"Clinical data management (CDM) faces several challenges, including managing the increasing volume of data, adapting to complex trial designs, and handling mid-study changes.
The evolving role of clinical data managers now requires expertise in data science and analytics, along with proficiency in using AI and machine learning tools to improve data accuracy and efficiency. Future Clinical data management systems must be user-friendly, support rapid changes, and ensure data security and standardization."