THE DEVELOPMENT OF CLINICAL DECISION SUPPORT SYSTEM ACCEPTANCE MODEL FOR DOKTER
Clinical decision support system (CDSS) has long been developed and implemented in many <br /> <br /> <br /> <br /> <br /> health institutions but its adopting among doctors is low especially in Indonesia. In Indonesia <br /> <br /> <br />...
Saved in:
Main Author: | |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/18785 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Clinical decision support system (CDSS) has long been developed and implemented in many <br />
<br />
<br />
<br />
<br />
health institutions but its adopting among doctors is low especially in Indonesia. In Indonesia <br />
<br />
<br />
<br />
<br />
there are only a few hospitals that have used CDSS and the usage of this CDSS is very often <br />
<br />
<br />
<br />
<br />
no abligatory, so that in many case the systems are not optimally utilised <br />
<br />
<br />
<br />
<br />
The purpose of this study is to construct a model of CDSS acceptance by physicians and <br />
<br />
<br />
<br />
<br />
analyze the factors that influence acceptance. The research model was built using the basic <br />
<br />
<br />
<br />
<br />
model of unified theory of acceptance and use of technology (UTAUT). There are fourteen <br />
<br />
<br />
<br />
<br />
hypotheses developed in this study and processed using Structural Equation Modeling (SEM) <br />
<br />
<br />
<br />
<br />
with the support of LISREL applications. <br />
<br />
<br />
<br />
<br />
In the data collection using survey conducted by distributing questionnaires in paper form <br />
<br />
<br />
<br />
<br />
and online, 190 respondens were collected from a wide range of expertise. In this research, <br />
<br />
<br />
<br />
<br />
the results of data processing show that the use of CDSS is significanly influenced directly <br />
<br />
<br />
<br />
<br />
and indirectly bybehavioral intention, performance expectancy, effort expectancy, <br />
<br />
<br />
<br />
<br />
compatibility, information quality, system quality, self efficacy, level of involvement, trust in <br />
<br />
<br />
<br />
<br />
knowledge base, social influence, andfacilitating condition |
---|