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Understanding Scanner Utilization With Real-Time DICOM Metadata Extraction.

Pradeeban Kathiravelu1, Ashish Sharma1, Puneet Sharma2

  • 1Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.

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|August 15, 2022
PubMed
Summary
This summary is machine-generated.

Accurate radiology scanner utilization metrics are crucial for resource management. This study introduces a real-time framework using DICOM metadata from PACS, outperforming traditional RIS data for precise performance analysis.

Keywords:
Biomedical imagingdigital imaging and communications in medicine (DICOM)metadata extractionpicture archiving and communication system (PACS)scanner utilization

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Area of Science:

  • Medical Imaging Informatics
  • Healthcare Systems Engineering
  • Radiology Operations Management

Background:

  • Radiology resource utilization is key for efficient healthcare delivery.
  • Current methods using Radiology Information Systems (RIS) data are inaccurate due to human errors.
  • Extracting metadata from Digital Imaging and Communications in Medicine (DICOM) images is challenging for hospital networks.

Purpose of the Study:

  • To develop a real-time framework for accurate radiology scanner utilization metrics.
  • To establish efficient metadata extraction from DICOM images for performance analysis.
  • To improve the accuracy of key performance indicators in radiology departments.

Main Methods:

  • Implemented a real-time image transfer from Picture Archiving and Communication Systems (PACS) to a research cluster.
  • Developed a framework to extract and process metadata from DICOM images.
  • Analyzed scanner utilization by examining study duration, inter-study intervals, and series counts.

Main Results:

  • The proposed framework provides more accurate scanner utilization metrics compared to RIS data.
  • The system accurately measures key parameters like study duration and scanner uptime.
  • The framework has demonstrated stable, long-term performance in a large healthcare network.

Conclusions:

  • Real-time DICOM metadata processing from PACS offers a superior method for evaluating radiology scanner utilization.
  • This approach enhances the reliability of performance metrics, enabling targeted interventions.
  • The developed framework supports efficient and accurate operational insights for vast healthcare networks.