Critical Care, Critical Data: Artificial Intelligence Lifecycle Simulation
Duration: 60 min
Type of game: Single-player, Multi-player
Critical Care, Critical Data is an engaging simulation that explores the use of artificial intelligence (AI) to predict COVID-19 outcomes during the pandemic. Co-developed with the esteemed IESE Business School and based on a case written by Javier Zamora, this simulation is perfect for graduate students and executive education programs, offering a comprehensive introduction to data science and AI applications in healthcare. Participants will be part of the Data Science committee of a hospital, using AI to predict patient outcomes, allocate resources effectively, and save lives.
The Critical Care, Critical Data simulation offers a hands-on learning experience that teaches participants the critical aspects of applying AI in healthcare, particularly in addressing the challenges of the COVID-19 pandemic. By participating in this simulation, learners will be better equipped to understand the potential of AI in healthcare and make informed decisions related to AI-driven healthcare management.
Type of game: Single-player, Multi-player
Critical Care, Critical Data is an engaging simulation that explores the use of artificial intelligence (AI) to predict COVID-19 outcomes during the pandemic. Co-developed with the esteemed IESE Business School and based on a case written by Javier Zamora, this simulation is perfect for graduate students and executive education programs, offering a comprehensive introduction to data science and AI applications in healthcare. Participants will be part of the Data Science committee of a hospital, using AI to predict patient outcomes, allocate resources effectively, and save lives.
The Critical Care, Critical Data simulation offers a hands-on learning experience that teaches participants the critical aspects of applying AI in healthcare, particularly in addressing the challenges of the COVID-19 pandemic. By participating in this simulation, learners will be better equipped to understand the potential of AI in healthcare and make informed decisions related to AI-driven healthcare management.
Collection: IESE (España)
Ref: OITW-1-E
Format: Web
Duration: 1h 00m 00s
Publication Date: Feb 22, 2023
Language: English, Spanish
What material is included in this case:
Description
Duration: 60 min
Type of game: Single-player, Multi-player
Critical Care, Critical Data is an engaging simulation that explores the use of artificial intelligence (AI) to predict COVID-19 outcomes during the pandemic. Co-developed with the esteemed IESE Business School and based on a case written by Javier Zamora, this simulation is perfect for graduate students and executive education programs, offering a comprehensive introduction to data science and AI applications in healthcare. Participants will be part of the Data Science committee of a hospital, using AI to predict patient outcomes, allocate resources effectively, and save lives.
The Critical Care, Critical Data simulation offers a hands-on learning experience that teaches participants the critical aspects of applying AI in healthcare, particularly in addressing the challenges of the COVID-19 pandemic. By participating in this simulation, learners will be better equipped to understand the potential of AI in healthcare and make informed decisions related to AI-driven healthcare management.
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Type of game: Single-player, Multi-player
Critical Care, Critical Data is an engaging simulation that explores the use of artificial intelligence (AI) to predict COVID-19 outcomes during the pandemic. Co-developed with the esteemed IESE Business School and based on a case written by Javier Zamora, this simulation is perfect for graduate students and executive education programs, offering a comprehensive introduction to data science and AI applications in healthcare. Participants will be part of the Data Science committee of a hospital, using AI to predict patient outcomes, allocate resources effectively, and save lives.
The Critical Care, Critical Data simulation offers a hands-on learning experience that teaches participants the critical aspects of applying AI in healthcare, particularly in addressing the challenges of the COVID-19 pandemic. By participating in this simulation, learners will be better equipped to understand the potential of AI in healthcare and make informed decisions related to AI-driven healthcare management.
Geographic Setting: Spain
Industry Setting: Health
Learning Objective
- Understand the potential applications and benefits of AI in healthcare, specifically in managing the COVID-19 pandemic.
- Gain insights into the AI lifecycle, from data acquisition and model training to continuous improvement and implementation.
- Develop effective communication and collaboration skills to interact with data teams and project stakeholders.
- Experience the complexities of utilizing AI in a healthcare setting and the ethical considerations involved.
Throughout the simulation, participants will be exposed to the AI lifecycle and the challenges of implementing AI in a healthcare environment, while also considering the ethical implications of AI-driven decision-making.
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