A Model Driven Approach to Automate the Implementation of Clinical Guidelines in Decision Support Systems

2008 ◽  
Author(s):  
Ivan Porres ◽  
Eladio Domínguez ◽  
Beatriz Pérez ◽  
Áurea Rodríguez ◽  
María A. Zapata
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Guidelines ◽  
Support Systems ◽  
Model Driven ◽  
Model Driven Approach

Modelling Spatial Decision Support Systems Focused on the Development of a Data Warehouse

2014 ◽  
Vol 6 (3) ◽  
pp. 43-64
Author(s):  
Concepción M. Gascueña ◽  
Rafael Guadalupe
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Data Warehouse ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Model Driven ◽  
Engineering Software ◽  
Development Methodology ◽  
Software Engineering Process ◽  
Integration Problems

Nowadays, organizations have plenty of data stored in DB databases, which contain invaluable information. Decision Support Systems DSS provide the support needed to manage this information and planning medium and long-term “the modus operandi” of these organizations. Despite the growing importance of these systems, most proposals do not include its total development, mostly limiting itself on the development of isolated parts, which often have serious integration problems. Hence, methodologies that include models and processes that consider every factor are necessary. This paper will try to fill this void as it proposes an approach for developing spatial DSS driven by the development of their associated Data Warehouse DW, without forgetting its other components. To the end of framing the proposal different Engineering Software focus (The Software Engineering Process and Model Driven Architecture) are used, and coupling with the DB development methodology, (and both of them adapted to DW peculiarities). Finally, an example illustrates the proposal.

An Examination of Inter-Organizational Decision Support Systems

2005 ◽  
pp. 248-265
Author(s):  
Daniel J. Power ◽  
Shashidhar Kaparthi
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Model Driven ◽  
External Stakeholders ◽  
Recent Developments

A broad range of Inter-Organizational Decision Support Systems (IODSSs) can be built to support external stakeholders of an organization. This article examines recent developments associated with building and deploying such systems. The IODSS concept is defined, and an information technology architecture for such a system is explored. Examples of current implementations are categorized as communication, data, document, knowledge, and model-driven IODSSs. Further, implementations of IODSSs are categorized as customer- and supplier-focused. Advantages, disadvantages, and current issues associated with IODSSs conclude the discussion.

scholarly journals Supporting Decision-Makers: An Expanded Framework

10.28945/2384 ◽  
2001 ◽  
Author(s):  
Daniel Power
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Data Driven ◽  
Web Based ◽  
Client Server ◽  
Model Driven ◽  
Mainframe Computer ◽  
External Stakeholders

A conceptual framework for Decision Support Systems (DSS) is developed based on the dominant technology component or driver of decision support, the targeted users, the specific purpose of the system and the primary deployment technology. Five generic categories based on the dominant technology component are proposed, including Communications-Driven, Data-Driven, Document-Driven, Knowledge-Driven, and Model-Driven Decision Support Systems. Each generic DSS can be targeted to internal or external stakeholders. DSS can have specific or very general purposes. Finally, the DSS deployment technology may be a mainframe computer, a client/server LAN, or a Web-Based architecture. The goal in proposing this expanded DSS framework is to help people understand how to integrate, evaluate and select appropriate means for supporting and informing decision-makers.

Towards a Traceable Clinical Guidelines Application

2010 ◽  
Vol 49 (06) ◽  
pp. 571-580 ◽  
Author(s):  
E. Domínguez ◽  
M. Zapata ◽  
B. Pérez
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Human Resource ◽  
Clinical Guidelines ◽  
Development Process ◽  
Clinical Guideline ◽  
Support Systems ◽  
Tool Chain ◽  
Application Data ◽  
Resource Costs

Summary Objectives: The goal of this research is to provide an overall framework to enable modelbased development of clinical guideline-based decision support systems (GBDSSs). The automatically generated GBDSSs are aimed at providing guided support to the physician during the application of guidelines and automatically storing guideline application data for traceability purposes. Methods: The development process of a GBDSS for a guideline is based on modeldriven development (MDD) techniques which allow us to carry out such a process automatically, making development more agile and saving on human resource costs. We use UML Statecharts to represent the dynamics of guidelines and, based on this model, we use a MDD-based tool chain to generate the guideline-dependent components of each GBDSS in an automatic way. In particular, as for the traceability capabilities of each GBDSS, MDD techniques are combined with database schema mappings for metadata management in order to automatically generate the GBDSS-persistent component as one of the main contributions of this paper. Results: The complete framework has been implemented as an Eclipse plug-in named GBDSSGenerator which, starting from the statechart representing a guideline, allows the development process to be carried out automatically by only selecting different menu options the plug-in provides. We have successfully validated our overall approach by generating the GBDSS for different types of clinical guidelines, even for laboratory guidelines. Conclusions: The proposed framework allows the development of clinical guideline-based decision support systems in an automatic way making this process more agile and saving on human resource costs.

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