{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T01:23:42Z","timestamp":1793064222984,"version":"4.5.0"},"reference-count":32,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82471967"],"award-info":[{"award-number":["82471967"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.acra.2026.03.017","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T12:03:59Z","timestamp":1774958639000},"page":"2799-2808","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Impact of a Digital Intelligence Platform on Radiology Workflow Efficiency and Patient Satisfaction: A Retrospective Cohort Study"],"prefix":"10.1016","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4943-5944","authenticated-orcid":false,"given":"Jian","family":"Feng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueqin","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jicheng","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longbiao","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuxia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7345-1896","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib1","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jacr.2024.10.017","article-title":"Projected US imaging utilization, 2025 to 2055","volume":"22","author":"Christensen","year":"2025","journal-title":"J Am Coll Radiol"},{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib2","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jacr.2024.10.019","article-title":"Projected US radiologist supply, 2025 to 2055","volume":"22","author":"Christensen","year":"2025","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib3","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s13244-016-0534-1","article-title":"Error and discrepancy in radiology: inevitable or avoidable?","volume":"8","author":"Brady","year":"2017","journal-title":"Insights Imaging"},{"key":"10.1016\/j.acra.2026.03.017_bib4","unstructured":"National Health Commission of the People\u2019s Republic of China. Circular on the Action Plan for Further Improving Medical Services (2018\u20132020). January 4, 2018. Accessed February 4, 2026. \u3008https:\/\/www.nhc.gov.cn\/yzygj\/c100068\/201801\/0aa6971b338e4a71a9be96a719567580.shtml\u3009."},{"issue":"6","key":"10.1016\/j.acra.2026.03.017_bib5","doi-asserted-by":"crossref","first-page":"3576","DOI":"10.1007\/s00330-020-06672-5","article-title":"Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations","volume":"30","author":"Recht","year":"2020","journal-title":"Eur Radiol"},{"issue":"7","key":"10.1016\/j.acra.2026.03.017_bib6","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0288546","article-title":"Simulation and evaluation of increased imaging service capacity at the MRI department using reduced coil-setting times","volume":"18","author":"Sun","year":"2023","journal-title":"PLOS One"},{"issue":"11","key":"10.1016\/j.acra.2026.03.017_bib7","doi-asserted-by":"crossref","first-page":"3909","DOI":"10.1007\/s00261-022-03599-x","article-title":"Factors affecting MRI scanner efficiency in an academic center","volume":"47","author":"Smereka","year":"2022","journal-title":"Abdom Radiol ((NY))"},{"issue":"9","key":"10.1016\/j.acra.2026.03.017_bib8","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1016\/j.jacr.2017.08.021","article-title":"Machine learning for predicting patient wait times and appointment delays","volume":"15","author":"Curtis","year":"2018","journal-title":"J Am Coll Radiol"},{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib9","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1111\/jhq.12004","article-title":"Improving wait times and patient satisfaction in primary care","volume":"35","author":"Michael","year":"2013","journal-title":"J Healthc Qual"},{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib10","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1053\/j.ro.2023.02.003","article-title":"Applications of artificial intelligence in the radiology roundtrip: process streamlining, workflow optimization, and beyond","volume":"58","author":"Pierre","year":"2023","journal-title":"Semin Roentgenol"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib11","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1186\/s12889-017-4667-z","article-title":"Reducing waiting time and raising outpatient satisfaction in a chinese public tertiary general hospital-an interrupted time series study","volume":"17","author":"Sun","year":"2017","journal-title":"BMC Public Health"},{"issue":"5","key":"10.1016\/j.acra.2026.03.017_bib12","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.jacr.2015.11.008","article-title":"Shorter perceived outpatient MRI wait times associated with higher patient satisfaction","volume":"13","author":"Holbrook","year":"2016","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib13","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1007\/s10878-017-0210-5","article-title":"MRI appointment scheduling with uncertain examination time","volume":"37","author":"Qiu","year":"2019","journal-title":"J Comb Optim"},{"issue":"3","key":"10.1016\/j.acra.2026.03.017_bib14","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1007\/s10729-022-09592-6","article-title":"A dynamic sequential decision-making model on MRI real-time scheduling with simulation-based optimization","volume":"25","author":"Pang","year":"2022","journal-title":"Health Care Manag Sci"},{"issue":"12","key":"10.1016\/j.acra.2026.03.017_bib15","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1136\/bmjqs.2010.049643","article-title":"Reducing MRI access times by tackling the appointment-scheduling strategy","volume":"20","author":"Van Sambeek","year":"2011","journal-title":"BMJ Qual Saf"},{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib16","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1007\/s10729-011-9153-z","article-title":"Managing magnetic resonance imaging machines: support tools for scheduling and planning","volume":"14","author":"Carpenter","year":"2011","journal-title":"Health Care Manag Sci"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib17","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1007\/s10729-022-09618-z","article-title":"On integrating patient appointment grids and technologist schedules in a radiology center","volume":"26","author":"Bentayeb","year":"2023","journal-title":"Health Care Manag Sci"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib18","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1186\/s41747-025-00562-5","article-title":"AI for image quality and patient safety in CT and MRI","volume":"9","author":"Melazzini","year":"2025","journal-title":"Eur Radiol Exp"},{"key":"10.1016\/j.acra.2026.03.017_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.clinimag.2023.109993","article-title":"Improving radiology workflow using ChatGPT and artificial intelligence","volume":"103","author":"Mese","year":"2023","journal-title":"Clin Imaging"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib20","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s00330-020-07148-2","article-title":"Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow","volume":"31","author":"Kotter","year":"2021","journal-title":"Eur Radiol"},{"issue":"7","key":"10.1016\/j.acra.2026.03.017_bib21","doi-asserted-by":"crossref","first-page":"4221","DOI":"10.1016\/j.acra.2025.02.051","article-title":"Using optimal feature selection and continuous learning to implement efficient model arrays for predicting daily clinical radiology workload","volume":"32","author":"Lee","year":"2025","journal-title":"Acad Radiol"},{"key":"10.1016\/j.acra.2026.03.017_bib22","doi-asserted-by":"crossref","DOI":"10.1177\/19714009251395719","article-title":"Actionable strategies to minimize diagnostic errors in radiology","author":"Ivanovic","year":"2025","journal-title":"Neuroradiol J"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib23","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1148\/radiol.12110227","article-title":"Radiology\u2019s value chain","volume":"263","author":"Enzmann","year":"2012","journal-title":"Radiology"},{"issue":"9","key":"10.1016\/j.acra.2026.03.017_bib24","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1016\/j.acra.2015.05.007","article-title":"The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload","volume":"22","author":"McDonald","year":"2015","journal-title":"Acad Radiol"},{"issue":"9","key":"10.1016\/j.acra.2026.03.017_bib25","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1016\/j.jacr.2010.03.004","article-title":"Long radiology workdays reduce detection and accommodation accuracy","volume":"7","author":"Krupinski","year":"2010","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib26","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10278-011-9436-4","article-title":"The insidious problem of fatigue in medical imaging practice","volume":"25","author":"Reiner","year":"2012","journal-title":"J Digital Imaging"},{"key":"10.1016\/j.acra.2026.03.017_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102798","article-title":"Radiology report generation with a learned knowledge base and multi-modal alignment","volume":"86","author":"Yang","year":"2023","journal-title":"Med Image Anal"},{"issue":"3","key":"10.1016\/j.acra.2026.03.017_bib28","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2020190043","article-title":"On the interpretability of artificial intelligence in radiology: challenges and opportunities","volume":"2","author":"Reyes","year":"2020","journal-title":"Radiol, Artif Intell"},{"issue":"4","key":"10.1016\/j.acra.2026.03.017_bib29","doi-asserted-by":"crossref","first-page":"1256","DOI":"10.1016\/j.acra.2023.08.039","article-title":"Potential applications and impact of ChatGPT in radiology","volume":"31","author":"Bajaj","year":"2024","journal-title":"Acad Radiol"},{"issue":"1","key":"10.1016\/j.acra.2026.03.017_bib30","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1186\/s12913-019-4301-0","article-title":"The psychology of the wait time experience \u2013 what clinics can do to manage the waiting experience for patients: a longitudinal, qualitative study","volume":"19","author":"Chu","year":"2019","journal-title":"BMC Health Serv Res"},{"issue":"12","key":"10.1016\/j.acra.2026.03.017_bib31","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/j.acra.2020.09.001","article-title":"Cybersecurity protection for PACS and medical imaging: deployment considerations and practical problems","volume":"28","author":"Eichelberg","year":"2021","journal-title":"Acad Radiol"},{"issue":"2","key":"10.1016\/j.acra.2026.03.017_bib32","doi-asserted-by":"crossref","first-page":"343","DOI":"10.2214\/AJR.14.12882","article-title":"Lack of security of networked medical equipment in radiology","volume":"204","author":"Moses","year":"2015","journal-title":"Am J Roentgenol"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226001819?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226001819?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T00:50:27Z","timestamp":1780707027000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633226001819"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":32,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["S1076633226001819"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2026.03.017","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Impact of a Digital Intelligence Platform on Radiology Workflow Efficiency and Patient Satisfaction: A Retrospective Cohort Study","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2026.03.017","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Association of Academic Radiology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}