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October 02, 2019 - Sc., R.N., FACMI, Brigham and Women's Hospital/Harvard University (PPTX, 13.9 MB) 02 Oct 2019 Data
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October 01, 2019 - Sc., R.N., FACMI, Brigham and Women's Hospital/Harvard University
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October 02, 2019 - Sc., R.N., FACMI, Brigham and Women's Hospital/Harvard University (PPTX, 13.9 MB) 02 Oct 2019 Data
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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September 01, 2020 - providers for care coordination, in the most user-friendly and intuitive ways possible
And requires hospitals … Hospital improvement innovation networks (HIINs) working with 4,000 acute care hospitals across the nation … have generated a 13 percent reduction in the number of hospital acquired conditions between 2014 and … demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital … N3C will enable the rapid collection and analysis of clinical, laboratory, and diagnostic data from hospitals
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October 01, 2019 - Sc., R.N., FACMI, Brigham and Women's
Hospital/Harvard University
(PPTX, 13.9 MB)
02 Oct
2019