TÃtulo : |
Health Care Systems Engineering : HCSE, Montréal, Canada, May 30 - June 1, 2019 |
Tipo de documento: |
documento electrónico |
Autores: |
Bélanger, Valérie, ; Lahrichi, Nadia, ; Lanzarone, Ettore, ; Yalçındağ, Semih, |
Mención de edición: |
1 ed. |
Editorial: |
[s.l.] : Springer |
Fecha de publicación: |
2020 |
Número de páginas: |
IX, 304 p. 49 ilustraciones, 34 ilustraciones en color. |
ISBN/ISSN/DL: |
978-3-030-39694-7 |
Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
Idioma : |
Inglés (eng) |
Palabras clave: |
Cálculo de variaciones Administración de Salud Cálculo de variaciones y optimización IngenierÃa Industrial y de Producción ciencia de la gestión Investigación operativa Informática de la Salud Optimización matemática IngenierÃa de la producción Industrial engineering Administración de salud pública Informática Médica |
Clasificación: |
003 Teoría general de sistemas |
Resumen: |
Este libro demuestra cómo la optimización, la ingenierÃa de sistemas y las estadÃsticas pueden ayudar a mejorar la prestación de atención sanitaria y los sistemas de salud. Reúne las actas de la Cuarta Conferencia Internacional sobre IngenierÃa de Sistemas de Atención Médica (HCSE 2019), que se celebró en Montreal, Canadá, del 30 de mayo al 1 de junio de 2019. La conferencia brindó la oportunidad de discutir cuestiones de gestión de operaciones en la prestación de atención médica. sistemas, y permitió a cientÃficos y profesionales intercambiar sus últimas ideas, métodos y tecnologÃas para mejorar el funcionamiento de las organizaciones de atención médica. El evento se celebró en el Hospital Universitario Materno Infantil CHU Sainte-Justine de Montreal, y cada sesión estuvo copresidida por un ponente de la práctica clÃnica, a fin de promover colaboraciones estrechas con los médicos. Los respectivos capÃtulos cubren una amplia gama de problemas concretos que plantean desafÃos tanto para investigadores como para profesionales: logÃstica de medicamentos hospitalarios, gestión de quirófanos, donación de sangre, servicios de atención domiciliaria, modelado, simulación y minerÃa de procesos, y minerÃa de datos en la atención al paciente y la atención médica. organizaciones. . |
Nota de contenido: |
T. Foster, Non-emergency patient transfer scheduling and assignment -- Y.-H. Kuo, Non-emergency patients transportation with the consideration of user inconvenience -- P. Landa, Modelling hospital internal medicine wards to address patient complexity: a simulation-optimization approach -- C. Busby, Benefits of a Broader View: Patient Flow Modelling of Congested Hospitals -- L. Boyle, Coxian phase-type regression models for understanding the relationship between patient attributes, overcrowding, and length of stay in hospital emergency departments -- V. Bélanger, A Realistic Simulation Model of Montreal Emergency Medical Services -- F. Visintin, A two-phase approach to the Emergency Department Physician Rostering Problem -- P. Vanberkel, Using a slotted queueing model to predict the efficacy of Physician absent Emergency Department for rural communities -- K. Shin, A Meta Algorithm For Reinforcement Learning: Emergency Medical Service Resource Prioritization Problem in an MCI as an example.-C. Dosi, Facing Implementation barriers to simulation studies -- I. Marques, Reallocating operating room time: a Portuguese case -- K. Moons, Evaluating replenishment systems for disposable supplies at the operating theater: a simulation case study -- A. Orn Sigurpalsson, Stochastic surgery scheduling under a balanced ratio of in- and outpatients and ward uncertainty -- S. Germain, Multicriteria Scheduling Optimization in Home Health Care -- M. Shiri, 15. A Two-Phase Method for Robust Home Healthcare Problem: A Case Study -- L.-M. Rousseau, Adverse Event Prediction by Telemonitoring and Deep Learning -- A. Guinet, Mass casualty events: a decision making tool for home health care to discharge conventional hospitals -- N. Lahrichi, Simultaneous optimization of appointment grid and technologist scheduling in a radiology center -- B. Vieira, Mathematical programming models for radiotherapy scheduling with time windows -- R. Aringhieri, 20. Pattern-based online algorithms for a general patient-centred radiotherapy scheduling problem -- A. Robbes, Multi-level heuristic to optimize the chemotherapy production and delivery -- N. Aslani, Appointment type-based access time evaluation in primary care -- S. Yalçındağ, Uncertainty in the Blood Donation Appointment Scheduling: Key Factors and Research Perspectives. . |
Tipo de medio : |
Computadora |
Summary : |
This book demonstrates how optimization, system engineering and statistics can help to improve health care provision and health systems. It gathers the proceedings of the Fourth International Conference on Health Care Systems Engineering (HCSE 2019), which was held in Montreal, Canada, from May 30 to June 1, 2019. The conference provided an opportunity to discuss operations management issues in health care delivery systems, and allowed scientists and practitioners to exchange their latest ideas, methods and technologies for improving the operation of health care organizations. The event was hosted at the Mother and Child University Hospital CHU Sainte-Justine in Montreal, and each session was co-chaired by a discussant from clinical practice, so as to promote close collaborations with clinicians. The respective chapters cover a broad range of concrete problems that pose challenges for researchers and practitioners alike: hospital drug logistics, operating theatre management, blood donation, home care services, modelling, simulation and process mining, and data mining at patient care and health care organizations. . |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Health Care Systems Engineering : HCSE, Montréal, Canada, May 30 - June 1, 2019 [documento electrónico] / Bélanger, Valérie, ; Lahrichi, Nadia, ; Lanzarone, Ettore, ; YalçındaÄŸ, Semih, . - 1 ed. . - [s.l.] : Springer, 2020 . - IX, 304 p. 49 ilustraciones, 34 ilustraciones en color. ISBN : 978-3-030-39694-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
Palabras clave: |
Cálculo de variaciones Administración de Salud Cálculo de variaciones y optimización IngenierÃa Industrial y de Producción ciencia de la gestión Investigación operativa Informática de la Salud Optimización matemática IngenierÃa de la producción Industrial engineering Administración de salud pública Informática Médica |
Clasificación: |
003 Teoría general de sistemas |
Resumen: |
Este libro demuestra cómo la optimización, la ingenierÃa de sistemas y las estadÃsticas pueden ayudar a mejorar la prestación de atención sanitaria y los sistemas de salud. Reúne las actas de la Cuarta Conferencia Internacional sobre IngenierÃa de Sistemas de Atención Médica (HCSE 2019), que se celebró en Montreal, Canadá, del 30 de mayo al 1 de junio de 2019. La conferencia brindó la oportunidad de discutir cuestiones de gestión de operaciones en la prestación de atención médica. sistemas, y permitió a cientÃficos y profesionales intercambiar sus últimas ideas, métodos y tecnologÃas para mejorar el funcionamiento de las organizaciones de atención médica. El evento se celebró en el Hospital Universitario Materno Infantil CHU Sainte-Justine de Montreal, y cada sesión estuvo copresidida por un ponente de la práctica clÃnica, a fin de promover colaboraciones estrechas con los médicos. Los respectivos capÃtulos cubren una amplia gama de problemas concretos que plantean desafÃos tanto para investigadores como para profesionales: logÃstica de medicamentos hospitalarios, gestión de quirófanos, donación de sangre, servicios de atención domiciliaria, modelado, simulación y minerÃa de procesos, y minerÃa de datos en la atención al paciente y la atención médica. organizaciones. . |
Nota de contenido: |
T. Foster, Non-emergency patient transfer scheduling and assignment -- Y.-H. Kuo, Non-emergency patients transportation with the consideration of user inconvenience -- P. Landa, Modelling hospital internal medicine wards to address patient complexity: a simulation-optimization approach -- C. Busby, Benefits of a Broader View: Patient Flow Modelling of Congested Hospitals -- L. Boyle, Coxian phase-type regression models for understanding the relationship between patient attributes, overcrowding, and length of stay in hospital emergency departments -- V. Bélanger, A Realistic Simulation Model of Montreal Emergency Medical Services -- F. Visintin, A two-phase approach to the Emergency Department Physician Rostering Problem -- P. Vanberkel, Using a slotted queueing model to predict the efficacy of Physician absent Emergency Department for rural communities -- K. Shin, A Meta Algorithm For Reinforcement Learning: Emergency Medical Service Resource Prioritization Problem in an MCI as an example.-C. Dosi, Facing Implementation barriers to simulation studies -- I. Marques, Reallocating operating room time: a Portuguese case -- K. Moons, Evaluating replenishment systems for disposable supplies at the operating theater: a simulation case study -- A. Orn Sigurpalsson, Stochastic surgery scheduling under a balanced ratio of in- and outpatients and ward uncertainty -- S. Germain, Multicriteria Scheduling Optimization in Home Health Care -- M. Shiri, 15. A Two-Phase Method for Robust Home Healthcare Problem: A Case Study -- L.-M. Rousseau, Adverse Event Prediction by Telemonitoring and Deep Learning -- A. Guinet, Mass casualty events: a decision making tool for home health care to discharge conventional hospitals -- N. Lahrichi, Simultaneous optimization of appointment grid and technologist scheduling in a radiology center -- B. Vieira, Mathematical programming models for radiotherapy scheduling with time windows -- R. Aringhieri, 20. Pattern-based online algorithms for a general patient-centred radiotherapy scheduling problem -- A. Robbes, Multi-level heuristic to optimize the chemotherapy production and delivery -- N. Aslani, Appointment type-based access time evaluation in primary care -- S. Yalçındağ, Uncertainty in the Blood Donation Appointment Scheduling: Key Factors and Research Perspectives. . |
Tipo de medio : |
Computadora |
Summary : |
This book demonstrates how optimization, system engineering and statistics can help to improve health care provision and health systems. It gathers the proceedings of the Fourth International Conference on Health Care Systems Engineering (HCSE 2019), which was held in Montreal, Canada, from May 30 to June 1, 2019. The conference provided an opportunity to discuss operations management issues in health care delivery systems, and allowed scientists and practitioners to exchange their latest ideas, methods and technologies for improving the operation of health care organizations. The event was hosted at the Mother and Child University Hospital CHU Sainte-Justine in Montreal, and each session was co-chaired by a discussant from clinical practice, so as to promote close collaborations with clinicians. The respective chapters cover a broad range of concrete problems that pose challenges for researchers and practitioners alike: hospital drug logistics, operating theatre management, blood donation, home care services, modelling, simulation and process mining, and data mining at patient care and health care organizations. . |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
|  |