Telehealth Technologies

Description

This module introduces the learner to telehealth technology concepts and is designed to give students a critical understanding of how these concepts are integrated into overall telehealth solutions. Initially, the module examines concepts around cloud, mobile app technologies and data networking as these comprise the basic components of any telehealth solution. The module then explores data collection techniques: transducers, analogue and digital approaches and data storage (Relational and GraphDB techniques) used with remote monitoring/diagnostic devices. The concepts of a Personal Area Network (PAN) and the Application Programming Interface (API) are explored and in terms of how mobile apps interact with monitoring devices. The module investigates telemedicine systems in the terms of real-time interaction between patient and clinician. Concepts around data presentation, data analytics and Artificial Intelligence are presented. Finally, the technical aspects of data security and cyber security are examined.

Learning Outcomes

  1. Critically examine the generic components of a telehealth monitoring/diagnostic solution, demonstrate how these relate to cloud and mobile technologies and assess the compliance issues relating to these systems.

  2. Distinguish the analogue and digital approaches used in telehealth systems/component design.

  3. Analyse mobile telehealth/telemedicine apps and their 'use cases' in support of overall health and wellness solutions. Assess how they could contribute to the Electronic Health Record (EHR).

  4. Evaluate and articulate cyber security vulnerabilities and mitigations in overall telehealth solutions.

  5. Discriminate and assess data storage techniques (relational and graphDB), and apply data analytics tools in telehealth and telemedicine solutions.

  6. Critically examine leading edge technologies: Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Robotics, in terms of their current and possible inclusion in overall telehealth solutions and specifically their contribution to the personalisation of 'care in the home'.

Credits
10
% Coursework 100%