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Developing an Electric Flowsheet for Pediatric Intensive Care Units David Bauer and Stephanie Guerlain* University of Virginia Department of Systems and Information Engineering School of Engineering and Applied Science, Charlottesville, VA 22904-4747 *Co-Director, Medical Informatics Training Program [email protected] Flowsheet Analysis Introduction • By studying PICU flowsheets in the context of their actual use, we have defined requirements based on how clinicians track patient data. In the pediatric intensive care unit (PICU), large amounts of data are generated by distributed sources. Paper flowsheets bundle data in a central location, but may not be the optimal design for electronic systems. • • Electronic medical records have the potential to extend health care providers’ abilities to view, integrate and share information. However, the available electronic products have largely been designed to replicate paper-based systems without taking advantage of what we know about human perception and decision making and the “user centered design process.” The prototype electronic flowsheet surpasses the capabilities of available systems. The proposed design enables better tracking of patient state by providing and showing relationships among variables. Novel graphical elements have been developed for visualizing data trends, acid-base balance, fluid balance, and the Glasgow Coma Scale. Objective The purpose of this study was to apply user-centered design principles to create an electronic flowsheet for pediatric intensive care units that will address the shortcomings of available paper and electronic systems. Paper flowsheets are designed for ease of data entry, grouping data by source. Physician daily notes are grouped by system, integrating lab values, medications, vital signs, etc. Strengths Bundles and summarizes key information Both structured and flexible Portable (locally) Weaknesses Static Spatial constraints Determining trends and ranges requires many comparisons A sample page from a flowsheet containing arterial blood gas and other laboratory results. Design Concepts Zones for common diagnoses Other input Drips Mouse-over data points for time and values. Urine Other output Data point shade one indicator of time Cumulative Slider for finding cumulative totals of any time range Axes show data range A graphic for hourly and cumulative fluid balance. Click-and-drag target value. Data points resize based on distance from target Adjusted (purple) and normal O2-Hemoglobin dissociation curves. Reference ranges appear on mouse over Grey bar (normal range) is a 24 hour timeline. Lighter grey shows 48 hours. Acid-base map and O2-Hemoglobin Curve Mouth = verbal response Eyes = eye response Pupils = pupil dilation Eyebrows = pain Ears = motor response Nose = turn/position Black lines is the patient’s range over a given time period, and the dot is the currently selected value. The text is also the patient’ range. Most recent value, or value for time period on mouse over Critical values appear in red. Faces represent GCS and other nursing assessments Trend and range graphics for lab data and vital signs. Proposed Design Design Goals • Consolidate as much information on a single screen as possible • Use graphics that provide an overview with details-on-demand • Place related data elements on the same time scale • Show the relationships among data Future Work • Continue to add functionality for filtering and customizing views • Create patient cases for a formative evaluation with attending physicians and for an experiment with residents • Develop training scenarios for residents, particularly focused on acid-base, electrolyte and fluid balance In addtion to the design concepts shown above, the interface contains a list of most recent values of significant variables, a timeline for events and data collection, and problem, event, and medication lists. Acknowledgements This work was supported by the National Science Foundation under Grant No. 0092985 and by the National Library of Medicine Medical Informatics Training Grant