数据驱动的碎片整理:通过综合护理路径映射实现基于价值的肉瘤和罕见癌症治疗。

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Bruno Fuchs, Philip Heesen
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引用次数: 0

摘要

肉瘤是一种罕见而复杂的癌症,需要在多个医疗机构中进行多学科治疗,这往往导致延误、冗余测试和数据碎片化。这种支离破碎的护理环境阻碍了基于价值的医疗保健(VBHC)的实施,在这种情况下,护理效率与可衡量的患者结果相关联。ShapeHub是一个可互操作的数字平台,旨在通过集中供应商之间的患者数据来简化肉瘤治疗,类似于在每个交付阶段跟踪物品的物流系统。ShapeHub将诊断、治疗记录和专家咨询整合到一个统一的数据集中,所有护理提供者都可以访问,从而实现及时决策并减少诊断延误。在瑞士肉瘤网络的一个案例研究中,ShapeHub显示出了实质性的影响,改善了诊断途径,减少了计划外手术,并优化了放疗方案。通过人工智能驱动的自然语言处理、快速医疗保健互操作性资源和健康信息交换(HIEs),该平台将非结构化记录转换为实时、可操作的见解,从而增强多学科协作和临床结果。通过识别冗余,ShapeHub还有助于提高成本效率,对各机构的治疗成本进行基准测试,并优化护理途径。这种数据驱动的方法为精准医疗应用(包括数字孪生技术)奠定了基础,以预测治疗反应和个性化护理计划。ShapeHub提供了一个可扩展的模型,用于管理罕见癌症和复杂疾病,协调护理途径,提高精确肿瘤学,并将VBHC转化为现实。本文概述了ShapeHub在克服碎片化数据障碍和改善以患者为中心的护理方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple healthcare settings, often leading to delays, redundant testing, and fragmented data. This fragmented care landscape obstructs the implementation of Value-Based Healthcare (VBHC), where care efficiency is tied to measurable patient outcomes.ShapeHub, an interoperable digital platform, aims to streamline sarcoma care by centralizing patient data across providers, akin to a logistics system tracking an item through each stage of delivery. ShapeHub integrates diagnostics, treatment records, and specialist consultations into a unified dataset accessible to all care providers, enabling timely decision-making and reducing diagnostic delays. In a case study within the Swiss Sarcoma Network, ShapeHub has shown substantial impact, improving diagnostic pathways, reducing unplanned surgeries, and optimizing radiotherapy protocols. Through AI-driven natural language processing, Fast Healthcare Interoperability Resources, and Health Information Exchanges, HIEs, the platform transforms unstructured records into real-time, actionable insights, enhancing multidisciplinary collaboration and clinical outcomes. By identifying redundancies, ShapeHub also contributes to cost efficiency, benchmarking treatment costs across institutions and optimizing care pathways. This data-driven approach creates a foundation for precision medicine applications, including digital twin technology, to predict treatment responses and personalize care plans. ShapeHub offers a scalable model for managing rare cancers and complex diseases, harmonizing care pathways, improving precision oncology, and transforming VBHC into a reality. This article outlines the potential of ShapeHub to overcome fragmented data barriers and improve patient-centered care.

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来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
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