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 />...

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Bibliographic Details
Main Author: MATOVANI( NIM: 23412040 ); Pembimbing : Dr. Rajesri Govindaraju, KARINA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/18785
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Institution: Institut Teknologi Bandung
Language: Indonesia
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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