CLINICAL DATA MANAGEMENT & SAS

Global Institute of Health Science is a pioneer in health science education especially in distance & online education. Global Institute of Health Science is an ISO 21001:2018 Certified health science Institute & globally acclaimed, also certified with copyright approval from IPR Government of INDIA. GIHS have international certification from UASL UK for Quality Control Management System.

WHY CHOOSE US

• BRINGING EXCELLENCE TO HEALTH PROFESSIONALS
• 10+ YEARS OF EXPERIENCE WITH INTERNATIONAL EXPOSURE
• INTERNATIONAL ACLAIMED WITH ISO & GOVT APPROVED
• LIFETIME FREE PERSONALIZED TUTORING FOR SUCCESS

This GIHS Clinical Data Management and SAS Program is developed to provide candidates with a skillful knowledge of the management of clinical data used in clinical trials and other projects, leading to an academic and professional qualification for Clinical Data Management.

The program is meant for health information managers, data managers and other healthcare professionals working with, or planning to work with, clinical data and other health databases. SAS Clinical Data Integration organizes, standardizes and manages clinical research data and metadata. It provides the foundation you need to define analysis data sets and support strategic analyses such as cross-study and advanced safety analysis.

With SAS, you can gain both speed and efficiency by automating repeatable clinical trial data integration tasks. For beginners Clinical Data management and SAS data management training course programs aid a great start up.

SYLLABUS

Clinical Data Management

Section – 1

• Introduction of Clinical Data Management
• Data and Databases
• Data Entry
• Transcribing Data

Section – 2

• CRF Data Tracking
• Cleaning Data
• Discrepancies Managements
• Data Management Plan

Section – 3

• CRF Review and source Documents
• Electronic Data Capture
• Design Consideration
• Study Setup

Section – 4

• Managing Laboratory Data
• Collection of Adverse Events Data
• Medical Coding
• Creating Reports

Section – 5

• Data Acquisition and Database Closure
• Data Transfers / Audit trial
• QA in CDM

SAS – STATISTICAL ANALYTICAL SYSTEM

Section – 1

• SAS Introduction
• SAS syntax / SAS Dataset

Section – 2

• Reading SAS Dataset
• Reading Excel Worksheet
• Reading delimited Raw Data File

Section – 3

• Manipulating Data / Combining SAS Data Set
• Do Loop & Array Processing / SAS Function

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