Knowledge Management in a Learning Health System

Abstract

Over the past few centuries, medical science has been growing steadily. The pace has accelerated in the last few decades. This new knowledge is slow to change the practice of medicine, although we have been using information technology tools for data collection, manipulation and analysis. Sample sizes have grown bigger over the years for clinical trials. Today, with the implementation of electronic health record (EHR), availability of clinical data has increased. It is now possible to study the whole population 224instead of a sample using machine learning and artificial intelligence tools. The speed and capacity to manipulate and analyze data have increased tremendously with the availability of larger capacity of hardware, faster software and better algorithms. We are about to see a flurry of new discoveries and new knowledge. This chapter will discuss the role of (i) knowledge curation, (ii) knowledge translation and (iii) new knowledge generation in medicine using machine learning and artificial intelligence in a learning health system.

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