Information Technology Acceptance in healthcare service: The study of Electronic Medical Record (EMR) in Thailand

The explosive growth in technology usage has put growing pressure on organizations to serve customers electronically. Healthcare service, as one of data intensive industries, tries to serve their patients with excellent service in the timely manner when the data volume is growing faster than organizational infrastructure development. Because the hospital information system called Electronic Medical Record (EMR) is a powerful tool, and provides a multitude of benefits, many hospitals are today considering accepting, and adopting this technology to provide medical information and healthcare services in a better way. This study will extend applicability of the Technology Acceptance Model (TAM) to test user acceptance of EMR in the hospital context in Thailand. The study aims to investigate EMR characteristics which affect Electronic Medical Record (EMR) acceptance in the healthcare profession's belief perspective in hospital. This EMR acceptance measurement will help the organization forecast how healthcare professions' perception of EMR usage will affect and support the organizational development. The result can be used as a guideline for EMR implementation that may lead to a successful EMR initiative in Thailand.

[1]  Reza Barkhi,et al.  Determining the Intention to Use Biometric Devices: An Application and Extension of the Technology Acceptance Model , 2006, J. Organ. End User Comput..

[2]  George A. Marcoulides,et al.  Structural Equation Modeling: Structural equation modeling: an introduction , 2003 .

[3]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[4]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[5]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[6]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[7]  Cynthia K. Riemenschneider,et al.  Explaining Software Development tool Use with the Technology Acceptance Model , 2001, J. Comput. Inf. Syst..

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

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

[10]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[11]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[12]  John Shine,et al.  Extending the New Technology Acceptance Model to Measure the End User Information Systems Satisfaction in a Mandatory Environment: A Bank's Treasury , 2003, Technol. Anal. Strateg. Manag..

[13]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[14]  Mo Adam Mahmood,et al.  Factors Affecting Information Technology Usage: A Meta-Analysis of the Empirical Literature , 2001, J. Organ. Comput. Electron. Commer..