Impact of the Genius Digital Diagnostics System on workflow and accuracy compared with the ThinPrep Imaging System for review of ThinPrep Papanicolaou tests.
Kathleen M Murphy, Kristina Weatherhead, Carrie Chenault, Chinh Nguyen, Kari Sefcik, Sarah Harrington, Kasey Johnson, Yan Lemeshev
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引用次数: 0
Abstract
Objective: In this study, we compared the workflow of the Genius Digital Diagnostics System (Hologic, Inc) with our current workflow based on the ThinPrep Imaging System (Hologic, Inc) to assess potential efficiencies associated with digitalization of Papanicolaou screening.
Methods: Each step of the current workflow (glass slide movement and slide review) and the experimental workflow were documented. Substantial workflow efficiencies were associated with the reduction of glass slide movement observed with the experimental workflow of the Genius system compared with the ThinPrep system.
Results: The ThinPrep-based workflow required more than 5 hours of hands-on time at specific synchronized times throughout the day, whereas the hands-on time of the experimental Genius Digital Diagnostics System was just over an hour and allowed glass movement at flexible times. In addition to these workflow efficiencies, the Genius Digital Diagnostics System resulted in much shorter review times (70.1 seconds) than the ThinPrep Imaging system (138.0 seconds) while maintaining similar agreement to the sign-out diagnosis.
Conclusions: This study demonstrated that implementing a Genius Dx-based workflow may result in substantial efficiency gains, which can mitigate workforce shortages and improve turnaround time without compromising screening accuracy.
期刊介绍：
The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.
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