Author

Sadaf Ashtari

Date Approved

11-7-2016

Date Posted

6-10-2017

Degree Type

Open Access Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

College of Technology

Committee Member

Alphonso Bellamy, Ph.D., Chair

Committee Member

David Leapard, Ph.D.

Committee Member

Dorothy McAllen, Ph.D.

Committee Member

Huei Lee, Ph.D.

Abstract

Applying information technology tools in the healthcare industry is an appropriate solution to integrate and record medical data and provide complete access of patients’ information. However, the effectiveness of these technologies depends on their successful implementation and adaptation. This study addresses the impact of result observability, autonomy, perceived barriers, task structure, privacy and security anxiety, and communication (social) patterns on the perception of the performance and satisfaction of nurses using IT applications in healthcare. Furthermore, the effects of nurses’ years of experience, age, different hospitals, different electronic medical records (EMR) applications, and personality factors are examined as a moderator factors on the relationships between the organizational and social factors, and nurses’ performance and satisfaction. This study proposes a model of the relationship of organizational and social variables as predictor factors on the perception of performance and satisfaction with EMR among nurses.

Multivariate linear regression was used to build models for the perception of performance and the perception of EMR satisfaction. Professional autonomy, communication patterns, privacy and security anxiety, and result observability are the most important predictors for the nurses’ perception of performance relationship. Personality factors do not have a direct relationship with the perception of performance and satisfaction; however, they have moderator effects on the relationship of the independent and dependent variables. Based on the result, financial incentives and sufficient training could influence the nurses’ perception of EMR effectiveness. Based on the findings of this study, the healthcare administrators could focus on increasing employee awareness about the results and tangible benefits of EMR applications and their effects on their performance and satisfaction. EMR development companies in collaboration with healthcare administrators could design the EMR applications more flexible in terms of professional autonomy and give the healthcare staff more freedom to make decisions and deliver care to patients. Moreover, EMR companies may need to reconsider the communication patterns among healthcare staff and patients.

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