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EMHI ROUNDS – May 23, 2024 

Hi all, please join us from 9 am to 12 pm

9am: Core topic – Case study - No code AI and machine learning, Key Concepts and Model Differences - By Dr. Bassam Alomar

Learning objectives:

1. Understand basic definitions related to AI
2. Understand the difference between the common machine learning models

Bio: Dr. Bassam Alomar, health informatics emergency medicine fellow, department of emergency medicine, ÎÛÎÛ²ÝÝ®ÊÓƵ University. He is from pediatric background, finished his pediatric medicine board and pediatric emergency medicine fellowship back home in Saudi Arabia, worked as a staff for 2 years prior to be enrolled in his current fellowship. Dr. Bassam has an interest in workflow improvement, big data management and machine learning.

10 am – ´¡°ù³Ù¾±³¦±ô±ðÌýEffects of CPOE-based medication ordering on outcomes: an overview of systematic reviews - By Dr. Saleh Alsaeed

Learning objectives:

1. What gaps exist in the current research on CPOE systems? ​
2. What recommendations are provided for future studies and systematic reviews concerning CPOE systems? ​

BIO: Dr. Saleh Alsaeed, health informatics emergency medicine fellow, department of emergency medicine, ÎÛÎÛ²ÝÝ®ÊÓƵ University. He is from pediatric background, finished his pediatric medicine board back home in Saudi Arabia, and pediatric emergency medicine fellowship in McMaster prior to be enrolled in his current fellowship. Dr. Saleh has an interest in workflow and human behavior.

11 am – Topic - AI use for radiology workflow optimization and benefits for the ED - By Dr. Adrian Florea

Learning Objectives:

1. Identify areas of radiology workflow that can be optimized through the use of AI
2. Discover benefits of management of incidental findings through AI workflow optimization
3. Discuss benefits of AI image classification for the Emergency Department

BIO: Dr Adrian Florea practices Emergency Medicine at Saint Mary's Hospital and the MUHC. He has completed a Masters in Biomedical Informatics and shares an interest in clinical decision support, the use of AI in imaging informatics and predictive analytics.