Pathology in motion: Automation from specimen to report

IF 5.6 2区 医学 Q1 HEMATOLOGY
Vincenzo L’Imperio , Angelo Paolo Dei Tos , Maurizio Carbone , Umberto Malapelle , Claudio Bellevicine , Giancarlo Troncone , Pasquale Pisapia , Stefano Marletta , Matteo Brunelli , Aldo Scarpa , Stefano Grassi , Giorgio Cazzaniga , Fabio Pagni , Albino Eccher
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引用次数: 0

Abstract

Pathology laboratories are increasingly strained by rising diagnostic demand, greater case complexity, and limited staffing. Manual, analog workflows continue to dominate, yet they are time-consuming, prone to error, and contribute to inefficiency and staff burnout. Automation has been proposed as a strategy to address these challenges and improve sustainability. We reviewed current automation solutions available for key phases of the pathology workflow, including grossing, labeling, processing, embedding, microtomy, and archiving. Data were compared against estimates from traditional manual workflows to highlight potential gains in efficiency, accuracy, and traceability. Automation was shown to improve both efficiency and reliability across multiple stages. Advanced processing systems, such as microwave-assisted and ultrasound-based instruments, allowed faster turnaround with better tissue preservation. Embedding automation reduced operator time by more than 50%, sparing up to 40 working days annually. Automated microtomes cut sectioning times nearly in half, saving up to 470 h per year, though adoption remains limited by high cost and a slow return on investment. Automated archival systems decreased manual handling by approximately 550 h per year, while also ensuring controlled storage conditions and improved sample tracking. Automation offers clear benefits for standardization, efficiency, and diagnostic safety, while allowing staff to focus on higher-value activities. However, high implementation costs, infrastructural demands, and incomplete coverage of specialized needs remain barriers. Despite these limitations, automation represents a critical pathway toward resilient and future-ready pathology services.
运动中的病理学:从标本到报告的自动化
病理实验室越来越紧张的诊断需求,更大的病例复杂性,和有限的人员配备。手动的、模拟的工作流程继续占据主导地位,但它们很耗时,容易出错,并导致效率低下和员工倦怠。自动化已被提出作为应对这些挑战和提高可持续性的战略。我们回顾了目前可用于病理工作流程关键阶段的自动化解决方案,包括总收入、标记、处理、嵌入、切片和存档。将数据与来自传统手工工作流的估计进行比较,以突出在效率、准确性和可追溯性方面的潜在收益。自动化被证明可以提高多个阶段的效率和可靠性。先进的处理系统,如微波辅助和超声波仪器,可以更快地周转,更好地保存组织。嵌入自动化将操作员的时间减少了50%以上,每年节省多达40个工作日。自动化显微切片机将切片时间缩短了近一半,每年可节省高达470 小时的成本,但由于成本高和投资回报慢,其采用仍然受到限制。自动化档案系统每年减少了大约550 h的人工处理,同时还确保了受控的存储条件和改进的样品跟踪。自动化为标准化、效率和诊断安全性提供了明显的好处,同时允许员工专注于更高价值的活动。然而,高昂的实施成本、基础设施需求和专门需求的不完全覆盖仍然是障碍。尽管存在这些限制,自动化仍然是实现弹性和面向未来的病理服务的关键途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.00
自引率
3.20%
发文量
213
审稿时长
55 days
期刊介绍: Critical Reviews in Oncology/Hematology publishes scholarly, critical reviews in all fields of oncology and hematology written by experts from around the world. Critical Reviews in Oncology/Hematology is the Official Journal of the European School of Oncology (ESO) and the International Society of Liquid Biopsy.
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