Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
This course, offered by the University Of Sydney, provides valuable insights into the use of healthcare data and focuses on various aspects such as best practices and the practical aspects of obtaining useful information from digital health systems. Curated by Tim Shaw, Using clinical health data for better healthcare certification by Coursera aims to help participants understand the fundamental concepts of health data analytics.
Learners of this programme will be guided through the different stages of the data life cycle, starting with the generation of high-quality health data. They will explore methods and tools commonly used for the analysis, visualisation, and communication of health data, allowing them to discover patterns and extract valuable knowledge from the data. Moreover, they will explore the future prospects and emerging trends in digital health data systems and applications after joining the Using clinical health data for better healthcare certification course.
Also Read:
The Highlights
- Approx. 15 Hours To Complete
- Certification by the University Of Sydney
- Financial Aid Available
- Beginner Level Course
Programme Offerings
- Hands-on project
- video lecture
- Certification
- Self-paced
- graded assignment
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2435 | yes | Coursera |
Using clinical health data for better healthcare online certification fees are Rs. 2435. Once the fee is paid, the learner is eligible for certification.
Using clinical health data for better healthcare fee structure
Course Name | Fee |
Using clinical health data for better healthcare | Rs. 2435 |
Eligibility Criteria
Certification Qualifying details of Using clinical health data for better healthcare
Learners of Using clinical health data for better healthcare training ought to acquire an 80% score or higher in all of the graded assessments to claim certification.
What you will learn
Using clinical health data for better healthcare classes will give learners an understanding of data and equip students with skills to:
- Recognize digital health technologies, health data sources, and the changing responsibilities of the health workforce in digital health settings.
- Comprehend essential health data concepts and terminology, emphasising the importance of data integrity and the roles of stakeholders throughout the data life cycle.
- Utilise health data and basic data analysis techniques to enhance decision-making and practice.
- Implement efficient methods to communicate health data, ensuring the facilitation of safe and high-quality care.
Who it is for
The course can be a valuable resource for anyone who is interested in learning more about digital health, and having ties with their professional background. For example
Admission Details
Follow the steps below to join the online course.
Step 1- Click on the link below:
https://www.coursera.org/learn/healthcare-data
Step 2- Click on the “Enrol for Free” button.
Step 3- Login/signup using an email id, create one if required to begin with the course.
Step 4- Choose the course duration and the course's payment plan. You can also audit the course for free. Auditing the course does not allow access to the certificate.
Step 5 - After the payment of the fee, an email with the course details will be sent to you as a confirmation of being enrolled in the course.
The Syllabus
Videos
- Welcome and introduction
- Introduction to Module 1
- Five ways digital health data is changing healthcare
- Data driven care: turning data from a personal health journey into actionable information
- Do healthcare professionals really need to know data analytics?
- The potential of health data to drive healthcare transformations: Digital Health CRC
- Module 1 conclusion
Readings
- Article and instructions for quiz: 'Five ways digital data is changing health care'
- Data driven care - video and infographic
- Worksheet and instructions for activity: Data driven care - your context
- Activity: Vision for digital health and data analytics
- Module 1 readings
Practice Exercises
- Five ways digital health data is changing healthcare - Change to attitudes
- Data driven care - your context
- Vision for digital health and data analytics
Videos
- Introduction to Module 2
- What is health data? An introduction to health data classification
- Overview of the data life cycle
- Quality health data: What is it and why is it important?
- What happens when we get it wrong? The impact of poor data quality
- Data governance and privileges
- Terminology and key statistical concepts for interpreting data
- Module 2 conclusion
Readings
- Activity: Data governance and privileges
- Terminology and key concepts for interpreting data
- Module 2 readings
Practice Exercises
- Practice: Overview of the data life cycle
- Practice: Dimensions of quality data
- Data governance and privileges
- Terminology and key concepts for interpreting data
Videos
- Introduction to Module 3
- From information to insight – Overview of analytics impacting healthcare
- Key steps in the analysis of health data
- Make sense of a data report
- Everyday data queries common to decision making in healthcare
- Carry out a simple (guided) health data analysis task
- Top tips for your analytics journey
- Module 3 conclusion
Readings
- Data tools
- Data analysis task - instructions and worksheet
- Module 3 readings
Practice Exercises
- Practice: Types of analytics
- Data tools
- Data analysis task
Videos
- Introduction to Module 4
- Make data meaningful: Best practice for the communication of health data
- Use of data visualisations for collaborative decision making
- Collaborating around data for healthcare improvement
- Sharing data for research purposes
- Case example: Digital health tools powered by shared health data Digital Health Co-operative Research Centre and Lorica Health
- Case study: Real time data use. Pascal Metrics Project, NSW Health
- Module 4 conclusion
- Course wrap-up
Readings
- Data Visualisation – Making data meaningful
- Module 4 readings
Practice Exercises
- Data Visualisation – Making data meaningful
Evaluation process
While going through the Using clinical health data for better healthcare certification syllabus, the learner will encounter a number of assessments. A minimum of 80% or higher score has to be achieved in order to qualify.