Literature DB >> 17674629

TimeLine: visualizing integrated patient records.

Alex A T Bui1, Denise R Aberle, Hooshang Kangarloo.   

Abstract

An increasing amount of data is now accrued in medical information systems; however, the organization of this data is still primarily driven by data source, and does not support the cognitive processes of physicians. As such, new methods to visualize patient medical records are becoming imperative in order to assist physicians with clinical tasks and medical decision-making. The TimeLine system is a problem-centric temporal visualization for medical data: information contained with medical records is reorganized around medical disease entities and conditions. Automatic construction of the TimeLine display from existing clinical repositories occurs in three steps: 1) data access, which uses an eXtensible Markup Language (XML) data representation to handle distributed, heterogeneous medical databases; 2) data mapping and reorganization, reformulating data into hierarchical, problemcentric views; and 3) data visualization, which renders the display to a target presentation platform. Leveraging past work, we describe the latter two components of the TimeLine system in this paper, and the issues surrounding the creation of medical problems lists and temporal visualization of medical data. A driving factor in the development of TimeLine was creating a foundation upon which new data types and the visualization metaphors could be readily incorporated.

Entities:  

Mesh:

Year:  2007        PMID: 17674629     DOI: 10.1109/titb.2006.884365

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  22 in total

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2.  Problem-centric organization and visualization of patient imaging and clinical data.

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3.  A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective.

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4.  A qualitative analysis of EHR clinical document synthesis by clinicians.

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6.  Context-based electronic health record: toward patient specific healthcare.

Authors:  William Hsu; Ricky K Taira; Suzie El-Saden; Hooshang Kangarloo; Alex A T Bui
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-03

7.  Visual Analytics for Pattern Discovery in Home Care. Clinical Relevance for Quality Improvement.

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8.  Understanding outcomes in cancer surgery through time structured patient records.

Authors:  David A Rew
Journal:  Indian J Surg Oncol       Date:  2012-02-16

9.  Use of an Expedited Review Tool to Screen for Prior Diagnostic Error in Emergency Department Patients.

Authors:  J Hudspeth; R El-Kareh; G Schiff
Journal:  Appl Clin Inform       Date:  2015-10-14       Impact factor: 2.342

10.  Is the problem list in the eye of the beholder? An exploration of consistency across physicians.

Authors:  John C Krauss; Philip S Boonstra; Anna V Vantsevich; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2016-03-21       Impact factor: 4.497

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