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10.1002/lrh2.10235 http://scihub22266oqcxt.onion/10.1002/lrh2.10235 C7323052!7323052!32838037     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Learn+Health+Syst 2021 ; 5 (1): ä Nephropedia Template TP {{tp|p=32838037|t=2021. Transmission dynamics: Data sharing in the COVID?19 era |pdf=|usr=}}{{32838037}} gab.com Text Transmission dynamics: Data sharing in the COVID 19 era JO: Learn Health Syst http://www.kidney.de/pget.php?&tw=1&pmid=32838037 #FOAvip Problem: The current coronavirus disease 2019 (COVID?19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a historical context of public health crises, data sharing agreements and transactional standards do not uniformly exist between institutions which hamper a foundational infrastructure to meet data sharing and integration needs for the advancement of public health. Approach: There is a growing need to apply population health knowledge with technological solutions to data transfer, integration, and reasoning, to improve health in a broader learning health system ecosystem. To achieve this, data must be combined from healthcare provider organizations, public health departments, and other settings. Public health entities are in a unique position to consume these data, however, most do not yet have the infrastructure required to integrate data sources and apply computable knowledge to combat this pandemic. Outcomes: Herein, we describe lessons learned and a framework to address these needs, which focus on: (a) identifying and filling technology ?gaps?; (b) pursuing collaborative design of data sharing requirements and transmission mechanisms; (c) facilitating cross?domain discussions involving legal and research compliance; and (d) establishing or participating in multi?institutional convening or coordinating activities. Next steps: While by no means a comprehensive evaluation of such issues, we envision that many of our experiences are universal. We hope those elucidated can serve as the catalyst for a robust community?wide dialogue on what steps can and should be taken to ensure that our regional and national health care systems can truly learn, in a rapid manner, so as to respond to this and future emergent public health crises. Twit Text FOAVip Transmission dynamics: Data sharing in the COVID 19 era ????Learn Health Syst http://www.kidney.de/pget.php?&tw=1&pmid=32838037 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32838037 #FOAvip English Wikipedia <ref>{{Cite pmid|32838037}}</ref> Transmission dynamics: Data sharing in the COVID?19 era #MMPMID32838037 Foraker RE; Lai AM; Kannampallil TG; Woeltje KF; Trolard AM; Payne PRO Learn Health Syst 2021[Jan]; 5 (1): ä PMID32838037show ga Problem: The current coronavirus disease 2019 (COVID?19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a historical context of public health crises, data sharing agreements and transactional standards do not uniformly exist between institutions which hamper a foundational infrastructure to meet data sharing and integration needs for the advancement of public health. Approach: There is a growing need to apply population health knowledge with technological solutions to data transfer, integration, and reasoning, to improve health in a broader learning health system ecosystem. To achieve this, data must be combined from healthcare provider organizations, public health departments, and other settings. Public health entities are in a unique position to consume these data, however, most do not yet have the infrastructure required to integrate data sources and apply computable knowledge to combat this pandemic. Outcomes: Herein, we describe lessons learned and a framework to address these needs, which focus on: (a) identifying and filling technology ?gaps?; (b) pursuing collaborative design of data sharing requirements and transmission mechanisms; (c) facilitating cross?domain discussions involving legal and research compliance; and (d) establishing or participating in multi?institutional convening or coordinating activities. Next steps: While by no means a comprehensive evaluation of such issues, we envision that many of our experiences are universal. We hope those elucidated can serve as the catalyst for a robust community?wide dialogue on what steps can and should be taken to ensure that our regional and national health care systems can truly learn, in a rapid manner, so as to respond to this and future emergent public health crises. äTransmission dynamics: Data sharing in the COVID?19 era (epmc).pdf DeepDyve Pubget Overpricing