TY - JOUR
T1 - Rating the digital help
T2 - electronic medical records, software providers, and physicians
AU - Butler, Richard J.
AU - Johnson, William
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - To separate the effects of physicians’ characteristics on the perceived productivity of EMRs from the effects of limitations on usability inherent in EMR design, a multivariate regression model is used to estimate the factors influencing physicians’ rankings of five attributes of their EMRs, namely; ease of use and reliability; the EMRs effect on physician and staff productivity and the EMRs performance vs. vendor’s promises. We divide the factors influencing the rankings into three groups: physician characteristics, EMR characteristics and practice characteristics (type of practice, size, and location). The data are from approximately 1800 practicing physicians in Arizona. Physician’s characteristics influence perceived ease of use and physicians’ productivity, but not staff productivity, reliability or vendors’ promised performance. Practice type and EMR characteristics affect perceived productivity, reliability and performance versus vendors’ promises. Vendor-specific effects are highly correlated across all five attributes and are always jointly significant. EMR characteristics are the most significant influence on physicians’ perceptions of the EMRs effect on their productivity and that of their staff. Physicians’ characteristics (particularly age) have a small but significant influence on perceived productivity.
AB - To separate the effects of physicians’ characteristics on the perceived productivity of EMRs from the effects of limitations on usability inherent in EMR design, a multivariate regression model is used to estimate the factors influencing physicians’ rankings of five attributes of their EMRs, namely; ease of use and reliability; the EMRs effect on physician and staff productivity and the EMRs performance vs. vendor’s promises. We divide the factors influencing the rankings into three groups: physician characteristics, EMR characteristics and practice characteristics (type of practice, size, and location). The data are from approximately 1800 practicing physicians in Arizona. Physician’s characteristics influence perceived ease of use and physicians’ productivity, but not staff productivity, reliability or vendors’ promised performance. Practice type and EMR characteristics affect perceived productivity, reliability and performance versus vendors’ promises. Vendor-specific effects are highly correlated across all five attributes and are always jointly significant. EMR characteristics are the most significant influence on physicians’ perceptions of the EMRs effect on their productivity and that of their staff. Physicians’ characteristics (particularly age) have a small but significant influence on perceived productivity.
KW - EHR
KW - EMR
KW - Ease of use
KW - Physician perceptions
KW - Productivity
UR - http://www.scopus.com/inward/record.url?scp=84979686892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979686892&partnerID=8YFLogxK
U2 - 10.1007/s10754-016-9190-8
DO - 10.1007/s10754-016-9190-8
M3 - Article
C2 - 27878677
AN - SCOPUS:84979686892
SN - 2199-9023
VL - 16
SP - 269
EP - 283
JO - International Journal of Health Economics and Management
JF - International Journal of Health Economics and Management
IS - 3
ER -