Literature DB >> 11442076

Automated examination notification of emergency department images in a picture archiving and communication system.

K P Andriole1, D E Avrin, E Weber, D M Luth, T M Bazzill.   

Abstract

This study compares the timeliness of radiology interpretation of Emergency Department (ED) imaging examinations in a picture archiving and communication system (PACS) before and after implementation of an automated paging system for notification of image availability. An alphanumeric pager for each radiology subspecialty (chest, pediatrics, bone, neuroradiology, and body) was used to alert the responsible radiologist that an ED imaging examination is available to be viewed on the PACS. The paging system was programmed to trigger off of the PACS database when an image is received on the appropriate radiology display station. The pager message includes the radiology accession number and examination description (such as chest, two-view, or c-spine, etc). The PACS paging tool performance was assessed by calculating the time elapsed, for each ED imaging examination, from the Time Imaged to the Time of Interpretation, where the Time Imaged is the actual image completion time measured at the imaging modality, and the Time Interpreted is the time a radiology interpretation is rendered to the ED, and is measured from the Radiology-to-ED fax time stamp. These measures were analyzed pre- and post-paging system implementation to determine any impact of the automated notification tool on radiology service turnaround time. Results show an improved radiology response time from image completion to interpretation rendered to ED clinicians, down from hour(s) to minutes, with the automated paging examination notification system. Examinations are read by the appropriate radiology specialty section in a more timely fashion, and fewer cases go unread by radiology.

Mesh:

Year:  2001        PMID: 11442076      PMCID: PMC3452701          DOI: 10.1007/BF03190319

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  7 in total

1.  Flying blind: using a digital dashboard to navigate a complex PACS environment.

Authors:  Matthew B Morgan; Barton F Branstetter; Jonathan Mates; Paul J Chang
Journal:  J Digit Imaging       Date:  2006-03       Impact factor: 4.056

2.  Integrating multiple clinical information systems using the Java message service framework to enable the delivery of urgent exam results at the point of care.

Authors:  Wyatt M Tellis; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2005-12       Impact factor: 4.056

3.  'Wet Reads' in the age of PACS: technical and workflow considerations for a preliminary report system.

Authors:  Jonathan Mates; Barton F Branstetter; Matthew B Morgan; David M Lionetti; Paul J Chang
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

4.  A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.

Authors:  David F Lobach; Kensaku Kawamoto; Kevin J Anstrom; Garry M Silvey; Janese M Willis; Fred S Johnson; Rex Edwards; Jessica Simo; Pam Phillips; David R Crosslin; Eric L Eisenstein
Journal:  J Med Syst       Date:  2013-01-13       Impact factor: 4.460

Review 5.  Mapping turnaround times (TAT) to a generic timeline: a systematic review of TAT definitions in clinical domains.

Authors:  Bernhard Breil; Fleur Fritz; Volker Thiemann; Martin Dugas
Journal:  BMC Med Inform Decis Mak       Date:  2011-05-24       Impact factor: 2.796

6.  Improving Emergency Department radiology transportation time: a successful implementation of lean methodology.

Authors:  Eveline A Hitti; Ghada R El-Eid; Hani Tamim; Rana Saleh; Miriam Saliba; Lena Naffaa
Journal:  BMC Health Serv Res       Date:  2017-09-05       Impact factor: 2.655

Review 7.  The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.

Authors:  B Olisemeke; Y F Chen; K Hemming; A Girling
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

  7 in total

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