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This summary is machine-generated.

This study presents a structured, data-driven method for selecting a Picture Archiving and Communication System (PACS). The six-phase process ensures comprehensive evaluation for optimal radiology workflow and operational efficiency.

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Area of Science:

  • Medical Informatics
  • Radiology Technology
  • Healthcare Management

Background:

  • Selecting a Picture Archiving and Communication System (PACS) is critical for radiology workflow and efficiency.
  • Limited structured guidance exists for PACS procurement, necessitating a robust evaluation framework.

Purpose of the Study:

  • To describe a comprehensive, data-driven, six-phase approach for evaluating and selecting a clinical PACS.
  • To provide a reproducible methodology for healthcare institutions undertaking technology procurement.

Main Methods:

  • Developed a six-phase process: team formation, expectation setting, background assessment, initial vendor assessment, virtual demonstrations, and final evaluation.
  • Utilized a multidisciplinary committee to define 11 pillars and 236 weighted concepts for PACS functionality.
  • Employed quantitative and qualitative data, surveys, standardized demonstrations, RFPs, and cost analyses for vendor scoring.

Main Results:

  • Shortlisted five vendors after initial assessment, followed by virtual demonstrations for five, and onsite assessments for three.
  • The incumbent vendor was ultimately selected, with recommendations for future reevaluation using defined metrics.
  • The methodology emphasized transparency, stakeholder engagement, and data-driven decision-making.

Conclusions:

  • The described data-driven, multi-phase approach offers a reproducible methodology for PACS selection.
  • This adaptable and scalable framework can guide technology procurement in healthcare institutions.
  • Successful PACS selection hinges on detailed assessment metrics and robust stakeholder feedback.