Impact of digital imaging and communications in medicine workflow on the integration of patient demographics and ophthalmic test data

Ravi R. Pandit, Michael V. Boland

Research output: Contribution to journalArticle

Abstract

Purpose To determine the impact of a Digital Imaging and Communications in Medicine (DICOM) workflow on the linkage of demographic information to ophthalmic testing data. Design Evaluation of technology. Participants Six hundred ninety-nine visual field testing encounters performed by 6 ophthalmic technicians and the transfer error queue of 37 442 ophthalmic test results. Methods At 3 months before and 6 and 18 months after implementation of a DICOM workflow, technicians recorded the work required to enter, confirm, or edit patient demographics in each visual field device. We also determined the proportion of imaging tests sent to an error queue for manual reconciliation because of incorrect demographic information before and 3, 6, and 18 months after the DICOM workflow was established. Main Outcome Measures The proportion of testing encounters for which staff had to enter, edit, or merge patient demographics and the proportion of misfiled images. Results Staff entered, edited, or merged data for 48% of patients before implementation (n = 237). This decreased to 24% within 6 months and 20% within 18 months of implementing the DICOM archive (n = 230 and n = 232, respectively). Staff could locate a patient in a DICOM work list for 97% of encounters at 3 months and 99% at 18 months. Before implementation, 9.2% of the images required additional intervention to be associated with the correct patient (n = 3581). This decreased by 85% over 6 months to 1.4% (n = 9979; P < 0.01). There was an increase in the percentage of misfiled images between 6 and 18 months from 1.4% to 2.2% (n = 24â549; P < 0.01), representing an overall 76% decrease over 18 months relative to the pre-DICOM period. Conclusions Implementation of a DICOM-compatible workflow in an ophthalmology clinic reduced the need to enter or edit patient demographic information into imaging or testing devices by more than 50% and reduced the need to manage misfiled images by 76%. In a clinical environment that demands both efficiency and patient safety, the DICOM workflow is an important update to current practice.

Original languageEnglish (US)
Pages (from-to)227-232
Number of pages6
JournalOphthalmology
Volume122
Issue number2
DOIs
StatePublished - Feb 1 2015

ASJC Scopus subject areas

  • Ophthalmology

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