

de Recherche et d’Innovation
en Cybersécurité et Société
Nabelsi, V.; Gagnon, S.
Information technology strategy for a patient-oriented, lean, and agile integration of hospital pharmacy and medical equipment supply chains Article de journal
Dans: International Journal of Production Research, vol. 55, no 14, p. 3929–3945, 2017, ISSN: 00207543, (Publisher: Taylor and Francis Ltd.).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Agile manufacturing systems, Artificial intelligence, Biomedical equipment, Budget control, Business process management, Decision support system (dss), Decision support systems, Enterprise resource management, Hospitals, Infusion pump, Patient-oriented, pharmacy inventory, Pumps, Radio frequency identification (RFID), Reengineering, Supply chain management, Supply chain managements (SCM)
@article{nabelsi_information_2017,
title = {Information technology strategy for a patient-oriented, lean, and agile integration of hospital pharmacy and medical equipment supply chains},
author = {V. Nabelsi and S. Gagnon},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84981229289&doi=10.1080%2f00207543.2016.1218082&partnerID=40&md5=7b476ebaef87d06a411d3c3c683a0362},
doi = {10.1080/00207543.2016.1218082},
issn = {00207543},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Production Research},
volume = {55},
number = {14},
pages = {3929–3945},
abstract = {Both public and private hospitals are increasingly under pressure to reduce costs while improving patient care across all medical disciplines and departments. Hospitals must become patient-oriented, lean, and agile in order to properly realign and integrate health care processes, helping to reconcile efficiency imperatives with patient needs and hospital mission. One of the highest potential for improvement can be found in supply chain management (SCM) practices for medical supplies, which often represent more than 40% of a hospital’s operating budget. We report on 3 case studies of business process management and reengineering projects, relying on advanced information technology, focused on the supply chains of two major urban hospitals, involving $2 million in minimum stocks for drug inventory. Case study 1 deals with an in-depth analysis of SCM practices around a key medical asset in pharmaceutical supply, i.e. infusion pumps. Case study 2 builds upon the findings of case 1, and proposes an radio-frequency identification solution to support a new hospital-wide asset location process and system, aiming for just-in-time availability of infusion pumps for critical drugs administration. Case study 3 complements cases 1 and 2 by analysing the feasibility of integrating the various components of the hospital pharmacy inventories, which in turn could be integrated to asset location systems. Our 3 case studies lead us to a number of conclusions on how hospitals can develop a patient-oriented, agile, and lean perspectives and practices, as well as ensure the proper integration of patient needs within optimised supply chains. © 2016 Informa UK Limited, trading as Taylor & Francis Group.},
note = {Publisher: Taylor and Francis Ltd.},
keywords = {Administrative data processing, Agile manufacturing systems, Artificial intelligence, Biomedical equipment, Budget control, Business process management, Decision support system (dss), Decision support systems, Enterprise resource management, Hospitals, Infusion pump, Patient-oriented, pharmacy inventory, Pumps, Radio frequency identification (RFID), Reengineering, Supply chain management, Supply chain managements (SCM)},
pubstate = {published},
tppubtype = {article}
}
Nabelsi, V.; Gagnon, S.
Detecting constraints in supply chain reengineering projects: Case study of data and process integration in a hospital pharmacy Article d'actes
Dans: A., Zaremba M. Sasiadek J. Dolgui (Ed.): IFAC-PapersOnLine, p. 106–111, 2015, ISBN: 24058963 (ISSN), (Issue: 3 Journal Abbreviation: IFAC-PapersOnLine).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Artificial intelligence, Business Process, Business process management, Business process management (BPM), Business process re-engineering, Case-studies, Data integration, Data mining, Data models, Data structures, Data warehouses, Decision support system, Decision support system (dss), Decision support systems, Enterprise resource management, Extract transform and load, Extract Transform and Load (ETL), Hospitals, Information management, Integration, Process management, Project case, Re-engineering projects, Reengineering, Supply chain management, Supply Chain Management (SCM), Supply chain managements (SCM), System architectures, Verification method, Verification of information system
@inproceedings{nabelsi_detecting_2015,
title = {Detecting constraints in supply chain reengineering projects: Case study of data and process integration in a hospital pharmacy},
author = {V. Nabelsi and S. Gagnon},
editor = {Zaremba M. Sasiadek J. Dolgui A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953887968&doi=10.1016%2fj.ifacol.2015.06.066&partnerID=40&md5=ce9be2cbe2fdcfc4872793c13f4228a2},
doi = {10.1016/j.ifacol.2015.06.066},
isbn = {24058963 (ISSN)},
year = {2015},
date = {2015-01-01},
booktitle = {IFAC-PapersOnLine},
volume = {28},
pages = {106–111},
abstract = {This paper discusses how messy data may be a hidden failure factor that Business Process Reengineering (BPR) projects typically cannot detect during the planning phase. Our case study deals with Supply Chain Management (SCM) within two major urban hospitals, involving $2 million in minimum stocks for drug inventory. Our project addresses the feasibility of the hospital's data warehousing integration, especially at the stage of Extract, Transform, and Load (ETL). We conclude with a proposed system architecture audit and verification method that may serve to guide reengineering project planning and execution. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},
note = {Issue: 3
Journal Abbreviation: IFAC-PapersOnLine},
keywords = {Administrative data processing, Artificial intelligence, Business Process, Business process management, Business process management (BPM), Business process re-engineering, Case-studies, Data integration, Data mining, Data models, Data structures, Data warehouses, Decision support system, Decision support system (dss), Decision support systems, Enterprise resource management, Extract transform and load, Extract Transform and Load (ETL), Hospitals, Information management, Integration, Process management, Project case, Re-engineering projects, Reengineering, Supply chain management, Supply Chain Management (SCM), Supply chain managements (SCM), System architectures, Verification method, Verification of information system},
pubstate = {published},
tppubtype = {inproceedings}
}
Gagnon, S.; Messaoudi, S.; Charbonneau, A.
Automated Text Classification based on an ontology standard: Application of the Extensible Business Reporting Language (XBRL) to Reuters Corpus Volume 1 (RCV1) Article de journal
Dans: CORIA 2011: COnference en Recherche d'Information et Applications - Conference on Information Retrieval and Applications, p. 151–158, 2011, ISSN: 978-235768024-1 (ISBN).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Automated Text Classification, Automation, Classification (of information), Domain-specific ontologies, Extensible Business Reporting Language (XBRL), F measure, Financial news, Information retrieval, Ontology, Reuters, Reuters Corpus Volume 1 (RCV1), Text classification, Text processing
@article{gagnon_automated_2011,
title = {Automated Text Classification based on an ontology standard: Application of the Extensible Business Reporting Language (XBRL) to Reuters Corpus Volume 1 (RCV1)},
author = {S. Gagnon and S. Messaoudi and A. Charbonneau},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869423599&partnerID=40&md5=1d12a436b5acb9f715fd6f1669e37be4},
issn = {978-235768024-1 (ISBN)},
year = {2011},
date = {2011-01-01},
booktitle = {CORIA 2011: COnference en Recherche d'Information et Applications - Conference on Information Retrieval and Applications},
journal = {CORIA 2011: COnference en Recherche d'Information et Applications - Conference on Information Retrieval and Applications},
pages = {151–158},
address = {Avignon},
abstract = {We demonstrate that applying a domain-specific ontology standard significantly improves Automated Text Classification (ATC). We use the Extensible Business Reporting Language (XBRL) to define a standard ontology and compare the performance of an ACT engine (IBM Classification Module v.8.6) against 2 other list of concepts, namely simple and hierarchical. Our sample of financial news is extracted from the Reuters Corpus Volume 1 (RCV1), where 2 experts in finance help us code 1000 of the 45000 news dealing with mergers and acquisitions. We report recall, precision, the F measure, and in addition a hierarchical measure adjusted for classification relevance in parent classes, as well as a more detailed measure evaluating the classification improvements at the level of each text.},
keywords = {Administrative data processing, Automated Text Classification, Automation, Classification (of information), Domain-specific ontologies, Extensible Business Reporting Language (XBRL), F measure, Financial news, Information retrieval, Ontology, Reuters, Reuters Corpus Volume 1 (RCV1), Text classification, Text processing},
pubstate = {published},
tppubtype = {article}
}
Gagnon, S.
Are we ready for the service oriented architecture? Article de journal
Dans: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3806 LNCS, p. 765, 2005, ISSN: 03029743, (ISBN: 3540300171; 9783540300175 Place: New York, NY).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Adopter perspectives, Business Rules Systems, Computer architecture, Computer science, Configuration Management, Information analysis, Information technology, Open Source Solutions, Problem solving, Service oriented architecture, World Wide Web
@article{gagnon_are_2005,
title = {Are we ready for the service oriented architecture?},
author = {S. Gagnon},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744824076&doi=10.1007%2f11581062_86&partnerID=40&md5=0a3efa749b3c4efa8cf2039b0ea43815},
doi = {10.1007/11581062_86},
issn = {03029743},
year = {2005},
date = {2005-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {3806 LNCS},
pages = {765},
abstract = {This Industry Track Panel poses a strategic question, "Are We Ready for the Service Oriented Architecture (SOA)?" We discuss this issue from both vendor and adopter perspectives in the company of 5 IT Executives. In particular, we go beyond the discussion of SOA standards as such, and try to assess the importance of this approach from the point of view of related technologies, such as Business Process Management, Enterprise Architecture, Configuration Management, Business Rules Systems, and Open Source Solutions. © Springer-Verlag Berlin Heidelberg 2005.},
note = {ISBN: 3540300171; 9783540300175
Place: New York, NY},
keywords = {Administrative data processing, Adopter perspectives, Business Rules Systems, Computer architecture, Computer science, Configuration Management, Information analysis, Information technology, Open Source Solutions, Problem solving, Service oriented architecture, World Wide Web},
pubstate = {published},
tppubtype = {article}
}