Patients’ follow up
BRIEF DESCRIPTION
This course will present an introduction in Digital Health and data revolution in patient’s follow up.
The course will cover the following aims:
- Understanding the Evolution of Technology in Health Care
- Explore the Practical Applications of Technology in Patient Monitoring
- Know how to Manage Patient Data Securely and Ethically
- Know the Current and Future Trends in Digital Health Care
- Feel prepared to contribute to the advancement of digital health in patient follow-up
SUMMARY
Module 1: Introduction to digital health
Fundamentals of digital health and CDSS independently.
- Section 1.1: Definition and context
- Section 1.2: Impact of digital health in Patients’ follow up
Module 2: Patient data collection
Review the most important elements of management of health data.
- Section 2.1: Hospital Information Systems
- Section 2.2: Portable Monitoring Devices
- Section 2.3: Data that patients can contribute directly
Module 3: Data analysis: AI Data Analysis: AI in Patient Monitoring
Introduction to AI and ML to put in context with Digital health in general and a brief introduction of decision making systems.
- Section 3.1: Fundamentals of AI in healthcare
- Section 3.2: Data Analysis and Decision Making
Module 4: Telemedicine and patients’ follow up
Description and context of telemedicine related to patient’s follow up.
- Section 4.1: Basic concepts of telemedicine
- Section 4.2: Patient communication via applications and asynchronously
- Section 4.3: User Experience in Telemedicine
Module 5: Data and privacy
This module reviews the elements and protocols related to data security.
- Section 5.1: Importance of Data Security in Patient Follow-up
- Section 5.2: Privacy Considerations
Module 6: Successful cases
Enumerate different examples of successful cases of patient’s follow-up implementation.
- Section 6.1: Case Studies
AUTHOR AND COORDINATOR
Author
Luis Marte
Coordinator
Santi Fort
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