决方案:一项叙述性综述
Front Digit Health. 2023 Sep 28;5:1203945. doi: 10.3389/fdgth.2023.1203945. eCollection 2023.
2
Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home.设计自我追踪体验:一项关于在家中采用数字健康技术进行自动尿液分析的障碍和促进因素认知的定性研究。
PLOS Digit Health. 2023 Sep 15;2(9):e0000319. doi: 10.1371/journal.pdig.0000319. eCollection 2023 Sep.
3
Task-Based Objective Performance Indicators in Robotic Lobectomy Offer a Novel Avenue for Case Assessments.
机器人肺叶切除术中基于任务的客观性能指标为病例评估提供了一条新途径。
JAMA Surg. 2023 Oct 1;158(10):1103-1104. doi: 10.1001/jamasurg.2023.0363.
4
Best practice considerations on the assessment of robotic assisted surgical systems: results from an international consensus expert panel.关于评估机器人辅助手术系统的最佳实践考虑因素:国际共识专家小组的结果。
Int J Technol Assess Health Care. 2023 Jun 5;39(1):e39. doi: 10.1017/S0266462323000314.
5
Evaluation of remote digital postoperative wound monitoring in routine surgical practice.常规外科手术中远程数字术后伤口监测的评估
NPJ Digit Med. 2023 May 5;6(1):85. doi: 10.1038/s41746-023-00824-9.
6
Exploring the use of virtual reality in surgical education.探索虚拟现实在外科手术教育中的应用。
World J Transplant. 2023 Feb 18;13(2):36-43. doi: 10.5500/wjt.v13.i2.36.
7
Objective performance indicators of cardiothoracic residents are associated with vascular injury during robotic-assisted lobectomy on porcine models.心胸外科住院医师的客观绩效指标与猪模型机器人辅助肺叶切除术中的血管损伤相关。
J Robot Surg. 2023 Apr;17(2):669-676. doi: 10.1007/s11701-022-01476-9. Epub 2022 Oct 28.
8
A Delphi consensus statement for digital surgery.数字外科学德尔菲共识声明。
NPJ Digit Med. 2022 Jul 19;5(1):100. doi: 10.1038/s41746-022-00641-6.
9
Machine learning for technical skill assessment in surgery: a systematic review.用于外科手术技术技能评估的机器学习:一项系统综述。
NPJ Digit Med. 2022 Mar 3;5(1):24. doi: 10.1038/s41746-022-00566-0.
10
Telemedicine Applications in the Era of COVID-19: Telesurgery Issues.COVID-19时代的远程医疗应用:远程手术问题。
Int J Environ Res Public Health. 2021 Dec 29;19(1):323. doi: 10.3390/ijerph19010323.