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IT training»IT courses»Healthcare Technologies courses»Clinical Data Management With Oracle Clinical

Clinical Data Management With Oracle Clinical Training

This training program is designed for professionals seeking expertise in Clinical Data Management (CDM) using Oracle Clinical, a leading clinical data management system (CDMS). The course covers industry standards, regulatory requirements (ICH-GCP, FDA, CDISC), and hands-on experience in Oracle Clinical for clinical trial data processing.

Course duration

230 Hours

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Course syllabus
Price: $400 - $500
  • Pharmaceutical Medicine:
  • Introduction to Data Management and Biostatistics:
  • Oracle Clinical:
  • Informed Consent:
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About Clinical Data Management With Oracle Clinical

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Clinical Data Management With Oracle Clinical Course Content

  • Overview of Our Clinical Data Management with Oracle Clinical Course

    This course introduces you to the entire lifecycle of clinical data, from planning a study to locking a clean database. You will explore Oracle Clinical Navigation and the latest 5.4.0 version while learning how to generate, manage, and validate case report forms. Our training also dives into Electronic Data Capture (EDC) systems, CRF design, and regulatory guidelines like GCP and ICH. Additionally, you’ll learn how to manage study security, access controls, and perform data extractions for reporting.

  • The Objective of Our Clinical Data Management with Oracle Clinical Course

    Our course aims to help you confidently manage clinical trial data using Oracle Clinical. We aim to train you in designing eCRFs, programming validation procedures, and accurately handling discrepancy forms. Our objective is also to familiarize you with Oracle RDC and prepare you for real-world CDM roles. By the end of the training, you’ll be skilled in both system navigation and ensuring clinical data quality.

  • What You Will Learn in Our Clinical Data Management with Oracle Clinical Classes

    1. Learn how to plan and design a complete clinical study

    2. Understand Oracle Clinical’s data entry, navigation, and validation features

    3. Build and manage eCRFs and test custom data entry screens

    4. Explore the principles of CRF management, data integrity, and cleaning

    5. Perform discrepancy management, data extraction, and generate clean reports

    6. Work with Oracle RDC, access control, and ensure compliance with GCP

  • Course Details

    • Duration: 

    • 6-8 weeks

    • Mode: 

    • Online/In-person

    • Prerequisites:

    • Basic understanding of clinical research

    Target Audience:

    • Clinical Data Managers

    • Clinical Research Associates (CRAs)

    • IT Professionals in Pharma/Healthcare

    • Life Science Graduates

    Career Benefits

    • High demand for Oracle Clinical CDM professionals in CROs, Pharma, & Biotech

    • Roles: Clinical Data Manager, CDM Analyst, SAS Programmer, Clinical Database Programmer

    • Competitive salary in the clinical research industry

Clinical Data Management With Oracle Clinical Course Syllabus

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Clinical Data Management With Oracle Clinical FAQ's

  • What is Oracle Clinical?

    Oracle Clinical is a Clinical Data Management System (CDMS) developed by Oracle Health Sciences (formerly Oracle Pharma). It is widely used in pharmaceutical companies, Contract Research Organizations (CROs), and clinical research to manage, clean, and analyze clinical trial data.

  • How to become a certified clinical data manager?

    Start by enrolling in a Clinical Data Management course through Sulekha’s platform. Gain hands-on experience in study design, data collection, and discrepancy management. Complete the training to become a certified clinical data manager confidently.

  • What is the highest salary in clinical data management?

    Senior Clinical Data Managers can earn up to ₹15–20 LPA in India. In the U.S., top professionals can make over $120,000 annually. Salaries vary based on experience, certification, location, and industry demand.

  • What are the three phases of CDM?

    The three main phases are: Data Collection, Data Cleaning, and Database Locking. Each phase ensures the accuracy, completeness, and reliability of trial data.

    They align with regulatory standards like GCP and ICH guidelines.

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