{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T20:50:02Z","timestamp":1648673402660},"reference-count":20,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Recent years have witnessed significant progress of workflow systems in different business areas. However, in the medical domain, the workflow systems are comparatively scarcely researched. In the medical domain, the workflows are as important as in other areas. In fact, the flow of information in the healthcare industry is even more critical than it is in other industries. Workflow can provide a new way of looking at how processes and procedures are completed in particular medical systems, and it can help improve the decision-making in these systems. Despite potential capabilities of workflow systems, medical systems still often perceive critical challenges in maintaining patient medical information that results in the difficulties in accessing patient data by different systems. In this paper, a new cloud-based service-oriented architecture is proposed. This architecture will support a medical workflow system integrated with cloud services aligned with medical standards to improve the healthcare system.<\/jats:p>","DOI":"10.1515\/acss-2016-0013","type":"journal-article","created":{"date-parts":[[2017,1,24]],"date-time":"2017-01-24T10:01:09Z","timestamp":1485252069000},"page":"36-39","source":"Crossref","is-referenced-by-count":0,"title":["Integrated Cloud-Based Services for Medical Workflow Systems"],"prefix":"10.1515","volume":"20","author":[{"given":"Nada","family":"Gharbi","sequence":"first","affiliation":[{"name":"University of Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u0101r\u012bte","family":"Kirikova","sequence":"additional","affiliation":[{"name":"Riga Technical University, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lotfi","family":"Bouzguenda","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2017,1,23]]},"reference":[{"key":"2021040701514537543_j_acss-2016-0013_ref_001_w2aab2b8b8b1b7b1ab1ab1Aa","unstructured":"[1] D. Hollingsworth, \u201cThe Workflow Reference Model,\u201d Workflow Management Coalition, Tech. Rep. TCOO- 1003, 1994."},{"key":"2021040701514537543_j_acss-2016-0013_ref_002_w2aab2b8b8b1b7b1ab1ab2Aa","doi-asserted-by":"crossref","unstructured":"[2] W. F. Andrew, \u201cWorkflow Concepts: The Challenges of Managing Healthcare Business Processes,\u201d in Information Technology for the Practicing Physician (Health Informatics), Springer New York, 2001, pp. 35\u201337. https:\/\/doi.org\/10.1007\/0-387-21857-2_3","DOI":"10.1007\/0-387-21857-2_3"},{"key":"2021040701514537543_j_acss-2016-0013_ref_003_w2aab2b8b8b1b7b1ab1ab3Aa","doi-asserted-by":"crossref","unstructured":"[3] L. Wang, G. von Laszewski, A. Younge and X. He, \u201cCloud computing: A perspective study,\u201d New Gener. Comput., vol. 28, issue 2, pp. 137\u2013146, 2010. https:\/\/doi.org\/10.1007\/s00354-008-0081-5","DOI":"10.1007\/s00354-008-0081-5"},{"key":"2021040701514537543_j_acss-2016-0013_ref_004_w2aab2b8b8b1b7b1ab1ab4Aa","doi-asserted-by":"crossref","unstructured":"[4] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski and M. Zaharia, \u201cA view of cloud computing,\u201d Communications of the ACM, vol. 53, issue 4, pp. 50\u201358, 2010. https:\/\/doi.org\/10.1145\/1721654.1721672","DOI":"10.1145\/1721654.1721672"},{"key":"2021040701514537543_j_acss-2016-0013_ref_005_w2aab2b8b8b1b7b1ab1ab5Aa","doi-asserted-by":"crossref","unstructured":"[5] P. Mell and T. Grance, The NIST definition of cloud computing, 2011.","DOI":"10.6028\/NIST.SP.800-145"},{"key":"2021040701514537543_j_acss-2016-0013_ref_006_w2aab2b8b8b1b7b1ab1ab6Aa","doi-asserted-by":"crossref","unstructured":"[6] O. Boyinbode and G. Toriola, \u201cCloudeMR: A Cloud Based Electronic Medical Record System,\u201d International Journal of Hybrid Information Technology, vol. 8, issue 4, pp. 201\u2013212, 2015. https:\/\/doi.org\/10.14257\/ijhit.2015.8.4.23","DOI":"10.14257\/ijhit.2015.8.4.23"},{"key":"2021040701514537543_j_acss-2016-0013_ref_007_w2aab2b8b8b1b7b1ab1ab7Aa","unstructured":"[7] B. Pardamean and R. R. Rumanda, \u201cIntegrated model of cloud-based E-medical record for health care organizations,\u201d in 10th WSEAS international conference on e-activities, Jakarta, Indonesia, 2011, pp. 157\u2013162."},{"key":"2021040701514537543_j_acss-2016-0013_ref_008_w2aab2b8b8b1b7b1ab1ab8Aa","doi-asserted-by":"crossref","unstructured":"[8] G. C. Kagadis, C. Kloukinas, K. Moore, J. Philbin, P. Papadimitroulas, C. Alexakos, P. G. Nagy, D. Visvikis and H. R. William, \u201cCloud computing in medical imaging,\u201d Medical physics vol. 40, no. 7 June 2013. https:\/\/doi.org\/10.1118\/1.4811272","DOI":"10.1118\/1.4811272"},{"key":"2021040701514537543_j_acss-2016-0013_ref_009_w2aab2b8b8b1b7b1ab1ab9Aa","doi-asserted-by":"crossref","unstructured":"[9] K. Wolstencroft, R. Haines, D. Fellows, et al., \u201cThe Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud,\u201d Nucleic acids research, vol. 41, issue W1, pp. W557\u2013W561, July 2013. https:\/\/doi.org\/10.1093\/nar\/gkt328","DOI":"10.1093\/nar\/gkt328"},{"key":"2021040701514537543_j_acss-2016-0013_ref_010_w2aab2b8b8b1b7b1ab1ac10Aa","doi-asserted-by":"crossref","unstructured":"[10] J. Wang, P. Korambath, I. Altintas, J. Davis and D. Crawl, \u201cWorkflow as a service in the cloud: architecture and scheduling algorithms,\u201d Procedia Computer Science, vol. 29, pp. 546\u2013556, 2014. https:\/\/doi.org\/10.1016\/j.procs.2014.05.049","DOI":"10.1016\/j.procs.2014.05.049"},{"key":"2021040701514537543_j_acss-2016-0013_ref_011_w2aab2b8b8b1b7b1ab1ac11Aa","doi-asserted-by":"crossref","unstructured":"[11] P. Korambath, J. Wang, A. Kumar et al., \u201cDeploying Kepler workflows as services on a cloud infrastructure for smart manufacturing,\u201d Procedia Computer Science, vol. 29, pp. 2254\u20132259, 2014. https:\/\/doi.org\/10.1016\/j.procs.2014.05.210","DOI":"10.1016\/j.procs.2014.05.210"},{"key":"2021040701514537543_j_acss-2016-0013_ref_012_w2aab2b8b8b1b7b1ab1ac12Aa","doi-asserted-by":"crossref","unstructured":"[12] J. Wang, P. Korambath, I. Altintas, J. Davis and D. Crawl, \u201cWorkflow as a service in the cloud: architecture and scheduling algorithms,\u201d Procedia Computer Science, vol. 29, pp. 546\u2013556, 2014. https:\/\/doi.org\/10.1016\/j.procs.2014.05.049","DOI":"10.1016\/j.procs.2014.05.049"},{"key":"2021040701514537543_j_acss-2016-0013_ref_013_w2aab2b8b8b1b7b1ab1ac13Aa","doi-asserted-by":"crossref","unstructured":"[13] Y. Zhao, X. Fei, I. Raicu and S. Lu, \u201cOpportunities and challenges in running scientific workflows on the cloud,\u201d in 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Beijing, 2011, pp. 455\u2013462. https:\/\/doi.org\/10.1109\/cyberc.2011.80","DOI":"10.1109\/CyberC.2011.80"},{"key":"2021040701514537543_j_acss-2016-0013_ref_014_w2aab2b8b8b1b7b1ab1ac14Aa","doi-asserted-by":"crossref","unstructured":"[14] S. Pandey, D. Karunamoorthy and B. Rajkumar, \u201cWorkflow engine for clouds,\u201d in Cloud Computing: Principles and Paradigms, R. Buyya, J. Broberg and A. Goscinski, Eds. Hoboken, NJ: John Wiley & Sons, Inc., 2011, ch. 12, pp. 321\u2013344. https:\/\/doi.org\/10.1002\/9780470940105.ch12","DOI":"10.1002\/9780470940105.ch12"},{"key":"2021040701514537543_j_acss-2016-0013_ref_015_w2aab2b8b8b1b7b1ab1ac15Aa","doi-asserted-by":"crossref","unstructured":"[15] J.-Y. Zhang, X.-D. Lu, H.-L. Duan and H.-C. Nie, (2009, August). \u201cA Medical information system architecture based on workflow technology,\u201d in 2009 IEEE International Symposium on IT in Medicine & Education, ITIME\u201909, Jinan, 2009, pp. 1117\u20131121. https:\/\/doi.org\/10.1109\/itime.2009.5236245","DOI":"10.1109\/ITIME.2009.5236245"},{"key":"2021040701514537543_j_acss-2016-0013_ref_016_w2aab2b8b8b1b7b1ab1ac16Aa","doi-asserted-by":"crossref","unstructured":"[16] L. Liu, M. Zhang, Y. Lin and L. Qin, \u201cA survey on workflow management and scheduling in cloud computing,\u201d in 2014 14th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, IL, 2014, pp. 837\u2013846. https:\/\/doi.org\/10.1109\/ccgrid.2014.83","DOI":"10.1109\/CCGrid.2014.83"},{"key":"2021040701514537543_j_acss-2016-0013_ref_017_w2aab2b8b8b1b7b1ab1ac17Aa","unstructured":"[17] A. Kamil, \u201cA comparison of different workflow modeling tools: choosing the most accurate tool for designing a reliable healthcare system,\u201d Doctoral dissertation, McMaster University, 2014."},{"key":"2021040701514537543_j_acss-2016-0013_ref_018_w2aab2b8b8b1b7b1ab1ac18Aa","doi-asserted-by":"crossref","unstructured":"[18] W. M. van der Aalst, L. Aldred, M. Dumas and A. H. ter Hofstede, \u201cDesign and implementation of the YAWL system,\u201d in International Conference on Advanced Information Systems Engineering (Lecture Notes in Computer Science). Berlin: Springer Berlin Heidelberg, 2004, pp. 142\u2013159. https:\/\/doi.org\/10.1007\/978-3-540-25975-6_12","DOI":"10.1007\/978-3-540-25975-6_12"},{"key":"2021040701514537543_j_acss-2016-0013_ref_019_w2aab2b8b8b1b7b1ab1ac19Aa","doi-asserted-by":"crossref","unstructured":"[19] Di Cicco, Maurilio, Luca Iocchi, and Giorgio Grisetti, \u201cAdvances in Intelligent Systems and Computing,\u201d Springer Verlag. 2016. https:\/\/doi.org\/10.1007\/978-3-319-08338-4_67","DOI":"10.1007\/978-3-319-08338-4_67"},{"key":"2021040701514537543_j_acss-2016-0013_ref_020_w2aab2b8b8b1b7b1ab1ac20Aa","doi-asserted-by":"crossref","unstructured":"[20] S. Venugopal, K. Nadiminti, H. Gibbins and R. Buyya, \u201cDesigning a resource broker for heterogeneous grids,\u201d Software: Practice and Experience, vol. 38, issue 8, pp. 793\u2013825, July 2008. https:\/\/doi.org\/10.1002\/spe.849","DOI":"10.1002\/spe.849"}],"container-title":["Applied Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/content.sciendo.com\/view\/journals\/acss\/20\/1\/article-p36.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/acss-2016-0013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T05:03:25Z","timestamp":1617771805000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciendo.com\/article\/10.1515\/acss-2016-0013"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,1]]},"references-count":20,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1,23]]},"published-print":{"date-parts":[[2016,12,1]]}},"alternative-id":["10.1515\/acss-2016-0013"],"URL":"https:\/\/doi.org\/10.1515\/acss-2016-0013","relation":{},"ISSN":["2255-8691"],"issn-type":[{"value":"2255-8691","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,1]]}}}