Clinical Research Coordinators (CRCs) are a vital component of the clinical research enterprise providing a pivotal role in human subject protection through the numerous activities and responsibilities assigned to them. In 2006, the National Institutes of Health's National Center for Research resources (NCRR) implemented the Clinical and Translational Science Awards program (CTSA) to advance biomedical research. As a part of this endeavor, many workgroups were formed among the Consortium to support translational research. The Research Coordinator Taskforce was created as part of the Regulatory Knowledge group of the Clinical Research Innovation Key Function Committee, and focuses on enhancing CTSA capabilities to provide support and training for CRCs. In the spring of 2008, this taskforce conducted two surveys of the then 24 CTSA Consortium members to better understand the current expectations and responsibilities of research coordinators in addition to the mechanism for providing education, training, and support in order for CRCs to successfully meet the study responsibilities placed upon them. The results of these surveys are summarized in this article and provide context to the recommendations of the Research Coordinator Taskforce for institutional considerations, approaches, and best practices for providing education, training, and support the expanding role of CRCs in fulfilling their responsibilities delegated to them by investigators.
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http://dx.doi.org/10.1111/j.1752-8062.2012.00423.x | DOI Listing |
Background: Study aims were to assess the current state and needs of faculty to inform the design of a formal mentorship program in a large academic Department of Psychiatry.
Methods: A 57- item self-administered online survey questionnaire was distributed to all faculty members.
Results: 225 faculty members completed the survey (24%).
Sci Rep
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Department of Orthopaedics, Traditional Chinese Medical Hospital of Gansu Province, Qilihe District, Guazhou Street 418, Lanzhou, 730050,, Gansu, China.
Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradual erosion of articular cartilage. This study aimed to develop and validate biomarker-based predictive models for KOA diagnosis using machine learning techniques. Clinical data from 2594 samples were obtained and stratified into training and validation datasets in a 7:3 ratio.
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Research Innovation and Entrepreneurship Unit, University of Buraimi, 512, Buraimi, Oman.
Skin diseases impact millions of people around the world and pose a severe risk to public health. These diseases have a wide range of effects on the skin's structure, functionality, and appearance. Identifying and predicting skin diseases are laborious processes that require a complete physical examination, a review of the patient's medical history, and proper laboratory diagnostic testing.
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Student of Biotechnology, Department of Biology, Islamic Azad University, Iran.
Objectives: Polycystic ovary morphology and ovarian cysts are frequent and usually asymptomatic in young female individuals. The present study is the first to examine ovarian sonographic findings in asymptomatic female athletes from Iran. This study aimed to evaluate the frequency of such sonographic findings in healthy female athletes on a screening basis.
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Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 (C.L., S.W.); Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213 (D.A., M.Z., J.S., S.W.); Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15213 (S.W.); Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15213 (S.W.). Electronic address:
Rationale And Objectives: In the USA over 1 million breast biopsies are performed annually. Approximately 9.6% diagnostic exams were given Breast Imaging Reporting and Data System (BI-RADS) ≥4A, most of which are 4A/4B.
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