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Forbes Healthcare Summit
2014-12-03    
All Day
Forbes Healthcare Summit: Smart Data Transforming Lives How big will the data get? This year we may collect more data about the human body than [...]
Customer Analytics & Engagement in Health Insurance
2014-12-04 - 2014-12-05    
All Day
Using Data Analytics, Product Experience & Innovation to Build a Profitable Customer-Centric Strategy Takeaway business ROI: Drive business value with customer analytics: learn what every business [...]
mHealth Summit
DECEMBER 7-11, 2014 The mHealth Summit, the largest event of its kind, convenes a diverse international delegation to explore the limits of mobile and connected [...]
The 26th Annual IHI National Forum
Overview ​2014 marks the 26th anniversary of an event that has shaped the course of health care quality in profound, enduring ways — the Annual [...]
Why A Risk Assessment is NOT Enough
2014-12-09    
2:00 pm - 3:30 pm
A common misconception is that  “A risk assessment makes me HIPAA compliant” Sadly this thought can cost your practice more than taking no action at [...]
iHT2 Health IT Summit
2014-12-10 - 2014-12-11    
All Day
Each year, the Institute hosts a series of events & programs which promote improvements in the quality, safety, and efficiency of health care through information technology [...]
Design a premium health insurance plan that engages customers, retains subscribers and understands behaviors
2014-12-16    
11:30 am - 12:30 pm
Wed, Dec 17, 2014 1:00 AM - 2:00 AM IST Join our webinar with John Mills - UPMC, Tim Gilchrist - Columbia University HITLAP, and [...]
Events on 2014-12-03
Forbes Healthcare Summit
3 Dec 14
New York City
Events on 2014-12-04
Events on 2014-12-07
mHealth Summit
7 Dec 14
Washington
Events on 2014-12-09
Events on 2014-12-10
iHT2 Health IT Summit
10 Dec 14
Houston
Articles

May 08 : Understanding How Social Influence and Social Networks Affect EMR Implementation

electronic medical record software
Summary:

Electronic medical records (EMRs) are recognized as an important tool for improving patient safety and quality of care. Despite their potential, many health care organizations have not realized the intended benefits of EMRs because of implementation failures. Prior research suggests that implementation failures, which occur when individuals use EMRs less frequently or consistently than required to achieve potential benefits, can be attributed to managerial factors such as poor project planning or difficulties with the design and use of the technology. Although less is known about the role of social influence in EMR implementation, theory and practice suggest that social influence may play a critical role in enabling or hindering the implementation process.

According to social influence theory, clinicians tend to adopt new practices when influenced by their colleagues’ use of an innovation. In practice, the importance of social influence is evidenced by industry-wide recommendations to engage opinion leaders—defined as individuals perceived as having significant influence on the beliefs and actions of their colleagues—to overcome resistance and increase staff buy-in. Despite the portended importance of social influence, however, there is a dearth of literature on how to use social influence processes to persuade health care practitioners to embrace new technology, and ultimately use it more effectively.

The objective of Ms. Yuan’s AHRQ-funded dissertation study is to use a mixed methods approach to examine the role of opinion leaders during the implementation of an EMR at six clinical units in a large academic hospital over a 1-year period. For the quantitative approach, surveys will be administered before and after the implementation of an EMR to identify opinion leaders and estimate the extent to which they influence colleagues’ perceptions and use of the EMR. The qualitative approach will use interviews and observation to understand how influential individuals exercise influence to encourage or discourage use of EMRs.

The aims of this research are to:

  • Identify opinion leaders and assess individual-level predictors of who is perceived to be an opinion leader in the implementation of an EMR system over time.
  • Estimate the extent to which opinion leaders influence their colleagues’ perceptions and use of an EMR system.
  • Identify and describe the specific behaviors and strategies through which opinion leaders influence others in the implementation of an EMR system.

The overall goal of this study is to advance the understanding of the role of social influence in EMR implementation to improve EMR adoption and the effective use of EMRs.

Grant Number:
R36 HS 022201
Category: AHRQ Grants for Health Services Research Dissertation (R36)
AHRQ Funded Amount: $39,853
Principal Investigator: Yuan, Christina
Organization: Yale University
City: New Haven
Location: Connecticut
Project Dates: September 1, 2013 to December 31, 2014
Project Status: Ongoing

Project Categories

Type of Health Information Technology:
Electronic Medical Record (EMR)/Electronic Health Record (EHR)
Community:
Non-rural
Rural
Care Setting:
Academic Medical Center
Ambulatory
Inpatient
Aspect of Care:
Acute Care
Care Coordination
Improving Care Across Transitions of Care