Patients’ follow up

Go back

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