The Experts below are selected from a list of 4167 Experts worldwide ranked by ideXlab platform

J S Phillips - One of the best experts on this subject based on the ideXlab platform.

  • an operational data store for reporting clinical practice guideline adherence in chronic disease patients
    Computer-Based Medical Systems, 2004
    Co-Authors: C K Hamm, M R Kennedy, J S Phillips
    Abstract:

    An operational data store was designed to extract, load and transform data contained in a transactional outcomes management database. The system was designed to be easily updatable from the production environment, and provide rapid, widely accessible reporting capabilities. Clinical practice guideline success data, patient-reported outcomes measures, and clinical patient data were collected from many systems to populate the data warehouse and data store. Five years of patient data in the Walter Reed Health Care System have been loaded, and refreshed on an on-going periodic basis. Reporting tools enabled users to drill down from the hospital, to clinic, to provider level for compliance measures, success rates, and various other metrics. The operational data store helped the Walter Reed Health Care System achieve certification in six disease-specific care Certifications of Distinction from the Joint Commission on Accreditation of Healthcare Organizations.

  • CBMS - An operational data store for reporting clinical practice guideline adherence in chronic disease patients
    2004
    Co-Authors: C K Hamm, M R Kennedy, J S Phillips
    Abstract:

    An operational data store was designed to extract, load and transform data contained in a transactional outcomes management database. The system was designed to be easily updatable from the production environment, and provide rapid, widely accessible reporting capabilities. Clinical practice guideline success data, patient-reported outcomes measures, and clinical patient data were collected from many systems to populate the data warehouse and data store. Five years of patient data in the Walter Reed Health Care System have been loaded, and refreshed on an on-going periodic basis. Reporting tools enabled users to drill down from the hospital, to clinic, to provider level for compliance measures, success rates, and various other metrics. The operational data store helped the Walter Reed Health Care System achieve certification in six disease-specific care Certifications of Distinction from the Joint Commission on Accreditation of Healthcare Organizations.

Tingting Zhang - One of the best experts on this subject based on the ideXlab platform.

  • enhanced data extraction transforming and loading processing for traditional chinese medicine clinical data warehouse
    International Conference on e-Health Networking Applications and Services, 2012
    Co-Authors: Xuezhong Zhou, Hongmei Song, Runshun Zhang, Tingting Zhang
    Abstract:

    Clinical data warehouse has been developed as a fundamental data infrastructure for large scale TCM clinical data management and decision support services. However, as a key component, data extraction, transforming and loading (ETL) is a complicated and labor intensive task to ensure high data quality before all kinds of data analyses. This paper introduces an enhanced ETL technique framework, which includes operational data store (ODS) model and two step data preprocessing subcomponents, to perform the ETL tasks. The ODS data model was designed to integrate the heterogeneous clinical data sources and support the direct copy from these data sources to ODS database by ETL. Therefore, ETL task has been separated into two core steps in enhanced ETL component: (1) dynamic filter and copy of the original operational data sources to ODS; (2) specialized transforming the ODS data to detailed clinical data warehouse. This enhanced technique framework improves the ETL performance to be used in clinical data center since there would have various kinds of operational data sources that need be integrated in this data environments. This paper has a description of the related enhanced ETL framework and proposes some key procedures to accomplish the tasks.

  • Healthcom - Enhanced data extraction, transforming and loading processing for Traditional Chinese Medicine clinical data warehouse
    2012 IEEE 14th International Conference on e-Health Networking Applications and Services (Healthcom), 2012
    Co-Authors: Xishui Pan, Xuezhong Zhou, Hongmei Song, Runshun Zhang, Tingting Zhang
    Abstract:

    Clinical data warehouse has been developed as a fundamental data infrastructure for large scale TCM clinical data management and decision support services. However, as a key component, data extraction, transforming and loading (ETL) is a complicated and labor intensive task to ensure high data quality before all kinds of data analyses. This paper introduces an enhanced ETL technique framework, which includes operational data store (ODS) model and two step data preprocessing subcomponents, to perform the ETL tasks. The ODS data model was designed to integrate the heterogeneous clinical data sources and support the direct copy from these data sources to ODS database by ETL. Therefore, ETL task has been separated into two core steps in enhanced ETL component: (1) dynamic filter and copy of the original operational data sources to ODS; (2) specialized transforming the ODS data to detailed clinical data warehouse. This enhanced technique framework improves the ETL performance to be used in clinical data center since there would have various kinds of operational data sources that need be integrated in this data environments. This paper has a description of the related enhanced ETL framework and proposes some key procedures to accomplish the tasks.

Yongming Yang - One of the best experts on this subject based on the ideXlab platform.

  • operational data store of multi platform multi source multi scale multi temporal data sets
    International Symposium on Image and Data Fusion, 2011
    Co-Authors: Weiwei Song, Yuanmin Fang, Jie Chen, Yongming Yang
    Abstract:

    With the development of geographic information technologies, large amount of data collected from satellite, airborne, and ground based imaging systems. Large amount of structured data and unstructured data come to TB level. data organization, management and application became a geographic information bottleneck. In this paper, operational data Storage (ODS) of multi-platform, multi-source, multi-scale, multi-temporal image and data manipulation are studied. Through integrated planning, design massive GIS data storage structure, management tools and mechanisms for application service. Thinking of the data integration, data storage layer, data processing and data mart applications in terms of massive data, get the effective integration of multi-platform data, multi-source data, multiscale data, multi-temporal data, to provide efficient, accurate information services for application of geographic information. Studying spatial data conversion, data storage model, model of data services, designing Extract, Transformation and Loading (ETL) process for spatial data, a framework for spatial data ODS design be proposed. provide a base for further data mining and knowledge discovery in spatial data base available.

Norshuhada Shiratuddin - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent profile analysis graduate entrepreneur (iPage) system using business intelligence technology
    2011
    Co-Authors: Muhamad Shahbani Abu Bakar, Azman Ta'a, Mohd Azlan Yahya, Norshuhada Shiratuddin
    Abstract:

    The increase use of information in Malaysia Ministry of Higher Education (MOHE) is resulted from the process of huge and complex data in several stages and at different locations. This situation leads to the difficulties of data management and problematic usage for decision making. Business Intelligence (BI), which is, the process of collecting, analyzing, and transforming data using data Warehouse (DW) is seen as one of the growing approaches to provide meaningful information. The MOHE is responsible for managing various activities to promote the graduate entrepreneurs to venture into the business and ensure the country has many successful entrepreneurs. Therefore, systematic and accurate information needs to be available for planning, implementation, and monitoring entrepreneurs' performances. This paper proposes the modeling and designing of the graduate entrepreneur profile application called Intelligent Profile Analysis Graduate Entrepreneur (iPAGE) using BI technologies and supporting by a DW approach. Two main methodologies were used namely: Requirements Centric operational data store (ReCODS) and Rapid Application Development (RAD) to develop this system. The iPAGE system was validated and evaluated by iPAGE users and DW experts. It is used to be a guideline for the development of an entrepreneur information system in the future.

  • Conceptual Design Model Using operational data store (CoDMODS) for Developing Business Intelligence Applications
    Ijcsns, 2011
    Co-Authors: M. Shahbani, Norshuhada Shiratuddin
    Abstract:

    Building a Business Intelligence (BI) application is very challenging as it is a young discipline and does not yet offer well-established strategies and techniques for the developments process when compared to the software engineering discipline. Furthermore, information requirements analysis for BI applications which integrate data from heterogeneous sources differs significantly from requirements analysis for a conventional information system. Conceptual Design Model operational data store (CoDMODS) to build BI application that focuses on operational information to support business operations is proposed. In this model, combination of community interaction and data integration approach were used to identify the requirements for developing BI application. Furthermore, how the operational data store can be used for operational and tactical information and can be transferred to a data warehouse for supporting analytical information and decision making is also presented. Finally, to verify and validate the proposed model, the case study approach using web application development in selected subject areas is elaborated.

  • Community and data integration approach using Requirement Centric operational data store Model (ReCODS-Model) for business intelligence applications
    Proceedings of the 3rd International Conference on Communications and Information Technology CIT'09, 2009
    Co-Authors: M. S. Abu Bakar, Norshuhada Shiratuddin
    Abstract:

    Building a Business Intelligence (BI) application is very challenging as it is a young discipline and does not yet offer well-established strategies and techniques for the developments process when compared to the software engineering discipline. Furthermore, information requirements analysis for BI applications which integrate data from heterogeneous sources differs significantly from requirements analysis for a conventional information system. Requirement Centric operational data store Model (ReCODS-M) to build BI application that focuses on operational information to support business operations is proposed. In this model, combination of community interaction and data integration approach were used to identify the requirements for developing BI application. Furthermore, how the operational data store can be used for operational and tactical information and can be transferred to a data warehouse for supporting analytical information and decision making is also presented. Finally, to verify and validate the proposed model, the case study approach using web application development in selected subject areas is elaborated.

C K Hamm - One of the best experts on this subject based on the ideXlab platform.

  • an operational data store for reporting clinical practice guideline adherence in chronic disease patients
    Computer-Based Medical Systems, 2004
    Co-Authors: C K Hamm, M R Kennedy, J S Phillips
    Abstract:

    An operational data store was designed to extract, load and transform data contained in a transactional outcomes management database. The system was designed to be easily updatable from the production environment, and provide rapid, widely accessible reporting capabilities. Clinical practice guideline success data, patient-reported outcomes measures, and clinical patient data were collected from many systems to populate the data warehouse and data store. Five years of patient data in the Walter Reed Health Care System have been loaded, and refreshed on an on-going periodic basis. Reporting tools enabled users to drill down from the hospital, to clinic, to provider level for compliance measures, success rates, and various other metrics. The operational data store helped the Walter Reed Health Care System achieve certification in six disease-specific care Certifications of Distinction from the Joint Commission on Accreditation of Healthcare Organizations.

  • CBMS - An operational data store for reporting clinical practice guideline adherence in chronic disease patients
    2004
    Co-Authors: C K Hamm, M R Kennedy, J S Phillips
    Abstract:

    An operational data store was designed to extract, load and transform data contained in a transactional outcomes management database. The system was designed to be easily updatable from the production environment, and provide rapid, widely accessible reporting capabilities. Clinical practice guideline success data, patient-reported outcomes measures, and clinical patient data were collected from many systems to populate the data warehouse and data store. Five years of patient data in the Walter Reed Health Care System have been loaded, and refreshed on an on-going periodic basis. Reporting tools enabled users to drill down from the hospital, to clinic, to provider level for compliance measures, success rates, and various other metrics. The operational data store helped the Walter Reed Health Care System achieve certification in six disease-specific care Certifications of Distinction from the Joint Commission on Accreditation of Healthcare Organizations.