W1 | Evaluating artificial intelligence (AI)-based health informatics interventions

Workshop Facilitator: Prof. Farah Magrabi 

Professor of Biomedical and Health Informatics
Co-chair, Safety, Quality, and Ethics Working Group, Australian Alliance for Artificial Intelligence in Healthcare (AAAiH)
Centre for Health Informatics
NHMRC Centre for Research Excellence in Digital Health
Australian Institute of Health Innovation
Macquarie University, Australia 

Workshop: Implementing artificial intelligence (AI) for clinical decision support in real-world settings

Background: Despite the widespread enthusiasm for artificial intelligence (AI) and machine learning (ML) in healthcare, adoption and routine use in clinical settings remains slow. Healthcare organisations are increasingly developing ML-enabled clinical decision support systems in-house, and are also being approached by commercial vendors to co-develop or purchase AI tools.

Objective: The goal of this workshop is to introduce the general principles of evaluating AI in clinical decision support.

Structure of the workshop: Participants will learn how to select and implement ML-enabled clinical decision support systems in a hospital setting. The learning objectives are to:

1. Assess needs for AI in clinical decision-support.
2. Describe general principles for evaluating ML-enabled clinical decision support systems.
3. Formulate a plan to select and implement AI tools in a hospital setting.

Duration: 4 hours

Who Should Attend? 

1. Health care providers/organizations
2. Clinicians
3. Hospital executives
4. Managers
5. Researchers who are studying the impact of AI or any other digital technology on care delivery and patient outcomes
6. IT personnel who are involved in choosing and implementing digital health technologies.