Understanding Nurse Perceptions of a Newly Implemented Electronic Medical Record System

Nurses are the frontline of healthcare; however, there has been little theoretically-driven research on their acceptance of information technology use in care delivery. This research utilized the unified theory of acceptance and use of technology (UTAUT) model to understand how hospital nurses perceived the implementation of a new electronic medical record (EMR) system. This study used mix methods. The survey responses indicated that social influence and performance expectancy were significant factors in system adoption. Effort expectancy did not have a significant influence on the intention to use the EMR. The interviews were utilized to better understand these results. The UTAUT model highlighted factors that are important to nurses during an EMR deployment and can help in future implementations of technology in healthcare.

[1]  M. Sherif,et al.  The psychology of attitudes. , 1946, Psychological review.

[2]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[3]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[4]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  Health Information Technology: A HIT with Nurses? , 2009 .

[6]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[7]  Sharon McLane Designing an EMR Planning Process Based on Staff Attitudes Toward and Opinions About Computers in Healthcare , 2005, Computers, informatics, nursing : CIN.

[8]  Pamela Whitten,et al.  Telehospice: reasons for slow adoption in home hospice care , 2009, Journal of telemedicine and telecare.

[9]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[10]  D. Shulkin Like night and day--shedding light on off-hours care. , 2008, The New England journal of medicine.

[11]  Brendan R. Watson,et al.  Analyzing Media Messages , 2023 .

[12]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[13]  M. Prensky Do They Really Think Differently , 2001 .

[14]  D. Blumenthal Stimulating the adoption of health information technology. , 2009, The West Virginia medical journal.

[15]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[16]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[17]  James A. Bahensky,et al.  Health care information technology in rural America: electronic medical record adoption status in meeting the national agenda. , 2008, The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association.

[18]  Katharine V Smith,et al.  Being a Good Nurse and Doing the Right Thing: a qualitative study , 2002, Nursing ethics.

[19]  J. Carpenter Doctors and Nurses: Stereotypes and Stereotype Change in Interprofessional Education , 1995 .

[20]  Christopher E. West,et al.  The value of electronic health records in solo or small group practices. , 2005, Health affairs.

[21]  N. Charness,et al.  Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE) , 2006 .

[22]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.

[23]  I-Chiu Chang,et al.  Physicians' acceptance of pharmacokinetics-based clinical decision support systems , 2007, Expert Syst. Appl..

[24]  Julie M. Fiskio,et al.  Evaluating physician satisfaction regarding user interactions with an electronic medical record system , 1999, AMIA.

[25]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[26]  Jeffrey Soar,et al.  Australian nurses access and attitudes to information technology--a national survey. , 2006, Studies in health technology and informatics.

[27]  S. Chaiken,et al.  The psychology of attitudes. , 1993 .

[28]  Sara C Wheeless,et al.  Survey Response Inducements for Registered Nurses , 2006, Western journal of nursing research.

[29]  Thomas W Dillon,et al.  Nursing Attitudes and Images of Electronic Patient Record Systems , 2005, Computers, informatics, nursing : CIN.

[30]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[31]  Chun-Ju Hsiao,et al.  Electronic Medical Record/Electronic Health Record Systems of Office-based Physicians: United States, 2009 and Preliminary 2010 State Estimates , 2010 .

[32]  Marion J. Ball,et al.  Evaluation of a nursing informatics training program shows significant changes in nurses’ perception of their knowledge of information technology , 2005, Health Informatics J..

[33]  Kimberly A. Neuendorf,et al.  The Content Analysis Guidebook , 2001 .

[34]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[35]  R. J. Repique Digital Natives, Digital Immigrants , 2013, Journal of the American Psychiatric Nurses Association.

[36]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[37]  Omar F. El-Gayar,et al.  EXAMINING HEALTHCARE PROFESSIONALS' ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS USING UTAUT , 2008 .

[38]  D. Blumenthal,et al.  Information technology comes to medicine. , 2007, The New England journal of medicine.