Hippocratic AI Partners with Academia to Create GenAI Curriculum for Nurses

Hippocratic AI, a generative AI company developing safety-focused LLMs for healthcare, is partnering with Adtalem Global Education to create an academic curriculum to train and certify nurses on the use of AI in healthcare.

"What we wanted to do is develop a curriculum that really educates nurses around general introductions to artificial intelligence and generative AI, which are very different kinds of tools and technologies—how we can integrate AI into clinical workflows and the ethical and legal regulatory considerations of using generative AI in healthcare." Dr. Meenesh Bhimani, Co-founder and Chief Medical Officer at Hippocratic AI, told MobiHealthNews. 

"By giving this foundation of knowledge to nurses, we hope it empowers them to not only be able to critically assess new technology that comes out, but also really understand how they can engage with the technology to affect patient outcomes and patient care."

The company’s partnership with Adtalem’s Chamberlain University and Walden University will leverage Adtalem's clinical knowledge and Hippocratic's technical know-how to jointly develop an AI curriculum and certification program. This is expected to help nurses understand how to use, integrate, and oversee AI systems effectively in healthcare. 

Potential topics within the curriculum include:

• Introduction to AI: Understanding the basics of AI, its history, and its impact on various industries, with a focus on healthcare.

• Types of AI and applications: An overview of different types of AI, including machine learning, deep learning, and generative AI, and their applications in healthcare settings.

• Generative AI basics: A deep dive into the principles of generative AI, how it works, and its potential uses in clinical practice.

• Generative AI in nursing: Specific applications of generative AI in nursing, including patient care, diagnostics, and personalized treatment planning.

• Ethical considerations: Discuss the ethical implications of AI in healthcare, including privacy, bias, and the responsible use of AI technologies.

• AI tools and technologies: An introduction to the various AI tools and platforms currently available to clinicians, with practical demonstrations.

• Collaboration with AI: Strategies for integrating AI into clinical workflows, enhancing collaboration between AI systems and healthcare professionals.

• Future trends in AI and nursing: exploration of emerging trends in AI technology and how they might shape the future of nursing and healthcare.

Notably, the curriculum will be designed with foundation modules and updated with the progression of AI technology.