Loading…
What is the appropriate measure of radiology workload: Study or image numbers?
Introduction Previous studies assessing the volume of radiological studies rarely considered the corresponding number of images. We aimed to quantify the increases in study and image numbers per radiologist in a tertiary healthcare network to better understand the demands on imaging services. Method...
Saved in:
Published in: | Journal of medical imaging and radiation oncology 2024-08, Vol.68 (5), p.530-539 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c2963-bc1ed80b8f3facf1953dffc36543776af82abe0b6df6218d8d9f3e2f920561db3 |
container_end_page | 539 |
container_issue | 5 |
container_start_page | 530 |
container_title | Journal of medical imaging and radiation oncology |
container_volume | 68 |
creator | Troupis, Christopher John Knight, Richard Alexander Hyde Lau, Kenneth Kwok‐Pan |
description | Introduction
Previous studies assessing the volume of radiological studies rarely considered the corresponding number of images. We aimed to quantify the increases in study and image numbers per radiologist in a tertiary healthcare network to better understand the demands on imaging services.
Methods
Using the Picture Archiving and Communication System (PACS), the number of images per study was obtained for all diagnostic studies reported by in‐house radiologists at a tertiary healthcare network in Melbourne, Australia, between January 2009 and December 2022. Payroll data was used to obtain the numbers of full‐time equivalent radiologists.
Results
Across all modalities, there were 4,462,702 diagnostic studies and 1,116,311,209 images. The number of monthly studies increased from 17,235 to 35,152 (104%) over the study period. The number of monthly images increased from 1,120,832 to 13,353,056 (1091%), with computed tomography (CT) showing the greatest absolute increase of 9,395,653 images per month (1476%). There was no increase in the monthly studies per full‐time equivalent radiologist; however, the number of monthly image slices per radiologist increased 399%, from 48,781 to 243,518 (Kendall Tau correlation coefficient 0.830, P‐value |
doi_str_mv | 10.1111/1754-9485.13713 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3065275913</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3130604686</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2963-bc1ed80b8f3facf1953dffc36543776af82abe0b6df6218d8d9f3e2f920561db3</originalsourceid><addsrcrecordid>eNqFkM9LwzAUx4Mobk7P3iTgxUu3pGnS1IuM4S8YCv7AY0ibZOtsl5m0jP73Zm7u4MV3eY_H5315fAA4x2iIQ41wSpMoSzgdYpJicgD6-83hfk7THjjxfoEQwzjJjkGPcE5SSmkfPH3MZQNLD5u5hnK1cnblStloWGvpW6ehNdBJVdrKzjq4tu6zslJdw9emVR20Dpa1nGm4bOtcO39zCo6MrLw-2_UBeL-7fZs8RNPn-8fJeBoVccZIlBdYK45yboiRhcEZJcqYgjCakDRl0vBY5hrlTBkWY664ygzRscliRBlWORmAq21uePir1b4RdekLXVVyqW3rBUGMxinNMAno5R90YVu3DN8JggOHEsZZoEZbqnDWe6eNCB5q6TqBkdioFhuZYiNW_KgOFxe73Davtdrzv24DQLfAuqx091-eGL-Mt8HfY-2H_g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3130604686</pqid></control><display><type>article</type><title>What is the appropriate measure of radiology workload: Study or image numbers?</title><source>Wiley:Jisc Collections:Wiley Read and Publish Open Access 2024-2025 (reading list)</source><creator>Troupis, Christopher John ; Knight, Richard Alexander Hyde ; Lau, Kenneth Kwok‐Pan</creator><creatorcontrib>Troupis, Christopher John ; Knight, Richard Alexander Hyde ; Lau, Kenneth Kwok‐Pan</creatorcontrib><description>Introduction
Previous studies assessing the volume of radiological studies rarely considered the corresponding number of images. We aimed to quantify the increases in study and image numbers per radiologist in a tertiary healthcare network to better understand the demands on imaging services.
Methods
Using the Picture Archiving and Communication System (PACS), the number of images per study was obtained for all diagnostic studies reported by in‐house radiologists at a tertiary healthcare network in Melbourne, Australia, between January 2009 and December 2022. Payroll data was used to obtain the numbers of full‐time equivalent radiologists.
Results
Across all modalities, there were 4,462,702 diagnostic studies and 1,116,311,209 images. The number of monthly studies increased from 17,235 to 35,152 (104%) over the study period. The number of monthly images increased from 1,120,832 to 13,353,056 (1091%), with computed tomography (CT) showing the greatest absolute increase of 9,395,653 images per month (1476%). There was no increase in the monthly studies per full‐time equivalent radiologist; however, the number of monthly image slices per radiologist increased 399%, from 48,781 to 243,518 (Kendall Tau correlation coefficient 0.830, P‐value < 0.0001).
Conclusion
The number of monthly images per radiologist increased substantially from 2009 to 2022, despite a relatively constant number of monthly studies per radiologist. Our study suggests that using the number of studies as an isolated fundamental data set underestimates the true radiologist's workload. We propose that the increased volume of images examined by individual radiologists may more appropriately reflect true work demand and may add more weight to future workforce planning.</description><identifier>ISSN: 1754-9477</identifier><identifier>ISSN: 1754-9485</identifier><identifier>EISSN: 1754-9485</identifier><identifier>DOI: 10.1111/1754-9485.13713</identifier><identifier>PMID: 38837555</identifier><language>eng</language><publisher>Australia: Wiley Subscription Services, Inc</publisher><subject>Australia ; burnout ; Communications systems ; Computed tomography ; Correlation coefficients ; Diagnostic Imaging ; Diagnostic systems ; Equivalence ; Health care ; Humans ; Medical imaging ; picture archiving and communication system ; productivity ; radiology ; Radiology Department, Hospital ; Radiology Information Systems ; Victoria ; Workload ; Workloads</subject><ispartof>Journal of medical imaging and radiation oncology, 2024-08, Vol.68 (5), p.530-539</ispartof><rights>2024 The Author(s). published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Radiologists.</rights><rights>2024 The Author(s). Journal of Medical Imaging and Radiation Oncology published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Radiologists.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2963-bc1ed80b8f3facf1953dffc36543776af82abe0b6df6218d8d9f3e2f920561db3</cites><orcidid>0000-0003-0943-2320</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38837555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Troupis, Christopher John</creatorcontrib><creatorcontrib>Knight, Richard Alexander Hyde</creatorcontrib><creatorcontrib>Lau, Kenneth Kwok‐Pan</creatorcontrib><title>What is the appropriate measure of radiology workload: Study or image numbers?</title><title>Journal of medical imaging and radiation oncology</title><addtitle>J Med Imaging Radiat Oncol</addtitle><description>Introduction
Previous studies assessing the volume of radiological studies rarely considered the corresponding number of images. We aimed to quantify the increases in study and image numbers per radiologist in a tertiary healthcare network to better understand the demands on imaging services.
Methods
Using the Picture Archiving and Communication System (PACS), the number of images per study was obtained for all diagnostic studies reported by in‐house radiologists at a tertiary healthcare network in Melbourne, Australia, between January 2009 and December 2022. Payroll data was used to obtain the numbers of full‐time equivalent radiologists.
Results
Across all modalities, there were 4,462,702 diagnostic studies and 1,116,311,209 images. The number of monthly studies increased from 17,235 to 35,152 (104%) over the study period. The number of monthly images increased from 1,120,832 to 13,353,056 (1091%), with computed tomography (CT) showing the greatest absolute increase of 9,395,653 images per month (1476%). There was no increase in the monthly studies per full‐time equivalent radiologist; however, the number of monthly image slices per radiologist increased 399%, from 48,781 to 243,518 (Kendall Tau correlation coefficient 0.830, P‐value < 0.0001).
Conclusion
The number of monthly images per radiologist increased substantially from 2009 to 2022, despite a relatively constant number of monthly studies per radiologist. Our study suggests that using the number of studies as an isolated fundamental data set underestimates the true radiologist's workload. We propose that the increased volume of images examined by individual radiologists may more appropriately reflect true work demand and may add more weight to future workforce planning.</description><subject>Australia</subject><subject>burnout</subject><subject>Communications systems</subject><subject>Computed tomography</subject><subject>Correlation coefficients</subject><subject>Diagnostic Imaging</subject><subject>Diagnostic systems</subject><subject>Equivalence</subject><subject>Health care</subject><subject>Humans</subject><subject>Medical imaging</subject><subject>picture archiving and communication system</subject><subject>productivity</subject><subject>radiology</subject><subject>Radiology Department, Hospital</subject><subject>Radiology Information Systems</subject><subject>Victoria</subject><subject>Workload</subject><subject>Workloads</subject><issn>1754-9477</issn><issn>1754-9485</issn><issn>1754-9485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNqFkM9LwzAUx4Mobk7P3iTgxUu3pGnS1IuM4S8YCv7AY0ibZOtsl5m0jP73Zm7u4MV3eY_H5315fAA4x2iIQ41wSpMoSzgdYpJicgD6-83hfk7THjjxfoEQwzjJjkGPcE5SSmkfPH3MZQNLD5u5hnK1cnblStloWGvpW6ehNdBJVdrKzjq4tu6zslJdw9emVR20Dpa1nGm4bOtcO39zCo6MrLw-2_UBeL-7fZs8RNPn-8fJeBoVccZIlBdYK45yboiRhcEZJcqYgjCakDRl0vBY5hrlTBkWY664ygzRscliRBlWORmAq21uePir1b4RdekLXVVyqW3rBUGMxinNMAno5R90YVu3DN8JggOHEsZZoEZbqnDWe6eNCB5q6TqBkdioFhuZYiNW_KgOFxe73Davtdrzv24DQLfAuqx091-eGL-Mt8HfY-2H_g</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Troupis, Christopher John</creator><creator>Knight, Richard Alexander Hyde</creator><creator>Lau, Kenneth Kwok‐Pan</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0943-2320</orcidid></search><sort><creationdate>202408</creationdate><title>What is the appropriate measure of radiology workload: Study or image numbers?</title><author>Troupis, Christopher John ; Knight, Richard Alexander Hyde ; Lau, Kenneth Kwok‐Pan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2963-bc1ed80b8f3facf1953dffc36543776af82abe0b6df6218d8d9f3e2f920561db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Australia</topic><topic>burnout</topic><topic>Communications systems</topic><topic>Computed tomography</topic><topic>Correlation coefficients</topic><topic>Diagnostic Imaging</topic><topic>Diagnostic systems</topic><topic>Equivalence</topic><topic>Health care</topic><topic>Humans</topic><topic>Medical imaging</topic><topic>picture archiving and communication system</topic><topic>productivity</topic><topic>radiology</topic><topic>Radiology Department, Hospital</topic><topic>Radiology Information Systems</topic><topic>Victoria</topic><topic>Workload</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Troupis, Christopher John</creatorcontrib><creatorcontrib>Knight, Richard Alexander Hyde</creatorcontrib><creatorcontrib>Lau, Kenneth Kwok‐Pan</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical imaging and radiation oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Troupis, Christopher John</au><au>Knight, Richard Alexander Hyde</au><au>Lau, Kenneth Kwok‐Pan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What is the appropriate measure of radiology workload: Study or image numbers?</atitle><jtitle>Journal of medical imaging and radiation oncology</jtitle><addtitle>J Med Imaging Radiat Oncol</addtitle><date>2024-08</date><risdate>2024</risdate><volume>68</volume><issue>5</issue><spage>530</spage><epage>539</epage><pages>530-539</pages><issn>1754-9477</issn><issn>1754-9485</issn><eissn>1754-9485</eissn><abstract>Introduction
Previous studies assessing the volume of radiological studies rarely considered the corresponding number of images. We aimed to quantify the increases in study and image numbers per radiologist in a tertiary healthcare network to better understand the demands on imaging services.
Methods
Using the Picture Archiving and Communication System (PACS), the number of images per study was obtained for all diagnostic studies reported by in‐house radiologists at a tertiary healthcare network in Melbourne, Australia, between January 2009 and December 2022. Payroll data was used to obtain the numbers of full‐time equivalent radiologists.
Results
Across all modalities, there were 4,462,702 diagnostic studies and 1,116,311,209 images. The number of monthly studies increased from 17,235 to 35,152 (104%) over the study period. The number of monthly images increased from 1,120,832 to 13,353,056 (1091%), with computed tomography (CT) showing the greatest absolute increase of 9,395,653 images per month (1476%). There was no increase in the monthly studies per full‐time equivalent radiologist; however, the number of monthly image slices per radiologist increased 399%, from 48,781 to 243,518 (Kendall Tau correlation coefficient 0.830, P‐value < 0.0001).
Conclusion
The number of monthly images per radiologist increased substantially from 2009 to 2022, despite a relatively constant number of monthly studies per radiologist. Our study suggests that using the number of studies as an isolated fundamental data set underestimates the true radiologist's workload. We propose that the increased volume of images examined by individual radiologists may more appropriately reflect true work demand and may add more weight to future workforce planning.</abstract><cop>Australia</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38837555</pmid><doi>10.1111/1754-9485.13713</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0943-2320</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1754-9477 |
ispartof | Journal of medical imaging and radiation oncology, 2024-08, Vol.68 (5), p.530-539 |
issn | 1754-9477 1754-9485 1754-9485 |
language | eng |
recordid | cdi_proquest_miscellaneous_3065275913 |
source | Wiley:Jisc Collections:Wiley Read and Publish Open Access 2024-2025 (reading list) |
subjects | Australia burnout Communications systems Computed tomography Correlation coefficients Diagnostic Imaging Diagnostic systems Equivalence Health care Humans Medical imaging picture archiving and communication system productivity radiology Radiology Department, Hospital Radiology Information Systems Victoria Workload Workloads |
title | What is the appropriate measure of radiology workload: Study or image numbers? |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T08%3A22%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=What%20is%20the%20appropriate%20measure%20of%20radiology%20workload:%20Study%20or%20image%20numbers?&rft.jtitle=Journal%20of%20medical%20imaging%20and%20radiation%20oncology&rft.au=Troupis,%20Christopher%20John&rft.date=2024-08&rft.volume=68&rft.issue=5&rft.spage=530&rft.epage=539&rft.pages=530-539&rft.issn=1754-9477&rft.eissn=1754-9485&rft_id=info:doi/10.1111/1754-9485.13713&rft_dat=%3Cproquest_cross%3E3130604686%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2963-bc1ed80b8f3facf1953dffc36543776af82abe0b6df6218d8d9f3e2f920561db3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3130604686&rft_id=info:pmid/38837555&rfr_iscdi=true |