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A Comprehensive Guide to Selecting and (Potentially) Replacing PACS: Navigating the Decision-Making Processes
Rajeev Nowrangi1, Stacey M Elangovan2,3, Brian D Coley2,3
1Department of Radiology, Loma Linda University, Loma Linda, USA.
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.
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.
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