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Index

Self Paced

AI and Advanced Visualization: Healthcare Data Revolution

Revolutionizing Healthcare Data with Advanced AI Visualization Techniques

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Beginners

DURATION
8 Weeks

About

Through interactive dashboards, predictive analytics visualizations, and patient journey mapping, participants will learn how to turn data into actionable insights, supporting decision-making and improving patient care.

Aim

This course is designed to empower healthcare professionals with advanced data visualization techniques, enabling them to effectively communicate complex healthcare data.

Program Objectives

Master advanced visualization tools and techniques tailored for healthcare data.
Learn to create interactive dashboards that highlight key health metrics and trends.
Develop skills in predictive analytics visualizations to forecast health outcomes.
Understand how to use visualization in patient journey mapping to improve care pathways.
Navigate the ethical considerations in presenting healthcare data.

Program Structure

MODULE 1 : Foundations of Data Visualization in Healthcare

Principles of data visualization
Understanding the healthcare data landscape
Best practices in visualizing health data

MODULE 2 : Tools and Technologies for Data Visualization

Introduction to visualization tools (e.g., Tableau, Power BI)
Custom visualizations with Python and R
Interactive dashboards and real-time data presentation

MODULE 3 : Predictive Analytics and Visualization

Fundamentals of predictive analytics in healthcare
Visualizing predictive models for health outcomes
Case studies on predictive analytics in public health and clinical settings

MODULE 4 : Patient Journey Mapping and Visualization

The concept of the patient journey in healthcare
Visualization techniques for mapping patient journeys
Using patient journey maps to improve healthcare delivery

MODULE 5 : Ethical Considerations in Healthcare Data Visualization

Data privacy and security in visualizations
Ethical representation of health data
Avoiding bias in healthcare visualizations

MODULE 6 : Capstone Project

Development of an advanced healthcare data visualization project
Application of visualization techniques to a real-world healthcare dataset
Presentation and critique of projects

Program Outcomes

Acquire Advanced Visualization Skills: Gain expertise in advanced data visualization techniques, enabling the creation of interactive and impactful visualizations tailored for healthcare data.
Data-Driven Decision Making: Develop the ability to use visualizations to inform and influence healthcare decision-making, policy development, and strategic planning.
Predictive Analytics Proficiency: Learn to visualize predictive analytics outcomes to anticipate health trends, outcomes, and patient needs, facilitating proactive healthcare management.
Enhance Patient Care: Utilize patient journey mapping and other visualization tools to identify opportunities for improving patient care and optimizing healthcare delivery pathways.
Ethical Data Representation: Understand and apply ethical considerations in the visualization of healthcare data, ensuring accuracy, privacy, and sensitivity in data handling and presentation.

Fee Structure

Standard Fee: INR ~~10,998~~ USD ~~198~~

Discounted Fee: INR 5499 USD 99

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.