• 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

通过利用共同创造方法增强诊断创新。

Enhancing diagnostic innovation by leveraging the co-creation approach.

作者信息

Lennerz Jochen K, Farfsing Alexandra, Kiehl Tim-Rasmus, Perner Sven, van Duuren Joost, Christ Marleen, Farfsing Jan W

机构信息

Boston Gene, Waltham, MA, USA.

Roche Diagnostics Deutschland GmbH, Mannheim, Germany.

出版信息

J Pathol Inform. 2025 Jul 3;18:100460. doi: 10.1016/j.jpi.2025.100460. eCollection 2025 Aug.

DOI:10.1016/j.jpi.2025.100460
PMID:40688394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12274866/
Abstract

Digital innovation in precision diagnostics requires addressing complex challenges, such as implementation, adoption, equity, and sustainability. This study introduces a co-creation framework that leverages the pre-competitive space to drive collaborative innovation in personalized diagnostics. Over 5 years, a multidisciplinary community of stakeholders from computational pathology, oncology, genetics, digital medicine, and industry engaged in design-thinking workshops to identify unmet medical needs and co-develop solutions. These efforts led to 15 pilot projects, with 7 successfully implemented, including an automated lab system enhancing workflow efficiency. The co-creation approach fostered strategic alignment, community building, and integration of diverse perspectives, resulting in tangible outputs (datasets, publications, and resources) and intangible benefits (networking, market insight). This framework demonstrates how collaborative ecosystems accelerate diagnostic innovations and offer a scalable model for advancing personalized healthcare. Co-creation addresses interdisciplinary silos, promotes patient-centered solutions, and adapts to evolving regulatory landscapes, making it a catalyst for impactful healthcare transformation.

摘要

精准诊断中的数字创新需要应对复杂的挑战,如实施、采用、公平性和可持续性。本研究引入了一个共同创造框架,该框架利用竞争前空间来推动个性化诊断中的合作创新。在5年多的时间里,来自计算病理学、肿瘤学、遗传学、数字医学和行业的多学科利益相关者群体参与了设计思维研讨会,以确定未满足的医疗需求并共同开发解决方案。这些努力促成了15个试点项目,其中7个成功实施,包括一个提高工作流程效率的自动化实验室系统。共同创造方法促进了战略协调、社区建设以及不同观点的整合,产生了切实的成果(数据集、出版物和资源)和无形的收益(网络、市场洞察力)。该框架展示了协作生态系统如何加速诊断创新,并为推进个性化医疗提供了一个可扩展的模式。共同创造消除了跨学科的壁垒,促进了以患者为中心的解决方案,并适应不断变化的监管环境,使其成为有影响力的医疗变革的催化剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e6/12274866/537f5b510c97/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e6/12274866/e52d0d887c9f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e6/12274866/537f5b510c97/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e6/12274866/e52d0d887c9f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e6/12274866/537f5b510c97/gr2.jpg

相似文献

1
Enhancing diagnostic innovation by leveraging the co-creation approach.通过利用共同创造方法增强诊断创新。
J Pathol Inform. 2025 Jul 3;18:100460. doi: 10.1016/j.jpi.2025.100460. eCollection 2025 Aug.
2
How to Implement Digital Clinical Consultations in UK Maternity Care: the ARM@DA Realist Review.如何在英国产科护理中实施数字临床会诊:ARM@DA实证主义综述
Health Soc Care Deliv Res. 2025 May 21:1-77. doi: 10.3310/WQFV7425.
3
Hail Lifestyle Medicine consensus position statement as a medical specialty: Middle Eastern perspective.欢呼将生活方式医学作为一门医学专业的共识立场声明:中东视角。
Front Public Health. 2025 Jun 20;13:1455871. doi: 10.3389/fpubh.2025.1455871. eCollection 2025.
4
Accreditation through the eyes of nurse managers: an infinite staircase or a phenomenon that evaporates like water.护士长眼中的认证:是无尽的阶梯还是如流水般消逝的现象。
J Health Organ Manag. 2025 Jun 30. doi: 10.1108/JHOM-01-2025-0029.
5
Establishing a Health CASCADE-Curated Open-Access Database to Consolidate Knowledge About Co-Creation: Novel Artificial Intelligence-Assisted Methodology Based on Systematic Reviews.建立一个健康 CASCADE 策划的开放获取数据库,以整合关于共同创造的知识:基于系统评价的新型人工智能辅助方法。
J Med Internet Res. 2023 Jul 18;25:e45059. doi: 10.2196/45059.
6
Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping Review.美国农村卫生人工智能研究的差距:一项范围综述
medRxiv. 2025 Jun 27:2025.06.26.25330361. doi: 10.1101/2025.06.26.25330361.
7
Co-creating mental health promotion and prevention interventions with groups in vulnerable situations in Europe: a mixed-methods study protocol for co-creation implementation and participatory evaluation.与欧洲弱势群体共同创建心理健康促进与预防干预措施:一项关于共同创建实施和参与性评估的混合方法研究方案
Health Res Policy Syst. 2025 Jul 1;23(1):87. doi: 10.1186/s12961-025-01349-1.
8
mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation.mindLAMPVis作为一个共同设计的面向临床医生的数据可视化门户,用于整合精神分裂症数字表型分析中的临床观察结果:以用户为中心的设计过程和试点实施。
JMIR Form Res. 2025 Jun 10;9:e70073. doi: 10.2196/70073.
9
Streamlining a Patchwork - Exploring the Challenges of Digital Transformation in Pathology: Ethnographic Study.简化拼凑之物——探索病理学数字转型的挑战:人种志研究
J Med Internet Res. 2025 Jul 18;27:e63366. doi: 10.2196/63366.
10
Integrating artificial intelligence in healthcare: applications, challenges, and future directions.将人工智能整合到医疗保健中:应用、挑战及未来方向。
Future Sci OA. 2025 Dec;11(1):2527505. doi: 10.1080/20565623.2025.2527505. Epub 2025 Jul 4.

本文引用的文献

1
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology.不断发展的人工智能和机器学习技术在精准肿瘤学中的融合。
NPJ Digit Med. 2025 Jan 31;8(1):75. doi: 10.1038/s41746-025-01471-y.
2
Key considerations when implementing new diagnostic technologies in routine practice.在日常实践中实施新诊断技术时的关键考虑因素。
Pathologie (Heidelb). 2024 Nov;45(Suppl 1):83-92. doi: 10.1007/s00292-024-01396-5. Epub 2024 Nov 21.
3
Wearable Devices: Implications for Precision Medicine and the Future of Health Care.
可穿戴设备:精准医学与未来医疗保健的影响。
Annu Rev Med. 2024 Jan 29;75:401-415. doi: 10.1146/annurev-med-052422-020437. Epub 2023 Nov 20.
4
Smartwatches in healthcare medicine: assistance and monitoring; a scoping review.智能手表在医疗保健领域的应用:辅助和监测;范围综述。
BMC Med Inform Decis Mak. 2023 Nov 3;23(1):248. doi: 10.1186/s12911-023-02350-w.
5
Cocreation to Facilitate Communication and Collaboration Between Multidisciplinary Stakeholders in eHealth Research and Development: Case Study of the CARRIER (Coronary Artery Disease: Risk Estimations and Interventions for Prevention and Early Detection) Consortium.共创促进电子健康研究与开发中的多学科利益相关者之间的沟通与协作:以 CARRIER(冠心病:预防和早期检测的风险评估和干预)联盟为例。
JMIR Hum Factors. 2023 Oct 24;10:e45006. doi: 10.2196/45006.
6
Multifaceted Role of Social Media in Healthcare: Opportunities, Challenges, and the Need for Quality Control.社交媒体在医疗保健中的多方面作用:机遇、挑战及质量控制需求
Cureus. 2023 May 16;15(5):e39111. doi: 10.7759/cureus.39111. eCollection 2023 May.
7
Biomarker-Driven Developments in the Context of the New Regulatory Framework for Companion Diagnostics in the European Union.在欧盟新的伴随诊断监管框架背景下的生物标志物驱动型开发。
Clin Pharmacol Ther. 2023 Aug;114(2):316-324. doi: 10.1002/cpt.2928. Epub 2023 May 25.
8
Patient Safety Issues From Information Overload in Electronic Medical Records.电子病历信息过载引发的患者安全问题。
J Patient Saf. 2022 Sep 1;18(6):e999-e1003. doi: 10.1097/PTS.0000000000001002. Epub 2022 Apr 7.
9
The uses of Patient Reported Experience Measures in health systems: A systematic narrative review.患者报告体验测量在卫生系统中的应用:系统叙述性综述
Health Policy. 2023 Feb;128:1-10. doi: 10.1016/j.healthpol.2022.07.008. Epub 2022 Jul 20.
10
Patient-reported outcome measures (PROMs): A review of generic and condition-specific measures and a discussion of trends and issues.患者报告结局测量(PROMs):通用和特定疾病测量工具的综述,以及对趋势和问题的讨论。
Health Expect. 2021 Aug;24(4):1015-1024. doi: 10.1111/hex.13254. Epub 2021 May 5.