Course curriculum

    1. A message from the instructor

    2. How to use this course

    1. Introduction to the course

    1. Writing SOAP notes using ChatGPT

    1. 02-referral-request

    1. Writing referral responses using ChatGPT

    1. Writing requests letters to insurance companies using ChatGPT

About this course

  • Free
  • 11 lessons
  • 1 hour of video content
  • Beginner Level

Learning Objectives

After you complete this course, you will be able to:

  • Utilize ChatGPT to write SOAP notes, patient referrals, referral responses, insurance letters, and many other documents efficiently

  • Improve clarity, accuracy, and professionalism in written healthcare communication using ChatGPT

  • Understand and navigate ethical considerations of using ChatGPT in healthcare.

  • Implement ChatGPT into healthcare workflows while maintaining high standards of care and compliance

Why this course?

  • Simple

    Learn complex topics in a very easy way. You do not need to have a computer science background to participate

  • Self -Paced

    1 hour of content. Complete the full course at your convenience

  • Boost your Productivity

    Unlock higher productivity levels by simplifying workflows and automating repetitive, time-consuming tasks

FAQ

  • Who should take this course?

    This course is designed for physicians, residents, fellows, and medical students working in hospitals

  • What are the requirements or prerequisites for taking this course?

    This course does not require any prior programming experience and is designed for those who are new to the field and looking to learn everything from scratch. It is encouraged to take "ChatGPT 4 Healthcare" course prior to taking this course but it is not mandatory.

  • Can I have a certificate at the end of this course?

    Yes, upon course completion, a certificate will be provided upon request

Discover your potential, starting today

Enroll today

Instructor Bio

C. Beau Hilton, MD

As a physician-scientist passionate about leveraging data science and AI to enhance healthcare outcomes and equity, I have developed interpretable machine learning models that predict patient outcomes and democratize cancer diagnostics. My research at the Cleveland Clinic's Center for Clinical AI catalyzed tangible improvements in patient care by integrating socioeconomic data with clinical information. Recognizing the transformative potential of technology in medical education, I have empowered healthcare educators at the Harvard Macy Institute to embrace accessible, open-source resources, and at Vanderbilt I spearheaded the technological development of the most widely used online handbook for residents. Currently, I am harnessing AI and machine learning to uncover trends, disparities, and opportunities in cancer research. Through this course, I am excited to share my expertise with fellow clinicians, helping you integrate cutting-edge tools like large language models into your daily workflows to streamline processes, support decision-making, and create a more efficient and effective healthcare system for every patient and every provider