title: Big Data and Predictive Analytics: Applications in the Care of Children.
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.
authors.affiliation: Children's Hospital of Pittsburgh, 4401 Penn Avenue, Room 6415 AOB, Pittsburgh, PA 15224, USA. Electronic address: suresh@chp.edu.
authors.forename: Srinivasan
authors.initials: S
authors.lastname: Suresh
mesh_terms: D002648:Child; D020000:Decision Support Systems, Clinical; D003695:Delivery of Health Care; D057286:Electronic Health Records; D006801:Humans; D008490:Medical Informatics; D018570:Risk Assessment; D014481:United States
keywords: Big data; Clinical Informatics; Electronic Health Records; Predictive analytics