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

Q4 Medicine
Journal of registry management Pub Date : 2024-01-01
Heidi Nelson, Kelley Chan, Bryan E Palis
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引用次数: 0

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.

数字化癌症护理和改变护理质量的愿景。
国家正在努力建立一个数字卫生系统,该系统可以实时提供现有知识,以增加循证临床决策,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增加了患者、专业人员和卫生系统对病历的访问。下一步将是利用来自临床记录的高质量数据开发决策支持模型。有助于制定诊断和治疗计划的患者发现——以及衡量这些计划成功或失败的所有相关结果——需要随时作为数据提供给模型。几十年来,注册商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。尽管取得了巨大的成功,但将这种依赖人类的过程扩展到包括所有临床和实验室结果的实时抽象将是昂贵的。事后使用自然语言处理构建数据的努力产生了不同的结果。这篇文章假设癌症注册专业人员可能在建议和协助创造新的方法来提取高质量的临床数据方面发挥新的作用。这将包括建立和审计更加标准化和结构化的临床记录,例如概要报告。此外,在缺乏单一、全面的国家患者登记的情况下,癌症登记可能最有资格承担收集、存储和报告所有额外的临床和生物癌症数据的挑战,这些数据需要建立模型,为个人护理提供信息,并提高整体护理质量。提高患者护理质量是国家数字医疗保健工作背后的当务之急。高质量的综合癌症数据将是这一努力在肿瘤学领域取得成功的基石。癌症登记处和癌症注册专业人员在努力缩小肿瘤护理的质量差距方面有很多可以提供的。
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
Journal of registry management
Journal of registry management Medicine-Medicine (all)
CiteScore
0.30
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0.00%
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0
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