Literature DB >> 23680343

Electronic medical record adoption in hospitals that care for children.

Ronald J Teufel1, Abby Swanson Kazley, Annie L Andrews, Myla D Ebeling, William T Basco.   

Abstract

OBJECTIVE: Hospitals that care for children face unique barriers in electronic medical records (EMR) use that may affect their ability to meaningfully use EMR. The purpose of this study was to investigate hospitals that care for children, both freestanding and adult hospitals with children's services, to determine progress toward advanced stages of EMR use.
METHODS: The American Hospital Association survey described hospitals across the United States. Healthcare Information and Management Systems Society 2006 and 2010 databases identified hospitals' EMR use. EMR stage was classified according to previous studies. Multivariable analysis was used to determine independent predictors of EMR use.
RESULTS: The analysis included 2794 hospitals. During the study time frame, a significant increase occurred for hospitals moving into any stage of EMR in adult hospitals with children's services (47% to 75%; P < .001), while improvements for freestanding children's hospitals were modest at best (46% to 59%; P = .3). Conversely, freestanding children's hospitals had the largest gain in advance stage 3 adoption (6% to 39%; P < .001) compared to adult hospitals with children's services (6% to 23%; P < .001). Freestanding children's hospitals were less likely to use pharmacy information systems but more likely to use computerized provider order entry.
CONCLUSIONS: In 2010, freestanding children's hospitals had the highest percentage use of advanced stage EMR (39%), but the lowest improvements in percentage of hospitals entering into any stage of adoption over the study period. This trend created a digital divide among freestanding children's hospitals that may improve with pediatric-specific electronic medication management products.
Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23680343     DOI: 10.1016/j.acap.2013.01.010

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


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2.  AutoPEWS: Automating Pediatric Early Warning Score Calculation Improves Accuracy Without Sacrificing Predictive Ability.

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  2 in total

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