Abstract
The use of data for identifying individuals at risk for chronic or high-cost health conditions has been expanding over the past dozen years. The availability of data from patient electronic health records and other sources close to the patient, such as through continuous physiologic monitoring, are demonstrating that information from these sources can greatly assist in both identifying the patients most likely to be at-risk as well as providing the insight into which patients, once diagnosed, are likely to experience adverse events while in-hospital or at-home. In this chapter, the authors discuss key health-related patient safety issues and how the use of data from population-based sources such as health information exchanges (HIEs), electronic health record systems (EHRs), and real-time sources such as continuous physiologic monitoring can assist in diagnosing and identifying key markers of patient adverse events. The interpretation of these data can result in earlier intervention at the bedside that have an impact on patient safety and the health of individuals.
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