Adoption and meaningful use of computerized physician order entry with an integrated clinical decision support system for radiology: ten-year analysis in an urban teaching hospital.
OBJECTIVE
The aim of this study was to assess whether an integrated imaging computerized physician order entry (CPOE) system with embedded decision support for imaging can be accepted clinically.


METHODS
The study was performed in a health care delivery network with an affiliated academic hospital. After pilot testing and user feedback, a Web-enabled CPOE system with embedded imaging decision support was phased into clinical use between 2000 and 2010 across outpatient, emergency department, and inpatient settings. The primary outcome measure was meaningful use, defined as the proportion of imaging studies performed with orders electronically created (EC) or electronically signed by an authorized provider. The secondary outcome measure was adoption, defined as the proportion of imaging studies that were ordered electronically, irrespective of who entered the order in the CPOE system. Univariate and multivariate regression analyses were performed to estimate trends and the significance of practice settings, examination modality, and body part to outcome measures. Chi-square statistics were used to assess differences across specialties.


RESULTS
A total of 4.1 million imaging studies were performed during the study period. From 2000 to 2010, significant increases in meaningful use (for EC studies, from 0.4% to 61.9%; for electronically signed studies, from 0.4% to 92.2%; P < .005) and the adoption of CPOE (from 0.5% to 94.6%, P < .005) were observed. The use of EC studies was greatest in the emergency department and inpatient settings. Meaningful use varied across specialties; surgical subspecialties had the lowest rates of EC studies.


CONCLUSIONS
Imaging CPOE with embedded decision support integrated into the IT infrastructure of the health care enterprise and clinicians' workflow can be broadly accepted clinically.
Center for Evidence-Based Imaging, Brigham and Women's Hospital, Boston, MA 02120;, USA. iip@partners.org
Ivan K
IK
Ip
Louise I
LI
Schneider
Richard
R
Hanson
Dana
D
Marchello
Patricia
P
Hultman
Michael
M
Viera
Brian
B
Chiango
Katherine P
KP
Andriole
Andrew
A
Menard
Susan
S
Schade
Steven E
SE
Seltzer
Ramin
R
Khorasani
D000046:Academic Medical Centers / Q000706:statistics & numerical data*; D001900:Boston; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D006786:Hospitals, Urban / Q000706:statistics & numerical data*; D050316:Medical Order Entry Systems / Q000706:statistics & numerical data*; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D018511:Systems Integration