Digital Health

Applied Artificial Intelligence & Digital Health in Clinical Practice

Responsible AI, Digital Health and Clinical Workflow Integration

Practical, responsible and evidence-informed use of artificial intelligence and digital health in clinical practice, with emphasis on workflow, safety, privacy, ethics, verification and human oversight.

Duration 6 hours Delivery Online / Distance Education Assessment Structured end-of-activity knowledge assessment

Australian College of Rural and Remote Medicine (ACRRM)6 Educational Activity CPD hours

Who it is for

Doctors
Healthcare professionals
Professionals involved in clinical workflows
Professionals involved in digital health implementation

Learning outcomes

Explain artificial intelligence, generative AI and digital-health concepts relevant to clinical practice.
Identify appropriate and inappropriate uses of AI and digital health within healthcare workflows.
Critically assess generated or algorithmic outputs for accuracy, uncertainty, bias, limitations and safety.
Apply privacy, confidentiality, professional judgement, transparency and ethical principles.
Use human review, verification and escalation appropriately.
Consider how AI and digital health can be introduced into clinical workflows without displacing professional accountability.

Programme curriculum

Foundations of AI & Digital Health | 45 minutes
AI Tools, Outputs & Clinical Information | 60 minutes
Clinical Workflow Integration | 60 minutes
Safety, Bias, Privacy & Ethical Practice | 60 minutes
Applied Clinical Scenarios & Critical Appraisal | 60 minutes
Implementation in Real-World Practice | 45 minutes
Consolidation & Knowledge Assessment | 30 minutes

Programme information

Award: OwnMind Labs Certificate of Completion
Course Director / Lead Faculty: Dr Shahroze Ahmed Khan, MD, PGDip Public Health, MRSPH
Contact: contact@ownmindlabs.com