Literature DB >> 18359444

One size (doesn't) fit all.

Bruce Reiner1.   

Abstract

The current radiology workflow model is inherently flawed by its emphasis on quantity over quality, limited accountability, and relative inflexibility of the technology. This adverse affect of technology inflexibility is of particular importance within radiology, because it is the single medical specialty completely dependent on technology for all its existence. For practicing radiologists, the human-computer interaction involves a multitude of individual events that collectively constitute the interpretation process. These individual workflow steps include image retrieval, display, presentation, navigation, processing, manipulation, decision support, and reporting. Considering the heterogeneous nature of the diverse population of end users, it is no surprise that the relative rigidity of the supporting technology creates a tremendous burden on radiologists' performance. The ideal scenario would be the creation of adaptive technology, which would consist of flexible and intuitive software that adapts to the unique needs and preferences of each individual end user, as well as the specific task at hand, while maintaining "best practice" guidelines. This interactive software would take into account a number of variables (education and training, computer experience, personality, visual perception, motor skills) to create user-specific profiles, which can be stored in a centralized database, independent of the specific vendor and technology being used. This user-specific software would also integrate affective computing technologies to dynamically adjust to end users' ever changing emotional states and stress levels. The end result would be the creation of intuitive technology that dynamically adapts to the changing needs and abilities of users, as opposed to the current inflexible technology paradigm.

Entities:  

Mesh:

Year:  2008        PMID: 18359444     DOI: 10.1016/j.jacr.2007.09.006

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  11 in total

1.  Demystifying occupational stress and fatigue through the creation of an adaptive end-user profiling system.

Authors:  Bruce I Reiner; Elizabeth Krupinski
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

Review 2.  The insidious problem of fatigue in medical imaging practice.

Authors:  Bruce I Reiner; Elizabeth Krupinski
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

Review 3.  Innovation strategies for combating occupational stress and fatigue in medical imaging.

Authors:  Bruce I Reiner; Elizabeth Krupinski
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

Review 4.  Customization of medical report data.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2010-08       Impact factor: 4.056

5.  Strategies for radiology reporting and communication part 3: patient communication and education.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

Review 6.  Strategies for Medical Data Extraction and Presentation Part 3: Automated Context- and User-Specific Data Extraction.

Authors:  Bruce Reiner
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

Review 7.  Strategies for medical data extraction and presentation part 2: creating a customizable context and user-specific patient reference database.

Authors:  Bruce Reiner
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

8.  Expanding the functionality of speech recognition in radiology: creating a real-time methodology for measurement and analysis of occupational stress and fatigue.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

9.  Commoditization of PACS and the opportunity for disruptive innovation.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

10.  A validated subjective rating of display quality: the Maryland Visual Comfort Scale.

Authors:  F Jacob Seagull; Erica Sutton; Tommy Lee; Carlos Godinez; Gyusung Lee; Adrian Park
Journal:  Surg Endosc       Date:  2010-07-30       Impact factor: 4.584

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