2 research outputs found
Visualizing Patient Timelines in the Intensive Care Unit
Electronic Health Records (EHRs) contain a large volume of heterogeneous
patient data, which are useful at the point of care and for retrospective
research. These data are typically stored in relational databases. Gaining an
integrated view of these data for a single patient typically requires complex
SQL queries joining multiple tables. In this work, we present a visualization
tool that integrates heterogeneous health care data (e.g., clinical notes,
laboratory test values, vital signs) into a single timeline. We train risk
models offline and dynamically generate and present their predictions alongside
patient data. Our visualization is designed to enable users to understand the
heterogeneous temporal data quickly and comprehensively, and to place the
output of analytic models in the context of the underlying data
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation
Making decisions about what clinical tasks to prepare for is multi-factored,
and especially challenging in intensive care environments where resources must
be balanced with patient needs. Electronic health records (EHRs) are a rich
data source, but are task-agnostic and can be difficult to use as
summarizations of patient needs for a specific task, such as "could this
patient need a ventilator tomorrow?" In this paper, we introduce ClinicalVis,
an open-source EHR visualization-based prototype system for task-focused design
evaluation of interactions between healthcare providers (HCPs) and EHRs. We
situate ClinicalVis in a task-focused proof-of-concept design study targeting
these interactions with real patient data. We conduct an empirical study of 14
HCPs, and discuss our findings on usability, accuracy, preference, and
confidence in treatment decisions. We also present design implications that our
findings suggest for future EHR interfaces, the presentation of clinical data
for task-based planning, and evaluating task-focused HCP/EHR interactions in
practice