{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T16:22:05Z","timestamp":1769271725171,"version":"3.49.0"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"vor","delay-in-days":366,"URL":"https:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["j-biomed-inform.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biomedical Informatics"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1016\/j.jbi.2015.02.005","type":"journal-article","created":{"date-parts":[[2015,3,6]],"date-time":"2015-03-06T11:46:51Z","timestamp":1425642411000},"page":"158-166","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":29,"special_numbering":"C","title":["Multi-perspective workflow modeling for online surgical situation models"],"prefix":"10.1016","volume":"54","author":[{"given":"Stefan","family":"Franke","sequence":"first","affiliation":[]},{"given":"J\u00fcrgen","family":"Meixensberger","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Neumuth","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.jbi.2015.02.005_b0005","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1067\/msy.2001.116676","article-title":"Burnout among American surgeons","volume":"130","author":"Campbell","year":"2001","journal-title":"Surgery"},{"key":"10.1016\/j.jbi.2015.02.005_b0010","doi-asserted-by":"crossref","unstructured":"Stahl JE, Egan MT, Goldman JM, Tenney D, Wiklund RA, Sandberg WS, u.a. Introducing new technology into the operating room: measuring the impact on job performance and satisfaction. Surgery 2005;137(5):518\u201326.","DOI":"10.1016\/j.surg.2004.12.015"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0015","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s11548-006-0051-7","article-title":"The operating room and the need for an IT infrastructure and standards","volume":"1","author":"Lemke","year":"2006","journal-title":"Int J CARS"},{"key":"10.1016\/j.jbi.2015.02.005_b0020","doi-asserted-by":"crossref","unstructured":"Sutherland J, van den Heuvel W-J. Towards an intelligent hospital environment: adaptive workflow in the OR of the future. In: Proceedings of the 39th annual Hawaii international conference on system sciences, 2006 HICSS \u201906; 2006. S. 100b\u2013100b.","DOI":"10.1109\/HICSS.2006.494"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0025","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1007\/s00464-010-1239-z","article-title":"New technologies for information retrieval to achieve situational awareness and higher patient safety in the surgical operating room: the MRI institutional approach and review of the literature","volume":"25","author":"Kranzfelder","year":"2011","journal-title":"Surg Endosc"},{"issue":"1","key":"10.1016\/j.jbi.2015.02.005_b0030","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1197\/jamia.M2748","article-title":"Validation of knowledge acquisition for surgical process models","volume":"16","author":"Neumuth","year":"2009","journal-title":"J Am Med Inform Assoc"},{"issue":"5","key":"10.1016\/j.jbi.2015.02.005_b0035","doi-asserted-by":"crossref","first-page":"371","DOI":"10.3414\/ME11-01-0093","article-title":"Surgical workflow management schemata for cataract procedures","volume":"51","author":"Neumuth","year":"2012","journal-title":"Methods Inf Med"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0040","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.jbi.2010.05.015","article-title":"Toward automated workflow analysis and visualization in clinical environments","volume":"44","author":"Vankipuram","year":"2011","journal-title":"J Biomed Inform"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0045","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.jbi.2011.04.003","article-title":"Deviations from protocol in a complex trauma environment: errors or innovations?","volume":"44","author":"Kahol","year":"2011","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.005_b0050","unstructured":"Bhatia B, Oates T, Xiao Y, Hu P. Real-time identification of operating room state from video. In: Proceedings of the 19th national conference on Innovative applications of artificial intelligence, vol. 2 [Internet]. Vancouver, British Columbia, Canada: AAAI Press; 2007 [zitiert 27. August 2013]. S. 1761\u20136. Verf\u00fcgbar unter: <http:\/\/dl.acm.org\/citation.cfm?id=1620113.1620126>."},{"key":"10.1016\/j.jbi.2015.02.005_b0055","doi-asserted-by":"crossref","unstructured":"Speidel S, Zentek T, Sudra G, Gehrig T, M\u00fcller-Stich BP, Gutt C, u.a. Recognition of surgical skills using hidden Markov models; 2009 [zitiert 27. August 2013]. S. 726125\u2013726125\u20138. Verf\u00fcgbar unter: http:\/\/dx.doi.org\/10.1117\/12.811140.","DOI":"10.1117\/12.811140"},{"key":"10.1016\/j.jbi.2015.02.005_b0060","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.ics.2004.03.287","article-title":"OR2020 workshop overview: operating room of the future","volume":"1268","author":"Cleary","year":"2004","journal-title":"Int Congr Ser"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0065","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s11548-006-0051-7","article-title":"The operating room and the need for an IT infrastructure and standards","volume":"1","author":"Lemke","year":"2006","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"Suppl. 1","key":"10.1016\/j.jbi.2015.02.005_b0070","article-title":"First clinical application of an open standards based OR integration system","volume":"56","author":"Bohn","year":"2011","journal-title":"Biomed Eng"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0075","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.jbi.2010.01.004","article-title":"Discovery of high-level tasks in the operating room","volume":"44","author":"Bouarfa","year":"2011","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.005_b0080","doi-asserted-by":"crossref","unstructured":"Lalys F, Riffaud L, Morandi X, Jannin P. Surgical phases detection from microscope videos by combining SVM and HMM. In: Menze B, Langs G, Tu Z, Criminisi A, editors. Herausgeber. Medical computer vision recognition techniques and applications in medical imaging [Internet]. Berlin, Heidelberg: Springer; 2011 [zitiert 27. August 2013]. S. 54\u201362. Verf\u00fcgbar unter: <http:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-18421-5_6>.","DOI":"10.1007\/978-3-642-18421-5_6"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0085","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1109\/TBME.2005.869771","article-title":"Generalized approach for modeling minimally invasive surgery as a stochastic process using a discrete Markov model","volume":"53","author":"Rosen","year":"2006","journal-title":"IEEE Trans Biomed Eng"},{"issue":"2","key":"10.1016\/j.jbi.2015.02.005_b0090","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/5.18626","article-title":"A tutorial on hidden Markov models and selected applications in speech recognition","volume":"77","author":"Rabiner","year":"1989","journal-title":"Proc IEEE"},{"issue":"4","key":"10.1016\/j.jbi.2015.02.005_b0095","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s10032-009-0098-4","article-title":"Markov models for offline handwriting recognition: a survey","volume":"12","author":"Pl\u00f6tz","year":"2009","journal-title":"Int J Doc Anal Recogn (IJDAR)"},{"issue":"12","key":"10.1016\/j.jbi.2015.02.005_b0100","doi-asserted-by":"crossref","first-page":"1742","DOI":"10.1016\/j.patrec.2008.05.008","article-title":"Semi-continuous HMMs with explicit state duration for unconstrained Arabic word modeling and recognition","volume":"29","author":"Benouareth","year":"2008","journal-title":"Pattern Recogn Lett"},{"issue":"4","key":"10.1016\/j.jbi.2015.02.005_b0105","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1088\/0967-3334\/31\/4\/004","article-title":"Segmentation of heart sound recordings by a duration-dependent hidden Markov model","volume":"31","author":"Schmidt","year":"2010","journal-title":"Physiol Meas"},{"issue":"5","key":"10.1016\/j.jbi.2015.02.005_b0110","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.sigpro.2009.07.016","article-title":"Online pattern recognition based on a generalized hidden Markov model for intraoperative vital sign monitoring","volume":"24","author":"Yang","year":"2010","journal-title":"Int J Adapt Control Signal Process"},{"key":"10.1016\/j.jbi.2015.02.005_b0115","doi-asserted-by":"crossref","unstructured":"Kati\u0107 D, Sudra G, Speidel S, Castrillon-Oberndorfer G, Eggers G, Dillmann R. Knowledge-based situation interpretation for context-aware augmented reality in dental implant surgery. In: Liao H, Edwards PJ \u201cEddie\u201d, Pan X, Fan Y, Yang G-Z, editors. Herausgeber. Medical imaging and augmented reality [Internet]. Berlin, Heidelberg: Springer; 2010 [zitiert 27. August 2013]. S. 531\u201340. Verf\u00fcgbar unter: <http:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-15699-1_56>.","DOI":"10.1007\/978-3-642-15699-1_56"},{"key":"10.1016\/j.jbi.2015.02.005_b0120","doi-asserted-by":"crossref","unstructured":"Kyriacou E, Fakas G, Pavlaki V. A completely decentralized workflow management system for the support of emergency telemedicine and patient monitoring. In: 28th Annual international conference of the IEEE engineering in medicine and biology society, 2006 EMBS \u201906; 2006. S. 5663\u20136.","DOI":"10.1109\/IEMBS.2006.259815"},{"key":"10.1016\/j.jbi.2015.02.005_b0125","doi-asserted-by":"crossref","unstructured":"Mans RS, Russell NC, Aalst WMP van der, Moleman AJ, Bakker PJM. Schedule-aware workflow management systems. In: Jensen K, Donatelli S, Koutny M, editors. Herausgeber. Transactions on Petri nets and other models of concurrency IV [Internet]. Berlin, Heidelberg: Springer; 2010 [zitiert 10. September 2013]. S. 121\u201343. Verf\u00fcgbar unter: <http:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-18222-8_6>.","DOI":"10.1007\/978-3-642-18222-8_6"},{"issue":"5","key":"10.1016\/j.jbi.2015.02.005_b0130","doi-asserted-by":"crossref","first-page":"371","DOI":"10.3414\/ME11-01-0093","article-title":"Surgical workflow management schemata for cataract procedures. Process model-based design and validation of workflow schemata","volume":"51","author":"Neumuth","year":"2012","journal-title":"Methods Inf Med"},{"key":"10.1016\/j.jbi.2015.02.005_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1515\/bmt-2012-4192","article-title":"Connecting workflow management to the OR network: design and evaluation of a bridge to enable dynamic systems behaviour","volume":"57","author":"Franke","year":"2012","journal-title":"Biomed Tech"},{"key":"10.1016\/j.jbi.2015.02.005_b0140","article-title":"A workflow-driven surgical information source management","author":"Rockstroh","year":"2013","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"10.1016\/j.jbi.2015.02.005_b0145","unstructured":"Padoy N, Blum T, Feussner H, Berger M-O, Navab N. On-line recognition of surgical activity for monitoring in the operating room. In: Proceedings of the 20th national conference on innovative applications of artificial intelligence, vol. 3 [Internet]. Chicago, Illinois: AAAI Press; 2008 [zitiert 27. August 2013]. S. 1718\u201324. Verf\u00fcgbar unter: <http:\/\/dl.acm.org\/citation.cfm?id=1620138.1620155>."},{"issue":"1","key":"10.1016\/j.jbi.2015.02.005_b0150","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jbi.2012.10.002","article-title":"Intervention time prediction from surgical low-level tasks","volume":"46","author":"Franke","year":"2013","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.005_b0155","doi-asserted-by":"crossref","unstructured":"Weske M. Business process management: concepts, languages, architectures. Springer; 2012. 408 p.","DOI":"10.1007\/978-3-642-28616-2"},{"issue":"4","key":"10.1016\/j.jbi.2015.02.005_b0160","doi-asserted-by":"crossref","first-page":"198","DOI":"10.3109\/13645706.2013.878363","article-title":"Sensor-based surgical activity recognition in unconstrained environments","volume":"23","author":"Mei\u00dfner","year":"2014","journal-title":"Minim Invasive Ther Allied Technol"},{"issue":"2","key":"10.1016\/j.jbi.2015.02.005_b0165","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s11548-011-0662-5","article-title":"Online recognition of surgical instruments by information fusion","volume":"7","author":"Neumuth","year":"2012","journal-title":"Int J CARS"},{"issue":"2","key":"10.1016\/j.jbi.2015.02.005_b0170","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0165-1684(02)00378-X","article-title":"A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking","volume":"83","author":"Yu","year":"2003","journal-title":"Signal Process"},{"key":"10.1016\/j.jbi.2015.02.005_b0175","doi-asserted-by":"crossref","unstructured":"Neumuth T, Durstewitz N, Fischer M, Strauss G, Dietz A, Meixensberger J, u.a. Structured recording of intraoperative surgical workflows; 2006 [zitiert 27. August 2013]. S. 61450A\u201361450A\u201312. Verf\u00fcgbar unter: http:\/\/dx.doi.org\/10.1117\/12.653462.","DOI":"10.1117\/12.653462"},{"issue":"3","key":"10.1016\/j.jbi.2015.02.005_b0180","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.media.2010.10.001","article-title":"Statistical modeling and recognition of surgical workflow","volume":"16","author":"Padoy","year":"2012","journal-title":"Med Image Anal"}],"container-title":["Journal of Biomedical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046415000374?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046415000374?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,8,21]],"date-time":"2019-08-21T14:46:18Z","timestamp":1566398778000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1532046415000374"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":36,"alternative-id":["S1532046415000374"],"URL":"https:\/\/doi.org\/10.1016\/j.jbi.2015.02.005","relation":{},"ISSN":["1532-0464"],"issn-type":[{"value":"1532-0464","type":"print"}],"subject":[],"published":{"date-parts":[[2015,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-perspective workflow modeling for online surgical situation models","name":"articletitle","label":"Article Title"},{"value":"Journal of Biomedical Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jbi.2015.02.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2015 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}