Decision Support in Office Information Systems

Author(s):  
G. Bracchi ◽  
B. Pernici
1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.


1992 ◽  
Vol 35 (1) ◽  
pp. 70-70
Author(s):  
F. Noble

1985 ◽  
pp. 297-322 ◽  
Author(s):  
S. K. Chang ◽  
P. Chan ◽  
T. D. Donnadieu ◽  
L. Leung ◽  
F. Montenoise

2009 ◽  
Author(s):  
Hepu Deng ◽  
Santoso Wibowo ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
Hideki Katagiri ◽  
...  

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.


1992 ◽  
pp. 9-21
Author(s):  
José Palazzo M. de Oliveira ◽  
Duncan D. Alcoba Ruiz

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Rapitos Sidiq

Electronic prescription is one of information systems to support medical services based on computer technology to support clinical decision (Clinical Decision Support, CDS). Studies proved that the use of this system can decrease medication error. One of the hospitals that have applied this system is Meuraxa Hospital. This study aimed to determine the acceptance behavior of electronic prescription information systems. The respondents of this study were 30 doctors at specialist clinic. Data was collected by distributing questionnaires on August 1st-23rd, 2016. Data was processed using SmartPLS 3.0. Results showed that there was a positive effect of effort expectancy factor on behavioral intention and facilitating factors on the use behavior towards receipt of electronic prescription. It is expected that the management of Meuraxa hospital develop an existing electronic prescription system by accommodating the needs of the system users.


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