This course will focus on how technology has affected and continues to impact the nursing profession. It will begin with an overview of nursing technology, where you will understand its role and how it has changed the profession. You will become familiar with various technologies used in global healthcare services, along with their advantages and limitations.Next, you will explore the implications of adopting emerging technologies like smart devices and AI or Artificial Intelligence. How can nursing practice benefit from the proliferation of technology within the healthcare system? The course will answer this as you analyze the ethical implications and challenges of adopting the latest technological solutions. However, you will also learn about the potential benefits of adapting to new technology.Nursing care is much more than monitoring or mentoring patients. It entails being empathetic and caring. Finally, as the role of nurses in implementing technology in their practice is discussed, you will be made aware of maintaining a delicate balance between human interactions and automation. This course will be helpful for anyone interested in pursuing a career in nursing. Enrol today to enhance your nursing skills.
Advantages and disadvantages
Advantages
Free to study, and short.
Completely free.
Self-paced: start any time.
Disadvantages
Certificates and diplomas are paid, and not widely recognised by employers.
Quality varies a lot between publishers; check the ratings.
The site shows many ads on the free plan.
Learners rate it 3.5 out of 5, lower than most.
Learning is free, but the certificate costs money.
Some points apply to every course of this kind; see how we rank.
Free to study
Free: Every module is free with an Alison account (with ads).
Certificate: Optional and paid: a digital or printed certificate or diploma.
Instructors: David Sontag, Peter Szolovits View the complete course: https://ocw.mit.edu/6-S897S19 Introduces students to machine learning in healthcare, the nature of clinical data, and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis…
Join Stanford professors Matt Lungren and Justin Norden as they explore the impacts and applications of AI in Healthcare. In conversations with top medical professionals, industry leaders, and academic experts, they draw upon their research to discuss common misconceptions, fears and exciting advan…