BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260520T211721EDT-261729ntad@132.216.98.100
DTSTAMP:20260521T011721Z
DESCRIPTION:EMHI ROUNDS – May 23\, 2024 \n\nHi all\, please join us from 9 
 am to 12 pm\n\nvia Teams: 2023-2024 link\n\n9am: Core topic – Case study -
  No code AI and machine learning\, Key Concepts and Model Differences - By
  Dr. Bassam Alomar\n\nLearning objectives:\n\n\n	Understand basic definitio
 ns related to AI\n	Understand the difference between the common machine lea
 rning models\n\n\nBio: Dr. Bassam Alomar\, health informatics emergency me
 dicine fellow\, department of emergency medicine\, McGill University. He i
 s from pediatric background\, finished his pediatric medicine board and pe
 diatric emergency medicine fellowship back home in Saudi Arabia\, worked a
 s 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 m
 achine learning.\n\n10 am – Article Effects of CPOE-based medication order
 ing on outcomes: an overview of systematic reviews - By Dr. Saleh Alsaeed
 \n\nLearning objectives:\n\n\n	What gaps exist in the current research on C
 POE systems? ​\n	What recommendations are provided for future studies and s
 ystematic reviews concerning CPOE systems? ​\n\n\nBIO: Dr. Saleh Alsaeed\,
  health informatics emergency medicine fellow\, department of emergency me
 dicine\, McGill University. He is from pediatric background\, finished his
  pediatric medicine board back home in Saudi Arabia\, and pediatric emerge
 ncy medicine fellowship in McMaster prior to be enrolled in his current fe
 llowship. Dr. Saleh has an interest in workflow and human behavior.\n\n11 
 am – Topic - AI use for radiology workflow optimization and benefits for t
 he ED - By Dr. Adrian Florea\n\nLearning Objectives: \n\n\n	Identify areas 
 of radiology workflow that can be optimized through the use of AI\n	Discove
 r benefits of management of incidental findings through AI workflow optimi
 zation\n	Discuss benefits of AI image classification for the Emergency Depa
 rtment\n\n\nBIO: Dr Adrian Florea practices Emergency Medicine at Saint Ma
 ry's Hospital and the MUHC. He has completed a Masters in Biomedical Infor
 matics and shares an interest in clinical decision support\, the use of AI
  in imaging informatics and predictive analytics.\n
DTSTART:20240523T130000Z
DTEND:20240523T160000Z
SUMMARY:EMHI ROUNDS 
URL:https://www.mcgill.ca/emergency/channels/event/emhi-rounds-357374
END:VEVENT
END:VCALENDAR
