Health Data Analytics
Was können Sie in diesem Kurs lernen?
After completing this course, students will have achieved the skills needed to acquire the following:
- Analyse the various types and sources of healthcare data, including clinical, operational, claims, and patient-generated data.
- Assess the quality of healthcare data and make appropriate interpretations of meaning according to data sources and intended uses.
- Compare and contrast commonly used data models and algorithms within the healthcare system.
- Enumerate the associated challenges and ethical considerations of healthcare data analytics.
Gliederung
Unit 1: Basics of Data Analytics
- Lesson 1: Introduction to Unit 1
- Lesson 2: Data and Information
- Lesson 3: Analytics and Decision Making in Healthcare
- Lesson 4: Data Analytics Types
- Lesson 5: Data Analytics Lifecycle
- Learning Goals: Testing Learning Objectives
Unit 2: Data Analytics Algorithms
- Lesson 1: Introduction to Unit 2
- Lesson 2: Classification
- Lesson 3: Datasets with Regression, Correlation, and Clustering
- Lesson 4: Forecasting
- Learning Goals: Testing Learning Objectives
Unit 3: Data Visualization with Examples
- Lesson 1: Introduction to Unit 3
- Lesson 2: Presentation and Visualization of Information
- Lesson 3: Information Infographics
- Lesson 4: Dashboards
- Learning Goals: Testing Learning Objectives
Unit 4: Case Study: Challenges and Benefits for Health Data Analytics Applications with Ethical Consideration
- Lesson 1: Introduction to Unit 4
- Lesson 2: Improving Clinical Decision-Making with Artificial Intelligence
- Lesson 3: The Application of Tracking Gadgets For Wellness and Health
- Lesson 4: Summary
Unit 5: Future Trends
- Lesson 1: Introduction to Unit 5
- Lesson 2: From Data to Artificial Intelligence
- Lesson 3: IoT Analytics (The Future with Smart Analytics)
- Lesson 4: Cloud Computing
- Learning Goals: Testing Learning Objectives
- Learning Success: Course Ending
Angeboten von
Prof. Dr. - Ing. Thomas Spittler
Vice Dean at Deggendorf Institute of Technology,
Faculty of European Campus Rottal-Inn, Pfarrkirchen, Germany
Head of the Health Informatics Program
Course Manager
Weitere Mitwirkende
Helana Lutfi, M.Sc.
Research Associate at Deggendorf Institute of Technology,
Faculty European Campus Rottal-Inn, Pfarrkirchen, Germany
Zielgruppe
This course is designed for participants who are directly or indirectly involved in the healthcare sector. It provides solid knowledge for analysts, data and decision scientists, academic researchers, or future health informaticians.
Bescheinigung der Teilnahme
In this course you can
be awarded a certificate of participation. Please go through the entire
course and answer more than 80% of all tests and questions correctly.