Literature DB >> 10847382

The use of digital imaging and communications in medicine (DICOM) in the integration of imaging into the electronic patient record at the Department of Veterans Affairs.

P M Kuzmak1, R E Dayhoff.   

Abstract

The US Department of Veterans Affairs (VA) is using the Digital Imaging and Communications in Medicine (DICOM) standard to integrate image data objects from multiple systems for use across the health care enterprise. DICOM uses a structured representation of image data and a communication mechanism that allows the VA to easily acquire images from multiple sources and store them directly into the online patient record. The VA can obtain both radiology and nonradiology images using DICOM, and can display them on low-cost clinician's color workstations throughout the medical center. High-resolution gray-scale diagnostic-quality multimonitor workstations with specialized viewing software can be used for reading radiology images. The VA's DICOM capabilities can interface six different commercial picture archiving and communication systems (PACS) and more than 20 different image acquisition modalities. The VA is advancing its use of DICOM beyond radiology. New color imaging applications for gastrointestinal endoscopy and ophthalmology using DICOM are under development. These are the first DICOM offerings for the vendors, who are planning to support the recently passed DICOM Visible Light and Structured Reporting service classes. Implementing these in VistA is a challenge because of the different workflow and software support for these disciplines within the VA hospital information system (HIS) environment.

Entities:  

Mesh:

Year:  2000        PMID: 10847382      PMCID: PMC3453236          DOI: 10.1007/bf03167644

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


  1 in total

1.  The Department of Veterans Affairs integration of imaging into the healthcare enterprise using the VistA Hospital Information System and Digital Imaging and Communications in Medicine.

Authors:  P M Kuzmak; R E Dayhoff
Journal:  J Digit Imaging       Date:  1998-05       Impact factor: 4.056

  1 in total
  8 in total

1.  Storage of Fractional Flow Reserve Hemodynamic Waveforms Using Semantic Extension of the DICOM Standard.

Authors:  Nikolaos Kakouros
Journal:  J Digit Imaging       Date:  2016-06       Impact factor: 4.056

2.  From PACS to Web-based ePR system with image distribution for enterprise-level filmless healthcare delivery.

Authors:  H K Huang
Journal:  Radiol Phys Technol       Date:  2011-06-16

3.  Improving Patient Safety: Avoiding Unread Imaging Exams in the National VA Enterprise Electronic Health Record.

Authors:  Sarah Bastawrous; Benjamin Carney
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

4.  Increasing rate of detection of wrong-patient radiographs: use of photographs obtained at time of radiography.

Authors:  Srini Tridandapani; Senthil Ramamurthy; Samuel J Galgano; James M Provenzale
Journal:  AJR Am J Roentgenol       Date:  2013-04       Impact factor: 3.959

Review 5.  Integrating patient digital photographs with medical imaging examinations.

Authors:  Senthil Ramamurthy; Pamela Bhatti; Chesnal D Arepalli; Mohamed Salama; James M Provenzale; Srini Tridandapani
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

Review 6.  Reviewing the integration of patient data: how systems are evolving in practice to meet patient needs.

Authors:  Ricardo J Cruz-Correia; Pedro M Vieira-Marques; Ana M Ferreira; Filipa C Almeida; Jeremy C Wyatt; Altamiro M Costa-Pereira
Journal:  BMC Med Inform Decis Mak       Date:  2007-06-12       Impact factor: 2.796

7.  Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017.

Authors:  David Clunie; Dan Hosseinzadeh; Mikael Wintell; David De Mena; Nieves Lajara; Marcial Garcia-Rojo; Gloria Bueno; Kiran Saligrama; Aaron Stearrett; David Toomey; Esther Abels; Frank Van Apeldoorn; Stephane Langevin; Sean Nichols; Joachim Schmid; Uwe Horchner; Bruce Beckwith; Anil Parwani; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2018-03-05

8.  Coronary Blood Flow Measurement in Conventional Coronary Angiograms by a New Method Based on Contrast Density Detection. A Physiological Insight.

Authors:  Miguel Lopez-Hidalgo; Antonio Eblen-Zajjur
Journal:  Arq Bras Cardiol       Date:  2020-09       Impact factor: 2.667

  8 in total

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