Electronic health records (EHR) and health information exchange (HIE), are key capabilities to address challenges facing the health care system. We aimed to understand the role that EHR and HIE data can play in reducing the probabilities of a patients' return visit to the emergency department (ED) within 30 days (i.e. a revisit). We examined the impact of four different classes of information available to health organizations. Models utilizing all data sources had the highest prediction scores. Information combined from EHRs, HIE, and area-level residential characteristics applied to Two-Class Boosted Decision Trees prediction models performed well and findings were robust. These findings show that the ability to access patients' medical history and their long term health conditions (via the HIE and EHR), including information about medications, diagnoses, recent procedures and laboratory tests is critical to forming an appropriate plan of care and eventually making more accurate admission decisions.