This module introduces learners to the technology of eHealth Systems, and the project management techniques used in implementing these systems. The generic components of an electronic information system are examined, and explained in terms of client-server and web-based computing models. Cloud and Mobile technologies are investigated and their application in terms of in-patient and out-patient monitoring and control. The concept of an eHealth ecosystem is described and specific case studies evaluated. Finally, change management in healthcare environments is investigated, and eHealth implementations synthesised using project management software. As the programme progresses, there is the caveat that there may be modifications due to developments in technology, systems implementations, and change management policies.

The module may be delivered in traditional face – to – face lecturing format, or in an online/blended format.

1. Identify and explain the components of an electronic information system.

2. Examine the requirements and components of an eHealth Ecosystem.

3. Explain the importance of Cloud and Mobile technologies in eHealth systems.

4. Critically analyse the process of change management in a healthcare environment.

5. Identify and explain project management roles, and utilise project management techniques to facilitate eHealth implementations.

This module is designed to enable students to develop a critical understanding of the concepts, strategies, and data standards, which will drive the eHealth initiative in Ireland. Initially, the module explores data science concepts; from raw data capture through to an end knowledge product facilitating decision making. The module then goes on to investigate data management and governance standards, and the legal and ethical issues around private and shared patient data. Coding systems for disease classification, diagnosis and interventions are examined (ICD-10, NIC, NOC, SNOMED-CT). Government policy initiatives are explored: the Individual Health Identifier, and the Electronic Health Record. Finally, significant strategic eHealth initiatives, for example eReferrals and ePharmacy are examined from a data management perspective. A comparison is made with similar eHealth initiatives across the EU and in the global context. As this programme progresses, there is the caveat that that there may be modifications due to developments in legal aspects, policy or specific health environmental factors.

The module may be delivered in traditional face – to – face lecturing format, or in an online/blended format.

1. Distinguish between data, information, knowledge and intelligence in a healthcare environment.
2. Identify Primary and Secondary data sources inHealthcare and how they can be utilised and presented.
3. Relate data collection activities to data definitions and coding standards for disease classifications, diagnosis and interventions.
4. Assess Governance, Security and Ethics considerations around eHealth data.
5. Identify Global, EU, and National eHealth strategies and assess their implications.
6. Assess the implications for initiatives such as the IHI, EPR, EHR, eReferrals, and ePharmacy or other ongoing or proposed eHealth initiativesin a healtcare setting.

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.

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’.

This module is designed to give students a critical understanding of digital transformation in healthcare communities and how Information Communication Technology will be critical to ensure safe sustainable and quality healthcare in the context of a growing and ageing population. Initially, the module examines the sociological relationship between the patient/client and the healthcare provider and the transformation and change of that relationship through the growing introduction of technology/software. Digital society, social media, digital citizenship, research, and evaluative enquiry are further explored.

The module then explores digital transformation projects and the digital community lifecycle. Key factors for successful digital implementations, working on shared digital platforms; digital literacy, and collaborative practice. The concepts of digitally integrated care are presented in terms of the current structures of community healthcare, the driving forces for the stay left shift left policy approach, the driving forces and key requirements, barriers and challenges for digitally enabled and enhanced care delivery and the state of digital maturity in the community healthcare setting. The module goes on to investigate ethical, legal, quality, safety and risk issues for digital healthcare communities including health information autonomy, GDPR, patient safety considerations, public patient involvement, risk management, human factors and implementation/improvement science.

1. Demonstrate a critical knowledge of digital media and society and the evolving relationship between patient/client and healthcare provider through the growing introduction of technology and software.
2. Distinguish the various components of the digital community lifecycle and the varied approaches used to implement and evaluate systems.
3. Using detailed clinical workflows and process mapping, examine and analyse patient and healthcare provider user requirements to enable and enhance integrated digital capabilities

4. Critically examine clinical information capture in the community EHR, nursing and HSCP documentation requirements; coding, naming conventions, standardised language/terminologies, and clinical data types
5. Interpret the Ethical and Legal Issues for digital healthcare communities and the concept of Health Information Autonomy
6. Formulate core components of Quality, Safety and Risk Management in the digital healthcare community and critically examine patient and public partnerships & involvement.