Publications by authors named "Jessica S Tanenbaum"

Objective: To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements.

Materials And Methods: HARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. Using scalable, distributed natural language processing and problem salience computation, the system extracts content from the patient notes and aggregates and presents information from multiple care settings.

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Synopsis of recent research by authors named "Jessica S Tanenbaum"

  • - Jessica S Tanenbaum's research primarily focuses on developing innovative health informatics tools, with particular emphasis on improving patient data management and visualization.
  • - Her notable work, "HARVEST," introduces a novel point-of-care patient summarization tool that utilizes advanced natural language processing to create interactive visual representations of longitudinal patient records.
  • - The formative evaluation conducted for HARVEST highlights its effectiveness in aggregating information from diverse care settings, providing valuable insights for iterative enhancements to the system.