Registry

Module Specifications

Archived Version 2022 - 2023

Module Title
Module Code
School
Online Module Resources
NFQ level	9	Credit Rating	10
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

This module will prepare students to actively contribute to the role of digital transformation in health and social care in accordance with the national framework for digital competency and capability. Adopting a solution focused approach to the eHealth and digital transformational programme, students will critically review and report on the application of core competencies required to practice in an ICT enabled health and social care environment. The module will investigate theoretical, representational and practical aspects of retrieving, organizing and presenting data across a range of formats in the era of Big Data. The student will gain key skills in digital data health literacy.

Learning Outcomes

1. Describe the characteristics of digitalization in care delivery its use, methods and its impact on health and social care service provision
2. Demonstrate specialist knowledge, competency, and skills on how health informatics and its associated theory can support the delivery of global policy to advance digital health data in accordance with new models of care and the all-Ireland Digital Competency and Capability Framework to advance digital literacy
3. Read, interpret and understand complex analytics from a wide variety of data sources
4. Understand and apply critical perspectives on health data management such as ethics and privacy.
5. Demonstrate the development of good methodological practice for working with data, particularly focusing on data collection, representativeness, and limitations.
6. Critically review and appraise the application and use of digital resources and emerging technologies such as Artificial Intelligence and Machine Learning in accordance with professional and regulatory standards and workplace policies.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	20	No Description
Tutorial	20	No Description
Workshop	30	No Description
Independent Study	160	No Description
Online activity	20	No Description
Total Workload: 250

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Critical perspectives on data communication
Data ethics, ownership, privacy, responsibility, and associated legislation.

Understanding analytics
Reading and understanding analytics from various commercial and public sources; uncovering and cleaning data; identifying principle stats producing reports and maintaining scientific integrity.

Demonstrating skills and competencies
Demonstrating skills and competencies on digital data health literacy in accordance with all Ireland Digital Competency and Capability Framework Domains for Digital Professionalism, Leadership and Advocacy, Data and Information Quality, Information enabled Care and Technology to the intermediate and proficiency level

Assessment Breakdown
Continuous Assessment	%	Examination Weight	%

Type	Description	% of total	Assessment Date
Course Work Breakdown

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
Unavailable

Indicative Reading List

Hussey P, Kennedy M.A: 2021, Introduction to Nursing Informatics, 5th, Springer, 978-3-030-58740-6,
Sebastian Kubitschko, Anne Kaun: 2016, Innovative Methods in Media and Communication Research, Springer Professional, Springer Fachmedien Wiesbaden GmbH, 978-3-319-406

Other Resources

None

Programme or List of Programmes

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