The Experts below are selected from a list of 25764 Experts worldwide ranked by ideXlab platform

Samir J Courdy - One of the best experts on this subject based on the ideXlab platform.

  • identifying Clinical Translational Research cohorts ascertainment via querying an integrated multi source database
    Journal of the American Medical Informatics Association, 2013
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

  • Identifying Clinical/Translational Research cohorts: ascertainment via querying an integrated multi-source database
    Journal of the American Medical Informatics Association : JAMIA, 2012
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

Geraldine P. Mineau - One of the best experts on this subject based on the ideXlab platform.

  • identifying Clinical Translational Research cohorts ascertainment via querying an integrated multi source database
    Journal of the American Medical Informatics Association, 2013
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

  • Identifying Clinical/Translational Research cohorts: ascertainment via querying an integrated multi-source database
    Journal of the American Medical Informatics Association : JAMIA, 2012
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

John F Hurdle - One of the best experts on this subject based on the ideXlab platform.

  • identifying Clinical Translational Research cohorts ascertainment via querying an integrated multi source database
    Journal of the American Medical Informatics Association, 2013
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

  • Identifying Clinical/Translational Research cohorts: ascertainment via querying an integrated multi-source database
    Journal of the American Medical Informatics Association : JAMIA, 2012
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

Jonathan R. Lindner - One of the best experts on this subject based on the ideXlab platform.

  • Ultrasound molecular imaging: insights into cardiovascular pathology
    Journal of Echocardiography, 2020
    Co-Authors: Koya Ozawa, Jonathan R. Lindner
    Abstract:

    Similar to what has already occurred in cancer medicine, the management of cardiovascular conditions will likely be improved by non-invasive molecular imaging technologies that can provide earlier or more accurate diagnosis. These techniques are already having a positive impact in pre-Clinical Research by providing insight into pathophysiology or efficacy of new therapies. Contrast enhanced ultrasound (CEU) molecular imaging is a technique that relies on the ultrasound detection of targeted microbubble contrast agents to examine molecular or cellular events that occur at the blood pool-endothelial interface. CEU molecular imaging techniques have been developed that are able to provide unique information on atherosclerosis, ischemia reperfusion injury, angiogenesis, vascular inflammation, and thrombus formation. Accordingly, CEU has the potential to be used in a wide variety of circumstances to detect disease early or at the bedside, and to guide appropriate therapy based on vascular phenotype. This review will describe the physical basis for CEU molecular imaging, and the specific disease processes for the pre-Clinical Translational Research experience.

  • Ultrasound Molecular Imaging: Principles and Applications in Cardiovascular Medicine.
    Current cardiology reports, 2019
    Co-Authors: Eran Brown, Jonathan R. Lindner
    Abstract:

    Non-invasive molecular imaging is currently used as a Research technique to better understand disease pathophysiology. There are also many potential Clinical applications where molecular imaging may provide unique information that allows either earlier or more definitive diagnosis, or can guide precision medicine-based decisions on therapy. Contrast-enhanced ultrasound (CEU) with targeted microbubble contrast agents is one such technique that has been developed that has the unique properties of providing rapid information and revealing information only on events that occur within the vascular space. CEU molecular probes have been developed for a wide variety of disease states including atherosclerosis, vascular inflammation, thrombosis, tumor neovascularization, and ischemic injury. While the technique has not yet been adapted to Clinical use, it has been used to reveal pathological processes, to identify new therapeutic targets, and to test the efficacy of novel treatments. This review will explore the physical basis for CEU molecular imaging, its strengths and limitations compared to other molecular imaging modalities, and the pre-Clinical Translational Research experience.

Stephen C Haroldsen - One of the best experts on this subject based on the ideXlab platform.

  • identifying Clinical Translational Research cohorts ascertainment via querying an integrated multi source database
    Journal of the American Medical Informatics Association, 2013
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.

  • Identifying Clinical/Translational Research cohorts: ascertainment via querying an integrated multi-source database
    Journal of the American Medical Informatics Association : JAMIA, 2012
    Co-Authors: John F Hurdle, Stephen C Haroldsen, Andrew Hammer, Cindy Spigle, Alison Fraser, Geraldine P. Mineau, Samir J Courdy
    Abstract:

    Background Ascertainment of potential subjects has been a longstanding problem in Clinical Research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects—some methods work well for large cohorts; others work for small cohorts only. Objective We propose a method that provides a simple identification of pre-Research cohorts and relies on data available in most states in the USA: merged public health data sources. Materials and methods The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables Researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality. Results This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed: pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. Discussion and conclusions This query tool was designed to provide results as pre-Research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.