Generación de resultados de imágenes de diagnóstico médico: modelación y simulación
dc.contributor.author | Mendoza Torres, Martha Ruth | |
dc.contributor.author | Medina Chacón, Emilsy Rosio | |
dc.contributor.orcid | Medina Chacón, Emilsy Rosio [0000-0002-9198-5022] | spa |
dc.date.accessioned | 2023-12-04T17:08:27Z | |
dc.date.available | 2023-12-04T17:08:27Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Este libro documenta la investigación sobre las causas de demora en la entrega de resultados de imágenes diagnósticas, requeridos para detectar patologías que demandan pronta intervención médica. El estudio se valió de un modelo de análi sis y control de la red de los procesos estocásticos de generación de resultados de resonancia magnética, escanografía y rayos X, el manejo estadístico de grandes volúmenes de datos y la simulación como analogía en relación con procesos industriales y comerciales. Se encontraron interrupciones del flujo de procesa miento de imágenes por falta de sincronía entre el orden de procesamiento y los horarios de trabajo de los procesos de la red, lo que genera retrasos en la obtención de los resultados | spa |
dc.description.abstractenglish | This book documents research on the causes of delays in the delivery of diag nostic imaging results, required to detect pathologies that demand prompt medical intervention. The study used a model of analysis and control of the network of stochastic processes for generating magnetic resonance, scanog raphy and X-ray results, statistical management of large volumes of data, and simulation as an analogy in relation to industrial and commercial processes. Interruptions in the image processing flow were found due to lack of synchrony between the processing order and the work schedules of the network processes, which generates delays in obtaining diagnostic results. Due to the application of process analysis methodologies from industry and commerce to health processes, this work can be a useful reference for academia, for future research and for the management of health services. | spa |
dc.identifier.instname | instname:Universidad El Bosque | spa |
dc.identifier.instname | Ápite | |
dc.identifier.isbn | 978-958-739-341-5 | spa |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad El Bosque | spa |
dc.identifier.repourl | https://repositorio.unbosque.edu.co | |
dc.identifier.uri | https://hdl.handle.net/20.500.12495/11642 | |
dc.publisher | Universidad El Bosque | spa |
dc.publisher | Ápite | |
dc.publisher.grantor | Universidad El Bosque | spa |
dc.relation.references | Abdullah, H., Lam, S., Ang, B., Pourghaderi, A., Nguyen, F., Matchar, D., Tan H. & Ong, M. (2022). Resuming elective surgery after covid-19: A simullating modelling framework for guiding the phased opening of operating room. International Journal of Medical Informatics. Vol 158, pp. 1-12 https://doi.org/10.1016/j.ijmedinf.2021.104665 | spa |
dc.relation.references | Acevedo, M., Herrera, J., & Herrera, J. (2016). Propuesta de mejoramiento de la asignación de las cargas de trabajo de los transcriptores de exámenes de diagnóstico en Idime S.A., sede Lago y sede Norte, Bogotá. Trabajo de Grado, Universidad El Bosque, Bogotá. | spa |
dc.relation.references | Agudelo, L., & Escobar, J. (2010). Gestión por procesos. Instituto Colombiano de Normas Técnicas ICONTEC. | spa |
dc.relation.references | Alba, L. F. (2010). Manejo de la calidad en un departamento de radiología e imagen. Curso nacional para la implementación de un sistema de calidad en salud, Departamento de Radiología e Imagen INER., Unidad de imagen molecular PET- CT, Medina Sur. https://www.iner.salud.gob.mx/descargas/ARCAL/ponencias/Ponencias-Miercoles/13x45DrLuis-FelipeAlva.pdf | spa |
dc.relation.references | Andersen, A., Nielsen, B., Reindhardt, L., & Stidsen, T. (2019). Staff Optimization for time-dependent acute patient flow. European Journal of Operations Research. Vol. 272, pp. 94- 105. https://doi.org/10.1016/j.ejor.2018.06.015 | spa |
dc.relation.references | Angelo, S., Arruda, E., Goldwasser, R., Lobo, M., Salles, A., & Lapa e Silva, J. (2017). Demand forecast and optimal planning of intensive care unit (ICU) capacity. Pesquisa Operacional. Vol 37(2), pp. 229-245. https://doi.org/0.1590/0101-7438.2017.037.02.022. | spa |
dc.relation.references | Ansah, J., Ahmad, S., Lee, L., Shen, Y., Eng, M., Ong, H., Matchar, D., & Schoenenberger, L. (2021). Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine. PLoS ONE, pp. 1-33. https:// doi.org/10.1371/journal. pone.0244097. | spa |
dc.relation.references | Arslan, S., Ozdemir, M., & Ucar, A. (2021). Nowcasting and fo- recasting the Spread of covid-19 and Healthcare Demand in Turkey, a Modeling Study. Frontiers in Public Health. Vol 8, pp. 1-11. https://doi.org/10.3389/fpubh.2020.575145 | spa |
dc.relation.references | Azarang, M., & García, E. (1998). Simulación y análisis de modelos estocásticos. McGraw Hill. | spa |
dc.relation.references | Bae, K., Jones, M., Evans, G., & Antimisiares, D. (2017). Simulation Modelling of Patients Flow and Capacity Planning for Regional Long-Term Care Needs: A case study. Health Systems. Vol 8(1), pp. 1-16. https://doi.org/10.1080/20476965.2017.1405873 | spa |
dc.relation.references | Baia, D., Hahn-Goldberg, S., Aleman, D., & O´Connor, E. (2019). Planning Capacity for Mental Health and Addiction Services in the Emergency Department: A Discrete-Event Simulation Approach. Journal of Healthcare Engineering, pp. 1-11. https://doi.org/10.1155/2019/8973515 | spa |
dc.relation.references | Barros, O., Weber, R., & Reveco, C. (2021). Demand Analysis and Capacity Management for Hospital Emergencies Using Advanced Forecasting Models and Stochastic Simulation. Operations Research Perspectives. Vol 8, pp. 1-16. https://doi. org/10.1016/j.orp.2021.100208 | spa |
dc.relation.references | Battacharjee, P., & Ray, P. (2014). Patient flow modelling and performance analisys of healthcare delivery processes in hospitals: A review and reflections. Computers & Industrial Engineering (78), pp. 299-312. https://doi.org/10.1016/j. cie.2014.04.016 | spa |
dc.relation.references | Bhowmik, T., & Eluru, N. (2021). A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand. Scientific Reports. Sci Rep 11, 23098. https://doi.org/10.1038/s41598-021-02376-y | spa |
dc.relation.references | Bittencourt, O., Verter, V, & Yalovsky, M. (2018). Hospital capacity management based on the queueing theory. International Journal of Productivity and Performance Management, 67(2), pp. 224-238. https://doi.org/10.1108/ IJPPM-12-2015-0193 | spa |
dc.relation.references | Borkiz, C. D. C., Ozmemis, C., Kurbanzade, A. K., Balcik, B., Gunes, E. D., & Tuglular, S. (2021). Capacity Planning for Effective Cohorting of Hemodialysis Patients during the Coronavirus Pandemic: A case study. European Journal of Operational Research. | spa |
dc.relation.references | Burgos, F. (2012). Ingeniería de métodos, calidad y productividad. Universidad de Carabobo. | spa |
dc.relation.references | Calvino, J., López-Haro, M., Muñoz-Ocaña, J., Puerto, J., & Rodríguez-Chía, A. (2022). Segmentation of scanning transmission electron microscopy images using the ordered median problema. European Journal of Operational Research. Vol 302(2), pp. 671-687. https://doi.org/10.1016/j.ejor.2022.01.022 | spa |
dc.relation.references | Campillo-Funollet, E., Van Yperen, J., Allman, P., Bell, M., Beresford, W., Clay, J., Dorey, M., Evans, G., Gilchrist, K., Memon, A., Pannu, G., Walkley, R., Watson, M. & Madzvamuse, A. (2021). Predicting and forecasting the impact of local outbreaks of covid-19: use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity. International Journal of Epidemiology. Int J Epidemiol. 50(4), pp. 1103-1113. https://doi.org/10.1093/ije/dyab106 | spa |
dc.relation.references | Cardona, D., González, J., Rivera, M., & Romero, J. (2012). Aplicación de colas de Poisson en procesos de toma de decisiones en la gestión de servicios médicos. Universidad del Rosario. https://www.researchgate.net/publication/298431357_Aplicacion_de_colas_de_Poisson_en_procesos_de_’toma_de_decisiones’_en_la_gestion_de_servicios_medicos | spa |
dc.relation.references | Carter, H., Knowles, D., Moronoy, T., Holtmann, G., Rahman, T., Appleyard, M., . . . Graves, N. (2019). The use of modelling studies to inform planning of the health services: case of rapidly increasing endoscopy services in Australia. BMC. Health Serv Res 19, 608. https://doi.org/10.1186/s12913- 019-4438-x | spa |
dc.relation.references | Chapilliquén, F. (2013). Diagnóstico del proceso de atención por consultorio externo de un establecimiento de salud, utilizando simulación discreta. [Tesis de pregrado]. Universidad de Piura, Departamento de Ingeniería Industrial y de Sistemas, Piura. | spa |
dc.relation.references | Chase, R., & Jacobs, F. (2014). Administración de operaciones, producción y cadena de suministros. McGraw Hill. | spa |
dc.relation.references | Da Silva, R., Flogiatto, F., Krindges, A., & Cecconello, M. (2021). Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking. BMC Health Services Research, Res 21, 968, pp. 2-24. https://doi.org/10.1186/s12913- 021-06918-y. | spa |
dc.relation.references | Deglise-Hawkinson, J., Helm, J., Huschka, T., Kaufman, D., & Van-Ovayen, M. (2018). A Capacity Allocation Planning Model for Integrated Care and Access Management. Production and Operations Managment. 27(12), pp. 2270-2290. https://doi.org/10.1111/poms.12941 | spa |
dc.relation.references | Demir, E., Gunal, M., & Southern, D. (2017). Demand and capacity modelling for acute services using discrete event simulation. Health Systems, pp. 1-8. https://doi.org/10.1057/hs.2016.1 | spa |
dc.relation.references | Demir, E., Southern, D., Rashid, S., & Lebcir, R. (2018). A discret event simulation model to evaluate the treatments pathways of patients with cataract in the United Kingdom. BMC Health Serv Res 18, p. 933. https://doi.org/10.1186/ s12913-018-3741-2 | spa |
dc.relation.references | Fagefors, C., Lantz, B., & Rosen, P. (2020). Creating Short- Term Volume Flexibility in Healthcare Capacity Management. International Journal of Environmental Research and Public Health. Int J Environ Res Public Health. 2020 Nov 17;17(22):8514. doi: 10.3390/ijerph17228514. PMID: 33212944; PMCID: PMC7698355 | spa |
dc.relation.references | Fattahi, M., Keyvansshokoo, E., Kannan, D., & Govindan, K. (2022). Resource planning Strategies for helathcare systems during pandemic. European Journal of Operational Research. Vol. 304(1), pp. 192-206. https://doi.org/10.1016/j. ejor.2022.01.023 | spa |
dc.relation.references | Fralick, M., Kaw, N., Wang, M., Mamdani, N., & Mourad, O. (2021). Analyzing supply and demand on a general internal medicine ward: a cross-sectional study. cmaj Open. 9(4): E1021-E1025. https://doi.org/10.9778/cmajo.20200252 | spa |
dc.relation.references | Freivalds, A., & Niebel, B. (2014). Ingeniería industrial de Niebel. McGraw Hill. | spa |
dc.relation.references | Gallego, I. (2016). Estudio de las líneas de espera de pacientes en un centro médico. Universidad de Navarra. [Trabajo de Grado, Universidad Pública de Navarra]. https://hdl.handle. net/2454/20135 | spa |
dc.relation.references | García, P. (2015). Aplicando teoría de colas en dirección de operaciones. Universidad Politécnica de Valencia. https://personales.upv.es/jpgarcia/LinkedDocuments/Teoriadecolasdoc.pdf | spa |
dc.relation.references | Gido, J., & Clemens, J. (2007). Administración exitosa de proyectos. Thomson Editores. | spa |
dc.relation.references | Greiner, J., Naik, H., Johson, M., Liu, D., Silvestre, B., Ballouk, H., & McCarthy, I. (2021). Learning for the First Wave: Lessons about managing patient flow and resource utilization on medical wards at providence health during the covid-19 pandemic. Healthcare. Healthc (Amst) 9(2):100530. https://doi.org/10.1016/j.hjdsi.2021.100530. | spa |
dc.relation.references | Gupta, P., Chacko, G., Mavin, P., McDonald, I., Hassan, M., El Hassan M., Omari E., Ali A., Siddiqui R., Khan N., McKenzie L., Bolender T., & Andrews W. (2020). Value Improvement at the Point of Care: Engaging and Empowering front-line teams with a new quality improvement methodology. bmj Open Qual 10(2):e001233. https://doi. org/10.1136/bmjoq-2020-001233 | spa |
dc.relation.references | Gutiérrez, H., & De la Vara, R. (2009). Control estadístico de calidad y seis sigma. Mc Graw Hill. | spa |
dc.relation.references | Hamrock, E., Paige, K., Parks, J., Scheulen, J., & Levin, S. (Marzo de 2013). Discrete Event Simulation for Healthcare Organizations: A Tool for Decision Making. J Healthc Manag 58(2):110-24, pp.124-5. PMID: 23650696. | spa |
dc.relation.references | Heizer, J., & Render, B. (2009). Principios de administración de operaciones. Pearson Education. | spa |
dc.relation.references | Hernández, R., Fernández, C., & Baptista, P. (2014). Metodología de la investigación. McGraw Hill Interamericana. | spa |
dc.relation.references | Hopp, W., & Spearman, M. (2001). Factory Physics. Irwin/McGraw Hill. | spa |
dc.relation.references | Hospital Departamental Mario Correa Rengifo. (2009). Plan de mejoramiento con énfasis en acreditación de enero a marzo de 2010. | spa |
dc.relation.references | Instituto de Diagnóstico Médico S.A. (octubre de 2017). Instituto de Diagnóstico Médico S.A. https://www.idime.com.co/Web- site/portfolio-view/escanografia-tac/ | spa |
dc.relation.references | Izadi, N. (2019). An Integrated Approach to Demand and Capacity Planning in Outpatient Clinics. European Journal of Operational Research, Elsevier, Vol. 279(2), pp. 645-656. | spa |
dc.relation.references | Jiménez, A., Castro, M., & Costa, J. (2015). Simulación de procesos y aplicaciones.Dextra Editorial S.L. | spa |
dc.relation.references | Johannessen, K., & Alexandersen, N. (2018). Improving accessibility for outpatiens in specialist clinics: reducing long waiting times and waiting list with a simple analytic approach. BMC Health Serv Res 18, p. 827. https://doi.org/10.1186/ s12913-018-3635-3. | spa |
dc.relation.references | Kembe, M. M., Onah, E. S., & Lorkegh, S. (2012). A Study of Waiting and Service Cost of a Multiserver Queuing Model in a Specialist Hospital. International Journal of Scientific & Technology Research, Vol. 1(8), pp. 19-23. | spa |
dc.relation.references | Keshtkar, L., Rashwan, W., Abo-Hamad, W., & Arisha, A. (2020). An hybrid system dynamics, discret event simulation and data envelopment analysis to investigate boarding patients in acute hospitals. Operations Research for Health Care. Vol 26. https://doi.org/10.1016/j.orhc.2020.100266. | spa |
dc.relation.references | Lakshmi, C., & Sivakumar, A. (2013). Application of queueing theory in healthcare: A literature review. Operations Research for Healthcare, Vol 2, pp. 25-39. https://doi.org/10.1016/j. orhc.2013.03.002. | spa |
dc.relation.references | Li, J., Luo, I., & Zhu, G. (2021). Patient Mix Optimization in Admission Planning under Multitype Patients and Priority Constraints. Computational and Mathematical Methods in Medicine:5588241.https://doi.org/10.1155/2021/5588241. | spa |
dc.relation.references | López, E. (2014). Teoría de colas. Universidad de Málaga. https:// www.lcc.uma.es/~ezeqlr/ios/Tema5.pdf | spa |
dc.relation.references | López-Roldán, P., & Fachelli, S. (2015). Metodología de la Investigación Social Cuantitativa. Universitat Autónoma de Barcelona. Disponible en: https://ddd.uab.cat/pub/cap- lli/2017/185163/metinvsoccua_cap2-4a2017.pdf | spa |
dc.relation.references | Mackenzie, A., Tomblin, G., & Audas, R. (2019). A dynamic, multi-professional needs basic simulation to inform human resources for health planning. Hum Resour Health 17, 42. https://doi.org/10.1186/s12960-019-0376-2 | spa |
dc.relation.references | Manterola, C., Astudillo, P., Arias, E., & Claros, N. (2013). Revisiones sistemáticas de literatura. Qué se debe saber acerca de ellas. Cirugía española, 91(3), pp. 149-155. https://doi.org/10.1016/j.ciresp.2011.07.009 | spa |
dc.relation.references | Medlineplus a. (octubre de 2017). Resonancia magnética. https:// medlineplus.gov/spanish/ency/article/003335.htm | spa |
dc.relation.references | Medlineplus b. (octubre de 2017). Tomografía computarizada. https://medlineplus.gov/spanish/ctscans.html | spa |
dc.relation.references | Mendoza, M., & Ocampo, E. (2005). Modelo de sincronización de logística interna para empresas productoras pymes. Revista de Tecnología. 8(2), pp. 105-118. | spa |
dc.relation.references | Ministerio de Salud. (1999). Resolución 1995. Bogotá, Colombia. | spa |
dc.relation.references | Montenegro, V., & Méndez, J. (2018). Propuesta de mejoramiento de los procesos de control de lectura y entrega de resultados de IDIME S.A.. [Trabajo de Grado, Universidad El Bosque]. | spa |
dc.relation.references | Moretto, N., Comans, T., Chang, A., O´Leary, S., Osborne, S., Carter, H., Smith, D., Cavanagh T., Blond D., & Raymer, M. (2019). Implementation of simulation modelling to improve service planning in specialist orthopaedic and neurosurgical outpatients service. Implementation Science. Sci 14, 78. https://doi.org/10.1186/s13012-019-0923-1. | spa |
dc.relation.references | Murphy, G., Birch, S., Mackenzie, A., Rigby, J., & Langley, J. (2017). An Integrated Need-Based Approach to Health Service and Health Workforce Planning: Applications for Pandemic Influenza. Healthc Policy, 13(1), pp. 28-42. https://doi.org/10.12927/hcpol.2017.25193 | spa |
dc.relation.references | Nawawi, M., Zulkepli, J., Khalid, R., & Abidin, N. (2021). Modeling in Healthcare: Selection of Simulation Types. Universal Journal of Public Health. Vol. 9, pp. 401-409. https://doi. org/10.13189/ujph.2021.090607 | spa |
dc.relation.references | Nguyen, T., Sivakumar, A., & Graves, S. (2018). Capacity Planning with Demand Uncertainty for Outpatients Clinics. European Journal of Operational Research. Vol 267(1), pp. 338-348. https://doi.org/10.1016/j.ejor.2017.11.038 | spa |
dc.relation.references | Ordu, M., Demir, E., & Tofallis, C. (2020). A decision support system for demand and capacity modelling of an accident and emergency department. Health Syst (Basingstoke) 9(1), pp. 31-56. https://doi.org/10.1080/20476965.2018.15611 61. | spa |
dc.relation.references | Ordu, M., Demir, E., Tofallis, C., & Gunal, M. (2020). A novel healthcare resource allocation decision support: A forecasting –simulation– optimization approach. Journal of the Operational Research Society, 72(3), pp. 485-500, https:// doi.org/10.1080/01605682.2019.1700186 | spa |
dc.relation.references | Pedrosa, I., Juarros-Ballesteros, J., Robles-Fernández, A., Basteiro, J., García-Cueto, E., (2014). Prueba de Bondad de Ajuste en distribuciones simétricas ¿qué estadístico usar? Universitas Psychologica, 14(1), pp. 245-254. https://doi. org/10.11144/Javeriana.upsy14-1.pbad | spa |
dc.relation.references | Posada, G. (2016). Elementos básicos de estadística descriptiva para el análisis de datos. Luis Amigó. | spa |
dc.relation.references | Ramos, J. (2013). Mi producto: la prueba radiológica; el informe radiológico. Hospital San Juan de Dios Aljarafe. Sociedad Española de Radiología Médica. | spa |
dc.relation.references | Raudales, I. R. (2014). Imágenes diagnósticas: conceptos y generalidades. Revista Facultad de Ciencias Médicas, pp. 35-43. Disponible en https://www.bvs.hn/RFCM/pdf/2014/pdf/ RFCMVol11-1-2014-6.pdf | spa |
dc.relation.references | Ríos, D., Ríos, S., Martín, J., & Jiménez, A. (2009). Simulación. métodos y aplicaciones. AlfaOmega. | spa |
dc.relation.references | Roughan, L., & Stafford, J. (2019). Demand and Capacity in an ADHD Team: reducing the wait time for a ADHD assessment to 12 weeks. BMJ Open Qual 8(4):e000653. https:// doi.org/10.1136/bmjoq-2019-000653 | spa |
dc.relation.references | Sai Hanuman, A., Soujanya, R., & Madhuri, P. (2020). Big Data Analitycs in Healthcare Using Machine Learning Alghoritms: A comparative Study. International Journal of Online and Biomedical Engineering, 16(13), pp. 19-32. https://doi. org/10.3991/ijoe.v16i13.18609 | spa |
dc.relation.references | Selen, W., & Van Mulken, L. (2002). Bussiness Process Flow Analysis as a tool for improving repair loop logistics. APICS: Production and Inventory Managment Journal. https://www.researchgate.net/publication/292295598_Business_process_flow_analysis_as_a_tool_for_improving_re- pair_loop_logistics | spa |
dc.relation.references | Sprague, B. L., O’Meara, E. S., Lee, C. I., Lee, J. M., Henderson, L. M., Buist, D. S. M., Alsheik, N., Macarol, T., Perry, H., Tosteson, A. N. A., Onega, T., Kerlikowske, K., Mi- glioretti, D. L. (2021). Prioritizing breast imaging services during the covid pandemic: A survey of breast imaging facilities within the Breast Cancer Surveillance Consortium. Prev Med 151:106540. https://doi.org/10.1016/j.yp- med.2021.106540 | spa |
dc.relation.references | Stenson, B. A., Joseph, J. W., Antkowiak, P. S., Chiu, D. T., & Sanchez, L. D. (2021). Understanding Demand and Capacity Mismatch in an Academic Emergency Department Using a Staircase Model of Provider Capacity and Staggered Shift Start Times. J Emerg Med. 61(3), pp. 336-343. https://doi.org/10.1016/j.jemermed.2021.03.031 | spa |
dc.relation.references | Taha, H. (2012). Investigación de operaciones. Pearson. | spa |
dc.relation.references | Tahtis, V., Wilson, N., Northfield, F., Cook, D., Gregory, K., & Reilly, C. C. (2021). A demand-capacity mismatch between rehabilitation need and service provision as a result of the covid-19 pandemic? Early clinical observations from a large teaching hospital in London. Physiotherapy 113, pp. 153-159. https://doi.org/10.1016/j.physio.2021.03.007 | spa |
dc.relation.references | Tomes, C., Schram, B., & Orr, R. (2021). Field Monitoring the Effects of Overnight Shift Work on Specialits Tactical Police Training with Heart Rate Variability Analisis. Sustainability 13(14), p. 7895. https://doi.org/10.3390/su13147895 | spa |
dc.relation.references | Transcribeya. (Noviembre de 2018). Transcribeya. https://www. transcribeya.com/velocidad-de-transcripcion/ | spa |
dc.relation.references | Tseng, M. H., & Wu, H. C. (2021). Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation. Int J Environ Res Public Health 18(3), p. 1153. https://doi.org/10.3390/ ijerph18031153 | spa |
dc.relation.references | van Bussel, E. M., van der Voort, M. B. V. R., Wessel, R. N., & van Merode, G. G. (2018). Demand, capacity, and access of the outpatient clinic: A framework for analysis and improvement. J Eval Clin Pract 24(3), pp. 561-569. https://doi. org/10.1111/jep.12926 | spa |
dc.relation.references | van de Sande, D., Van Genderen, M., Verhoef, C., van Bommel, J., Gommers, D., van Unen, E., Huiskens J., & Grunhagen, D. (2021). Predicting need for hospital-specific interventional care after surgery using electronic health record data. Surgery 170(3). https://doi.org/10.1016/j.surg.2021.05.005 | spa |
dc.relation.references | Viana, J., Simonsen, T., Faraas, H., Schmidt, N., Dahl, F., & Flo, K. (2020). Capacity and patient flow planning in post-term pregnancy outpatient clinics: a computer simulation modelling study. bmc Health Serv Res 20, p. 117. https://doi. org/10.1186/s12913-020-4943-y | spa |
dc.relation.references | Wiig, S., & O´Hara, J. (2021). Resilient and responsive healthcare services and systems: challenges and opportunities in a changing world. bmc Health Serv Res 21, 1037. https://doi. org/10.1186/s12913-021-07087-8 | spa |
dc.relation.references | Winston, W. (2005). Investigación de Operaciones: Aplicaciones y algoritmos. Thomson. | spa |
dc.relation.references | Wood, R. M., Pratt, A. C., Kenward, C., McWilliams, C. J., Booton, R. D., Thomas, M. J., Bourdeaux, C. P., & Vasilakis, C. (2021). The Value of Triage during Periods of Intense covid-19 Demand: Simulation Modeling Study. Med Decis Making 41(4), pp. 393-407. https://doi.org/10.1177/0272989X21994035 | spa |
dc.relation.references | Yau, F., Ferreira, R., Kamali, R., Bird, P. W., Halliwell, R., Patel, H., Nicoara, D. C., Woltmann, G., & Tang, J. W. (2021). Clinical utility of a rapid ‘on-demand’ laboratory-based SARS-CoV-2 diagnostic testing service in an acute hospital setting admitting covid-19 patients. Clin Infect Pract. 12:100086. https://doi.org/10.1016/j.clinpr.2021.100086 | spa |
dc.relation.references | Zhou, L., Geng, N., Jiang, Z., & Jiang, S. (2021). Integrated Multiresource Capacity Planning and Multitype Patient Scheduling. Informs Journal of Computers, 34(1), pp. 29-149. https://doi.org/10.1287/ijoc.2020.1048 | spa |
dc.subject | Diagnóstico por Imagen | spa |
dc.subject | Imagen por resonancia magnética | spa |
dc.subject | Cintigrafía | spa |
dc.subject | Rayos X | spa |
dc.subject | Metodología | spa |
dc.subject | Medicina | spa |
dc.subject.keywords | Diagnostic imaging | spa |
dc.subject.keywords | Magnetic resonance imaging | spa |
dc.subject.keywords | Cintigraphy, X-ray | spa |
dc.subject.keywords | Methodology | spa |
dc.subject.keywords | Medicine | spa |
dc.title | Generación de resultados de imágenes de diagnóstico médico: modelación y simulación | spa |
dc.title.translated | Medical diagnostic imaging results generation: modeling and simulation | spa |
dc.type | book | |
dc.type.coar | https://purl.org/coar/resource_type/c_2f33 | |
dc.type.driver | info:eu-repo/semantics/book | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.type.local | libro | spa |
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- Generación de resultados de imágenes de diagnóstico médico: modelación y simulación
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