UNDERSTANDING HEALTHCARE DATA
Course 4402
2 Hours
$150
Healthcare data holds the key to better decisions and outcomes. This course provides professionals with the skills to manage, analyze, and leverage healthcare data effectively while addressing ethical and regulatory concerns.
Target Audience
- Healthcare professionals interested in data-driven decision-making
- Data analysts working with healthcare organizations
- IT professionals supporting healthcare data management
- Researchers and students seeking foundational knowledge in healthcare data
Course Format:
- Live Virtual Lectures: Delivered by healthcare data experts.
- Interactive Activities: Case studies, hands-on exercises, and group discussions.
- Resources Provided: Data cleaning checklists, analysis templates, and regulatory guides.
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Payment Information: We accept credit card payments.
Course Objectives
- Understand the structure, sources, and types of healthcare data.
- Learn techniques for organizing, cleaning, and analyzing data for decision-making.
- Explore the ethical and regulatory considerations surrounding healthcare data management.
- Gain insights into the practical applications of healthcare data in improving patient outcomes and operational efficiency.
Course Structure:
Introduction to Healthcare Data
- Overview of healthcare data types: clinical, administrative, and patient-generated.
- Common data sources: EHRs, wearables, claims data, and public health datasets.
- The importance of data in improving care delivery and operations.
Organizing and Cleaning Healthcare Data
- Common issues in healthcare data: missing values, inconsistencies, and duplicate entries.
- Techniques for data cleaning and validation.
- Tools and software for managing healthcare data.
Analyzing Healthcare Data
- Basic data analysis techniques for healthcare insights.
- Exploring patterns and trends using visualization tools.
- Interpreting results to support clinical and operational decisions.
Ethical and Regulatory Considerations
- Ensuring patient privacy and data security under HIPAA and GDPR.
- Addressing ethical concerns in data collection and usage.
- Building trust through transparency and compliance.
Group Rates Available!
Bring your team and save – perfect for healthcare organizations looking to train multiple leaders.
Discounts available for organizations enrolling 5+ participants.
Class Schedule
Rates below are for each participant.
January 28, 2025
12:00 PM – 2:00 PM EST
Understanding Healthcare Data Virtual, EST
$150
Class ID: 2310
February 4, 2025
3:00 PM – 5:00 PM EST
Understanding Healthcare Data Virtual, EST
$150
Class ID: 2310
March 11, 2025
11:00 AM – 1:00 PM EST
Understanding Healthcare Data Virtual, EST
$150
Class ID: 2310
Frequently Asked Questions
What types of healthcare data will this course cover?
The course covers clinical, administrative, and patient-generated data, along with common sources like EHRs, claims data, and public health datasets.
Who should take this course?
This course is ideal for healthcare professionals, data analysts, IT staff, and researchers interested in managing and analyzing healthcare data.
Will I work on real-world datasets during the course?
Yes, participants will engage in hands-on exercises using sample healthcare datasets to clean, organize, and analyze data.
How does the course address data privacy and security?
A dedicated module focuses on ethical and regulatory considerations, including HIPAA and GDPR compliance, ensuring privacy and trust.
Does this course include tools for data management?
Yes, participants will learn about tools and techniques for organizing and analyzing data, including common software used in healthcare.
Will I learn to interpret data for decision-making?
Absolutely! The course includes analysis and visualization techniques to support clinical and operational decisions.
How interactive is this course?
The course includes hands-on exercises, group discussions, and scenario-based problem-solving to ensure active participation.
What resources will I receive after the course?
Participants will receive data cleaning templates, analysis guides, and a curated list of resources for further learning.