Support for fast comprehension of ICU data: visualization using metaphor graphics.
ABSTRACT The time-oriented analysis of electronic patient records on (neonatal) intensive care units is a tedious and time-consuming task. Graphic data visualization should make it easier for physicians to assess the overall situation of a patient and to recognize essential changes over time.
Metaphor graphics are used to sketch the most relevant parameters for characterizing a patient's situation. By repetition of the graphic object in 24 frames the situation of the ICU patient is presented in one display, usually summarizing the last 24 h.
VIE-VISU is a data visualization system which uses multiples to present the change in the patient's status over time in graphic form. Each multiple is a highly structured metaphor graphic object. Each object visualizes important ICU parameters from circulation, ventilation, and fluid balance.
The design using multiples promotes a focus on stability and change. A stable patient is recognizable at first sight, continuous improvement or worsening condition are easy to analyze, drastic changes in the patient's situation get the viewers attention immediately.
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ABSTRACT: One mission of medical informatics is to provide physicians, nurses, and other health care providers with the technology and tools for interpreting large and diverse data sets, so that appropriate critical care decisions can be facilitated. Ideally, medical data visualization provides the means to transform data into information and contextual knowledge suitable for interpretation and decision-making by Van Bemmel and Musen (1997) and Coiera (1997). The authors propose a model through which data is organized into multivariate multidimensional critical care patient data visualizations (CPDV). It does this as the primary means to represent and manage complex context-based patient data at various user-defined temporal resolutions. Furthermore, user-defined spatial organization of multiple (clinically related) datasets allows rapid visualization of significant trends that are related to several co-variables. Currently, anticipated findings from usability testing support the notion that the proposed model will facilitate medical decision making in a critical care environmentInformation Visualization, 2006. IV 2006. Tenth International Conference on; 08/2006
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ABSTRACT: Time plays an important role in medicine, both the past and the future. The medical history of a patient represents the past, which needs to be understood by the physician to make the right decisions. The past contains two different kinds of information: measured data (such as blood pressure) and incidents (such as seizures). Planning therapies, on the other hand, requires looking into the future to a certain extent. Visual representations exist for both the past and the future, and they are very useful for getting a better understanding of data or a plan. This paper surveys visualization techniques for both data analysis and planning, and compares them based on a number of criteria.International Journal of Medical Informatics 01/2003; 68(1-3):141-53. DOI:10.1016/S1386-5056(02)00072-2 · 2.72 Impact Factor
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ABSTRACT: Diagnostic errors lead to preventable hospital morbidity and mortality. ICU patients may be at particularly high risk for misdiagnosis. Little is known about misdiagnosis in pediatrics, including PICU and neonatal ICU. We sought to assess diagnostic errors in PICU and neonatal ICU settings by systematic review.Pediatric Critical Care Medicine 10/2014; 16(1). DOI:10.1097/PCC.0000000000000274 · 2.33 Impact Factor