使用国际标准的医院工作流程自动化：影像检查的案例研究

IF 4.9 2区医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer methods and programs in biomedicine Pub Date : 2025-04-13 DOI:10.1016/j.cmpb.2025.108777

Cristiana Neto, Francini Hak, Diana Ferreira, António Abelha, José Machado

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引用次数: 0

摘要

医院工作流程自动化在现代医疗保健系统中具有至关重要的意义。通过简化复杂的流程，可以提高操作效率和患者护理。与开放标准（如openEHR）保持一致的自动化工作流可以在医疗保健专业人员之间实现准确的数据捕获、无缝通信和及时的任务执行。这减少了错误，改善了患者的预后，并优化了资源利用。目的：本研究旨在通过实施临床标准，通过改进葡萄牙医院的医学成像检查电路，提高医疗工作流程自动化方面的知识。具体来说，该研究探讨了openEHR规范，特别是任务规划组件，如何应用于简化工作流程和增强互操作性。方法采用个案研究设计对葡萄牙某医院的影像学检查电路进行考察，详细观察系统的实施情况及其效果。重点是实现openEHR的任务规划规范，以及表单和决策规则，以实现全面的工作流自动化。结果：在实施后，分析了来自6800多个影像学检查请求的数据，表明卫生专业人员愿意采用自动化工具。外包管理的等待时间显著减少，与2019年相比，2022年的平均等待天数更少。本研究展示了一种使用openEHR规范实现结构化数据生成自动化过程的成像检查工作流程新方法的发展。作者认为，开发的系统代表了从高质量和结构化数据的注册表中高效发现知识的重要一步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Automation of hospital workflows using international standards: A case study with imaging exams

Background

Hospital workflow automation holds paramount importance in modern healthcare systems. By streamlining complex processes, it is possible to enhance operational efficiency and patient care. Automated workflows aligned with open standards, such as openEHR, enable accurate data capture, seamless communication, and timely task execution among healthcare professionals. This leads to reduced errors, improved patient outcomes, and optimized resource utilization.

Objective

This study aims to advance knowledge in healthcare workflow automation by improving a Portuguese hospital's medical imaging exams circuit through the implementation of clinical standards. Specifically, the study explores how openEHR specifications, particularly the Task Planning component, can be applied to streamline workflows and enhance interoperability.

Methods

A case study research design was selected to examine the imaging exams circuit in a Portuguese hospital, enabling detailed observation of system implementation and its effects. The focus was on implementing openEHR's Task Planning specification, along with forms and decision rules, to achieve comprehensive workflow automation.

Results

Following implementation, data from over 6800 imaging exam requests were analyzed, demonstrating health professionals' willingness to adopt the automated tools. A significant reduction in waiting times for outsourcing management was observed, with fewer waiting days on average in 2022 compared to 2019.

Conclusion

This study shows the development of a new approach to the imaging exams workflow using the openEHR specifications achieving an automated process with structured data generation. The authors believe that the developed system represents an important step towards efficient knowledge discovery from the registry of high-quality and structured data.

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来源期刊

Computer methods and programs in biomedicine 工程技术-工程：生物医学

CiteScore

12.30

自引率

6.60%

发文量

601

审稿时长

135 days

期刊介绍： To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.