Literature DB >> 27017041

Big Data and Predictive Analytics: Applications in the Care of Children.

Srinivasan Suresh1.   

Abstract

Emerging changes in the United States' healthcare delivery model have led to renewed interest in data-driven methods for managing quality of care. Analytics (Data plus Information) plays a key role in predictive risk assessment, clinical decision support, and various patient throughput measures. This article reviews the application of a pediatric risk score, which is integrated into our hospital's electronic medical record, and provides an early warning sign for clinical deterioration. Dashboards that are a part of disease management systems, are a vital tool in peer benchmarking, and can help in reducing unnecessary variations in care.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Clinical Informatics; Electronic Health Records; Predictive analytics

Mesh:

Year:  2016        PMID: 27017041     DOI: 10.1016/j.pcl.2015.12.007

Source DB:  PubMed          Journal:  Pediatr Clin North Am        ISSN: 0031-3955            Impact factor:   3.278


  7 in total

Review 1.  Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

Authors:  S M Meystre; C Lovis; T Bürkle; G Tognola; A Budrionis; C U Lehmann
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 2.  Advances in Clinical Decision Support: Highlights of Practice and the Literature 2015-2016.

Authors:  R A Jenders
Journal:  Yearb Med Inform       Date:  2017-09-11

3.  Predicting Hypertension Among Children With Incident Elevated Blood Pressure.

Authors:  Matthew F Daley; Liza M Reifler; Eric S Johnson; Alan R Sinaiko; Karen L Margolis; Emily D Parker; Louise C Greenspan; Joan C Lo; Patrick J O'Connor; David J Magid
Journal:  Acad Pediatr       Date:  2017-02-21       Impact factor: 3.107

Review 4.  Data harnessing to nurture the human mind for a tailored approach to the child.

Authors:  Saheli Chatterjee Misra; Kaushik Mukhopadhyay
Journal:  Pediatr Res       Date:  2022-09-30       Impact factor: 3.953

Review 5.  Data Science for Child Health.

Authors:  Tellen D Bennett; Tiffany J Callahan; James A Feinstein; Debashis Ghosh; Saquib A Lakhani; Michael C Spaeder; Stanley J Szefler; Michael G Kahn
Journal:  J Pediatr       Date:  2019-01-25       Impact factor: 4.406

6.  Exploring and visualizing multidimensional data in translational research platforms.

Authors:  William Dunn; Anita Burgun; Marie-Odile Krebs; Bastien Rance
Journal:  Brief Bioinform       Date:  2017-11-01       Impact factor: 11.622

7.  Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents.

Authors:  Carolyn E Clausen; Bennett L Leventhal; Øystein Nytrø; Roman Koposov; Odd Sverre Westbye; Thomas Brox Røst; Victoria Bakken; Kaban Koochakpour; Ketil Thorvik; Norbert Skokauskas
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-17       Impact factor: 2.796

  7 in total

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