利用共同创造方法加强诊断创新

Q2 Medicine
Jochen K. Lennerz , Alexandra Farfsing , Tim-Rasmus Kiehl , Sven Perner , Joost van Duuren , Marleen Christ , Jan W. Farfsing
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引用次数: 0

摘要

精准诊断领域的数字创新需要解决实施、采用、公平和可持续性等复杂挑战。本研究引入了一个共同创造框架,利用竞争前空间来推动个性化诊断的协同创新。5年来,一个由计算病理学、肿瘤学、遗传学、数字医学和工业界的利益相关者组成的多学科社区参与了设计思维研讨会,以确定未满足的医疗需求并共同制定解决方案。这些努力导致了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。共同创造的方法促进了战略协调、社区建设和不同观点的整合,产生了有形的产出(数据集、出版物和资源)和无形的利益(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保健提供可扩展的模型。共同创造解决了跨学科的孤岛问题,促进了以患者为中心的解决方案,并适应了不断变化的监管环境,使其成为有影响力的医疗保健转型的催化剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing diagnostic innovation by leveraging the co-creation approach
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.
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来源期刊
Journal of Pathology Informatics
Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
18 weeks
期刊介绍: The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.
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