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Clinical Health Data Analytics for Better Healthcare

Learn to analyze and leverage digital health data to improve healthcare decision-making and patient outcomes in this comprehensive course.

Learn to analyze and leverage digital health data to improve healthcare decision-making and patient outcomes in this comprehensive course.

Explore the transformative power of digital health data in this comprehensive course designed for healthcare professionals and data enthusiasts. Gain insights into the fundamentals of health data analytics, from data generation to interpretation and communication. Learn to navigate the data life cycle, understand key statistical concepts, and apply basic analysis techniques to derive meaningful insights from health data. Through real-world case studies and practical exercises, you'll develop skills in data quality assessment, query composition, and effective data visualization. This course emphasizes the critical role of data analytics in modern healthcare, preparing you to contribute to evidence-based decision-making and drive better health outcomes in the digital age.

4.7

(111 ratings)

13,112 already enrolled

Instructors:

English

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Clinical Health Data Analytics for Better Healthcare

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Identify digital health technologies, health data sources, and evolving roles in digital health environments

  • Understand key health data concepts, terminology, and the significance of data integrity

  • Use health data and basic analysis techniques to inform and improve decision-making and practice

  • Apply effective methods of health data communication to facilitate safe and quality care

  • Navigate the data life cycle and understand stakeholder roles in maintaining data quality

  • Develop skills in composing data queries and interpreting data reports

Skills you'll gain

digital health
health data analytics
data quality
data visualization
healthcare decision-making
data life cycle
statistical concepts
data communication

This course includes:

150 Minutes PreRecorded video

11 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course provides a comprehensive introduction to the use of clinical health data for improving healthcare delivery and outcomes. Participants will explore the current digital health landscape, understanding the various sources of health data and the evolving roles of healthcare professionals in data-driven environments. The curriculum covers key concepts in health data analytics, including data integrity, the data life cycle, and basic statistical principles. Learners will develop practical skills in data analysis, visualization, and communication, with a focus on applying these skills to real-world healthcare scenarios. The course emphasizes the importance of data quality and governance in healthcare decision-making and explores the ethical considerations of health data usage. Through a combination of video lectures, case studies, and hands-on exercises, participants will gain the knowledge and skills needed to effectively leverage clinical health data for better healthcare practices and outcomes.

An introduction to digital health

Module 1 · 4 Hours to complete

Everyone plays a role in health data

Module 2 · 4 Hours to complete

Interpret health data - turn information into new insights

Module 3 · 4 Hours to complete

Share and integrate data into practice

Module 4 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Tim Shaw
Tim Shaw

4.8 rating

37 Reviews

34,379 Students

2 Courses

Pioneering Leader in eHealth and Implementation Science

Tim Shaw is the inaugural Professor of eHealth at the University of Sydney and serves as the Director of Research in Implementation Science and the eHealth Group (RISe), as well as the Director of Research and Workforce Capacity at the Digital Health Cooperative Research Centre. An internationally recognized authority on the impact of technology in healthcare, Tim focuses on translating evidence into practice and policy. His research interests lie at the intersection of implementation science and quality improvement, exploring how digital transformations and health data can enhance practice, professional development, and system improvement. Tim has collaborated with leading organizations, including the Australian Digital Health Agency, eHealth NSW, the Australian Commission for Safety and Quality in Health Care, the World Health Organization (WHO), and the International Society for Quality in Healthcare (ISQua). He annually teaches on the Harvard Macy program for Innovation in Healthcare and Education and has served as an advisor to various esteemed institutions, including the Institute for Healthcare Improvement and Partners Harvard Medical International. Tim is dedicated to enhancing the digital health capabilities of the healthcare workforce through integrated digital health curricula and research initiatives.

Clinical Health Data Analytics for Better Healthcare

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

111 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.