Abstract:
RATIONALE AND OBJECTIVES:To determine the impact of COVID-19 workflow changes on patient throughput at the outpatient imaging facilities of a large healthcare system in New York City. MATERIALS AND METHODS:COVID-19 workflow changes to permit social distancing and patient and staff safety included screening at the time of scheduling, encouraging patients to use our digital platform to complete registration/safety forms prior to appointments, stationing screeners at all entrances, limiting waiting room capacity, implementing a texting system to notify patients of delays, limiting dressing room use by encouraging patients to wear exam-appropriate clothing, and accelerating MRI protocols without reducing image quality. We assessed patients' pre-exam wait times, MR exam times, overall time spent on site, and registration for and use of the digital portal before (February 2020) and after (June 2020) implementation of these measures. RESULTS:Across 17 outpatient imaging centers, workflow changes resulted in a 23.1% reduction (-6.8 minutes) in all patients' pre-exam wait times (p <0.00001). Pre-exam wait times for MRI, CT, ultrasound, x-ray, and mammography decreased 28.4% (-10.3 minutes), 16.5% (-6.7 minutes), 25.3% (-7.7 minutes), 22.8% (-3.7 minutes), and 23.9% (-5.0 minutes), respectively (p < 0.00001 for all). MR exam times decreased 9.7% (-3.5 minutes) and patients' overall time on site decreased 15.2% (-8.0 minutes). The proportions of patients actively using the digital patient portal (56.1%-70.1%) and completing forms electronically prior to arrival (24.9%-47.1%) increased (p < 0.0001 for both). CONCLUSION:Workflow changes necessitated by the COVID-19 pandemic to ensure safety of patients and staff have permitted higher outpatient throughput.
journal_name
Acad Radioljournal_title
Academic radiologyauthors
Chang G,Doshi A,Chandarana H,Recht Mdoi
10.1016/j.acra.2020.12.016subject
Has Abstractpub_date
2021-01-04 00:00:00eissn
1076-6332issn
1878-4046pii
S1076-6332(20)30709-1pub_type
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journal_title:Academic radiology
pub_type: 杂志文章
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abstract:RATIONAL AND OBJECTIVES:Computer-aided detection (CAD) systems are intended to improve performance. This study investigates how CAD might actually interfere with a visual search task. This is a laboratory study with implications for clinical use of CAD. METHODS:Forty-seven naive observers in two studies were asked to ...
journal_title:Academic radiology
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journal_title:Academic radiology
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journal_title:Academic radiology
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journal_title:Academic radiology
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pub_type: 杂志文章
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更新日期:1996-03-01 00:00:00
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更新日期:2007-02-01 00:00:00
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更新日期:2020-10-28 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 临床试验,杂志文章,多中心研究,随机对照试验
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journal_title:Academic radiology
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journal_title:Academic radiology
pub_type: 杂志文章
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更新日期:2013-08-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章,评审
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更新日期:2005-09-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
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