How Do Doctors Perceive the Organizing Vision for Electronic Medical Records? Preliminary Findings from a Study of EMR Adoption in Independent Physician Practices

Author(s):  
John Lee Reardon ◽  
Elizabeth Davidson
Author(s):  
John L. Reardon

Actual adoption and usage rates of healthcare Information Technology (HIT) in general and electronic medical records (EMR) in particular are well below expectations, even though both show potential to help solve some of the more pressing problems plaguing the U.S. healthcare system. This research explores the role that a community-wide organizing vision (OV) (Ramiller & Swanson, 2003) plays in shaping independent physician practices’ perceptions of EMR technology, and hence, their interest in adopting and using the technology. This chapter reports on an OV for EMRs by analyzing data collected using a mail survey of independent physician practices and uses factor analysis to examine structural properties and content of the OV among the practices sampled. Contributions to theory include exploring the applicability of Ramiller and Swanson’s (Ramiller & Swanson, 2003; Swanson & Ramiller, 2004, 1997) OV on HIT innovations in healthcare research. Contributions to practice include empowering HIT decision makers with a model for addressing the introduction of a technology innovation (EMR) into an independent physician practice.


2011 ◽  
pp. 1028-1050
Author(s):  
John L. Reardon

Adoption and usage rates of healthcare information technology (HIT) in general and electronic medical records (EMR) in particular are below expectations even though both show potential to help solve pressing problems plaguing the U.S. healthcare system. This research explores the role an organizing vision (OV) (Ramiller & Swanson, 2003) plays in shaping independent physician practices’ (IPP) perceptions of EMRs and hence their interest in adopting and using the technology. This paper reports on an OV for EMRs by using a mail survey of IPPs and uses factor analysis to examine structural properties and content of the OV among the practices. Contributions to theory include exploring the applicability of Ramiller and Swanson’s (Ramiller & Swanson, 2003) OV on HIT innovations in healthcare research. Contributions to practice include empowering HIT decision makers with a model for addressing the introduction of a technology innovation (EMR) into an independent physician practice.


Author(s):  
Liam O’Neill ◽  
Jeffery Talbert ◽  
William Klepack

To examine physician characteristics and practice patterns associated with the adoption of electronic medical records (EMRs) in smaller group practices. Primary care physicians in Kentucky were surveyed regarding their use of EMRs. Respondents were asked if their practice had fully implemented, partially implemented, or not implemented EMRs. Of the 482 physicians surveyed, the rate of EMR adoption was 28%, with 14% full implementation and 14% partial implementation. Younger physicians were significantly more likely to use EMRs (p = 0.00). For those in their thirties, 45% had fully or partially implemented EMRs compared with 15% of physicians aged 60 and above. In logistic regression analyses that controlled for practice characteristics, age, male gender, and rural location predicted EMR adoption. Younger physicians in smaller group practices are more likely to adopt EMRs than older physicians. EMRs were also associated with an increased use of chronic disease management.


2011 ◽  
pp. 1503-1512
Author(s):  
Laim O’Neill ◽  
Jeffery Talbert ◽  
William Klepack

To examine physician characteristics and practice patterns associated with the adoption of electronic medical records (EMRs) in smaller group practices. Primary care physicians in Kentucky were surveyed regarding their use of EMRs. Respondents were asked if their practice had fully implemented, partially implemented, or not implemented EMRs. Of the 482 physicians surveyed, the rate of EMR adoption was 28%, with 14% full implementation and 14% partial implementation. Younger physicians were significantly more likely to use EMRs (p = 0.00). For those in their thirties, 45% had fully or partially implemented EMRs compared with 15% of physicians aged 60 and above. In logistic regression analyses that controlled for practice characteristics, age, male gender, and rural location predicted EMR adoption. Younger physicians in smaller group practices are more likely to adopt EMRs than older physicians. EMRs were also associated with an increased use of chronic disease management.


2009 ◽  
Vol 25 (3) ◽  
pp. 177-185 ◽  
Author(s):  
Ann S. O’Malley ◽  
Joy M. Grossman ◽  
Genna R. Cohen ◽  
Nicole M. Kemper ◽  
Hoangmai H. Pham

10.28945/3600 ◽  
2016 ◽  
Vol 5 ◽  
pp. 08
Author(s):  
Janene J Culumber

The Chief Information Office at Moffitt Cancer Center worries that his physicians may not be ready for the shift to electronic medical records (EMR). Could he get the organization to change its view from an IT driven project to an institutional change in clinical and operational workflows?


Author(s):  
Liam O’Neill ◽  
Jeffery Talbert ◽  
William Klepack

To examine physician characteristics and practice patterns associated with the adoption of electronic medical records (EMRs) in smaller group practices. Primary care physicians in Kentucky were surveyed regarding their use of EMRs. Respondents were asked if their practice had fully implemented, partially implemented, or not implemented EMRs. Of the 482 physicians surveyed, the rate of EMR adoption was 28%, with 14% full implementation and 14% partial implementation. Younger physicians were significantly more likely to use EMRs (p = 0.00). For those in their thirties, 45% had fully or partially implemented EMRs compared with 15% of physicians aged 60 and above. In logistic regression analyses that controlled for practice characteristics, age, male gender, and rural location predicted EMR adoption. Younger physicians in smaller group practices are more likely to adopt EMRs than older physicians. EMRs were also associated with an increased use of chronic disease management.


2014 ◽  
Author(s):  
C. McKenna ◽  
B. Gaines ◽  
C. Hatfield ◽  
S. Helman ◽  
L. Meyer ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document