title: Clinical Data Visualization: The Current State and Future Needs.
abstract: The growing volume of clinical data in modern medical practice creates difficulties for clinicians when attempting to come to a full understanding of each patient's overall health status. Many different approaches to computer-based visualizations have been taken in an attempt to alleviate this burden; however, no single approach has been widely adopted. As a step towards optimization and standardization of data visualization in healthcare, this paper presents a diverse set of approaches to visualization for multiple organ systems. To do so we summarize best practices in design and evaluation while proposing usability testing methodology. We then review and illustrate the goals of various clinical data visualization techniques.
authors: Vanderbilt University, 1301 Medical Center Drive, The Vanderbilt Clinic, Suite 4648, Nashville, TN, 37232, USA. jonathan.p.wanderer@vanderbilt.edu.
authors: Jonathan P
authors: JP
authors: Wanderer
authors: Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Nashville, TN, 37212, USA.
authors: Sara E
authors: SE
authors: Nelson
authors: Vanderbilt University, 1301 Medical Center Drive, The Vanderbilt Clinic, Suite 4648, Nashville, TN, 37232, USA.
authors: Jesse M
authors: JM
authors: Ehrenfeld
authors: Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Nashville, TN, 37212, USA.
authors: Shelby
authors: S
authors: Monahan
authors: Department of Neurology, Columbia University Medical Center, 8GS-300 Center Milstein Building, 177 Fort Washington Ave, New York, NY, 10032, USA.
authors: Soojin
authors: S
authors: Park
mesh_terms: D000066491:Clinical Decision-Making; D019411:Clinical Laboratory Techniques; D003626:Data Display; D003952:Diagnostic Imaging; D006801:Humans; D008511:Medicine; D055553:Prescription Drugs; D014584:User-Computer Interface
chemical_list: D055553:Prescription Drugs
keywords: Data visualization; Laboratory data review; Physiologic data review