scholarly journals Improving Quality of Services in Maternity Care Triage System

2015 ◽  
Vol 6 (2) ◽  
pp. 10-26 ◽  
Author(s):  
António Abelha ◽  
Eliana Pereira ◽  
Andreia Brandão ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
...  
Keyword(s):  
Emergency Department ◽  
Quality Of Services ◽  
Reliable System ◽  
Triage System ◽  
Manchester Triage System ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Medical Emergencies ◽  
Intelligent Decision Support

The main objectives in triage are to improve the quality of care and reduce the risks associated to the waiting time in emergency care. Thus, an efficient triage is a good way to avoid some future problems and how much quicker it is, more the patient can benefit. The most common triage system is the Manchester Triage System that is a reliable system focused in the emergency department of a hospital. However, its use is more suitable for more widespread medical emergencies and not for specialized cases, like Gynecological and Obstetrics emergencies. To overcome these limitations, an alternative pre-triage system, integrated into an intelligent decision support system, was developed in order to better characterize the patient and correctly defined her as urgent or not. This system allows the increase of patient's safety, especially women who need immediate care. This paper includes the workflow that describes the decision process in real time in the emergency department, when women are submitted to triage and identify points of evolution.

scholarly journals Improving Quality of Services in Maternity Care Triage System

2017 ◽  
pp. 840-859
Author(s):  
António Abelha ◽  
Eliana Pereira ◽  
Andreia Brandão ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
...  
Keyword(s):  
Emergency Department ◽  
Maternity Care ◽  
Decision Process ◽  
Triage System ◽  
Manchester Triage System ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Medical Emergencies ◽  
Intelligent Decision Support

The main objectives in triage are to improve the quality of care and reduce the risks associated to the waiting time in emergency care. Thus, an efficient triage is a good way to avoid some future problems and how much quicker it is, more the patient can benefit. The most common triage system is the Manchester Triage System that is a reliable system focused in the emergency department of a hospital. However, its use is more suitable for more widespread medical emergencies and not for specialized cases, like Gynecological and Obstetrics emergencies. To overcome these limitations, an alternative pre-triage system, integrated into an intelligent decision support system, was developed in order to better characterize the patient and correctly defined her as urgent or not. This system allows the increase of patient's safety, especially women who need immediate care. This paper includes the workflow that describes the decision process in real time in the emergency department, when women are submitted to triage and identify points of evolution.

scholarly journals Knowledge Acquisition Process for Intelligent Decision Support in Critical Health Care

2015 ◽  
pp. 270-284 ◽  
Author(s):  
Filipe Portela ◽  
Alexandra Cabral ◽  
António Abelha ◽  
Maria Salazar ◽  
César Quintas ◽  
...  
Keyword(s):  
Decision Support ◽  
Knowledge Acquisition ◽  
Triage System ◽  
Manchester Triage System ◽  
Intelligent Decision Support System ◽  
Use Of Resources ◽  
Intelligent Decision ◽  
Patient Arrival ◽  
The Right ◽  
Intelligent Decision Support

An efficient triage system is a good way to avoid some future problems and benefit the patient. However, a limitation still exists. The triage system is general and not specific to each case. Manchester Triage System is a reliable known system and is focused in the emergency department of a hospital. When applied to specific patients' conditions (such as pregnancy), it has several limitations. To overcome those limitations, an alternative triage system, integrated into an intelligent decision support system, was developed. The system classifies patients according to the severity of their clinical condition, establishing clinical priorities and not diagnosis. According to the urgency of attendance or problem type, it suggests one of three possible categories of the triage. This chapter presents the overall knowledge acquisition cycle associated with the workflow of patient arrival and the inherent decision making process. Results show that this new approach enhances the efficiency and the safety through the appropriate use of resources and by assisting the right patient in the right place, reducing the waiting triage time and the number in general urgency.

scholarly journals Knowledge Acquisition Process for Intelligent Decision Support in Critical Health Care

2013 ◽  
pp. 55-68 ◽  
Author(s):  
Filipe Portela ◽  
Alexandra Cabral ◽  
António Abelha ◽  
Maria Salazar ◽  
César Quintas ◽  
...  
Keyword(s):  
Decision Support ◽  
Knowledge Acquisition ◽  
Triage System ◽  
Manchester Triage System ◽  
Intelligent Decision Support System ◽  
Use Of Resources ◽  
Intelligent Decision ◽  
Patient Arrival ◽  
The Right ◽  
Intelligent Decision Support

An efficient triage system is a good way to avoid some future problems and benefit the patient. However, a limitation still exists. The triage system is general and not specific to each case. Manchester Triage System is a reliable known system and is focused in the emergency department of a hospital. When applied to specific patients’ conditions (such as pregnancy), it has several limitations. To overcome those limitations, an alternative triage system, integrated into an intelligent decision support system, was developed. The system classifies patients according to the severity of their clinical condition, establishing clinical priorities and not diagnosis. According to the urgency of attendance or problem type, it suggests one of three possible categories of the triage. This chapter presents the overall knowledge acquisition cycle associated with the workflow of patient arrival and the inherent decision making process. Results show that this new approach enhances the efficiency and the safety through the appropriate use of resources and by assisting the right patient in the right place, reducing the waiting triage time and the number in general urgency.

scholarly journals Fuzzy Query Database Untuk Sistem Pendukung Keputusan Yang Cerdas

2017 ◽  
Vol 1 (1) ◽  
pp. 107
Author(s):  
Poningsih Poningsih ◽  
Jalalludin Jalalludin
Keyword(s):  
Performance Feedback ◽  
Teaching And Learning ◽  
Faculty Performance ◽  
Intelligent Decision Support System ◽  
Fuzzy Query ◽  
Intelligent Decision ◽  
Output Quality ◽  
Intelligent Decision Support

The process of education and teaching is one of the acts of Tri Dharma College. The success of the learning process can not be separated from the role of a lecturer. Quality of faculty plays an important role in a college that wants to achieve the goal of teaching and learning processes that produce graduates (output) quality. Lecturer rated quality if it has the value of a good performance, which is reviewed from several aspects. This paper proposes an analysis based on the evaluation of faculty performance feedback using fuzzy query the database for intelligent decision support system. The value of diverse faculty performance, so as to the criteria of each lecturer is still ambiguous and still need to be clarified. Here will be determined three criteria of assessment of faculty performance is lacking, just and good. Of the three criteria are later obtained a recommendation to make a decision. Model rules obtained is the value of students and professors taken the maximum value, then rules obtained from students and professors taken minimum value, in order to obtain the value of the performance of lecturers as well as the criteria. Then the value of this performance, it can be used by institutions as advice on making a decision relating to a lecturer.

scholarly journals Or-Based Intelligent Decision Support System for E-Commerce

2021 ◽  
Vol 16 (4) ◽  
pp. 1150-1164
Author(s):  
Ke Zong ◽  
Yuan Yuan ◽  
Carlos Enrique Montenegro-Marin ◽  
Seifedine Nimer Kadry
Keyword(s):  
Information Society ◽  
It Professionals ◽  
Key Factors ◽  
Medium Term ◽  
Web Based ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Mechanical Quality ◽  
Fuzzy Logic Theory ◽  
Intelligent Decision Support

Aim: This paper aims to analyze, prepare, and review the general guidelines and rules that govern the development of key factors influencing the enhancement of emotionally supportive networks and selection models using fuzzy logic theory. The researchers have identified eight important components of the information society (IS), representing the computerized economy’s growth to explain a realistic framework for medium-term gauges and proposals. Materials and methods: A discrete-nonstop opportunity paradigm portrays the creation of the general framework, in which the mutual effects of each of the components are spoken to models within the state-space. The software’s mechanical quality offers improvement displayed along these lines that may indicate future interest to programing suppliers. The researchers have given supposed to the developments and interests of information technology (IT) professionals in R&D to provide insightful foundations. For example, this study will demonstrate the development of emotionally supportive networks and recommendations of choices for 3D-web-based businesses and their impact on mechanical advancement, examples of use and social behavior. Results: During an IS/IT foreknowledge undertaking completed in Poland in 2019 and sponsored by the Education Research and Development Foundation ERDF, the results were obtained.

scholarly journals Performance of the Manchester triage system in older emergency department patients: a retrospective cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Lisette Mignot-Evers ◽  
Floor Derkx ◽  
Suze L. Lambooij ◽  
Jeanne P. Dieleman ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Triage System ◽  
Manchester Triage System ◽  
Emergency Department Patients
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