Unit rationale, description and aim
Health data underpins safe, effective and evidence-informed healthcare, and the ability to understand, manage and apply health information is an essential capability for health and IT professionals working in digitally enabled environments. Students will develop knowledge of electronic health records, clinical information systems, health data standards, terminologies, information models, data management and governance that support the representation and use of health information. Through authentic case studies and contemporary digital health examples, students will explore how health data are created, structured, managed and used to support clinical decision making while maintaining ethical, legal and governance requirements. The unit develops practical capability in analysing health information and applying digital health principles to improve patient care and decision making. The aim of this microcredential is to enable students to understand and apply health data principles that support safe, ethical and evidence-informed clinical decision making.
Campus offering
No unit offerings are currently available for this unit.Learning outcomes
To successfully complete this unit you will be able to demonstrate you have achieved the learning outcomes (LO) detailed in the below table.
Each outcome is informed by a number of graduate capabilities (GC) to ensure your work in this, and every unit, is part of a larger goal of graduating from ACU with the attributes of insight, empathy, imagination and impact.
Explore the graduate capabilities.
Describe the role of electronic health records, cl...
Learning Outcome 01
Apply terminologies, ontologies, information model...
Learning Outcome 02
Critically evaluate the use of health data, emergi...
Learning Outcome 03
Content
Topics will include:
- Health Information in Electronic Health Records and Clinical Information Systems
- Health Data Standards, Terminologies and Information Models
- Health Data Management
- Big Data, Artificial Intelligence and Governance
- Applying Health Data to Clinical Decision Making
Assessment strategy and rationale
The assessment strategy consists of one authentic case study assessment that measures achievement of all learning outcomes. Students analyse a digital health case involving electronic health records, health data standards, data quality, governance and clinical decision making. The assessment requires students to apply theoretical concepts to a practical healthcare scenario, demonstrating their ability to evaluate health information and recommend evidence-informed improvements. This strategy reflects professional practice by integrating health information management, governance and decision making within a realistic digital health context. Students must demonstrate achievement of all learning outcomes and must pass the assessment to pass the microcredential.
Overview of assessments
Case Study: This task enables students to analys...
Case Study: This task enables students to analyse a digital health case study, evaluate its health information, and recommend improvements informed by digital health principles.
100%
To pass this microcredential, students must demonstrate achievement of all learning outcomes and pass the assessment.
Learning and teaching strategy and rationale
The learning and teaching strategy is designed to support conceptual understanding and practical capability in health data and digital health. Students engage with online modules, authentic case studies and applied learning activities that progressively develop knowledge of health information, clinical documentation, data standards and governance. Learning activities provide opportunities to analyse health information, apply terminology standards and evaluate the use of health data to support clinical decision making. This approach encourages critical thinking to identify challenges associated with digital transformation while enabling students to connect theoretical concepts with contemporary digital health practice. The strategy supports progressive development towards the authentic assessment task and reflects the practical application of health data within healthcare settings.