Literature DB >> 24696149

Electronic workflow for imaging in clinical research.

Rebecca A Hedges1, Danielle Goodman, Peter B Sachs.   

Abstract

In the transition from paper to electronic workflow, the University of Colorado Health System's implementation of a new electronic health record system (EHR) forced all clinical groups to reevaluate their practices including the infrastructure surrounding clinical trials. Radiological imaging is an important piece of many clinical trials and requires a high level of consistency and standardization. With EHR implementation, paper orders were manually transcribed into the EHR, digitizing an inefficient work flow. A team of schedulers, radiologists, technologists, research personnel, and EHR analysts worked together to optimize the EHR to accommodate the needs of research imaging protocols. The transition to electronic workflow posed several problems: (1) there needed to be effective communication throughout the imaging process from scheduling to radiologist interpretation. (2) The exam ordering process needed to be automated to allow scheduling of specific research studies on specific equipment. (3) The billing process needed to be controlled to accommodate radiologists already supported by grants. (4) There needed to be functionality allowing exams to finalize automatically skipping the PACS and interpretation process. (5) There needed to be a way to alert radiologists that a specialized research interpretation was needed on a given exam. These issues were resolved through the optimization of the "visit type," allowing a high-level control of an exam at the time of scheduling. Additionally, we added columns and fields to work queues displaying grant identification numbers. The build solutions we implemented reduced the mistakes made and increased imaging quality and compliance.

Mesh:

Year:  2014        PMID: 24696149      PMCID: PMC4090410          DOI: 10.1007/s10278-014-9684-1

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


  4 in total

Review 1.  Whitepapers on imaging infrastructure for research: Part 1: General workflow considerations.

Authors:  Bradley J Erickson; Tony Pan; Daniel S Marcus
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

Review 2.  Whitepapers on imaging infrastructure for research part three: security and privacy.

Authors:  Tony Pan; Bradley J Erickson; Daniel S Marcus
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

Review 3.  Imaging infrastructure for research. Part 2. Data management practices.

Authors:  Daniel S Marcus; Bradley J Erickson; Tony Pan
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

4.  Imaging study protocol selection in the electronic medical record.

Authors:  Peter B Sachs; Geralyn Gassert; Michael Cain; David Rubinstein; Melody Davey; Danielle Decoteau
Journal:  J Am Coll Radiol       Date:  2013-03       Impact factor: 5.532

  4 in total
  1 in total

1.  Centralized Clinical Trial Imaging Data Management: Practical Guidance from a Comprehensive Cancer Center's Experience.

Authors:  Brandon Lee; A Abbott; S Davidson; L Syrkin; G LeFever; A D Van den Abbeele
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

  1 in total

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