The use of electronic health records (EHRs) in clinical environments provides new opportunities for nurses to integrate data analyses into their practice. While having access to these records has many benefits, the act of recording, retrieving, and analyzing this data can nonetheless introduce communication issues, as navigating and interpreting large amounts of heterogeneous data can be difficult, and conclusions can be hard to validate. In this paper, we describe a series of integrated visual interfaces to help nurses document and reason about patient data and about clinicians’ understanding of patient data. The interfaces present the output of a predictive algorithm that makes use of historical EHR data, patient vital signs, and nurse handoff reports in order to classify a patient in terms of their likelihood of experiencing clinical events. Furthermore, the interfaces enable the nurses to quickly explore the original data and to examine other nurses’ interpretation of patient activity during previous shifts. We present a series of usage scenarios that introduce our interactive visualization tools in the context of real-world healthcare situations.

CCS Concepts
Applied computing -> Health care information systems; Health informatics; Human-centered computing -> Visual analytics; Information visualization

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Chetta, A., Carrington, J., Forbes, A. G., Augmenting EHR Interfaces for Enhanced Nurse Communication and Decision Making, In Proceedings of the Workshop on Visual Analytics in Healthcare (VAHC), Chicago, IL, October 25th, 2015.