Literature DB >> 30447808

Big Data in Neonatal Health Care: Big Reach, Big Reward?

Lynn E Bayne1.   

Abstract

Analog-to-digital data conversion has created massive amounts of historical and real-time health care data. Costs associated with neonatal health issues are high. Big data use in the neonatal intensive care unit has the potential to facilitate earlier detection of clinical deterioration, expedite application of efficient clinical decision-making algorithms based on real-time and historical data mining, and yield significant cost-savings.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  Big data; Clinical decision making; Cost-savings; Electronic health record (EHR); Healthcare analytics; Neonatology

Mesh:

Year:  2018        PMID: 30447808     DOI: 10.1016/j.cnc.2018.07.005

Source DB:  PubMed          Journal:  Crit Care Nurs Clin North Am        ISSN: 0899-5885            Impact factor:   1.326


  4 in total

1.  Current Understanding of Transfusion-associated Necrotizing Enterocolitis: Review of Clinical and Experimental Studies and a Call for More Definitive Evidence.

Authors:  Minesh Khashu; Christof Dame; Pascal M Lavoie; Isabelle G De Plaen; Parvesh M Garg; Venkatesh Sampath; Atul Malhotra; Michael D Caplan; Praveen Kumar; Pankaj B Agrawal; Giuseppe Buonocore; Robert D Christensen; Akhil Maheshwari
Journal:  Newborn (Clarksville)       Date:  2022-03-31

Review 2.  Caffeine and Its Neuroprotective Role in Ischemic Events: A Mechanism Dependent on Adenosine Receptors.

Authors:  R Brito; K C Calaza; D Pereira-Figueiredo; A A Nascimento; M C Cunha-Rodrigues
Journal:  Cell Mol Neurobiol       Date:  2021-03-17       Impact factor: 5.046

3.  Investigation of patients' access to EHR data via smart apps in Chinese Hospitals.

Authors:  Ting Shu; Fan Xu; Hongxia Li; Wei Zhao
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

Review 4.  Brief introduction of medical database and data mining technology in big data era.

Authors:  Jin Yang; Yuanjie Li; Qingqing Liu; Li Li; Aozi Feng; Tianyi Wang; Shuai Zheng; Anding Xu; Jun Lyu
Journal:  J Evid Based Med       Date:  2020-02-22
  4 in total

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