Model-based Decision Support System to Improve Diabetes Care and Management

2009 ◽  
Vol 42 (12) ◽  
pp. 43-48
Author(s):  
E. Salzsieder ◽  
L. Vogt ◽  
K.-D. Kohnert ◽  
P. Heinke ◽  
P. Augstein
2007 ◽  
Vol 18 (1) ◽  
pp. 56-79
Author(s):  
Hokey Min ◽  
Hyun-Jeung Ko ◽  
Chin-Soo Lin

With the unprecedented growth of international trade, a growing number of multinational firms have coped with logistical challenges of shipping products to and from unfamiliar territories in many countries. These logistical challenges include the cross-border transportation of products originated from inland port to another inland port isolated from major waterways. In particular, the lack of access to major waterways would not only constrain the intermodal transportation option, but also make door-to-door, containerized delivery services nearly impossible. Such a limited option would eventually lead to increased transportation costs and transit time, and thereby offset low-cost global sourcing advantages. To aid multinational firms in addressing the problem of determining the optimal supply chain link between inland origin and destinations ports, this article proposes a shortest-path model based decision support system. The usefulness of the proposed model-based decision support system was validated by its application to a real problem encountered by a multinational firm that would like to strengthen its foothold in the Chinese market.


1999 ◽  
Vol 38 (04/05) ◽  
pp. 313-316 ◽  
Author(s):  
N. Shahsavar ◽  
H. Gill ◽  
G. Collste

AbstractIn this paper the design and implementation of a decision support system for diabetes care is examined from an ethical perspective. It is noted that the system creates potential for enhancing the realization of the principle of autonomy through improved information to patients and participation by patients. However, there is also potential for using the system in a way that is contrary to good health care. It may provide patients with information they are unable to interpret and handle, and it may be used by healthcare authorities for controlling their personnel in ways contrary to good quality working conditions. In order for a decision support system to function as a well-integrated element in ethically based health care, different ethical aspects have to be taken into account during the design of the system. The ethical aspects also constitute one perspective of a systematic re-evaluation and re-design process.


2009 ◽  
Vol 65 (2) ◽  
pp. 155-167 ◽  
Author(s):  
D.J. Parsons ◽  
L.R. Benjamin ◽  
J. Clarke ◽  
D. Ginsburg ◽  
A. Mayes ◽  
...  

2007 ◽  
Vol 1 (3) ◽  
pp. 296-300
Author(s):  
Yan Zhu ◽  
Liang Tang ◽  
Xiaojun Liu ◽  
Yongchao Tian ◽  
Xia Yao ◽  
...  

Author(s):  
M Ghoddusi Johari ◽  
M H Dabaghmanesh ◽  
H Zare ◽  
A R Safaeian ◽  
Gh Abdollahifard

Background: Diabetes is a serious chronic disease, and its increasing prevalence is a global concern. If diabetes mellitus is left untreated, poor control of blood glucose may cause long-term complications. A big challenge encountered by clinicians is the clinical management of diabetes. Many IT-based interventions such ad CDSS have been made to improve the adherence to the standard care for chronic diseases.Objective: The aim of this study is to establish a decision support system of diabetes management based on diabetes care guidelines in order to reduce medical errors and increase adherence to guidelines.Materials and Methods: To start the process, at first the existing guidelines in the field of diabetes mellitus such as ADA 2017 and AACE guideline 2017 were reviewed, and accordingly, flowcharts and algorithms for screening and managing of diabetes were designed. Then, it was passed on to the information technology team to design software.Results: The most significant outcome of this research was to establish a smart diabetic screening and managing software, which is an important stride to promote patients' health status, control diabetes and save patients' information as an important and reliable source. Conclusion: Health care technologies have the potential to improve the quality of diabetes care through IT-based intervention, such as clinical decision support systems. In a chronic disease like diabetes, the critical component is the disease management. The advantages of this web-based system are on-time registration, reports of diabetic prevalence, uncontrolled diabetes, diabetic complications and reducing the rate of mismanagement of diabetes, so that it helps the physicians in order to manage the patients in a better way.


2019 ◽  
Vol 1255 ◽  
pp. 012082
Author(s):  
Taufiq ◽  
Herman Mawenkang ◽  
M. Zarlis ◽  
Saib Suwilo

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