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Курс от Johns Hopkins University
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Clinical Trials Data Management and Quality Assurance
Курс от Johns Hopkins UniversityО курсе
In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols.
Навыки, которые вы освоите
Quality AssuranceData SharingData SecurityClinical MonitoringMicrosoft ExcelData CleansingData QualityData CollectionData ManagementData IntegrityData CompilationStatistical AnalysisData MaintenanceClinical ResearchClinical Trial Management SystemsClinical TrialsTreatment PlanningClinical Data ManagementCase Report Forms
Программа курса
6 модулей · 37 учебных материалов
01Data Collection Instruments8 материалов
Welcome
Welcome to the CourseЧтениеData Collection Instruments
Definitions and IntroductionВидеоGeneral PrinciplesВидеоDesign ConsiderationsВидеоУчитесь у экспертов
Janet Holbrook, PhD, MPH
Associate Professor, Epidemiology
Ann-Margret Ervin, PhD, MPH
Associate Scientist
David M. Shade, JD
Senior Scientist