Matches in SemOpenAlex for { <https://semopenalex.org/work/W2956161181> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2956161181 abstract "1. Benson S. Hsu, MD, MBA*,†,‡2. Justin P. Smith, PhD*3. Emily R. Griese, PhD*,†,‡ 1. *Sanford Health, Sioux Falls, SD2. †Department of Pediatrics, University of South Dakota Sanford School of Medicine, Vermillion, SD3. ‡Sanford Research, Sioux Falls, SDAt the forefront of health-care innovation is the ability to harness the power and potential of big data, commonly described as data with 3 key components: volume, variety, and velocity. Health-care gathers one of the largest and most diverse data sets, with some health systems harboring nearly 2 decades worth of electronic medical records (EMRs). Big data, however, is more than just a large volume of data (often a terabyte or even petabyte in size); it also intentionally merges a variety of data sources. In health-care, this may comprise traditional EMR data combined with data sets such as census and geospatial data. Coupled with velocity, ie, the capacity to manage rapidly generated data (ie, through personal health monitors), big data provides a new dimension to health-care, one with the possibility to transform the way patient care is provided. This In Brief aims to explore advances in using big data, the possibilities that exist with its application, and its relevance to health-care professionals.Health-care data are messy. Considering the number of data collectors in a clinic or hospital or health-care system, from nurses to physicians to registrars to coders, and the various data captures, from physician notes to pathology reports to coding abstractions, the potential for interpretation and recorder biases are numerous, resulting in the familiar adage of “garbage in, garbage out.” Combining non–health-care data sources with traditional health-care data is further fraught with concerns given the …" @default.
- W2956161181 created "2019-07-12" @default.
- W2956161181 creator A5015752739 @default.
- W2956161181 creator A5025232911 @default.
- W2956161181 creator A5037189584 @default.
- W2956161181 date "2019-07-01" @default.
- W2956161181 modified "2023-09-26" @default.
- W2956161181 title "Applying Big Data to Pediatric Care" @default.
- W2956161181 cites W160573773 @default.
- W2956161181 cites W179368776 @default.
- W2956161181 cites W2340822104 @default.
- W2956161181 cites W2517044958 @default.
- W2956161181 cites W2584093269 @default.
- W2956161181 doi "https://doi.org/10.1542/pir.2017-0210" @default.
- W2956161181 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31263048" @default.
- W2956161181 hasPublicationYear "2019" @default.
- W2956161181 type Work @default.
- W2956161181 sameAs 2956161181 @default.
- W2956161181 citedByCount "0" @default.
- W2956161181 crossrefType "journal-article" @default.
- W2956161181 hasAuthorship W2956161181A5015752739 @default.
- W2956161181 hasAuthorship W2956161181A5025232911 @default.
- W2956161181 hasAuthorship W2956161181A5037189584 @default.
- W2956161181 hasConcept C111919701 @default.
- W2956161181 hasConcept C124101348 @default.
- W2956161181 hasConcept C138816342 @default.
- W2956161181 hasConcept C145642194 @default.
- W2956161181 hasConcept C159110408 @default.
- W2956161181 hasConcept C160735492 @default.
- W2956161181 hasConcept C17744445 @default.
- W2956161181 hasConcept C199539241 @default.
- W2956161181 hasConcept C199683683 @default.
- W2956161181 hasConcept C202444582 @default.
- W2956161181 hasConcept C2522767166 @default.
- W2956161181 hasConcept C33676613 @default.
- W2956161181 hasConcept C33923547 @default.
- W2956161181 hasConcept C41008148 @default.
- W2956161181 hasConcept C71924100 @default.
- W2956161181 hasConcept C75684735 @default.
- W2956161181 hasConceptScore W2956161181C111919701 @default.
- W2956161181 hasConceptScore W2956161181C124101348 @default.
- W2956161181 hasConceptScore W2956161181C138816342 @default.
- W2956161181 hasConceptScore W2956161181C145642194 @default.
- W2956161181 hasConceptScore W2956161181C159110408 @default.
- W2956161181 hasConceptScore W2956161181C160735492 @default.
- W2956161181 hasConceptScore W2956161181C17744445 @default.
- W2956161181 hasConceptScore W2956161181C199539241 @default.
- W2956161181 hasConceptScore W2956161181C199683683 @default.
- W2956161181 hasConceptScore W2956161181C202444582 @default.
- W2956161181 hasConceptScore W2956161181C2522767166 @default.
- W2956161181 hasConceptScore W2956161181C33676613 @default.
- W2956161181 hasConceptScore W2956161181C33923547 @default.
- W2956161181 hasConceptScore W2956161181C41008148 @default.
- W2956161181 hasConceptScore W2956161181C71924100 @default.
- W2956161181 hasConceptScore W2956161181C75684735 @default.
- W2956161181 hasLocation W29561611811 @default.
- W2956161181 hasLocation W29561611812 @default.
- W2956161181 hasOpenAccess W2956161181 @default.
- W2956161181 hasPrimaryLocation W29561611811 @default.
- W2956161181 hasRelatedWork W1489783725 @default.
- W2956161181 hasRelatedWork W1506200166 @default.
- W2956161181 hasRelatedWork W2039318446 @default.
- W2956161181 hasRelatedWork W2080531066 @default.
- W2956161181 hasRelatedWork W2373994074 @default.
- W2956161181 hasRelatedWork W2748952813 @default.
- W2956161181 hasRelatedWork W2780146991 @default.
- W2956161181 hasRelatedWork W2896609434 @default.
- W2956161181 hasRelatedWork W2899084033 @default.
- W2956161181 hasRelatedWork W3012411836 @default.
- W2956161181 isParatext "false" @default.
- W2956161181 isRetracted "false" @default.
- W2956161181 magId "2956161181" @default.
- W2956161181 workType "article" @default.