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Factors Affecting Radiologist's PACS Usage.

Daniel Forsberg1,2, Beverly Rosipko3, Jeffrey L Sunshine3

  • 1Sectra, Teknikringen 20, SE-583 30, Linköping, Sweden. daniel.forsberg@sectra.com.

Journal of Digital Imaging
|April 22, 2016
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Summary
This summary is machine-generated.

Radiologist and examination type significantly impact Picture Archiving and Communication System (PACS) usage, defined by command sequences. Other factors like time of week and week effect showed minimal influence on PACS utilization.

Keywords:
EfficiencyPACS managementWorkflow

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Area of Science:

  • Medical Informatics
  • Radiology Informatics
  • Human-Computer Interaction

Background:

  • Picture Archiving and Communication Systems (PACS) are integral to modern radiology workflows.
  • Understanding PACS usage patterns is crucial for optimizing system efficiency and user experience.
  • Previous research has explored factors influencing technology adoption, but specific PACS command sequence analysis remains an area for deeper investigation.

Purpose of the Study:

  • To investigate the influence of radiologist, examination category, time of week, and week effect on PACS usage.
  • To define PACS usage through the sequential order of computer commands during interpretation and dictation.
  • To identify key determinants of PACS utilization for system optimization.

Main Methods:

  • Analysis of PACS command logs over an 8-week period.
  • Extraction of PACS usage variables: number of commands, command classes, bigram repetitiveness, and time to read.
  • Application of generalized linear models to assess the significance of influencing factors.

Main Results:

  • Confirmed that both radiologist and examination category significantly affect PACS usage patterns.
  • Demonstrated that time of week and week effect generally have no significant impact on PACS usage.
  • PACS usage profiles revealed actionable insights for system configuration improvements.

Conclusions:

  • Radiologist and examination type are primary drivers of PACS usage variability.
  • System data analysis, including PACS usage profiles, offers valuable insights for optimizing PACS configuration and utilization.
  • Further research into system data can enhance the efficiency and effectiveness of PACS in clinical practice.