Electronic health records implementation: An evaluation of information system impact and contingency factors

2014 ◽  
Vol 83 (11) ◽  
pp. 779-796 ◽  
Author(s):  
Lemai Nguyen ◽  
Emilia Bellucci ◽  
Linh Thuy Nguyen
2019 ◽  
Vol Volume 11 ◽  
pp. 1015-1024 ◽  
Author(s):  
Martina Recalde ◽  
Cyntia Manzano-Salgado ◽  
Yesika Díaz ◽  
Diana Puente ◽  
Maria del Mar Garcia-Gil ◽  
...  

2020 ◽  
Vol 24 (01) ◽  
pp. 65-73 ◽  
Author(s):  
Teresa Martin-Carreras ◽  
Po-Hao Chen

AbstractThe radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the interpretive use cases, many opportunities exist to enhance the radiologist's value proposition through business analytics. This article explores how AI lends an analytical lens to the radiology practice to create value.


BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e019698 ◽  
Author(s):  
Hongbo Lin ◽  
Xun Tang ◽  
Peng Shen ◽  
Dudan Zhang ◽  
Jinguo Wu ◽  
...  

IntroductionData based on electronic health records (EHRs) are rich with individual-level longitudinal measurement information and are becoming an increasingly common data source for clinical risk prediction worldwide. However, few EHR-based cohort studies are available in China. Harnessing EHRs for research requires a full understanding of data linkages, management, and data quality in large data sets, which presents unique analytical opportunities and challenges. The purpose of this study is to provide a framework to establish a uniquely integrated EHR database in China for scientific research.Methods and analysisThe CHinese Electronic health Records Research in Yinzhou (CHERRY) Study will extract individual participant data within the regional health information system of an eastern coastal area of China to establish a longitudinal population-based ambispective cohort study for cardiovascular care and outcomes research. A total of 1 053 565 Chinese adults aged over 18 years were registered in the health information system in 2009, and there were 23 394 deaths from 1 January 2009 to 31 December 2015. The study will include information from multiple epidemiological surveys; EHRs for chronic disease management; and health administrative, clinical, laboratory, drug and electronic medical record (EMR) databases. Follow-up of fatal and non-fatal clinical events is achieved through records linkage to the regional system of disease surveillance, chronic disease management and EMRs (based on diagnostic codes from the International Classification of Diseases, tenth revision). The CHERRY Study will provide a unique platform and serve as a valuable big data resource for cardiovascular risk prediction and population management, for primary and secondary prevention of cardiovascular events in China.Ethics and disseminationThe CHERRY Study was approved by the Peking University Institutional Review Board (IRB00001052-16011) in April 2016. Results of the study will be disseminated through published journal articles, conferences and seminar presentations, and on the study website (http://www.cherry-study.org).


2016 ◽  
Vol 34 (2) ◽  
pp. 163-165 ◽  
Author(s):  
William B. Ventres ◽  
Richard M. Frankel

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