Oracle Clinical

• Study Setup: Streamlined study design and setup, including protocol definition and CRF creation.

• Data Collection: Electronic data capture and entry, with validation checks to ensure data accuracy.

• Data Cleaning: Automated data validation, query management, and discrepancy resolution processes.

• Safety Monitoring: Tools for monitoring patient safety and adverse event reporting throughout the trial.

Before learning Oracle Clinical, it's helpful to have these skills:

1. Clinical Research Knowledge:

   • Understanding of clinical trial processes, regulations, and industry standards.

2. Data Management Skills:

   • Proficiency in data management concepts, including data collection, validation, and analysis.

3. Medical Terminology:

   • Familiarity with medical terminology and concepts related to clinical trials and healthcare.

4. Database Management:

   • Basic knowledge of database management systems and SQL for querying and managing data.

By learning Oracle Clinical, you gain the following skills:

1. Clinical Trial Management:

   • Ability to manage all aspects of clinical trials, from study setup to regulatory submission.

2. Data Management:

   • Proficiency in collecting, cleaning, and analyzing clinical trial data to ensure accuracy and compliance.

3. Regulatory Compliance:

   • Knowledge of regulatory standards and requirements for clinical trials, ensuring compliance throughout the process.

4. Safety Monitoring:

   • Skills in monitoring patient safety and adverse event reporting throughout the trial duration.