The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Arash Shabannejad - One of the best experts on this subject based on the ideXlab platform.
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pophr a knowledge based platform to Support Integration analysis and visualization of population health data
Annals of the New York Academy of Sciences, 2017Co-Authors: Arash Shabannejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
David L Buckeridge - One of the best experts on this subject based on the ideXlab platform.
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pophr a knowledge based platform to Support Integration analysis and visualization of population health data
Annals of the New York Academy of Sciences, 2017Co-Authors: Arash Shabannejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
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PopHR: a knowledge‐based platform to Support Integration, analysis, and visualization of population health data
Annals of the New York Academy of Sciences, 2016Co-Authors: Arash Shaban-nejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
Mark Mcgranaghan - One of the best experts on this subject based on the ideXlab platform.
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Achieving smart grid interoperability through collaboration
IET Conference Publications, 2009Co-Authors: Matt Wakefield, Mark McgranaghanAbstract:Numerous analyses, including the “Prism” analysis at the Electric Power Research Institute (EPRI), show that energy conservation and distributed resource Integration are critical elements of an overall strategy to reduce carbon emissions. The smart grid is the enabling infrastructure that makes much higher levels of distributed resource Integration possible. The value is maximized by leveraging Distributed Resources at both the local and overall system level as a “virtual power plant” to better match energy supply with demand along with related value-added benefits. Due to the complexity, number and scale of the systems and devices involved in creating a demand-side virtual power plant, interoperability between the various systems is the key to success. An interoperable smart grid fosters increased competition among suppliers, innovation, choice, reduced costs and reduced capital risk caused by technology or vendor obsolescence, and enables automation resulting in increased value and improved reliability. Unfortunately, interoperability cannot realistically be achieved by a single entity and requires collaboration from numerous organizations including utilities, regulatory bodies, standards bodies, vendors and more. An approach of structured regional utility demonstrations designed to promote and evaluate Integration of distributed resources at all levels of power system operations will further smart grid interoperability. Utilizing a standardized approach like the IntelliGrid® methodology to develop use cases and standard functional requirements can further communication, information, and control infrastructures required to Support Integration of emerging technologies as well as identify critical gaps in existing standards providing focus for future research and development.
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Achieving Smart Grid Interoperability through Collaboration Paper _ Id-2
Forum American Bar Association, 2008Co-Authors: Matt Wakefield, Mark McgranaghanAbstract:Numerous analyses, including the "Prism" analysis at the Electric Power Research Institute (EPRI), show that energy conservation and distributed resource Integration are critical elements of an overall strategy to reduce carbon emissions. The smart grid is the enabling infrastructure that makes much higher levels of distributed resource Integration possible. The value is maximized by leveraging Distributed Resources at both the local and overall system level as a "virtual power plant" to better match energy supply with demand along with related value-added benefits. Due to the complexity, number and scale of the systems and devices involved in creating a demand-side virtual power plant, interoperability between the various systems is the key to success. An interoperable smart grid fosters increased competition among suppliers, innovation, choice, reduced costs and reduced capital risk caused by technology or vendor obsolescence, and enables automation resulting in increased value and improved reliability. Unfortunately, interoperability cannot realistically be achieved by a single entity and requires collaboration from numerous organizations including utilities, regulatory bodies, standards bodies, vendors and more. An approach of structured regional utility demonstrations designed to promote and evaluate Integration of distributed resources at all levels of power system operations will further smart grid interoperability. Utilizing a standardized approach like the IntelliGrid® methodology to develop use cases and standard functional requirements can further communication, information, and control infrastructures required to Support Integration of emerging technologies as well as identify critical gaps in existing standards providing focus for future research and development.
Maxime Lavigne - One of the best experts on this subject based on the ideXlab platform.
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pophr a knowledge based platform to Support Integration analysis and visualization of population health data
Annals of the New York Academy of Sciences, 2017Co-Authors: Arash Shabannejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
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PopHR: a knowledge‐based platform to Support Integration, analysis, and visualization of population health data
Annals of the New York Academy of Sciences, 2016Co-Authors: Arash Shaban-nejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
Anya Okhmatovskaia - One of the best experts on this subject based on the ideXlab platform.
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pophr a knowledge based platform to Support Integration analysis and visualization of population health data
Annals of the New York Academy of Sciences, 2017Co-Authors: Arash Shabannejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
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PopHR: a knowledge‐based platform to Support Integration, analysis, and visualization of population health data
Annals of the New York Academy of Sciences, 2016Co-Authors: Arash Shaban-nejad, Maxime Lavigne, Anya Okhmatovskaia, David L BuckeridgeAbstract:Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of population health. Consequentially, these systems can provide only basic Support for decision makers. The Population Health Record (PopHR) is a semantic web application that automates the Integration and extraction of massive amounts of heterogeneous data from multiple distributed sources (e.g., administrative data, clinical records, and survey responses) to Support the measurement and monitoring of population health and health system performance for a defined population. The design of the PopHR draws on the theories of the determinants of health and evidence-based public health to harmonize and explicitly link information about a population with evidence about the epidemiology and control of chronic diseases. Organizing information in this manner and linking it explicitly to evidence is expected to improve decision making related to the planning, implementation, and evaluation of population health and health system interventions. In this paper, we describe the PopHR platform and discuss the architecture, design, key modules, and its implementation and use.
