Literature DB >> 17994406

The impact of electronic medical records on timeliness of diagnosis of asthma.

Kwang Ha Yoo1, Whitney E Molis, Amy L Weaver, Robert M Jacobson, Young J Juhn.   

Abstract

We assessed timeliness of diagnosis of asthma before and after the inception of electronic medical record (EMR). The proportions of children with a delay in diagnosis of asthma before and after the inception of EMR were 67.8% and 56.8%, respectively (p = 0.088). A significant proportion of children have delayed diagnosis of asthma, and availability of EMR plays a minimal role in reducing delays in diagnosis of asthma. However, considering the limited statistical power and a potential trend of EMR toward the positive impact on timely diagnosis of asthma, the study results need to be revisited in a larger study.

Entities:  

Mesh:

Year:  2007        PMID: 17994406     DOI: 10.1080/02770900701645447

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  3 in total

1.  Automated chart review for asthma cohort identification using natural language processing: an exploratory study.

Authors:  Stephen T Wu; Sunghwan Sohn; K E Ravikumar; Kavishwar Wagholikar; Siddhartha R Jonnalagadda; Hongfang Liu; Young J Juhn
Journal:  Ann Allergy Asthma Immunol       Date:  2013-08-12       Impact factor: 6.347

2.  Measurement error in performance studies of health information technology: lessons from the management literature.

Authors:  A S Litwin; A C Avgar; P J Pronovost
Journal:  Appl Clin Inform       Date:  2012-06-13       Impact factor: 2.342

3.  Impact of delay in asthma diagnosis on health care service use.

Authors:  Brian A Lynch; Chelsey A Van Norman; Robert M Jacobson; Amy L Weaver; Young J Juhn
Journal:  Allergy Asthma Proc       Date:  2010 Jul-Aug       Impact factor: 2.587

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.