Electronic Worklist Improves Timeliness of Screening Mammogram Interpretation in an Urban Underserved Population
Copyright © 2021 Elsevier Inc. All rights reserved..
OBJECTIVES: To evaluate the impact of an electronic workflow update on screening mammography turnaround time and time to diagnostic imaging for mammography performed on our urban mobile mammography van and at an urban community health center.
METHOD: Prior to 10/15/2019, screening exams for the mammography van and urban community health center were made available for interpretation to a single designated radiologist via a manually generated paper list. On 10/15/2019, screening exams were routed electronically onto PACS for any breast radiologist across our Network to interpret. Screening mammogram turnaround time (defined as time form image acquisition to report finalization), time to diagnostic imaging, and time to tissue sampling were collected for pre- and post-implementation periods (6/1-9/30/2019 and 11/1/2019-2/29/2020, respectively) and compared via student t-test and statistical process control analyses.
RESULTS: The number of screening exams in the pre- and post-implementation periods were 851 and 728 exams, respectively. Patients were predominately Black and/or African American (400/1579, 25%), non-English speaking (858/1579, 54%) and insured by Medicaid (751/1579, 48%). After implementation of the electronic workflow, turnaround time decreased from 101.0 to 36.4 hours (63.9%, P <0.001) and statistical process control analyses showed sustained decrease in mean turnaround time. However, mean time to diagnostic imaging and tissue sampling were unchanged after implementation (39 vs 45, days; P = 0.330 and 43 vs 59; P = 0.187, respectively).
CONCLUSION: Electronic workflow management can reduce screening mammography turnaround time for underserved populations, but additional efforts are warranted to improve time to imaging follow-up for abnormal screening mammograms.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:51 |
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| Enthalten in: |
Current problems in diagnostic radiology - 51(2022), 3 vom: 09. Mai, Seite 323-327 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Amornsiripanitch, Nita [VerfasserIn] |
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| Links: |
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| Themen: |
Breast Cancer |
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| Anmerkungen: |
Date Completed 15.03.2022 Date Revised 15.03.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1067/j.cpradiol.2021.06.001 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM328121738 |
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| 500 | |a Date Revised 15.03.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2021 Elsevier Inc. All rights reserved. | ||
| 520 | |a OBJECTIVES: To evaluate the impact of an electronic workflow update on screening mammography turnaround time and time to diagnostic imaging for mammography performed on our urban mobile mammography van and at an urban community health center | ||
| 520 | |a METHOD: Prior to 10/15/2019, screening exams for the mammography van and urban community health center were made available for interpretation to a single designated radiologist via a manually generated paper list. On 10/15/2019, screening exams were routed electronically onto PACS for any breast radiologist across our Network to interpret. Screening mammogram turnaround time (defined as time form image acquisition to report finalization), time to diagnostic imaging, and time to tissue sampling were collected for pre- and post-implementation periods (6/1-9/30/2019 and 11/1/2019-2/29/2020, respectively) and compared via student t-test and statistical process control analyses | ||
| 520 | |a RESULTS: The number of screening exams in the pre- and post-implementation periods were 851 and 728 exams, respectively. Patients were predominately Black and/or African American (400/1579, 25%), non-English speaking (858/1579, 54%) and insured by Medicaid (751/1579, 48%). After implementation of the electronic workflow, turnaround time decreased from 101.0 to 36.4 hours (63.9%, P <0.001) and statistical process control analyses showed sustained decrease in mean turnaround time. However, mean time to diagnostic imaging and tissue sampling were unchanged after implementation (39 vs 45, days; P = 0.330 and 43 vs 59; P = 0.187, respectively) | ||
| 520 | |a CONCLUSION: Electronic workflow management can reduce screening mammography turnaround time for underserved populations, but additional efforts are warranted to improve time to imaging follow-up for abnormal screening mammograms | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Breast Cancer | |
| 650 | 4 | |a Health Equity | |
| 650 | 4 | |a Mobile Mammography | |
| 650 | 4 | |a Screening Mammography | |
| 700 | 1 | |a Chikarmane, Sona A |e verfasserin |4 aut | |
| 700 | 1 | |a Cochon, Laila R |e verfasserin |4 aut | |
| 700 | 1 | |a Khorasani, Ramin |e verfasserin |4 aut | |
| 700 | 1 | |a Giess, Catherine S |e verfasserin |4 aut | |
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