作者: Anthony Faiola , Preethi Srinivas , Simon Hillier
关键词: Patient safety 、 Human–computer interaction 、 Dashboard (business) 、 Cognitive load 、 Knowledge management 、 Data visualization 、 Workflow 、 Visualization 、 Electronic medical record 、 Computer science 、 Cognition
摘要: A decade of emerging bedside information-visualization devices and clinical decision-support systems has provided intensive care unit (ICU) clinicians with a range tools that display intelligently filter data in ways support patient diagnosis. There is an absence, however, research adequately addresses the need for visualization (related to context-sensitive information) can reduce cognitive strain during decision-making. In response this issue, Medical Information Visualization Assistant (MIVA) was designed contextually organize longitudinal visual-enhancing easy, rapid more accurate analysis/interpretation real-time data. MIVA envisioned as electronic medical record (EMR) dashboard load related diagnostic error. The current design phase will include communication enhance MIVA's capacity ICU team collaboration. paper we describe two studies ...