An Operating Theater Planning Decision Support System

2013 ◽  
pp. 69-86 ◽  
Author(s):  
Carlos Gomes ◽  
Fabrício Sperandio ◽  
Arnon Peles ◽  
José Borges ◽  
António Carvalho Brito ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Hospitals ◽  
System Component ◽  
Operating Theater ◽  
Planning Processes ◽  
Planning Decision ◽  
And Performance ◽  
Main Components

The operating theater is the biggest hospital budget expenditure. The usage of surgery related resources and its intrinsic planning must be carefully devised in order to achieve better operational performance. However, from long to short term planning, the decision processes inherent to the operating theater are often the subject of empiricism. Moreover, the current hospital information systems available in Portuguese public hospitals lack a decision support system component, which could assist in achieving better planning solutions. This work reports the development of a centralized system for the operating theater planning to support decision-making tasks of surgeons, chief specialty managers, and hospital administration. Its main components concern surgery scheduling, operating theater’s resource allocation and performance measurement. The enhancement of the planning processes, the increase of policy compliance, and the overall performance of the operating theater compared to the former methodologies are also discussed.

An Operating Theater Planning Decision Support System

2015 ◽  
pp. 868-885
Author(s):  
Carlos Gomes ◽  
Fabrício Sperandio ◽  
Arnon Peles ◽  
José Borges ◽  
António Carvalho Brito ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Hospitals ◽  
System Component ◽  
Operating Theater ◽  
Planning Processes ◽  
Planning Decision ◽  
And Performance ◽  
Main Components

The operating theater is the biggest hospital budget expenditure. The usage of surgery related resources and its intrinsic planning must be carefully devised in order to achieve better operational performance. However, from long to short term planning, the decision processes inherent to the operating theater are often the subject of empiricism. Moreover, the current hospital information systems available in Portuguese public hospitals lack a decision support system component, which could assist in achieving better planning solutions. This work reports the development of a centralized system for the operating theater planning to support decision-making tasks of surgeons, chief specialty managers, and hospital administration. Its main components concern surgery scheduling, operating theater's resource allocation and performance measurement. The enhancement of the planning processes, the increase of policy compliance, and the overall performance of the operating theater compared to the former methodologies are also discussed.

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

Decision Support System for Wind Farm Installation Using Bipolar Analysis

2015 ◽  
pp. 1-21 ◽  
Author(s):  
Yasmina Bouzarour-Amokrane ◽  
Ayeley P. Tchangani ◽  
François Pérès
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Wind Energy ◽  
Support System ◽  
Large Scale ◽  
Wind Farm ◽  
Negative Impact ◽  
Life Quality ◽  
Energy Projects ◽  
And Performance

The necessity to control and reduce the negative impact of human activities on environment and life quality along with technology progress in renewable energy in general and wind energy in particular render it possible today to consider wind energy projects on a large scale. Developing wind energy on a large scale however raises other problems such as choosing an adequate site to settle a wind farm where many other issues such technical feasibility and performance levels, visual pollution, economic and social concerns, etc. must be addressed. Such decisions usually involve many parameters and necessitate the collaboration of many stakeholders. In this context, this chapter proposes an approach based on the concept of bipolar analysis through Benefit Opportunity Cost and Risk (BOCR) analysis, which permits one to address correctly a Group Decision-Making Problem (GDMP) to build a decision support system in order to assist the wind farm installation process.

scholarly journals INTEROPERABILITY OF INFORMATION SYSTEM COMPONENTS FOR MONITORING OF SEWAGE AND INTELLIGENT ANALYSIS OF WATER RESOURCES / INFORMACINIŲ SISTEMŲ KOMPONENTŲ SĄVEIKUMAS VYKDANT NUTEKAMŲJŲ VANDENŲ STEBĖSENĄ IR INTELEKTINĘ VANDENS IŠTEKLIŲ ANALIZĘ

2008 ◽  
Vol 14 (3) ◽  
pp. 260-278 ◽  
Author(s):  
Dalė Dzemydienė ◽  
Saulius Maskeliūnas ◽  
Ignas Dzemyda
Keyword(s):  
Sustainable Development ◽  
Information System ◽  
Decision Support ◽  
Resource Management ◽  
Web Services ◽  
Decision Support System ◽  
Water Resource ◽  
Support System ◽  
Water Resource Management ◽  
Main Components

The interoperability problems of distributed databases are important in the developing of the operatively working web services aimed for all sectors of public administration. The following web services are designed for solving tasks in water resource management and contamination evaluation sector with a due attention to the international environment protection context. The paper is devoted to problems of developing the component‐based architecture of the integrated decision‐support system that afford ground for the monitoring and intellectual analysis of water management. Such investigations are made according to the requirements of European Union (EU) Water Framework Directive, Sustainable development Directives and EIONET ReportNet infrastructure. The main components of decision‐support system are analyzed by using different knowledge modelling and web service development techniques. The structure of water resource management information system (WRMIS) becomes the core of the decision‐support system in which web services are implemented. The main components for evaluation of processes of contamination and water monitoring are represented by data warehouse structures. The solutions to satisfy the interoperability requirements are demonstrated by architectural design decisions of the system, integrating the distributed data warehouses and geographical information system means. The web services are based on common portal technology. The organizational and political arrangements require deeper and stronger participation activities by all member states of EU in reporting, understanding the importance of sustainable development problems and risk evaluation possibilities. Santrauka Vandens išteklių valdymas ir nutekamojo vandens kokybės vertinimas yra viena svarbiausių problemų, susijusių su aplinkos apsaugos ir žmonių sveikatos uždaviniais. Vanduo yra vienas iš pagrindinių išteklių visiems biologinės įvairovės gyvavimo ciklams egzistuoti. Vandens kokybės reikalavimai daro įtaką daugeliui darniosios plėtros reikalavimų. Aplinkos apsaugos principai susideda iš daugelio tarpusavyje sąveikaujančių komponentų. Didelių įmonių, institucijų ir organizacijų veikla turėtų būti grindžiama įvairiopa atsakomybe už daromos veiklos ir žalos aplinkai padarinius. Nagrinėjami informacinių sistemų, vykdančių vandens užterštumo stebėseną ir analizę, sąveikumo užtikrinimo klausimai. Informacijos perteikimo metodai yra svarbūs kuriant konsultacines sistemas, kurios padėtų spręsti daugelį sprendimų priėmimo problemų, vertinant kompleksinius aplinkos taršos procesus. Šiame straipsnyje analizuojami pagrindiniai sprendimų paramos sistemos kūrimo komponentai aplinkos vertinimo sektoriuje, leidžiantys efektyviau spręsti šias problemas naudojant E-tinklus (vertinimo tinklus, t. y. Petri tinklų praplėtimą). Modeliai, leidžiantys atvaizduoti ir vertinti sprendimų priėmimo procesus, projektuojami keliais detalumo lygmenimis, taikant semantinio informacijos struktūrizavimo ir imitacinio modeliavimo priemones. Taršos procesai stebimi vykdant monitoringą, pirminius duomenis fiksuojant daugiamatėse duomenų saugyklose ir perteikiant vartotojams sprendimų paramos sistemos analizės priemonėmis. Aprašomi vandens išteklių ir nuotekų kontrolės duomenų analizės modeliai ir gauti rezultatai. Straipsnyje analizuojami pagrindiniai sprendimų paramos sistemos komponentai ir spendimams priimti svarbūs vandens ir aplinkos vertinimo rezultatai.

Predictive modelling analysis for development of a radiotherapy decision support system in prostate cancer: a preliminary study

2017 ◽  
Vol 16 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Kwang Hyeon Kim ◽  
Suk Lee ◽  
Jang Bo Shim ◽  
Kyung Hwan Chang ◽  
Yuanjie Cao ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Support ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Predictive Modelling ◽  
Radiotherapy Planning ◽  
Support Vector ◽  
Toxicity Prediction ◽  
Planning Decision

AbstractPurposeThe aim of this study is to develop predictive models to predict organ at risk (OAR) complication level, classification of OAR dose-volume and combination of this function with our in-house developed treatment decision support system.Materials and methodsWe analysed the support vector machine and decision tree algorithm for predicting OAR complication level and toxicity in order to integrate this function into our in-house radiation treatment planning decision support system. A total of 12 TomoTherapyTM treatment plans for prostate cancer were established, and a hundred modelled plans were generated to analyse the toxicity prediction for bladder and rectum.ResultsThe toxicity prediction algorithm analysis showed 91·0% accuracy in the training process. A scatter plot for bladder and rectum was obtained by 100 modelled plans and classification result derived. OAR complication level was analysed and risk factor for 25% bladder and 50% rectum was detected by decision tree. Therefore, it was shown that complication prediction of patients using big data-based clinical information is possible.ConclusionWe verified the accuracy of the tested algorithm using prostate cancer cases. Side effects can be minimised by applying this predictive modelling algorithm with the planning decision support system for patient-specific radiotherapy planning.

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