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Related Concept Videos

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Related Experiment Video

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E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
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Using PACS audit data for process improvement.

William Bill Gregg1, Mark Randolph, Denise H Brown

  • 1Department of Radiology, LSUHSC-S, 1501 Kings Highway, Rm 1-349, Shreveport, LA 71103-3932, USA. bgregg@lsuhsc.edu

Journal of Digital Imaging
|February 10, 2010
PubMed
Summary

Utilizing Picture Archiving and Communication System (PACS) audit data improved radiology workflow. This process enhancement significantly reduced report verification times, leading to better patient care.

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06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Area of Science:

  • Radiology Informatics
  • Healthcare Process Improvement
  • Medical Data Analytics

Background:

  • Picture Archiving and Communication System (PACS) audit data are underutilized for process improvement in radiology.
  • Delays in report verification contribute to clinical access issues for radiology reports.
  • A process improvement goal was established to decrease report verification wait times.

Purpose of the Study:

  • To leverage PACS audit data for analyzing and improving radiology workflow efficiency.
  • To identify specific bottlenecks in the examination verification process.
  • To reduce the time from examination arrival to radiologist verification.

Main Methods:

  • Mining PACS audit data using an in-house application to extract workflow time spans.
  • Measuring the specific time interval from examination arrival to verification.
  • Using identified examinations and users as a basis for process improvement education.

Main Results:

  • A significant reduction in the number of examinations exceeding a 1-hour verification time.
  • Demonstrated improvement in the speed of radiology report production.
  • Enhanced overall patient care through more timely report availability.

Conclusions:

  • PACS audit data are a valuable, yet often overlooked, resource for radiology process improvement.
  • Targeted analysis of PACS audit data can effectively reduce report turnaround times.
  • Optimizing the verification step in radiology workflow directly benefits patient care.