Trends spurring the growth of machine learning (ML) for processing clinical and regulatory documentation include the increasing number and types of documents required by regulatory authorities, the availability of cloud software services, and a move toward greater data standardization. Modern-day cloud computing services offer a scalable means to store and process large libraries of documents. This is helping to boost ML performance, a function of the number of documents and types of documents used in developing an ML application. The industry’s gradual adoption of standards and reference models helps by providing more consistent terminology that ML can recognize as metadata.
