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      • TMHG 550 Data Management

      TMHG 550 Data Management

      User Avatar
      Saranath
      DBHI, Elective Course DBHI, Elective Courses M.Sc. (BHI), M.Sc. (BHI)
      (0 review)
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      COURSE DESCRIPTION

      Principles of good data management, case record form design, data management process, data management tools; data validation techniques

       

      Prerequisites

      Graduate in Bachelor degree in Health sciences, computer sciences, and ICT

       

      Course Objectives

      1. Describe principles of good data management practices
      2. Design appropriate case record form for effective data collection
      3. Discuss data management processes in clinical research
      4. Apply appropriate data management tools to assist clinical data management
      5. Use data validation and data handling techniques to appropriately prepare data for analysis

      Course Features

      • Lectures 58
      • Quizzes 2
      • Duration 30 hours
      • Skill level All levels
      • Language English
      • Students 33
      • Certificate No
      • Assessments Yes
      CoursesM.Sc. (BHI)Elective Courses M.Sc. (BHI)TMHG 550 Data Management
      • Week 1: Principle of Clinical Data Management
        14
        • Lecture1.1
          Course Overview
        • Lecture1.2
          Course Syllabus
        • Lecture1.3
          Weekly Activities
        • Lecture1.4
          Introduction to Clinical Data Management
        • Lecture1.5
          Data Collection Strategies
        • Lecture1.6
          Topic Discussion : Data Collection Strategies
        • Lecture1.7
          Data Management Process: Project initiation
        • Lecture1.8
          Data Management Process: Project Implementation
        • Lecture1.9
          Data Management Process: Project Closure
        • Lecture1.10
          Reading Assignment : Good data and record management
        • Lecture1.11
          Topic Discussion : Data Management Process
        • Quiz1.1
          Quiz Week 1 Principle of Clinical Data Management 10 questions
        • Assignment1.1
          Weekly Assignment : Principle of Clinical Data Management 0 week
        • Lecture1.12
          Course Evaluation
      • Week 2: Good Clinical Data Management Practice (GCDMP)
        17
        • Lecture2.1
          Weekly Activities
        • Lecture2.2
          GCDMP-Data Collection
        • Lecture2.3
          GCDMP-Data Aquisition
        • Lecture2.4
          GCDMP-Database Setup
        • Lecture2.5
          GCDMP-Data Entry
        • Lecture2.6
          GCDMP-Data Quality
        • Lecture2.7
          GCDMP-Data Preparation
        • Lecture2.8
          Topic Discussion : Good Clinical Data Management Practice (GCDMP)
        • Lecture2.9
          Clinical Data Standards (CDISC)
        • Lecture2.10
          Additional resource : Clinical Data Standards (CDISC)
        • Lecture2.11
          Topic Discussion : Clinical Data Standards (CDISC)
        • Lecture2.12
          Case Report Form (CRF) Design
        • Lecture2.13
          Topic Discussion : CRF design
        • Quiz2.1
          Quiz : Week 2 10 questions
        • Assignment2.1
          Weekly Assignment (Student Project) 0 week
        • Lecture2.14
          Weekly Assignment 2 (Peer review) : (GCDMP)
        • Lecture2.15
          Course Evaluation
      • Week 3-4 : Clinical Data Management System (CDMS)
        14
        • Lecture3.1
          Weekly Activities
        • Assignment3.1
          Weekly Assignment :CDMS (Student Project) 0 week
        • Lecture3.2
          Introduction to Clinical Data Management System (CDMS)
        • Lecture3.3
          Database Design
        • Lecture3.4
          OpenClinica Installation
        • Lecture3.5
          Getting Started with OpenClinica
        • Lecture3.6
          Create New Users
        • Lecture3.7
          Create New Study
        • Lecture3.8
          Database Setup
        • Lecture3.9
          Assign Study sites and Users
        • Lecture3.10
          Data Entry
        • Lecture3.11
          Data extraction
        • Lecture3.12
          Reading Assignment
        • Lecture3.13
          Course Evaluation
      • Week 5: Mobile Data Collection Tools
        9
        • Lecture4.1
          Weekly Activities
        • Lecture4.2
          Data Collection via Mobile Devices
        • Lecture4.3
          Create Case Record Form in Epicollect5
        • Lecture4.4
          Manage Users
        • Lecture4.5
          Data Entry
        • Lecture4.6
          View and Export data
        • Lecture4.7
          Additional Reading
        • Assignment4.1
          Weekly Assignment (Student Project) 0 week
        • Lecture4.8
          Course Evaluation
      • Week 6: Data Preparation for Analysis
        11
        • Lecture5.1
          Weekly Activities
        • Lecture5.2
          Practice datasets
        • Lecture5.3
          Combining different data files
        • Lecture5.4
          Restructure data files
        • Lecture5.5
          Handling duplicate records
        • Lecture5.6
          Handling missing data
        • Lecture5.7
          Data transformation
        • Lecture5.8
          Handling variables
        • Lecture5.9
          Reading Materials : Data Preparation for Analysis
        • Assignment5.1
          Weekly Assignment : Data Preparation for Analysis 0 week
        • Lecture5.10
          Course Evaluation
      author avatar
      Saranath
      Jaranit Kaewkungwal
      Amnat Khamsiriwatchara
      Pailinrut Chinwangso
      Rungrawee Pawarana

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