Modeling The Acceptance Of Clinical Information Systems Among Hospital Medical Staff

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Modeling The Acceptance Of Clinical Information Systems Among Hospital Medical Staff

Abstract
Recent empirical research has utilized the Technology Acceptance Model (TAM) to advance the understanding of doctors’ and nurses’ technology acceptance in the workplace. However, the majority of the reported studies are either qualitative in nature or use small convenience samples of medical staff. Additionally, in very few studies moderators are either used or assessed despite their importance in TAM based research. The present study focuses on the application of TAM in order to explain the intention to use clinical information systems, in a random sample of 604 medical staff (534 physicians) working in 14 hospitals in Greece. We introduce physicians’ specialty as a moderator in TAM and test medical staff’s information and communication technology (ICT) knowledge and ICT feature demands, as external variables. The results show that TAM predicts a substantial proportion of the intention to use clinical information systems. Findings make a contribution to the literature by replicating, explaining and advancing the TAM, whereas theory is benefited by the addition of external variables and medical specialty as a moderator. Recommendations for further research are discussed.

Title Page

Certification/Declaration

Approval Page

Dedication

Acknowledgement

Abstract

Table of content

 

Chapter 1

Introduction

1:1 Introduction

1:2 Background of the Study

1:3 Statements of Problems

1:4 Objectives of the Study

1:5 Research Question

1:6 Study of the Hypothesis

1:7 Significance of the Study

1:8 Justification of the Study

1:9 Scope of the Study

1:10 Definition of Terms

 

Chapter 2

Literature Review

2:0 Introduction

2:1 Conceptual Clarification

2:2 Theoretical Framework

2:3 Literatures on the Subject Matter

 

Chapter 3

Research Methodology

3:0 Area of Study

3:1 Source of Data

3:2 Sampling Techniques

3:3 Method Data Collection

3:4 Method of Data Analysis

3:5 Reliability of Instrument

3:6 Validity of Instrument

3:7 Limitations of the Study

 

Chapter 4

Data Analysis

4:0 Introduction

4:1 Finding of the Study

4:2 Discussion of the Study

4:3 Summary

 

Chapter 5

Summary, Conclusion and Recommendation

5:0 Summary of Findings

5:1 Conclusion

5:2 Recommendations

5:3 Proposal for Further Studies

 

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