PUN108 Clinical Informatics for Intelligent Healthcare


To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.


Unit Outline: Semester 2 2024, Kelvin Grove, Internal

Unit code:PUN108
Credit points:12
Assumed Knowledge:

Nil

Coordinator:Amina Tariq | a.tariq@qut.edu.au
Disclaimer - Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.

Overview

There is an increasing demand across the healthcare service spectrum for professionals with the ability to critically analyse data and make evidence-based decisions that are suitable for the context of their healthcare organisation(s). This requires healthcare professionals to deploy a wide variety of skills in the areas of business analysis, data analysis, and process analysis.  

In this unit, you will discover the clinical informatics principles, tools and technologies which can be used in healthcare organisations to support a wide range of decisions ranging from day to day service delivery (including clinical care) to the long-term strategic developments.

This unit addresses the core components of major national and international certification programs such as the Health Information Management and Systems Society (HIMSS) and the Certified Health Information Australasia (CHIA).

Learning Outcomes

On successful completion of this unit you will be able to:

  1. Apply data literacy concepts to design a contextually appropriate data management approach (es) for driving quality improvement in health care services.
  2. Critically analyse and contextualise informatics principles, data governance insights and ethical considerations specific to healthcare settings in a culturally safe manner.
  3. Evaluate the effectiveness and utility of complex technologies, e.g. clinical dashboards and alert systems, to improve decision making in contemporary healthcare settings.
  4. Formulate strategies for communicating and interpreting evidence-based insights from diverse viewpoints.
  5. Design processes for teamwork and collaboration to bring culturally sensitive practice to data management problems in digital health environments.

Content

This unit consists of the following major areas of study:

  • Core concepts: data, information, and knowledge and life cycle of data within the context of health systems
  • Sources of health information, including the various data repositories held in hospitals, specialized health units and government agencies.
  • Examining relationship between various types of health information, associated governance principles and ethical considerations
  • The importance of working with a diverse range of interdisciplinary and interprofesisonal stakeholders to inform quality improvement initiatives and utilising culturally safe communication.
  • The role of data in quality improvement: why is managing data an essential part of quality improvement and what are the basic techniques for using data to support quality improvement efforts.
  • Technologies for clinical intelligence in Healthcare: Different applications and types of technologies that are used to deliver clinical intelligence in real world health settings
  • Using data for evidence-based decision making: Various ways of data visualization and how they are used to communicate with diverse stakeholders in healthcare.
  • Leading data analytics projects: explore the required technological and clinical competencies to deliver successful data analytic projects.

Learning Approaches

In this unit, you will learn by engaging in the following:

  • lectures
  • tutorials
  • online readings and learning materials

Teaching approaches to this unit are based on the principles of adult learning, facilitated through flexible learning delivery methods. The design of learning activities are drawn from situated learning theory, which will provide students opportunities to engage in authentic learning and real-world assessment tasks.The unit will be delivered via blended learning; which allows students to experience the majority of unit material and lectures online, combined with synchronous lectures and tutorials scheduled throughout the semester. The lectures and tutorials will provide an opportunity to consolidate learning via practical case-driven discussions and other learning activities. You will have the opportunity to reflect on your developing leadership skills for leading data analytic projects.

To ensure flexibility, lectures and tutorials will use media-rich synchronous technologies to enable online and face-to-face students to participate in collaborative activities.

The unit is designed to provide a balance between breadth, for example through coverage of topics in lectures, online sessions and readings; and detail, achieved, for example, through specializing in topics of particular interest in the assessments.

Feedback on Learning and Assessment

Feedback on the activities conducted in tutorials will form the basis of the formative assessment. In addition, written and oral feedback associated with the marking of assessments will constitute formative assessment for the unit.

Assessment

Overview

There are two assessments in this unit.

1. Applied Informatics Project - This will draw on approaches to planning communications and data management for implementing quality improvement in healthcare settings.

2. Examination (non-invigilated) (online) - This will consolidate concepts about clinical informatics, data governance, ethical considerations and the place of diverse viewpoints in the process.

Unit Grading Scheme

7- point scale

Assessment Tasks

Assessment: Applied Clinical Informatics Project

You will take on the role of the clinical informatics manager (s) to develop the data management and communications plans for a quality improvement initiative in a real-world healthcare context. The plans will address a diversity of perspectives that will include the healthcare organisation, stakeholders and patients. You will also need to select an appropriate audience and develop a culturally safe communications plan. You may work individually or in groups to develop the plans and present these within the reports. These reports will be submitted across the semester and you will receive iterative feedback.

Both parts of this assessment are eligible for the 48-hour late submission period and assignment extensions

Weight: 50
Length: Part A - Data Management Plan (30% - 2000 words), Part B - Communication Plan (20% - 1500 words)
Individual/Group: Individual
Due (indicative): Part A - Week 6, Part B - Week 11
Related Unit learning outcomes: 1, 4, 5

Assessment: Examination (non-invigilated)

This is a non-invigilated, open book online exam which is time limited. This will provide you with the opportunity to apply the practical concepts covered in the unit, especially the skills learned by completing the online interactive content. The first part of the exam (20%) comprises of timed multiple choice and short answer questions to test your ability to understand and correctly apply basic clinical informatics concepts covered in the unit. The second part of the exam (30%) comprises of a problem-solving task where you work on a given real-world healthcare scenario and a given dataset to find optimal solutions to the given problems.


This assignment is not eligible for the 48-hour late submission period and assignment extensions

Weight: 50
Length: 2.5 hours
Individual/Group: Individual
Due (indicative): Week 13
Related Unit learning outcomes: 2, 3, 4

Academic Integrity

Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.

Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.

You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.

Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.

Risk Assessment Statement

There are no out of the ordinary risks in this unit apart from those associated with substantial computer-based work.

Standards/Competencies

This unit is designed to support your development of the following standards\competencies.

ACHSM Master Health Service Management Competency Framework 2022

A.a): Action - Communication


  1. Relates to: Applied Clinical Informatics Project

  2. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

  3. Relates to: Applied Clinical Informatics Project

A.b): Action - Relationship Management


  1. Relates to: Applied Clinical Informatics Project

  2. Relates to: Applied Clinical Informatics Project

A.g): Action - Digital Management


  1. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

  2. Relates to: Examination (non-invigilated)

  3. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

  4. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

  5. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

  6. Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)

E.b): Enabling - Impact and Influence


  1. Relates to: Applied Clinical Informatics Project

  2. Relates to: Applied Clinical Informatics Project

Course Learning Outcomes

This unit is designed to support your development of the following course/study area learning outcomes.

PU70 Graduate Certificate in Digital Health Leadership and Management

  1. Apply a holistic understanding of how digital data, information and knowledge are managed for clinical care, research and health policy and planning. [KNOWLEDGE, SKILLS AND PRACTICE]
    Relates to: ULO1
  2. Take leadership in identifying the challenges, opportunities and potential of disruptive technologies, and evaluate their impact on models of healthcare delivery. [SKILLS, PRACTICE AND KNOWLEDGE]
    Relates to: ULO1, ULO2, ULO3
  3. Critically analyse socio-technical, ethical and political issues associated with the implementation and use of digital information systems in healthcare. [VALUES, DISPOSITIONS]
    Relates to: ULO2, ULO3, ULO4, ULO5
  4. Lead the management of technologies in multi-disciplinary teams across diverse stakeholders at all stages of the health information system life cycle. [SKILLS AND PRACTICE]
    Relates to: ULO1, ULO2, ULO4, ULO5

PU87 Master of Health Management and Leadership

  1. Design innovative and strategic responses to health leadership and management challenges to improve consumer, community, organisational and system level outcomes.
    Relates to: Applied Clinical Informatics Project
  2. Apply operational management skills to plan, organise and supervise internal organisational processes required for achieving high performance.
    Relates to: Applied Clinical Informatics Project
  3. Formulate strategies for culturally safe and inclusive approaches to optimise health system design and service delivery.
    Relates to: Applied Clinical Informatics Project
  4. Critically analyse and manage the implementation, benefits and risks of contemporary and emerging health technologies.
    Relates to: Applied Clinical Informatics Project, Examination (non-invigilated)