A Standard Framework for Evaluating Large Health Care Data and Related Resources.

Q1 Medicine MMWR supplements Pub Date : 2024-05-09 DOI:10.15585/mmwr.su7303a1
Suad El Burai Felix, Hussain Yusuf, Matthew Ritchey, Sebastian Romano, Gonza Namulanda, Natalie Wilkins, Tegan K Boehmer
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Abstract

Since 2000, the availability and use of large health care data and related resources for conducting surveillance, research, and evaluations to guide clinical and public health decision-making has increased rapidly. these trends have been related to transformations in health care information technology and public as well as private-sector efforts for collecting, compiling, and supplying large volumes of data. this growing collection of robust and often timely data has enhanced the capability to increase the knowledge base guiding clinical and public health activities and also has increased the need for effective tools to assess the attributes of these resources and identify the types of scientific questions they are best suited to address. this: MMWR supplement presents a standard framework for evaluating large health care data and related resources, including constructs, criteria, and tools that investigators and evaluators can apply and adapt.

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评估大型医疗数据和相关资源的标准框架。
自 2000 年以来,用于开展监测、研究和评估以指导临床和公共卫生决策的大型卫生保健数据及相关资源的可用性和使用量迅速增加。这些趋势与卫生保健信息技术的变革以及公共和私营部门在收集、汇编和提供大量数据方面所做的努力相关:MMWR 增补介绍了评估大型医疗保健数据和相关资源的标准框架,包括研究人员和评估人员可以应用和调整的结构、标准和工具。
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来源期刊
MMWR supplements
MMWR supplements Medicine-Medicine (all)
CiteScore
48.60
自引率
0.00%
发文量
8
期刊介绍: The Morbidity and Mortality Weekly Report (MMWR ) series is prepared by the Centers for Disease Control and Prevention (CDC). Often called “the voice of CDC,” the MMWR series is the agency’s primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominantly consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.
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