Clinical Leadership in Digital Projects, Parts A and B

CLIN202

CLIN202 Price: AU 250

Register for both Part A and Part B
(recommended) and receive a discount

Competency-based

Global

Self-paced

Cost-effective

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Targeted

Accessible

Target Audience

Clinicians from all clinical disciplines.

Advised pre-requisites

CLIN100 Clinical Practice in the Digital Age

Course description

Digitisation – the transformation of healthcare using digital technologies – is a complex socio-technical endeavor and in many cases is very disruptive as well as potentially beneficial. Benefits do not just accrue – they need to be managed to accrue. The informed involvement of clinicians is critical to success in clinical information systems projects.

This Course is one of two Parts which are collectively designed for clinicians from all health professional backgrounds who are or will be in leadership roles in the design, development, acquisition, deployment, implementation, management, disposal and/or evaluation of information technology projects.

This Course assumes a sound understanding of major concepts and issues in health informatics including the state of maturity of digitisation in clinical practice; the nature of complexity in health and biomedical informatics; evidence-based approaches to dealing with these; and success (and failure) factors for clinical information system implementations. Some of the concepts highlighted in the foundation course Clinical Practice in the Digital Age (CLIN100) are revisited in considerably more detail.

Learning Objectives

Having successfully completed the two Parts of this Course, clinicians will be able to:

  1. Apply problem solving methods and technical approaches to health and biomedical concepts.
  2. Interpret, demonstrate and align the needs of stakeholders.
  3. Apply quality principles to clinical information management and across the system lifecycle.
  1. Appraise the value of clinical IT and manage clinical benefit realisation.
  2. Analyse issues and manage opportunities and risks associated with clinical IT.
  3. Apply good practice to the governance of clinical IT.
  4. Understand clinical models and their wider implications.
  5. Apply the disciplines that lead to interoperability and re-use of clinical data and processes.