Literature DB >> 18693906

Design and evaluation of a web-based interactive visualization system for lung transplant home monitoring data.

David S Pieczkiewicz1, Stanley M Finkelstein, Marshall I Hertz.   

Abstract

We describe the implementation and evaluation of an interactive system for displaying patient pulmonary information from a lung transplant home monitoring program. Software was designed to take case information and render it as Scalable Vector Graphics (SVG) in a web browser. Twelve clinician readers reviewed twenty randomly-ordered, retrospective cases in each of three display formats (graphical, graphical interactive, and tabular) and determined whether they showed signs of infection or graft rejection. Decision times and reader preferences were also recorded. No statistically significant differences were found with respect to decision accuracy. However, the graphical displays yielded up to 25% faster decision times than numerical tables. Readers overwhelmingly preferred the graphical formats, particularly the interactive displays. We believe that graphical, interactive displays of patient data would be well-accepted and efficacious tools in clinical practice, whether for transplant care, or any care involving the assessment of large bodies of time-oriented, multivariable data.

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Mesh:

Year:  2007        PMID: 18693906      PMCID: PMC2655794     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  11 in total

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2.  Influence of data display formats on physician investigators' decisions to stop clinical trials: prospective trial with repeated measures.

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Journal:  J Heart Lung Transplant       Date:  2006-08       Impact factor: 10.247

6.  Determination of reliability and validity in home monitoring data of pulmonary function tests following lung transplantation.

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Journal:  Res Nurs Health       Date:  1997-12       Impact factor: 2.228

7.  Multireader, multimodality receiver operating characteristic curve studies: hypothesis testing and sample size estimation using an analysis of variance approach with dependent observations.

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Authors:  M Brundage; D Feldman-Stewart; A Leis; A Bezjak; L Degner; K Velji; L Zetes-Zanatta; D Tu; P Ritvo; J Pater
Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

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Authors:  Terrence J Adam; Stanley M Finkelstein; Stephen T Parente; Marshall I Hertz
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  6 in total

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Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

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Journal:  2017 IEEE Workshop Vis Anal Healthc VAHC (2017)       Date:  2017-10

5.  Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.

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6.  Disentangling the clinical data chaos: User-centered interface system design for trauma centers.

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  6 in total

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