Medical Education in the age of AI

Future medical practice will have four characteristics to consider in medical training:

1. The patient’s portable medical devices will generate a large flow of data.
   

2. Different care teams will provide care with a leader who must coordinate them all.
   

3. It is based on an increasing number of data from multiple sources and several applications of artificial intelligence.
   

4. Machines will be able to perform tasks that have traditionally been performed by doctors.

Thus, medical education must make better use of cognitive psychology results, pay more attention to cooperation between humans and machines in education, and increase the use of simulations.

We will need new skills as we move into the age of artificial intelligence, for example:

• Residents must be exposed to big data in the context of decision-making

• They must develop a solid understanding of the four “Vs” of big data:

1. Volume: the amount of data today is large compared to the amount in the past

2. Variety: data comes from many sources of variable validity
   

3. Speed: data is generated very quickly
   

4. Veracity: the quality of the data generated must be assessed

• They need to have a basic understanding of how data is cumulated, analyzed, and personalized in health across applications of artificial intelligence.

Medical training will need to evolve to include careful attention to the use of information and intelligence tools such as machine learning and robots.

With a constant focus on improving performance and outcomes, communication skills, and patient compassion in an area dominated by technology.