Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design

2011 ◽  
Vol 29 (1) ◽  
pp. 159-201 ◽  
Author(s):  
Nick Cercone ◽  
Xiangdong An ◽  
Jiye Li ◽  
Zhenmei Gu ◽  
Aijun An
Author(s):  
Pratima Saravanan ◽  
Jessica Menold

With the rapid increase in the global amputee population, there is a clear need to assist amputee care providers with their decision-making during the prosthetic prescription process. To achieve this, an evidence-based decision support system that encompasses existing literature, current decision-making strategies employed by amputee care providers and patient-specific factors is proposed. Based on an extensive literature review combined with natural language processing and expert survey, the factors influencing the current decision-making of amputee care providers in prosthetic prescription were identified. Following that, the decision-making strategies employed by expert and novice prosthetists were captured and analyzed. Finally, a fundamental understanding of the effect gait analysis has on the decision-making strategies of prosthetists was studied. Findings from this work lay the foundation for developing a real-time decision support system integrated with a portable gait analysis tool to enhance prescription processes. This is critical in the low-income countries where there is a scarcity of amputee care providers and resources for an appropriate prescription.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Elisa Purba ◽  
Desi Vinsensia ◽  
Yulia Utami

<p><em>During this time the determination of the best homeroom teacher at MIS Nurul Huda Pantai Labu  was still using a manual process , so the results were not optimal. In this study the  decision support system was built to facilitate the school in determining the best homeroom teacher using the Topsis method. The criteria used are 5: attendance, organizational experience, data on student achievement, interaction with students, and final education. This system design application is expected to help the school principal in making decisions about determining the best homeroom teacher</em></p>


Author(s):  
Kijpokin Kasemsap

This chapter indicates the advanced issues of health informatics; the advanced issues of Clinical Decision Support System (CDSS); CDSS and Computerized Physician Order Entry (CPOE); the false positive alerts in CDSS; and CDSS and biomedical engineering. Health informatics and CDSS are the advanced health care technologies with the support of many technological fields. Health informatics and CDSS apply various computerized devices to provide enhanced health-related outcomes in terms of problem solving, analytical thinking, and decision making. Health informatics and CDSS help clinicians and health care providers to make complex information useful in supporting clinical decisions, thus delivering the best standard of care for each patient. The chapter argues that utilizing health informatics and CDSS has the potential to increase health outcomes and reach strategic goals in global health care.


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.


Author(s):  
Barbara J. Barnett

This symposium addresses the characterization of human decision making within a complex environment for the purpose of developing improved decision support systems. All of the work presented in this symposium was conducted under a Navy research program entitled “Tactical Decision Making Under Stress” (TADMUS). The overall objective of the TADMUS program is to improve tactical decision making of anti-air warfare (AAW) crew members within the Aegis cruiser's combat information center (CIC) under conditions of stress and uncertainty. The unique aspect of this effort is that each presentation addresses decision making behavior, within a single domain, from a different perspective. The goal of each effort is to characterize some aspect of expert decision making performance within the AAW task environment, and to make recommendations for the resulting decision support system design based upon these characterizations. The result is a multi-faceted, human-centered approach to information organization and interface display design for a decision support system.


2019 ◽  
Vol 21 (1) ◽  
pp. 53-84 ◽  
Author(s):  
Partha Saha

To reduce inequity in maternal and child health care indicators among socio-economically different regions, strategic location-specific policies should be designed. In this research work, a knowledge-discovery-based interactive decision support system has been developed on a web platform which would assist health care policymakers to design evidence-based decisions. Two modules have been prepared under this system to find out key influential Maternal and Child Healthcare (MCH) interventions for socio-economically different regions which had high impact on health care indicators. Data of 284 districts of nine high-focus states of India have been provided into the system to find out the efficiency of the system. Those data have been collected from district- level household survey part three (DLHS-3). The first module of the system has segregated all 284 districts into three segments based on their educational, social and economic conditions, and the second module has found out key influential health care interventions for all three segments separately which had high impact on health care indicators. It has been observed that adolescent health care intervention like female sterilization and childhood health care interventions such as DPT (diphtheria, pertussis, and tetanus) vaccine and measles vaccine were key influential health care interventions. The improvement of coverage of these interventions would help to reduce inequity and improve health care indicators of regions. Further research should be done to understand how the coverage of these interventions can be improved, especially in socio-economically poor regions.


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