scholarly journals Patients’ Prioritization on Surgical Waiting Lists: A Decision Support System

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1097
Author(s):  
Fabián Silva-Aravena ◽  
Eduardo Álvarez-Miranda ◽  
César A. Astudillo ◽  
Luis González-Martínez ◽  
José G. Ledezma

Currently, in Chile, more than a quarter-million of patients are waiting for an elective surgical intervention. This is a worldwide reality, and it occurs as the demand for healthcare is vastly superior to the clinical resources in public systems. Moreover, this phenomenon has worsened due to the COVID-19 sanitary crisis. In order to reduce the impact of this situation, patients in the waiting lists are ranked according to a priority. However, the existing prioritization strategies are not necessarily systematized, and they usually respond only to clinical criteria, excluding other dimensions such as the personal and social context of patients. In this paper, we present a decision-support system designed for the prioritization of surgical waiting lists based on biopsychosocial criteria. The proposed system features three methodological contributions; first, an ad-hoc medical record form that captures the biopsychosocial condition of the patients; second, a dynamic scoring scheme that recognizes that patients’ conditions evolve differently while waiting for the required elective surgery; and third, a methodology for prioritizing and selecting patients based on the corresponding dynamic scores and additional clinical criteria. The designed decision-support system was implemented in the otorhinolaryngology unit in the Hospital of Talca, Chile, in 2018. When compared to the previous prioritization methodology, the results obtained from the use of the system during 2018 and 2019 show that this new methodology outperforms the previous prioritization method quantitatively and qualitatively. As a matter of fact, the designed system allowed a decrease, from 2017 to 2019, in the average number of days in the waiting list from 462 to 282 days.

2020 ◽  
Vol 23 (6) ◽  
pp. 148-160
Author(s):  
E. A. Averchenkova

Purpose of research. This paper is a description of the methodology for regional socio-economic system management based on the principles and concepts of management theory. Methods. A methodology for regional socio-economic system managing has been developed, taking into account the impact of National projects and the influence of the external environment. The methodology consists of six stages and fourteen techniques that allow describing the regional socio-economic system management in terms and tools of the management theory: the region itself is considered as an object of management experiencing a controlling action formed under some affecting influence. The methodology also assumes the formalization of a negative feedback system and a control system in the developed model of regional socio-economic system management. Results. The methodology of managing the regional socio-economic system can be used in the management process. Those who make management decisions at the regional level usually rely on their own professional skills, past experience, and intuition. However, the heuristic approach to regional management can be extended by the capabilities of the developed methodology, the practical implementation of which can be presented as a decision support system. This will allow regional governments to improve the effectiveness of management decisions based on monitoring the state of socio-economic systems. Conclusion. The methodology for managing the regional socio-economic system provides a complete management cycle: from the formalization of basic concepts to the description of the control and feedback system. The information implementation of the methodology is presented in the form of an automated product – a decision support system - that can be used in the formation of an automated workplace for civil servants. 


2020 ◽  
Vol 10 (4) ◽  
pp. 612-619
Author(s):  
P.E. Shumilin ◽  
◽  
V.A. Eremenko ◽  

The digital development of the economy opens up new horizons for accounting. On the one hand, dissolution of accounting in corporate management systems takes place, on the other hand, the accounting functions for managing economic information remain relevant. This article uses the accounting modeling method. We offer a five-blocks accounting model of the decision support system. The model is formed by such blocks as the interface for collecting primary data on company transactions in the context of the formation of financial, managerial, strategic accounting accounts, ETL (extract, transform, loading) of processes for combining credentials from various sources within the framework of a structured work plan of accounts; predicted accounting iterations, having a synergistic, reorganization, reorganization, immunization, hedging and other areas; express audit of the management decision, which consists in assessing the impact of the management decision on the effectiveness of the company, which includes such elements as tax and legal expertise; SWOT analysis; reporting visualization tools that allow you to generate different types of reporting: financial, managerial, statistical, not just in tabular form, but using digital visualization methods; accounting and analytical indicators of managerial decisions, which can be described as a system of indicators reflecting the financial and economic situation of the enterprise under the influence of managerial decisions; the state of its financial stability, profitability, solvency, liquidity; the size of the property of the founders. The introduction and use of this model will allow generating relevant accounting information based on the needs of management, supporting the adoption of management decisions at a scientifically sound level that meets the criteria of business efficiency and protect the interests of owners.


2004 ◽  
Vol 20 (03) ◽  
pp. 147-163
Author(s):  
Osman Turan ◽  
Selim Alkaner ◽  
Aykut i. Ölçer

Ship design today can be viewed as an ad hoc process. It must be considered in the context of integration with other design development activities, such as production, costing, quality control, and so forth. Otherwise, it is possible for the designer to design a ship that is difficult to produce, requires high material or labor cost, or contains some design flaws that the production engineers have to correct or send back for redesigning before production can be done. Any adjustment required after the design stage will result in a penalty of extra time or cost. Deficiencies in the design of a ship will influence the succeeding stages of production. In addition to designing a ship that fulfills producibility requirements, it is also desirable to design a ship that satisfies risk, performance, cost, and customer requirements criteria. More recently, environmental concerns, safety, passenger comfort, and life-cycle issues are becoming essential parts of the current shipbuilding industry. Therefore, "design for X paradigm" should also be considered during the ship design stages. An integrated multiple attributive decision support system for producibility evaluation in ship design (PRODEVIS) is developed to use by industry and researchers in evaluating the producibility of competing ship designs and design features during the early stages of ship design by taking into account cost, performance, risk, and "design for X paradigm" attributes. This developed approach is a fuzzy multiple attributive group decision-making methodology where feasible design alternatives are conducted by a ship production simulation technique. In this approach, an attribute-based aggregation technique for a heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the ship design evaluation problem. The developed methodology is illustrated with a case study.


2020 ◽  
Vol 55 (11) ◽  
pp. 1267-1282
Author(s):  
Ramiro Meza-Palacios ◽  
Alberto A. Aguilar-Lasserre ◽  
Luis F. Morales-Mendoza ◽  
José O. Rico-Contreras ◽  
Luis H. Sánchez-Medel ◽  
...  

2009 ◽  
Vol 60 (8) ◽  
pp. 2077-2084 ◽  
Author(s):  
G. Stuart ◽  
A. Hollingsworth ◽  
F. Thomsen ◽  
S. Szylkarski ◽  
S. Khan ◽  
...  

Gold Coast Water is responsible for the management of the water, recycled water and wastewater assets of the City of the Gold Coast on Australia's east coast. Excess treated recycled water is released at the Gold Coast Seaway, a man-made channel connecting the Broadwater Estuary with the Pacific Ocean, on an outgoing tide in order for the recycled water to be dispersed before the tide changes and re-enters the Broadwater estuary. Rapid population growth has placed increasing demands on the city's recycled water release system and an investigation of the capacity of the Broadwater to assimilate a greater volume of recycled water over a longer release period was undertaken in 2007. As an outcome, Gold Coast Water was granted an extension of the existing release licence from 10.5 hours per day to 13.3 hours per day from the Coombabah wastewater treatment plant (WWTP). The Seaway SmartRelease Project has been designed to optimise the release of the recycled water from the Coombabah WWTP in order to minimise the impact to the receiving estuarine water quality and maximise the cost efficiency of pumping. In order achieve this; an optimisation study that involves intensive hydrodynamic and water quality monitoring, numerical modelling and a web-based decision support system is underway. An intensive monitoring campaign provided information on water levels, currents, winds, waves, nutrients and bacterial levels within the Broadwater. This data was then used to calibrate and verify numerical models using the MIKE by DHI suite of software. The Decision Support System will then collect continually measured data such as water levels, interact with the WWTP SCADA system, run the numerical models and provide the optimal time window to release the required amount of recycled water from the WWTP within the licence specifications.


2012 ◽  
Vol 16 (4) ◽  
pp. 370-391 ◽  
Author(s):  
Jūratė Šliogerienė ◽  
Artūras Kaklauskas ◽  
Dalia Štreimikienė ◽  
Massimo Bianchi

Comprehension of the effect of energy generation technologies on the natural environment, human health and safety leads to a new and responsible approach to the choice and development of technologies. When it comes to preparing energy growth scenarios and handling issues related to the choice and assessment of technologies, environmental studies must be in a particular spotlight. One way to make quantitative and qualitative assessment of the effect of technologies on the environment is through a thorough integrated analysis, which, in addition to economic and technical solutions, also considers other aspects of concern to the public. A changed environment demands for systems of criteria which help consider its changes, the attitudes of the general public, public sentiments toward the effect of technologies, public values and community involvement in the process of important decision-making. The article examines how the dimension of values affects the analysis of the impact of environmental factors on the value of energy generation technologies. It presents a set of criteria for the assessment of energy generation technologies; the set, in addition to technological, economic and environmental criteria, includes criteria which reflect the values. The article also introduces the expert decision support system EGTAV-SPS, which helped assess the effect of environment on energy production technologies.


Author(s):  
Suvit Nopachai ◽  
Sherry Perdue Casali

An experiment was conducted to examine how the use of a group decision support system (GDSS) influences the formation of group consensus. In a task requiring group members to jointly prioritize a list of items, 12 groups of eight members each were randomly assigned to one of three experimental conditions involving different levels of technological meeting support: (1) a group decision support system, (2) a manual counterpart to the structure imposed by the GDSS, and (3) no structured support. Measures of group consensus and perceived consensus, decision quality and perceived decision quality, and perceived opportunity to express views were made. The results revealed that the measures of consensus, decision quality and perceived decision quality, and perceived opportunity to express views were all similar across the three levels of technology investigated. Only perceived consensus was found to vary across conditions. The practical implications of these results are discussed.


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