Improved Efficiency in Clinical Workflow of Reporting Measured Oncology Lesions Via PACS-Integrated Lesion Tracking Tool
OBJECTIVE. Imaging provides evidence for the response to oncology treatment by the serial measurement of reference lesions. Unfortunately, the identification, comparison, measurement, and documentation of several reference lesions can be an inefficient process. We tested the hypothesis that optimize...
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Published in | American journal of roentgenology (1976) Vol. 204; no. 3; pp. 576 - 583 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.03.2015
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Abstract | OBJECTIVE. Imaging provides evidence for the response to oncology treatment by the serial measurement of reference lesions. Unfortunately, the identification, comparison, measurement, and documentation of several reference lesions can be an inefficient process. We tested the hypothesis that optimized workflow orchestration and tight integration of a lesion tracking tool into the PACS and speech recognition system can result in improvements in oncologic lesion measurement efficiency. SUBJECTS AND METHODS. A lesion management tool tightly integrated into the PACS workflow was developed. We evaluated the effect of the use of the tool on measurement reporting time by means of a prospective time-motion study on 86 body CT examinations with 241 measureable oncologic lesions with four radiologists. RESULTS. Aggregated measurement reporting time per lesion was 11.64 seconds in standard workflow, 16.67 seconds if readers had to register measurements de novo, and 6.36 seconds for each subsequent follow-up study. Differences were statistically significant (p < 0.05) for each reader, except for one difference for one reader. CONCLUSION. Measurement reporting time can be reduced by using a PACS workflow-integrated lesion management tool, especially for patients with multiple follow-up examinations, reversing the onetime efficiency penalty at baseline registration. |
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AbstractList | OBJECTIVE. Imaging provides evidence for the response to oncology treatment by the serial measurement of reference lesions. Unfortunately, the identification, comparison, measurement, and documentation of several reference lesions can be an inefficient process. We tested the hypothesis that optimized workflow orchestration and tight integration of a lesion tracking tool into the PACS and speech recognition system can result in improvements in oncologic lesion measurement efficiency. SUBJECTS AND METHODS. A lesion management tool tightly integrated into the PACS workflow was developed. We evaluated the effect of the use of the tool on measurement reporting time by means of a prospective time-motion study on 86 body CT examinations with 241 measureable oncologic lesions with four radiologists. RESULTS. Aggregated measurement reporting time per lesion was 11.64 seconds in standard workflow, 16.67 seconds if readers had to register measurements de novo, and 6.36 seconds for each subsequent follow-up study. Differences were statistically significant (p < 0.05) for each reader, except for one difference for one reader. CONCLUSION. Measurement reporting time can be reduced by using a PACS workflow-integrated lesion management tool, especially for patients with multiple follow-up examinations, reversing the onetime efficiency penalty at baseline registration. OBJECTIVE. Imaging provides evidence for the response to oncology treatment by the serial measurement of reference lesions. Unfortunately, the identification, comparison, measurement, and documentation of several reference lesions can be an inefficient process. We tested the hypothesis that optimized workflow orchestration and tight integration of a lesion tracking tool into the PACS and speech recognition system can result in improvements in oncologic lesion measurement efficiency. SUBJECTS AND METHODS. A lesion management tool tightly integrated into the PACS workflow was developed. We evaluated the effect of the use of the tool on measurement reporting time by means of a prospective time-motion study on 86 body CT examinations with 241 measureable oncologic lesions with four radiologists. RESULTS. Aggregated measurement reporting time per lesion was 11.64 seconds in standard workflow, 16.67 seconds if readers had to register measurements de novo, and 6.36 seconds for each subsequent follow-up study. Differences were statistically significant (p < 0.05) for each reader, except for one difference for one reader. CONCLUSION. Measurement reporting time can be reduced by using a PACS workflow-integrated lesion management tool, especially for patients with multiple follow-up examinations, reversing the onetime efficiency penalty at baseline registration.OBJECTIVE. Imaging provides evidence for the response to oncology treatment by the serial measurement of reference lesions. Unfortunately, the identification, comparison, measurement, and documentation of several reference lesions can be an inefficient process. We tested the hypothesis that optimized workflow orchestration and tight integration of a lesion tracking tool into the PACS and speech recognition system can result in improvements in oncologic lesion measurement efficiency. SUBJECTS AND METHODS. A lesion management tool tightly integrated into the PACS workflow was developed. We evaluated the effect of the use of the tool on measurement reporting time by means of a prospective time-motion study on 86 body CT examinations with 241 measureable oncologic lesions with four radiologists. RESULTS. Aggregated measurement reporting time per lesion was 11.64 seconds in standard workflow, 16.67 seconds if readers had to register measurements de novo, and 6.36 seconds for each subsequent follow-up study. Differences were statistically significant (p < 0.05) for each reader, except for one difference for one reader. CONCLUSION. Measurement reporting time can be reduced by using a PACS workflow-integrated lesion management tool, especially for patients with multiple follow-up examinations, reversing the onetime efficiency penalty at baseline registration. |
Author | Ganesh, Rajiv K. Sevenster, Merlijn Peters, Joost Kose, Ursula Chang, Paul J. Liu, Peng Travis, Adam R. |
Author_xml | – sequence: 1 givenname: Merlijn surname: Sevenster fullname: Sevenster, Merlijn organization: Department of Clinical Informatics Solutions and Services, Philips Research North America, 345 Scarborough Rd, Briarcliff, NY 10510 – sequence: 2 givenname: Adam R. surname: Travis fullname: Travis, Adam R. organization: Boston Consulting Group, Chicago, IL – sequence: 3 givenname: Rajiv K. surname: Ganesh fullname: Ganesh, Rajiv K. organization: Department of Radiology, Loyola University, Maywood, IL – sequence: 4 givenname: Peng surname: Liu fullname: Liu, Peng organization: Department of Radiology, University of Chicago Medicine, Chicago, IL – sequence: 5 givenname: Ursula surname: Kose fullname: Kose, Ursula organization: Department of Clinical Informatics Benelux, Philips Healthcare, Eindhoven, The Netherlands – sequence: 6 givenname: Joost surname: Peters fullname: Peters, Joost organization: Healthcare Information Technology, Philips Healthcare, Best, The Netherlands – sequence: 7 givenname: Paul J. surname: Chang fullname: Chang, Paul J. organization: Department of Radiology, University of Chicago Medicine, Chicago, IL., Division of Biological Sciences, University of Chicago, Chicago, IL |
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Title | Improved Efficiency in Clinical Workflow of Reporting Measured Oncology Lesions Via PACS-Integrated Lesion Tracking Tool |
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