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DESCRIPTION:EMHI ROUNDS – December 7\, 2023 \n\nHi all\, Join us for a talk
  on core topic\, a journal club\, and a case study in health IT:  \n\nvia 
 Teams : 2023-2024 link  \n\n9am: GUEST SPEAKER – Hospitalization at Home: 
 A potential solution to ED overcrowding?: Nisha Almeida\, PhD/ Manager\, H
 ealth Technology Assessment Unit of the MUHC\n\nLearning objectives: \n\n1
 ) Understand the current environment of Hospital at Home models (Virtual C
 are Wards) in Canada and elsewhere\, and the technologies used to support 
 them.\n\n2) Learn how to conceptualize an evaluation framework to measure 
 the impact of a Hospital at Home on ED overcrowding.\n\n​Question: 1) Do y
 ou think Hospitals at Home can have an impact on ED overcrowding? and 2) H
 ow would you plan a study to measure the impact?\n\n \n\n 10 am –Core topi
 c – Clinical Decision-Support Systems\, Chapter 23 from the book of: Biome
 dical Informatics\, By: Bassam Alomar\, Pediatric-EMHI fellow\n\nLearning 
 Objectives :\n\n\n	Design considerations when building a decision-support s
 ystem.\n	Current standards in the HIT industry that facilitate the construc
 tion of decision-support applications.\n	Areas of research and development 
 in clinical decision-support systems\n\n\nQuestion: What are the key motiv
 ations for clinical decision support?\n\n \n\n11 am – Journal Club\, By: S
 aleh Alsaeed\, Pediatric-EMHI fellow\n\nTitle: Real-time AI prediction for
  major adverse cardiac events in emergency department patients with chest 
 pain \n\nLearning Objectives:\n\n\n	To understand the ability if the AI mod
 el in predicting major cardiac events in ED patients with chest pain.\n	To 
 compare the accuracy of the AI model with the traditional methods for pred
 icting cardiac events.\n\n\nQuestion: What are the factors that you would 
 consider when adopting an AI prediction model?\n\n \n\n BIO: Nisha Almeida
  leads the Health Technology Assessment Unit (TAU) of the MUHC\, an adviso
 ry group that assists the hospital administration and clinical teams in ma
 king evidence-based decisions for the adoption of novel health interventio
 ns. Her team of scientists conducts evaluations on the effectiveness\, saf
 ety and cost-effectiveness of new health interventions or changes in pract
 ice\, using the best-available scientific evidence. Nisha has a PhD in Epi
 demiology and Biostatistics from 9IÖÆ×÷³§Ãâ·Ñ.\n\nBIO: Dr. Saleh Alsa
 eed\, health informatics emergency medicine fellow\, department of emergen
 cy medicine\, 9IÖÆ×÷³§Ãâ·Ñ. He is from pediatric background\, finishe
 d his pediatric medicine board in Saudi Arabia\, and pediatric emergency m
 edicine fellowship in McMaster prior to being enrolled in his current fell
 owship. Dr. Saleh has an interest in workflow and human behavior.\n\nBio: 
 Dr. Bassam Alomar\, health informatics emergency medicine fellow\, departm
 ent of emergency medicine\, 9IÖÆ×÷³§Ãâ·Ñ. He is from pediatric backgr
 ound\, finished his pediatric medicine board and pediatric emergency medic
 ine fellowship in Saudi Arabia\, worked as a staff for 2 years prior to be
 ing enrolled in his current fellowship. Dr. Bassam has an interest in work
 flow improvement\, big data management and machine learning.\n
DTSTART:20231207T140000Z
DTEND:20231207T170000Z
SUMMARY:EMHI Rounds December 7\, 2023
URL:/emergency/channels/event/emhi-rounds-december-7-2
 023-352804
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