Data Curation and Visualization to Improve Severe Maternal Morbidity Through Self-Service Dashboards
نویسندگان
چکیده
منابع مشابه
Severe Acute Maternal Morbidity and Postpartum Hemorrhage
For every woman who dies of postpartum hemorrhage (PPH), many more suffer shortand long-term consequences even when well managed. During the 1990s, the concept of severe adverse maternal morbidity (SAMM) emerged in response to the need for a more sensitive marker of quality of maternity care than maternal death1,2. This concept and the accompanying acronym have the advantage of drawing attentio...
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This document builds upon recommendations from peer organizations and outlines a process for identifying maternal cases that should be reviewed. Severe maternal morbidity is associated with a high rate of preventability, similar to that of maternal mortality. It also can be considered a near miss for maternal mortality because without identification and treatment, in some cases, these condition...
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Climate and Weather are of increasing interest to the scientific community and the general public. Data curation and stewardship are essential building blocks in the science community’s quest to better understand how natural climate and weather systems behave and how activities of human civilization are altering the natural system. Rudimentary observations of the atmosphere and ocean have been ...
متن کاملCollecting and Visualizing Real-Time Urban Data through City Dashboards
Dashboards which collect and display real-time streamed data from a variety of rudimentary sensors positioned in the built environment provide an immediate portal for decision-makers to get some sense of their city and environment. These devices are linked to previous renditions of control and management of real time services in cities, particularly transport, in control-room like setting but t...
متن کاملSevere maternal morbidity (near miss) as a sentinel event of maternal death. An attempt to use routine data for surveillance
BACKGROUND To identify all the records within the Brazilian Hospital Information System (HIS) that contained information suggestive of severe maternal morbidity (near miss); to describe the diagnoses and procedures used; to identify variables associated with maternal death. METHODS A descriptive population study with data from the HIS and Mortality Information System (MIS) files of records of...
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ژورنال
عنوان ژورنال: Journal of Obstetric, Gynecologic & Neonatal Nursing
سال: 2020
ISSN: 0884-2175
DOI: 10.1016/j.jogn.2020.09.102