TY - CHAP
T1 - Factors associated with increased adoption of a research data warehouse
AU - Baghal, Ahmad
AU - Zozus, Meredith
AU - Baghal, Amanda
AU - Al-Shukri, Shaymaa
AU - Prior, Fred
N1 - Publisher Copyright:
© 2019 American Psychological Association Inc. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The increased demand of clinical data for the conduct of clinical and translational research incentivized repurposing of the University of Arkansas for Medical Sciences' enterprise data warehouse (EDW) to meet researchers' data needs. The EDW was renamed the Arkansas Clinical Data Repository (AR-CDR), underwent content enhancements, and deployed a self-service cohort estimation tool in late of 2016. In an effort to increase adoption of the AR-CDR, a team of physician informaticist and information technology professionals conducted various informational sessions across the UAMS campus to increase awareness of the AR-CDR and the informatics capabilities. The restructuring of the data warehouse resulted in four-fold utilization increase of the AR-CDR data services in 2017. To assess acceptance rates of the AR-CDR and quantify outcomes of services provided, Everett Rogers' diffusion of innovation (DOI) framework was applied, and a survey was distributed. Results show the factors that had impact on increased adoption were: presence of physician informaticist to mediate interactions between researchers and analysts, data quality, communication with and engagement of researchers, and the AR-CDR's team responsiveness and customer service mindset.
AB - The increased demand of clinical data for the conduct of clinical and translational research incentivized repurposing of the University of Arkansas for Medical Sciences' enterprise data warehouse (EDW) to meet researchers' data needs. The EDW was renamed the Arkansas Clinical Data Repository (AR-CDR), underwent content enhancements, and deployed a self-service cohort estimation tool in late of 2016. In an effort to increase adoption of the AR-CDR, a team of physician informaticist and information technology professionals conducted various informational sessions across the UAMS campus to increase awareness of the AR-CDR and the informatics capabilities. The restructuring of the data warehouse resulted in four-fold utilization increase of the AR-CDR data services in 2017. To assess acceptance rates of the AR-CDR and quantify outcomes of services provided, Everett Rogers' diffusion of innovation (DOI) framework was applied, and a survey was distributed. Results show the factors that had impact on increased adoption were: presence of physician informaticist to mediate interactions between researchers and analysts, data quality, communication with and engagement of researchers, and the AR-CDR's team responsiveness and customer service mindset.
KW - AR-CDR
KW - Clinical Data Warehouse
KW - clinical data repository
KW - clinical research
KW - electronic health records
UR - http://www.scopus.com/inward/record.url?scp=85061243337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061243337&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-951-5-31
DO - 10.3233/978-1-61499-951-5-31
M3 - Chapter
C2 - 30741168
AN - SCOPUS:85061243337
T3 - Studies in Health Technology and Informatics
SP - 31
EP - 35
BT - Improving Usability, Safety and Patient Outcomes with Health Information Technology
A2 - Kuo, Alex Mu-Hsing
A2 - Kushniruk, Andre
A2 - Lau, Francis
A2 - Borycki, Elizabeth M.
A2 - Bliss, Gerry
A2 - Monkman, Helen
A2 - Roudsari, Abdul Vahabpour
A2 - Bartle-Clar, John A.
A2 - Courtney, Karen L.
PB - IOS Press
ER -