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数字癌症护理与改善护理质量的愿景

Digital Cancer Care and the Vision for Transforming the Quality of Care.

作者信息

Nelson Heidi, Chan Kelley, Palis Bryan E

机构信息

Emeritus, Department of Surgery, Mayo Clinic, Rochester, Minnesota.

Department of Surgery, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois.

出版信息

J Registry Manag. 2024 Fall;51(3):104-108.

Abstract

National efforts are underway to build a digital health system that can deliver existing knowledge real-time to increase evidence-based clinical decision-making and provide continuous learning models to reduce clinical errors. Electronic medical records and health information exchanges are increasing access to medical records for patients, professionals, and health systems. A next step will be to develop decision-support models with high-quality data from the clinical record. Patient findings that contribute to creating a diagnosis and a therapeutic plan-as well as all relevant outcomes measuring success or failure of such plans-need to be readily available as data to inform models. Registrars have been turning clinical narratives into high-quality standardized and structured data to monitor cancer trends for decades. Despite great success, it would be costly to scale this human-dependent process to include abstraction of all clinical and laboratory findings in real-time. Efforts to structure data after the fact using natural language processing have yielded mixed results. This article posits that cancer registrar professionals might play a new role in advising and assisting in the creation of novel approaches to abstracting high-quality clinical data. This would include building and auditing more standardized and structured clinical records, such as synoptic reports. Furthermore, in the absence of a single, comprehensive national patient registry, cancer registries are probably most qualified to take on the challenge of collecting, storing, and reporting all the additional clinical and biologic cancer data needed to build models that inform individual care and improve the overall quality of care. Improving the quality of patient care is the imperative behind national digital health care efforts. High-quality comprehensive cancer data will be a cornerstone to the success of this effort in oncology. Cancer registries and cancer registrar professionals have a lot to offer in the efforts to close the quality gaps in oncology care.

摘要

各国正在努力建设一个数字健康系统,该系统能够实时提供现有知识,以加强基于证据的临床决策,并提供持续学习模型以减少临床错误。电子病历和健康信息交换正在增加患者、专业人员和卫生系统对医疗记录的访问。下一步将是利用临床记录中的高质量数据开发决策支持模型。有助于做出诊断和制定治疗计划的患者检查结果,以及衡量此类计划成败的所有相关结果,都需要作为数据随时可用,以为模型提供信息。几十年来,登记员一直在将临床叙述转化为高质量的标准化和结构化数据,以监测癌症趋势。尽管取得了巨大成功,但将这个依赖人力的过程扩展到实时提取所有临床和实验室检查结果的成本将很高。利用自然语言处理在事后对数据进行结构化的努力取得了喜忧参半的结果。本文认为,癌症登记专业人员可能在建议和协助创建提取高质量临床数据的新方法方面发挥新作用。这将包括建立和审核更标准化、结构化的临床记录,如概要报告。此外,在没有单一的、全面的国家患者登记系统的情况下,癌症登记处可能最有资格应对收集、存储和报告构建为个体护理提供信息并提高整体护理质量的模型所需的所有额外临床和生物癌症数据的挑战。提高患者护理质量是国家数字医疗保健努力背后的当务之急。高质量的综合癌症数据将是肿瘤学领域这项工作取得成功的基石。癌症登记处和癌症登记专业人员在缩小肿瘤学护理质量差距的努力中可以发挥很大作用。

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