Implementing digital pathology: qualitative and financial insights from eight leading European laboratories.

IF 3.1 3区 医学 Q1 PATHOLOGY Virchows Archiv Pub Date : 2025-10-01 Epub Date: 2025-03-08 DOI:10.1007/s00428-025-04064-y
Xavier Matias-Guiu, Jordi Temprana-Salvador, Pablo Garcia Lopez, Solene-Florence Kammerer-Jacquet, Nathalie Rioux-Leclercq, David Clark, Christian M Schürch, Falko Fend, Sven Mattern, David Snead, Nicola Fusco, Elena Guerini-Rocco, Federico Rojo, Marie Brevet, Manuel Salto Tellez, Angelo Dei Tos, Thomas di Maio, Silvia Ramírez-Peinado, Elizabeth Sheppard, Huw Bannister, Anastasios Gkiokas, Mario Arpaia, Ons Ben Dhia, Nazario Martino
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Abstract

Digital Pathology (DP) revolutionizes the diagnostic workflow. Digitized scanned slides enhance operational efficiency by facilitating remote access, slide storage, reporting and automated AI image analysis, and enabling collaboration and research. However, substantial upfront and maintenance costs remain significant barriers to adoption. This study evaluates DP's financial and qualitative value, exploring whether the long-term financial benefits justify investments and addressing implementation challenges in large public and private European laboratory settings. A targeted literature review, semi-structured interviews, surveys, and a net present value (NPV) model were employed to assess DP's impact on clinical practice and laboratory financials. Qualitative findings validate the key benefits of DP, including optimized workflow, enhanced logistics, and improved laboratory organization. Pathologists reported a smooth integration, improved training, teaching, and research capabilities, and increased flexibility through remote work. Collaboration within multidisciplinary teams was strengthened, while case examination efficiency and access to archival slides were notably improved. Quantitative results indicate that DP demonstrates strong financial potential, achieving cost recovery within 6 years. DP investment results in a 7-year NPV of + €0.21 million (m) driven by increased productivity and diagnosis volumes. Although the high upfront costs for scanners, training, and system integration pose a significant barrier to the adoption of DP, larger institutions are better positioned to leverage economies of scale. This study underscores the importance of sustained financial support to cope with the initial investment and regional collaboration in driving widespread adoption of DP. Expanding reimbursement policies for pathology procedures could significantly reduce financial barriers.

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实施数字病理学:来自八个领先的欧洲实验室的定性和财务见解。
数字病理学(DP)彻底改变了诊断工作流程。数字化扫描的幻灯片通过促进远程访问、幻灯片存储、报告和自动人工智能图像分析,以及促进协作和研究,提高了操作效率。然而,大量的前期和维护成本仍然是采用的重大障碍。本研究评估了DP的财务和质量价值,探讨了长期财务效益是否证明投资是合理的,并解决了在大型公共和私人欧洲实验室环境中实施的挑战。采用有针对性的文献综述、半结构化访谈、调查和净现值(NPV)模型来评估DP对临床实践和实验室财务的影响。定性研究结果验证了DP的主要好处,包括优化的工作流程、增强的物流和改进的实验室组织。病理学家报告了顺利的整合,改进了培训、教学和研究能力,并通过远程工作增加了灵活性。多学科小组之间的协作得到加强,病例检查效率和获取档案幻灯片的机会显著提高。定量结果表明,DP具有强大的财务潜力,可在6年内实现成本回收。由于生产力和诊断量的提高,DP投资的7年净现值为21万欧元。尽管扫描仪、培训和系统集成的高昂前期成本对DP的采用构成了重大障碍,但大型机构能够更好地利用规模经济。这项研究强调了持续财政支持的重要性,以应付初期投资和区域合作,以推动DP的广泛采用。扩大病理手术的报销政策可以显著减少财务障碍。
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来源期刊
Virchows Archiv
Virchows Archiv 医学-病理学
CiteScore
7.40
自引率
2.90%
发文量
204
审稿时长
4-8 weeks
期刊介绍: Manuscripts of original studies reinforcing the evidence base of modern diagnostic pathology, using immunocytochemical, molecular and ultrastructural techniques, will be welcomed. In addition, papers on critical evaluation of diagnostic criteria but also broadsheets and guidelines with a solid evidence base will be considered. Consideration will also be given to reports of work in other fields relevant to the understanding of human pathology as well as manuscripts on the application of new methods and techniques in pathology. Submission of purely experimental articles is discouraged but manuscripts on experimental work applicable to diagnostic pathology are welcomed. Biomarker studies are welcomed but need to abide by strict rules (e.g. REMARK) of adequate sample size and relevant marker choice. Single marker studies on limited patient series without validated application will as a rule not be considered. Case reports will only be considered when they provide substantial new information with an impact on understanding disease or diagnostic practice.
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