Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality

Sterilization in hospitals is performed due to the need of attacking and killing bacteria that can be dangerous for patients when intervened with medical instrumentation. In that sense, sterilization autoclaves are used, and controlling both temperature and pressure, bacteria are killed. Nonetheless...

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Fecha de publicación:: 2018

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: eng

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network_acronym_str	REPOUDEM2
network_name_str	Repositorio UDEM
repository_id_str
dc.title.spa.fl_str_mv	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
title	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
spellingShingle	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality Hospital Instrumentation Internet of Things Steam quality Sterilization Bacteria Boilers Cost effectiveness Hospitals Information systems Information use Instrument errors Quality control Statistical mechanics Steam Sterilization (cleaning) Chemical instruments Electronic instrumentation Instrumentation Medical instrumentation Periodic maintenance Single board computers Steam quality Temperature and pressures Internet of things
title_short	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
title_full	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
title_fullStr	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
title_full_unstemmed	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
title_sort	Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality
dc.contributor.affiliation.spa.fl_str_mv	Gonzalez-Palacio, M., Universidad de Medellín;Moncada, S.V., Universidad de Medellín;Luna-Delrisco, M., EUniversidad de Medellín; Gonzalez-Palacio, L., Universidad de Medellín;Montealegre, J.J.Q., Universidad de Medellín;Orozco, C.A.A., Universidad de Medellín;Diaz-Forero, I., Servicio Nacional de Aprendizaje - SENA;Velasquez, J.-P., NetuxLab;Marin, S.-A., NetuxLab
dc.subject.spa.fl_str_mv	Hospital Instrumentation Internet of Things Steam quality Sterilization Bacteria Boilers Cost effectiveness Hospitals Information systems Information use Instrument errors Quality control Statistical mechanics Steam Sterilization (cleaning) Chemical instruments Electronic instrumentation Instrumentation Medical instrumentation Periodic maintenance Single board computers Steam quality Temperature and pressures Internet of things
topic	Hospital Instrumentation Internet of Things Steam quality Sterilization Bacteria Boilers Cost effectiveness Hospitals Information systems Information use Instrument errors Quality control Statistical mechanics Steam Sterilization (cleaning) Chemical instruments Electronic instrumentation Instrumentation Medical instrumentation Periodic maintenance Single board computers Steam quality Temperature and pressures Internet of things
description	Sterilization in hospitals is performed due to the need of attacking and killing bacteria that can be dangerous for patients when intervened with medical instrumentation. In that sense, sterilization autoclaves are used, and controlling both temperature and pressure, bacteria are killed. Nonetheless, in some cases the level of humidity in the internal atmosphere is highly relevant to guarantee the success of the process. This variable is controlled by knowing the steam quality, however, it is not monitored online, but sampling is performed a few times a year, so pertinent adjustments are carried out into the boiler when needed. This periodic maintenance does not guarantee that the process is effective. On the other hand, instruments for monitoring steam quality are expensive, and cannot be afforded by many hospitals. As a result, a cheaper determination of steam quality is carried out by using chemical instruments like test tubes, adding critical errors in the measurements. In this paper a cost-effective measuring and processing method by implementing Internet of Things - IoT-techniques is proposed, based on strangulation calorimeter. All the calculations are performed in a Single Board Computer which is connected to an IoT platform for logging data, supervise in pseudo real time and use statistical tools to inference or predict. As a result, the IoT node can achieve measurement errors up to 0.25% FS, against 5.6% FS of traditional method. Furthermore, the inclusion of pseudo real time monitoring, allows maintenance staff to fix problems even in a predictive way. © 2018 AISTI.
publishDate	2018
dc.date.accessioned.none.fl_str_mv	2018-10-31T13:44:20Z
dc.date.available.none.fl_str_mv	2018-10-31T13:44:20Z
dc.date.created.none.fl_str_mv	2018
dc.type.eng.fl_str_mv	Conference Paper
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dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv	9789899843486
dc.identifier.issn.none.fl_str_mv	21660727
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/11407/4873
dc.identifier.doi.none.fl_str_mv	10.23919/CISTI.2018.8399370
identifier_str_mv	9789899843486 21660727 10.23919/CISTI.2018.8399370
url	http://hdl.handle.net/11407/4873
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.isversionof.spa.fl_str_mv	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049876062&doi=10.23919%2fCISTI.2018.8399370&partnerID=40&md5=7bcce25be57ba9c17f1b57e5d99ec206
dc.relation.citationvolume.spa.fl_str_mv	2018-June
dc.relation.citationstartpage.spa.fl_str_mv	1
dc.relation.citationendpage.spa.fl_str_mv	6
dc.relation.ispartofes.spa.fl_str_mv	Iberian Conference on Information Systems and Technologies, CISTI
dc.relation.references.spa.fl_str_mv	Nash, A.A., Dalziel, R.G., Fitzgerald, J.R., (2015) Mims' Pathogenesis of Infectious Disease: Academic Press;De Zoysa, H., Morecroft, E., Cleaning, disinfection and sterilization of equipment (2007) Anaesthesia &Intensive Care Medicine, 8, pp. 453-456;Tata, A., Beone, F., Hospital waste sterilization: A technical and economic comparison between radiation and microwaves treatments (1995) Radiation Physics and Chemistry, 46, pp. 1153-1157;(2002) Steam Sterilization and Sterility Assurance in Health Care Facilities: Association for the Advancement of Medical Instrumentation (AAMI), , A. f. t. A. o. M. Instrumentation and A. N. S. Institute;Basu, D., Bhattacharya, S., Mahajan, A., Ramanan, V.R., Chandy, M., Sterilization indicators in central sterile supply department: Quality assurance and cost implications (2015) Infection Control &Hospital Epidemiology, 36, pp. 484-486;(2015) Hospital Sterilization Problems, , Freemont;Ganapathy, V., (2002) Industrial Boilers and Heat Recovery Steam Generators: Design, Applications, and Calculations, , CRC Press;Kleven, L.A., Hedtke, R.C., Wiklund, D.E., (2002) Vortex Flowmeter with Signal Processing, , ed: Google Patents;Miller, C.E., Schlatter, G.L., Yoshida, L.T., (1987) Method and Apparatus for Measuring Steam Quality, , ed: Google Patents;(2015) EN 285:2015: Sterilization-Steam Sterilizers-Large Sterilizers, , BSI;Salazar Orozco, L.E., López, A.P., (2011) Diseño, Construcción y Pruebas de un Calorímetro de Estrangulamiento para El Laboratorio de Termodinámica de la Facultad de Mecánica de la ESPOCH;Atzori, L., Iera, A., Morabito, G., The internet of things: A survey (2010) Computer Networks, 54, pp. 2787-2805;Tremaine, P., Hill, P., Irish, D., Balakrishnan, P., Steam, water, and hydrothermal systems: Physics and chemistry meeting the needs of industry (2000) Proceedings of the 13th International Conference on the Properties of Water and Steam (NRC Press, Ottawa, 2000);Webster, J.G., Eren, H., (2014) Measurement, Instrumentation, and Sensors Handbook: Spatial, Mechanical, Thermal, and Radiation Measurement, 1. , CRC press;Hauser, E., (2018) Steam Quality Measurement with Proline Prowirl 200, , https://www.endress.com/en/Field-instrumentsoverview/measurement-technologies/Steam-quality-measurement;(2018) Thermophysical Properties of Fluid Systems, , http://webbook.nist.gov/chemistry/fluid/;Spakovszky, Z.S., (2018) Unified: Thermodynamics and Propulsion, , http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/fig6VaporDomePVSchematic_web.jpg;Martin, G., Zurawski, R., Trends in embedded systems (2006) ABB Rev, 2, pp. 9-13;Molano, J.I.R., Medina, V.H., Sánchez, J.F.M., Industrial internet of things: An architecture prototype for monitoring in confined spaces using a raspberry pi (2016) International Conference on Data Mining and Big Data, pp. 521-528;Ferdoush, S., Li, X., Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications (2014) Procedia Computer Science, 34, pp. 103-110;Prasad, S., Mahalakshmi, P., Sunder, A.J.C., Swathi, R., Smart surveillance monitoring system using raspberry pi and pir sensor (2014) Int. J. Comput. Sci. Inf. Technol, 5, pp. 7107-7109;Suresh, N., Balaji, E., Anto, K.J., Jenith, J., Raspberry PI based liquid flow monitoring and control (2014) International Journal of Research in Engineering and Technology, 3, pp. 122-125;Sandeep, V., Gopal, K.L., Naveen, S., Amudhan, A., Kumar, L., Globally accessible machine automation using Raspberry pi based on Internet of Things (2015) Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on, pp. 1144-1147;Durkop, L., Trsek, H., Otto, J., Jasperneite, J., A field level architecture for reconfigurable real-time automation systems (2014) Factory Communication Systems (WFCS), 2014 10th IEEE Workshop on, pp. 1-10;Almada-Lobo, F., The Industry 4.0 revolution and the future of manufacturing execution systems (MES) (2016) Journal of Innovation Management, 3, pp. 16-21;Cengel, Y.A., Boles, M.A., Thermodynamics: An engineering approach (2002) Sea, 1000, p. 8862;Sensortech, B., (2018) BME280, , https://www.boschsensortec.com/bst/products/all_products/bme280;Upton, E., Halfacree, G., (2013) Raspberry Pi User Guide, , John Wiley &Sons;Palacio, M.G., Palacio, L.G., Montealegre, J.J.Q., Pabón, H.J.O., Del Risco, M.A.L., Roldán, D., Salgarriaga, S., Martínez, C., A novel ubiquitous system to monitor medicinal cold chains in transportation (2017) Information Systems and Technologies (CISTI), 2017 12th Iberian Conference on, pp. 1-6;Chapra, S.C., Canale, R.P., (1988) Numerical Methods for Engineers, 2. , McGraw-Hill New York
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv	http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv	IEEE Computer Society
dc.publisher.program.spa.fl_str_mv	Ingeniería en Energía;Ingeniería de Sistemas;Ingeniería de Telecomunicaciones
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingenierías
dc.source.spa.fl_str_mv	Scopus
institution	Universidad de Medellín
repository.name.fl_str_mv	Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv	repositorio@udem.edu.co
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spelling	2018-10-31T13:44:20Z2018-10-31T13:44:20Z2018978989984348621660727http://hdl.handle.net/11407/487310.23919/CISTI.2018.8399370Sterilization in hospitals is performed due to the need of attacking and killing bacteria that can be dangerous for patients when intervened with medical instrumentation. In that sense, sterilization autoclaves are used, and controlling both temperature and pressure, bacteria are killed. Nonetheless, in some cases the level of humidity in the internal atmosphere is highly relevant to guarantee the success of the process. This variable is controlled by knowing the steam quality, however, it is not monitored online, but sampling is performed a few times a year, so pertinent adjustments are carried out into the boiler when needed. This periodic maintenance does not guarantee that the process is effective. On the other hand, instruments for monitoring steam quality are expensive, and cannot be afforded by many hospitals. As a result, a cheaper determination of steam quality is carried out by using chemical instruments like test tubes, adding critical errors in the measurements. In this paper a cost-effective measuring and processing method by implementing Internet of Things - IoT-techniques is proposed, based on strangulation calorimeter. All the calculations are performed in a Single Board Computer which is connected to an IoT platform for logging data, supervise in pseudo real time and use statistical tools to inference or predict. As a result, the IoT node can achieve measurement errors up to 0.25% FS, against 5.6% FS of traditional method. Furthermore, the inclusion of pseudo real time monitoring, allows maintenance staff to fix problems even in a predictive way. © 2018 AISTI.engIEEE Computer SocietyIngeniería en Energía;Ingeniería de Sistemas;Ingeniería de TelecomunicacionesFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049876062&doi=10.23919%2fCISTI.2018.8399370&partnerID=40&md5=7bcce25be57ba9c17f1b57e5d99ec2062018-June16Iberian Conference on Information Systems and Technologies, CISTINash, A.A., Dalziel, R.G., Fitzgerald, J.R., (2015) Mims' Pathogenesis of Infectious Disease: Academic Press;De Zoysa, H., Morecroft, E., Cleaning, disinfection and sterilization of equipment (2007) Anaesthesia &Intensive Care Medicine, 8, pp. 453-456;Tata, A., Beone, F., Hospital waste sterilization: A technical and economic comparison between radiation and microwaves treatments (1995) Radiation Physics and Chemistry, 46, pp. 1153-1157;(2002) Steam Sterilization and Sterility Assurance in Health Care Facilities: Association for the Advancement of Medical Instrumentation (AAMI), , A. f. t. A. o. M. Instrumentation and A. N. S. Institute;Basu, D., Bhattacharya, S., Mahajan, A., Ramanan, V.R., Chandy, M., Sterilization indicators in central sterile supply department: Quality assurance and cost implications (2015) Infection Control &Hospital Epidemiology, 36, pp. 484-486;(2015) Hospital Sterilization Problems, , Freemont;Ganapathy, V., (2002) Industrial Boilers and Heat Recovery Steam Generators: Design, Applications, and Calculations, , CRC Press;Kleven, L.A., Hedtke, R.C., Wiklund, D.E., (2002) Vortex Flowmeter with Signal Processing, , ed: Google Patents;Miller, C.E., Schlatter, G.L., Yoshida, L.T., (1987) Method and Apparatus for Measuring Steam Quality, , ed: Google Patents;(2015) EN 285:2015: Sterilization-Steam Sterilizers-Large Sterilizers, , BSI;Salazar Orozco, L.E., López, A.P., (2011) Diseño, Construcción y Pruebas de un Calorímetro de Estrangulamiento para El Laboratorio de Termodinámica de la Facultad de Mecánica de la ESPOCH;Atzori, L., Iera, A., Morabito, G., The internet of things: A survey (2010) Computer Networks, 54, pp. 2787-2805;Tremaine, P., Hill, P., Irish, D., Balakrishnan, P., Steam, water, and hydrothermal systems: Physics and chemistry meeting the needs of industry (2000) Proceedings of the 13th International Conference on the Properties of Water and Steam (NRC Press, Ottawa, 2000);Webster, J.G., Eren, H., (2014) Measurement, Instrumentation, and Sensors Handbook: Spatial, Mechanical, Thermal, and Radiation Measurement, 1. , CRC press;Hauser, E., (2018) Steam Quality Measurement with Proline Prowirl 200, , https://www.endress.com/en/Field-instrumentsoverview/measurement-technologies/Steam-quality-measurement;(2018) Thermophysical Properties of Fluid Systems, , http://webbook.nist.gov/chemistry/fluid/;Spakovszky, Z.S., (2018) Unified: Thermodynamics and Propulsion, , http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/fig6VaporDomePVSchematic_web.jpg;Martin, G., Zurawski, R., Trends in embedded systems (2006) ABB Rev, 2, pp. 9-13;Molano, J.I.R., Medina, V.H., Sánchez, J.F.M., Industrial internet of things: An architecture prototype for monitoring in confined spaces using a raspberry pi (2016) International Conference on Data Mining and Big Data, pp. 521-528;Ferdoush, S., Li, X., Wireless sensor network system design using Raspberry Pi and Arduino for environmental monitoring applications (2014) Procedia Computer Science, 34, pp. 103-110;Prasad, S., Mahalakshmi, P., Sunder, A.J.C., Swathi, R., Smart surveillance monitoring system using raspberry pi and pir sensor (2014) Int. J. Comput. Sci. Inf. Technol, 5, pp. 7107-7109;Suresh, N., Balaji, E., Anto, K.J., Jenith, J., Raspberry PI based liquid flow monitoring and control (2014) International Journal of Research in Engineering and Technology, 3, pp. 122-125;Sandeep, V., Gopal, K.L., Naveen, S., Amudhan, A., Kumar, L., Globally accessible machine automation using Raspberry pi based on Internet of Things (2015) Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on, pp. 1144-1147;Durkop, L., Trsek, H., Otto, J., Jasperneite, J., A field level architecture for reconfigurable real-time automation systems (2014) Factory Communication Systems (WFCS), 2014 10th IEEE Workshop on, pp. 1-10;Almada-Lobo, F., The Industry 4.0 revolution and the future of manufacturing execution systems (MES) (2016) Journal of Innovation Management, 3, pp. 16-21;Cengel, Y.A., Boles, M.A., Thermodynamics: An engineering approach (2002) Sea, 1000, p. 8862;Sensortech, B., (2018) BME280, , https://www.boschsensortec.com/bst/products/all_products/bme280;Upton, E., Halfacree, G., (2013) Raspberry Pi User Guide, , John Wiley &Sons;Palacio, M.G., Palacio, L.G., Montealegre, J.J.Q., Pabón, H.J.O., Del Risco, M.A.L., Roldán, D., Salgarriaga, S., Martínez, C., A novel ubiquitous system to monitor medicinal cold chains in transportation (2017) Information Systems and Technologies (CISTI), 2017 12th Iberian Conference on, pp. 1-6;Chapra, S.C., Canale, R.P., (1988) Numerical Methods for Engineers, 2. , McGraw-Hill New YorkScopusHospitalInstrumentationInternet of ThingsSteam qualitySterilizationBacteriaBoilersCost effectivenessHospitalsInformation systemsInformation useInstrument errorsQuality controlStatistical mechanicsSteamSterilization (cleaning)Chemical instrumentsElectronic instrumentationInstrumentationMedical instrumentationPeriodic maintenanceSingle board computersSteam qualityTemperature and pressuresInternet of thingsInternet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam qualityConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fGonzalez-Palacio, M., Universidad de Medellín;Moncada, S.V., Universidad de Medellín;Luna-Delrisco, M., EUniversidad de Medellín; Gonzalez-Palacio, L., Universidad de Medellín;Montealegre, J.J.Q., Universidad de Medellín;Orozco, C.A.A., Universidad de Medellín;Diaz-Forero, I., Servicio Nacional de Aprendizaje - SENA;Velasquez, J.-P., NetuxLab;Marin, S.-A., NetuxLabGonzalez-Palacio M.Moncada S.V.Luna-Delrisco M.Gonzalez-Palacio L.Montealegre J.J.Q.Orozco C.A.A.Diaz-Forero I.Velasquez J.-P.Marin S.-A.http://purl.org/coar/access_right/c_16ec11407/4873oai:repository.udem.edu.co:11407/48732020-05-27 15:58:11.654Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co

Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality

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