Using Artificial Intelligence to Reduce Carbon Footprint of Healthcare Facilities

Event Time

Originally Aired - Thursday, March 14 2:15 PM - 2:45 PM Eastern Time (US & Canada)

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Event Location

Location: W307A


Event Information

Type: General Education

Session ID: 235

Title: Using Artificial Intelligence to Reduce Carbon Footprint of Healthcare Facilities

Description: Emirates Health Services is pioneering in sustainability efforts and one of the key programs built is a first-of-its-kind AI solution to measure and reduce the carbon footprint of their health system. There were an estimated savings of 1.4 billion grams of CO2 by EHS in 2022, with the help of AI and an eHealth strategy, which is targeted for further reduction. An algorithm was designed for estimating the carbon footprint of EHS. An interactive dashboard with “C footprint simulator” provided real-time actionable insights to monitor our emissions. We strategized the reduction while the AI solution proactively identifies appointments that can be converted to an e-clinic.

Level: Advanced

Format: 30-Minute Learning Burst

Learning Objective #1: Examine AI applications in healthcare sustainability

Learning Objective #2: Identify various areas in healthcare where AI can be applied to enhance sustainability efforts and learnings from Emirates Health Services on how AI can optimize patient travel to healthcare facilities

Learning Objective #3: Assess data collection and analysis and describe the role of data collection through various sources in an AI-driven sustainability initiative

Learning Objective #4: Explore data analysis techniques to identify patterns, trends, and opportunities for sustainability improvements

Learning Objective #5: Analyze real-world case studies of healthcare facilities successfully implementing AI-driven sustainability strategies at EHS and use best practices and lessons learned from these implementations


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Continuing Education Credits

  • CAHIMS – 0.5 Credit(s)
  • CHES/MCHES – 0.5 Credit(s)
  • CME – 0.5 Credit(s)
  • CNE – 0.5 Credit(s)
  • CPD UK – 0.5 Credit(s)
  • CPHIMS – 0.5 Credit(s)

  • Tracks


    Categories

    Organizational Governance

    • Climate Impact, Risk, and Sustainability

    Audience

    • Data Scientist
    • Information Management Professional
    • Research and Development Professional