scholarly journals Data Quality and Digital Twins in Decision Support Systems of Oil and Gas Companies

Author(s):  
Tatyana Pavlovich ◽  
Elena Dron
2019 ◽  
Vol 26 (1) ◽  
pp. e000023
Author(s):  
Noura Hamade ◽  
Amanda Terry ◽  
Monali Malvankar-Mehta

BackgroundElectronic medical record (EMR) adoption in primary care has grown exponentially since their introduction in the 1970s. However, without their proper use benefits cannot be achieved. This includes: 1) the complete and safe documentation of patient information; 2) improved coordination of care; 3) reduced errors and 4) more involved patients. The use of EMRs is defined by practitioners using EMRs and their features to perform daily practice functions.ObjectiveThe purpose of this systematic review was to identify interventions aimed at improving EMR use in primary healthcare settings.MethodsTen online databases were searched to identify studies conducted in primary healthcare settings aimed at implementing interventions to observe the use of EMRs and directly measure the use of EMR functions or outcomes effected by the use of EMR functions.ResultsOf 2098 identified studies, 12 were included in the review. Results showed that interventions focused on the use of EMR functions, including referrals, electronic communication, reminders, use of clinical decision support systems and workflow management support functions, were five times more likely to show improvements in EMR use compared with controls. Interventions focused on data quality were five and a half times more likely to show improvements in EMR use compared with controls.ConclusionsIndividuals in primary healthcare settings aiming to improve EMR use would benefit from implementing interventions focused on EMR feature add-ons such as clinical decision support systems and customised referral templates, and provisions of educational materials, or financial incentives targeted at improving the use of EMR functions and data quality.


Author(s):  
Alejandro Vaisman

Today, information and timely decisions are crucial for an organization’s success. A decision support system (DSS) is a software tool that provides information allowing its users to make decisions timely and cost effectively. This is highly conditioned by the quality of the data involved, usually stored in a data warehouse, and by a sound and complete requirements analysis. In this chapter we show that conventional techniques for requirements elicitation cannot be used in DSS, and present a methodology denoted DSS-METRIQ, aimed at providing a single data quality-based procedure for complete and consistent elicitation of functional (queries) and nonfunctional (data quality) requirements. The outcomes of the process are a set of requirement documents and a specification of the operational data sources that can satisfy such requirements. We review the state-of-the-art in the field, and show that in spite of the tools and methodologies already proposed for the modeling and design of decision support systems, DSS-METRIQ is the first one that supports the whole process by means of an integral technique.


2011 ◽  
pp. 58-87 ◽  
Author(s):  
Alejandro Vaisman

Today, information and timely decisions are crucial for an organization’s success. A Decision Support System is a software tool that provides information allowing its users to take decisions timely and cost-effectively. This is highly conditioned by the quality of the data involved, usually stored in a data warehouse, and by a sound and complete requirements analysis. In this chapter we show that conventional techniques for requirements elicitation cannot be used in Decision Support Systems, and present a methodology denoted DSS-METRIQ, aimed at providing a single data quality-based procedure for complete and consistent elicitation of functional (queries) and non-functional (data quality) requirements. The outcomes of the process are a set of requirement documents and a specification of the operational data sources that can satisfy such requirements. We review the state-of-the-art in the field, and show that in spite of the tools and methodologies already proposed for the modeling and design of Decision Support Systems, DSS-METRIQ is the first one that supports the whole process by means of an integral technique.


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