Vitor Carneiro Maia
ABSTRACT
Quickly locating equipment in health centers, such as hospitals, may be vital to saving a patient. This research intersects human-computer interaction, software engineering, health centers 4.0, and the Internet of Things to address this problem. We propose to support the management of the location and use of medical equipment within health centers by utilizing context-aware interactive software systems while contributing to reducing the explicit interactions between users and software systems. In this work in progress, we have defined a preliminary version of a conceptual model for characterizing the problem of locating medical equipment (objects) and observing their usage states in health centers by relating users, locations, technologies, and objects to be located while representing the objects’ traits and the Environment’s rules. The first model instance (proof of concept) illustrates the proposed approach. Furthermore, to verify the feasibility of the proposed conceptual model, it will be used to conceive context-aware IoT software systems in hospitals in two countries.
- [n. d.]. EPC Tag Data Standard - defines the Electronic Product Code and specifies the memory contents of Gen 2 RFID Tags. GS1.Google Scholar
- C. B. Anagnostopoulos, Y. Ntarladimas, and S. Hadjiefthymiades. 2007. Situational computing: An innovative architecture with imprecise reasoning. Journal of Systems and Software 80, 12 SPEC. ISS. (2007), 1993–2014. https://doi.org/10.1016/j.jss.2007.03.003Google ScholarDigital Library
- S. Anandhi, R. Anitha, and Venkatasamy Sureshkumar. 2019. IoT Enabled RFID Authentication and Secure Object Tracking System for Smart Logistics. Wireless Personal Communications 104, 2 (Jan. 2019), 543–560. https://doi.org/10.1007/s11277-018-6033-6Google ScholarCross Ref
- Luigi Atzori, Antonio Iera, and Giacomo Morabito. 2010. The Internet of Things: A survey. Computer Networks 54, 15 (2010), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010Google ScholarDigital Library
- Masoud Vatanpour Azghandi, Ioanis Nikolaidis, and Eleni Stroulia. 2015. Multi–Occupant Movement Tracking in Smart Home Environments. In Inclusive Smart Cities and e-Health, Antoine Geissbühler, Jacques Demongeot, Mounir Mokhtari, Bessam Abdulrazak, and Hamdi Aloulou (Eds.). Springer International Publishing, Cham, 319–324.Google Scholar
- Jakob E. Bardram, Afsaneh Doryab, Rune M. Jensen, Poul M. Lange, Kristian L. G. Nielsen, and Soren T. Petersen. 2011. Phase recognition during surgical procedures using embedded and body-worn sensors. In 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, Seattle, WA, 45–53. https://doi.org/10.1109/PERCOM.2011.5767594Google ScholarDigital Library
- Michael Braun and Florian Alt. 2019. Affective Assistants: A Matter of States and Traits. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow Scotland Uk, 1–6. https://doi.org/10.1145/3290607.3313051Google ScholarDigital Library
- Gaëlle Calvary, Joëlle Coutaz, David Thevenin, Quentin Limbourg, Laurent Bouillon, and Jean Vanderdonckt. 2003. A Unifying Reference Framework for multi-target user interfaces. Interacting with Computers 15, 3 (June 2003), 289–308. https://doi.org/10.1016/S0953-5438(03)00010-9Google ScholarCross Ref
- Matthew Chalmers. 2003. Seamful Design and Ubicomp Infrastructure. Proceedings of Ubicomp 2003 workshop at the crossroads: The interaction of HCI and systems issues in Ubicomp (2003), 577–584.Google Scholar
- Leonardo Chaves, Erik Buchmann, and Klemens Böhm. 2008. Tagmark: Reliable Estimations of RFID Tags for Business Processes. In Proceedings of the 14th ACM SIGKDD KDD ’08. ACM, New York, NY, USA, 999–1007. https://doi.org/10.1145/1401890.1402009 event-place: Las Vegas, Nevada, USA.Google ScholarDigital Library
- Long Cheng, Hao Chang, Kexin Wang, and Zhaoqi Wu. 2020. Real Time Indoor Positioning System for Smart Grid based on UWB and Artificial Intelligence Techniques. In 2020 IEEE SusTech. IEEE, Santa Ana, CA, USA, 1–7. https://doi.org/10.1109/SusTech47890.2020.9150486Google Scholar
- Mahmoud Elsanhoury, Petteri Makela, Janne Koljonen, Petri Valisuo, Ahm Shamsuzzoha, Timo Mantere, Mohammed Elmusrati, and Heidi Kuusniemi. 2022. Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review. IEEE Access 10 (2022), 44413–44445. https://doi.org/10.1109/ACCESS.2022.3169267Google ScholarCross Ref
- Mica R. Endsley. 1988. Design and Evaluation for Situation Awareness Enhancement. Proceedings of the Human Factors Society Annual Meeting 32, 2 (Oct. 1988), 97–101. https://doi.org/10.1177/154193128803200221Google ScholarCross Ref
- Hadi Farhat, Plamen Iliev, Philippe Marriage, and Nathalie Rolland. 2018. An Added Value Alternative to RAIN RFID Items Characterization in Retail. IEEE Access 6 (2018), 32430–32439. https://doi.org/10.1109/ACCESS.2018.2844739Google ScholarCross Ref
- Samuel Fosso Wamba, Abhijith Anand, and Lemuria Carter. 2013. A literature review of RFID-enabled healthcare applications and issues. International Journal of Information Management 33, 5 (Oct. 2013), 875–891. https://doi.org/10.1016/j.ijinfomgt.2013.07.005Google ScholarCross Ref
- Lucas G. Mello, Barbara P. Christovam, Mylena C. Araujo, Ana Paula A. Moreira, Erica B. Moraes, Graciele O. Paes, and Iuri B. Pereira. 2020. Implementação da metodologia Safety Huddle na Terapia Intensiva durante a pandemia Covid-19: Relato de Experiência. Enfermagem em Foco 11, 1.ESP (2020). https://doi.org/10.21675/2357-707X.2020.v11.n1.ESP.3528Google Scholar
- Antoine Garnier and Claudio Sartori. 2020. Comment un «huddle» a amélioré la communication interne d’un service hospitalier durant la pandémie. Forum Médical Suisse ‒ Swiss Medical Forum (July 2020). https://doi.org/10.4414/fms.2020.08557Google Scholar
- Eliyahu M. Goldratt, 1947-2011 and Jeff Cox. 2004. The goal : a process of ongoing improvement. Third revised edition, twentieth anniversary edition. Great Barrington, MA : North River Press, [2004] ©2004. https://search.library.wisc.edu/catalog/9910111186402121Google Scholar
- Yue Gu, Xinyu Li, Shuhong Chen, Hunagcan Li, Richard A. Farneth, Ivan Marsic, and Randall S. Burd. 2017. Language-Based Process Phase Detection in the Trauma Resuscitation. In 2017 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, Park City, UT, 239–247. https://doi.org/10.1109/ICHI.2017.50Google Scholar
- Krzysztof Hanzel, Krzysztof Paszek, and Damian Grzechca. 2020. The influence of the data packet size on positioning parameters of UWB system for the purpose of tagging smart city infrastructure. 68, 4 (2020), 857–868. https://doi.org/10.24425/BPASTS.2020.134173 Publisher: (:unav).Google Scholar
- Robert Harle and Andy Hopper. 2008. Towards autonomous updating of world models in location-aware spaces. Personal and Ubiquitous Computing 12, 4 (April 2008), 317–330. https://doi.org/10.1007/s00779-006-0103-6Google ScholarDigital Library
- L. Angelica Hernández-López, Ana B. Pimentel-Aguilar, and Martha R. Ortiz-Posadas. 2020. An index to prioritize the preventive maintenance of medical equipment. Health and Technology 10, 2 (March 2020), 399–403. https://doi.org/10.1007/s12553-019-00371-yGoogle ScholarCross Ref
- E. Iadanza, M. Chini, and F. Marini. 2013. Electromagnetic Compatibility: RFID and Medical Equipment in Hospitals. In IUPESM WC2012, Beijing, China, Mian Long (Ed.). Vol. 39. Springer Berlin Heidelberg, Berlin, Heidelberg, 732–735. https://doi.org/10.1007/978-3-642-29305-4_192 Series Title: IFMBE Proceedings.Google Scholar
- Kang Eun Jeon, James She, Perm Soonsawad, and Pai Chet Ng. 2018. BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities. IEEE Internet of Things Journal 5, 2 (April 2018), 811–828. https://doi.org/10.1109/JIOT.2017.2788449Google ScholarCross Ref
- Y. Kim, Y. Jeong, and G. Park. 2016. Smart Healthcare Service Model for Efficient Management of Patient at a Hospital Outpatient Visits. Indian Journal of Science and Technology 9 (Nov. 2016). https://doi.org/10.17485/ijst/2016/v9i44/105098Google Scholar
- Sébastien Kubicki, Sophie Lepreux, and Christophe Kolski. 2013. Distributed UI on Interactive tabletops: issues and context model. In Distributed User Interfaces: Collaboration and Usability. Springer, 27–38. https://doi.org/10.1007/978-1-4471-5499-0_3Google Scholar
- Andreas Landmark and Børge Sjøbakk. 2017. Tracking customer behaviour in fashion retail using RFID. International Journal of Retail & Distribution Management 45 (July 2017), 844–858. https://doi.org/10.1108/IJRDM-10-2016-0174Google ScholarCross Ref
- Jaewan Lee, Romeo Mark A. Mateo, Bobby D. Gerardo, and Sung-Hyun Go. 2006. Location-Aware Agent Using Data Mining for the Distributed Location-Based Services. In ICCSA 2006, David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Dough Tygar, Moshe Y. Vardi, Gerhard Weikum, Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, C. J. Kenneth Tan, David Taniar, Antonio Laganá, Youngsong Mun, and Hyunseung Choo (Eds.). Vol. 3984. Springer Berlin Heidelberg, Berlin, Heidelberg, 867–876. https://doi.org/10.1007/11751649_95 Series Title: Lecture Notes in Computer Science.Google ScholarDigital Library
- Sam Lemey, Sam Agneessens, Patrick Van Torre, Kristof Baes, Hendrik Rogier, and Jan Vanfleteren. 2017. Autonomous wearable RFID-based sensing platform for the Internet-of-Things. In 2017 International ACES Symposium - Italy. 1–2. https://doi.org/10.23919/ROPACES.2017.7916345Google ScholarCross Ref
- Xinyu Li, Dongyang Yao, Xuechao Pan, Jonathan Johannaman, JaeWon Yang, Rachel Webman, Aleksandra Sarcevic, Ivan Marsic, and Randall S. Burd. 2016. Activity recognition for medical teamwork based on passive RFID. In 2016 IEEE International Conference on RFID (RFID). IEEE, Orlando, FL, USA, 1–9. https://doi.org/10.1109/RFID.2016.7488002Google ScholarCross Ref
- Ditte Hvas Mortensen. 2009. User Aware Technology: From Inter-human Awareness to Technology-User Awareness. In Human-Computer Interaction – INTERACT 2009, Tom Gross, Jan Gulliksen, Paula Kotzé, Lars Oestreicher, Philippe Palanque, Raquel Oliveira Prates, and Marco Winckler (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 884–887.Google ScholarDigital Library
- George Oguntala, Raed Abd-Alhameed, Stephen Jones, James Noras, Mohammad Patwary, and Jonathan Rodriguez. 2018. Indoor location identification technologies for real-time IoT-based applications: An inclusive survey. Computer Science Review 30 (2018), 55–79. https://doi.org/10.1016/j.cosrev.2018.09.001Google ScholarCross Ref
- Edewede Oriwoh, Paul Sant, and Gregory Epiphaniou. 2013. Guidelines for Internet of Things Deployment Approaches – The Thing Commandments. Procedia Computer Science 21 (2013), 122–131. https://doi.org/10.1016/j.procs.2013.09.018Google ScholarCross Ref
- D. Park and W. Yoon. 2019. The Hexagonal Spindle Model for Human Situation Awareness While Autonomous Driving. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11596 LNCS (2019), 65–75. https://doi.org/10.1007/978-3-030-22666-4_5Google ScholarDigital Library
- Stefan Poslad. 2009. Ubiquitous Computing: Smart Devices, Environments and Interactions. Wiley Publishing.Google ScholarDigital Library
- Shah Mihir Rajesh. 2013. Integration of Active RFID and WSN for real time low-cost data monitoring of patients in hospitals. In International Conference on Control, Automation, Robotics and Embedded Systems (CARE) 2013. Jabalpur, India, 1–6. https://doi.org/10.1109/CARE.2013.6733768Google ScholarCross Ref
- Wei Ren and Xiaochen Wu. 2023. Application of Intelligent Medical Equipment Management System Based on Internet of Things Technology. Journal of Healthcare Engineering 2023 (Jan. 2023), 1–1. https://doi.org/10.1155/2023/9783210Google Scholar
- Rui Rodrigues, Pedro Gonçalves, Miguel Miranda, Filipe Portela, Manuel Santos, José Neves, António Abelha, and José Machado. 2012. Monitoring intelligent system for the Intensive Care Unit using RFID and multi-agent systems. In IEEM 2012. 851–855. https://doi.org/10.1109/IEEM.2012.6837860Google ScholarCross Ref
- Francisco Sabbadini, Antonio Augusto Gonçalves, and Mario Jorge Ferreira de Oliveira. 2017. Teoria das restrições e simulação aplicada a serviços de saúde. Paco e Littera, São Paulo.Google Scholar
- Paul M. Salmon, Michael G. Lenné, Guy H. Walker, and Ashleigh Filtness. 2013. Awesome Foursome? The Compatibility of Driver, Cyclist, Motorcyclist, and Pedestrian Situation Awareness at Intersections. In Engineering Psychology and Cognitive Ergonomics. Applications and Services, David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Doug Tygar, Moshe Y. Vardi, Gerhard Weikum, and Don Harris (Eds.). Vol. 8020. Springer Berlin Heidelberg, Berlin, Heidelberg, 53–62. https://doi.org/10.1007/978-3-642-39354-9_7 Series Title: Lecture Notes in Computer Science.Google ScholarDigital Library
- R.S. Sangwan, R.G. Qiu, and D. Jessen. 2005. Using RFID tags for tracking patients, charts and medical equipment within an integrated health delivery network. In Proceedings. 2005 IEEE Networking, Sensing and Control, 2005.IEEE, Tucson, AZ, USA, 1070–1074. https://doi.org/10.1109/ICNSC.2005.1461346Google ScholarCross Ref
- Ian Sharp and Kegen Yu. 2019. Indoor WiFi Positioning. In Wireless Positioning: Principles and Practice. Springer Singapore, Singapore, 219–240. https://doi.org/10.1007/978-981-10-8791-2_8 Series Title: Navigation: Science and Technology.Google Scholar
- Petros Spachos and Konstantinos N. Plataniotis. 2020. BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum. IEEE Systems Journal 14, 3 (Sept. 2020), 3483–3493. https://doi.org/10.1109/JSYST.2020.2969088Google ScholarCross Ref
- Robert T. Ssekitoleko, Solomon Oshabaheebwa, Ian G. Munabi, Martha S. Tusabe, C. Namayega, Beryl A. Ngabirano, Brian Matovu, Julius Mugaga, William M. Reichert, and Moses L. Joloba. 2020. The role of medical equipment in the spread of nosocomial infections: a cross-sectional study in four tertiary public health facilities in Uganda. BMC Public Health 20, 1 (Dec. 2020), 1561. https://doi.org/10.1186/s12889-020-09662-wGoogle ScholarCross Ref
- Ricardo Tesoriero and Jean Vanderdonckt. 2010. Extending UsiXML to Support User-Aware Interfaces. In Human-Centred Software Engineering, Regina Bernhaupt, Peter Forbrig, Jan Gulliksen, and Marta Lárusdóttir (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 95–110.Google Scholar
- Eric Trist. 1981. The evolution of socio-technical systems - A conceptual framework and an action research program. 2 (1981), 67.Google Scholar
- Meng-Hsiun Tsai, Chiu-Shu Pan, Chi-Wei Wang, Jui-Ming Chen, and Cheng-Bang Kuo. 2019. RFID Medical Equipment Tracking System Based on a Location-Based Service Technique. Journal of Medical and Biological Engineering 39, 1 (Feb. 2019), 163–169. https://doi.org/10.1007/s40846-018-0446-2Google ScholarCross Ref
- Inseop Um, Seongjoon Park, Seounghwan Oh, and Hwangnam Kim. 2019. Analyzing Location Accuracy of Unmanned Vehicle According to RTCM Message Frequency of RTK-GPS. In 2019 25th APCC. IEEE, Ho Chi Minh City, Vietnam, 326–330. https://doi.org/10.1109/APCC47188.2019.9026408Google Scholar
- Douglas L. Vail, Manuela M. Veloso, and John D. Lafferty. 2007. Conditional random fields for activity recognition. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems. ACM, Honolulu Hawaii, 1–8. https://doi.org/10.1145/1329125.1329409Google ScholarDigital Library
- Sebastijan Veselic, Claudio Zito, and Dario Farina. 2021. Human-Robot Interaction With Robust Prediction of Movement Intention Surpasses Manual Control. Frontiers in Neurorobotics 15 (Sept. 2021), 695022. https://doi.org/10.3389/fnbot.2021.695022Google Scholar
- He Xu, Shen Weiwei, Peng Li, Daniele Sgandurra, and Ruchuan Wang. 2017. VSMURF: A Novel Sliding Window Cleaning Algorithm for RFID Networks. Journal of Sensors 2017 (July 2017), 1–11. https://doi.org/10.1155/2017/3186482Google Scholar
- Amitabh Yadav, Vivek Kaundal, Abhishek Sharma, Paawan Sharma, Deepak Kumar, and Pankaj Badoni. 2017. Wireless Sensor Network Based Patient Health Monitoring and Tracking System. In Proceedings of ICICCD 2017, Rajesh Singh and Sushabhan Choudhury (Eds.). Springer Singapore, Singapore, 903–917.Google Scholar
- Ivan Zappia, Lucia Ciofi, Federica Paganelli, Ernesto Iadanza, Monica Gherardelli, and Dino Giuli. 2014. A distributed approach to Complex Event Processing in RFID-enabled hospitals. In EMTC 2014. 1–6. https://doi.org/10.1109/EMTC.2014.6996628Google ScholarCross Ref
- Yuan Zhou, Choi Look Law, and Jingjing Xia. 2012. Ultra low-power UWB-RFID system for precise location-aware applications. In 2012 IEEE WCNCW. IEEE, Paris, France, 154–158. https://doi.org/10.1109/WCNCW.2012.6215480Google Scholar
Index Terms
- Towards the Management of the Location and Use of Medical Equipment with Reduced User Interaction in Health Centers 4.0
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