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在放射肿瘤学中进行实用大数据工作的绩效/结果数据和医师流程挑战。

Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology.

机构信息

University of Michigan, Ann Arbor, MI, USA.

MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Med Phys. 2018 Oct;45(10):e811-e819. doi: 10.1002/mp.13136. Epub 2018 Sep 19.

DOI:10.1002/mp.13136
PMID:30229946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679351/
Abstract

It is an exciting time for big data efforts in radiation oncology. The use of big data to help aid both outcomes and decision-making research is becoming a reality. However, there are true challenges that exist in the space of gathering and utilizing performance and outcomes data. Here, we summarize the current state of big data in radiation oncology with respect to outcomes and discuss some of the efforts and challenges in radiation oncology big data.

摘要

大数据在放射肿瘤学领域的应用正处于令人兴奋的时期。利用大数据来帮助辅助结果和决策研究正成为现实。然而,在收集和利用绩效和结果数据方面确实存在挑战。在这里,我们总结了放射肿瘤学中与结果相关的大数据的现状,并讨论了放射肿瘤学大数据中的一些努力和挑战。

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本文引用的文献

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Cost of Acute and Follow-Up Care in Patients With Pre-Existing Psychiatric Diagnoses Undergoing Radiation Therapy.有预先存在的精神诊断的接受放射治疗的患者的急性和后续治疗费用。
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