Modern hospitals are increasingly complex entities comprising healthcare teams, working in parallel, to provide care for hospitalized patients. The team’s goal of providing excellent clinical care to patients is highly dependent upon each team member’s ability to communicate efficiently and effectively. Unfortunately, as teams and facilities grow in size and complexity, communication, which was once predominantly face-to-face, is increasingly complex and difficult. This project was conceived to build the foundation for future work in this domain, by 1) creating a robust and flexible data pipeline to clean and transform data from a secure text messaging database into network models which will enable 2) utilizing network-specific analysis to (a) identify the characteristics of the inpatient communication network, (b) understand key users and roles within the communication network, and (c) help understand vulnerable users and populations and the impact of emerging automated messaging systems on the communication network of a hospital system.