ChatGPT in Healthcare: AI-Powered Medical Innovation
Learn to leverage ChatGPT for enhanced patient care, data management, and healthcare administration in this intermediate-level course.
Learn to leverage ChatGPT for enhanced patient care, data management, and healthcare administration in this intermediate-level course.
Explore the transformative potential of ChatGPT in healthcare with this comprehensive course. Delve into AI's impact on the medical field, examining diverse use cases that showcase ChatGPT's capabilities in patient care, data accessibility, and healthcare administration. Gain insights into ethical and legal considerations surrounding AI implementation in healthcare. Learn to apply ChatGPT in daily medical activities, revolutionizing care delivery, medical data access, and administrative efficiency. This course empowers healthcare professionals to be at the forefront of AI-driven innovation, enhancing patient outcomes and streamlining healthcare processes.
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Instructors:
English
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What you'll learn
Understand the impact of AI and language models in healthcare
Explore various use cases for ChatGPT in medical settings
Navigate ethical and legal considerations of AI in healthcare
Apply ChatGPT to enhance patient care and communication
Streamline healthcare administration using AI tools
Improve access to and interpretation of medical data
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This course explores the application of ChatGPT, an advanced language model, in the healthcare industry. It covers the impact of AI and language models on healthcare, investigating various use cases for ChatGPT in medical settings. The curriculum includes modules on building with ChatGPT in healthcare and advanced ChatGPT techniques specific to medical applications. Participants will learn about ethical and legal considerations surrounding AI use in healthcare. The course emphasizes practical applications, teaching students how to harness ChatGPT's potential in patient care, streamline healthcare administration, and improve access to medical data. It aims to equip healthcare professionals with the knowledge to integrate ChatGPT into their daily activities, potentially revolutionizing healthcare delivery and management.
Introduction to Using ChatGPT in Healthcare
Module 1
Building with ChatGPT in Healthcare
Module 2
Advanced ChatGPT Techniques in Healthcare
Module 3
Course Conclusion
Module 4
Fee Structure
Instructors
3 Courses
Tech Leader Pioneering AI-Driven Education Solutions
Miguel Amigot serves as the Chief Technology Officer at IBL Education, where he spearheads the development of AI-driven educational platforms serving prestigious organizations like NVIDIA, Cisco, Tesla, IBM, MIT, and the U.S. Department of Defense. Based in New York City, he combines his expertise as both a computer scientist and electrical engineer to deliver practical course series focused on live demonstrations and active learning. His role involves leveraging cutting-edge AI technologies and creating innovative educational solutions that transform how organizations approach learning and development. As a speaker and course creator, he brings hands-on experience and technical knowledge to help bridge the gap between advanced technology and practical education, making him a key figure in the intersection of artificial intelligence and educational technology.
Healthcare Data Scientist and Public Health Advocate
Sunder Sai combines expertise in data science and public health to drive healthcare innovation and community education. He holds a Master's in Public Health (MPH) from Columbia University in New York City and has an academic foundation in Neuroscience. His professional career spans both government initiatives and venture capital-backed enterprises, where he has successfully implemented data-driven healthcare platforms. Sunder's work is particularly focused on bridging healthcare gaps through active learning methodologies in underserved communities. His expertise includes patient risk prediction, disease outbreak forecasting, and healthcare analytics, enabling him to develop comprehensive solutions that address both technological and social aspects of healthcare delivery
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Frequently asked questions
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