The Experts below are selected from a list of 74511 Experts worldwide ranked by ideXlab platform
Susan C. Weber - One of the best experts on this subject based on the ideXlab platform.
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STRIDE – An Integrated Standards-Based Translational Research Informatics Platform
2015Co-Authors: Henry J. Lowe, Todd A. Ferris, Penni M. Hern, Susan C. WeberAbstract:STRIDE (Stanford Translational Research Integrated Database Environment) is a Research and development project at Stanford University to create a standards-based informatics platform supporting clinical and Translational Research. STRIDE consists of three integrated components: a clinical data warehouse, based on the HL7 Reference Information Model (RIM), containing clinical information on over 1.3 million pediatric and adult patients cared for at Stanford University Medical Center since 1995; an application development framework for building Research data management applications on the STRIDE platform and a biospecimen data management system. STRIDE’s semantic model uses standardized terminologies, such as SNOMED, RxNorm, ICD and CPT, to represent important biomedical concepts and their relationships. The system is in daily use at Stanford and is an importan
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stride an integrated standards based Translational Research informatics platform
American Medical Informatics Association Annual Symposium, 2009Co-Authors: Henry J. Lowe, Todd A. Ferris, Penni M Hernandez, Susan C. WeberAbstract:STRIDE (Stanford Translational Research Integrated Database Environment) is a Research and development project at Stanford University to create a standards-based informatics platform supporting clinical and Translational Research. STRIDE consists of three integrated components: a clinical data warehouse, based on the HL7 Reference Information Model (RIM), containing clinical information on over 1.3 million pediatric and adult patients cared for at Stanford University Medical Center since 1995; an application development framework for building Research data management applications on the STRIDE platform and a biospecimen data management system. STRIDE’s semantic model uses standardized terminologies, such as SNOMED, RxNorm, ICD and CPT, to represent important biomedical concepts and their relationships. The system is in daily use at Stanford and is an important component of Stanford University’s CTSA (Clinical and Translational Science Award) Informatics Program.
Ernest T Hawk - One of the best experts on this subject based on the ideXlab platform.
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Translational Research working group developmental pathway for biospecimen based assessment modalities
Clinical Cancer Research, 2008Co-Authors: Sudhir Srivastava, Joe W Gray, Brian J Reid, Oren Grad, Addison Greenwood, Ernest T HawkAbstract:The Translational Research Working Group (TRWG) was created as a national initiative to evaluate the current status of National Cancer Institute's investment in Translational Research and envision its future. The TRWG conceptualized Translational Research as a set of six developmental processes or pathways focused on various clinical goals. One of those pathways describes the development of biospecimen-based assays that use biomarkers for the detection, diagnosis, and prognosis of cancer and the assessment of response to cancer treatment. The biospecimen-based assessment modality pathway was conceived not as comprehensive description of the corresponding real-world processes but rather as a tool designed to facilitate movement of a candidate assay through the Translational process to the point where it can be handed off for definitive clinical testing. This paper introduces the pathway in the context of prior work and discusses key challenges associated with the biomarker development process in light of the pathway.
Jose G Conde - One of the best experts on this subject based on the ideXlab platform.
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Research electronic data capture redcap a metadata driven methodology and workflow process for providing Translational Research informatics support
Journal of Biomedical Informatics, 2009Co-Authors: Paul A Harris, Robert W Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G CondeAbstract:Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and Translational Research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific Research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 Translational Research projects in a growing collaborative network including 27 active partner institutions.
Weber, Susan C. - One of the best experts on this subject based on the ideXlab platform.
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STRIDE – An Integrated Standards-Based Translational Research Informatics Platform
American Medical Informatics Association, 2024Co-Authors: Lowe, Henry J., Ferris, Todd A., Hernandez, Penni M., Weber, Susan C.Abstract:STRIDE (Stanford Translational Research Integrated Database Environment) is a Research and development project at Stanford University to create a standards-based informatics platform supporting clinical and Translational Research. STRIDE consists of three integrated components: a clinical data warehouse, based on the HL7 Reference Information Model (RIM), containing clinical information on over 1.3 million pediatric and adult patients cared for at Stanford University Medical Center since 1995; an application development framework for building Research data management applications on the STRIDE platform and a biospecimen data management system. STRIDE’s semantic model uses standardized terminologies, such as SNOMED, RxNorm, ICD and CPT, to represent important biomedical concepts and their relationships. The system is in daily use at Stanford and is an important component of Stanford University’s CTSA (Clinical and Translational Science Award) Informatics Program
Lynn M Matrisian - One of the best experts on this subject based on the ideXlab platform.
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the Translational Research working group developmental pathway for image based assessment modalities
Clinical Cancer Research, 2008Co-Authors: Gary S Dorfman, Daniel C Sullivan, Mitchell D Schnall, Lynn M MatrisianAbstract:The Image-based assessment modality (IM) pathway refers to one of six Translational Research Working Group (TRWG) pathways that, together, describe the core domains of early Translational cancer Research. This pathway focuses on approaches that are based on the interaction of energy and living organisms to analyze tissue noninvasively so as to reveal properties relevant to the detection, diagnosis, or prognosis of cancer and precancer; or the response of the cancer to therapy. Examples include, but are not limited to, magnetic resonance imaging and positron emission tomography, as well as contemporary contrast agents designed to probe specific molecular constituents of tumors. The IM pathway is presented as a general outline of the steps required for the effective development, optimization, testing, and validation of image-based modalities. The distinctive features of the IM pathway and issues encountered that represent obstacles to effective and efficient progress through the pathway are discussed. The IM pathway also forms a framework to identify opportunities to address current barriers and is expected to adapt and evolve as the field advances.
