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Статті в журналах з теми "Patient allocation"
Ford, Pauline. "Positive Results Of patient Allocation." Nursing Standard 2, no. 3 (October 17, 1987): 36–37. http://dx.doi.org/10.7748/ns.2.3.36.s79.
Повний текст джерелаKerr, Rhonda, and Delia V. Hendrie. "Is capital investment in Australian hospitals effectively funding patient access to efficient public hospital care?" Australian Health Review 42, no. 5 (2018): 501. http://dx.doi.org/10.1071/ah17231.
Повний текст джерелаCarson, Rachel C., Brian Forzley, Sarah Thomas, Nina Preto, Gaylene Hargrove, Alice Virani, John Antonsen, et al. "Balancing the Needs of Acute and Maintenance Dialysis Patients during the COVID-19 Pandemic." Clinical Journal of the American Society of Nephrology 16, no. 7 (February 8, 2021): 1122–30. http://dx.doi.org/10.2215/cjn.07460520.
Повний текст джерелаHoffman, Rob, Sally Costar, Tass Kostopoulos, Justine Little, Aaron Livingstone, Fiona McAlinden, Paul Newland, Jacinta Re, Dina Watterson, and Terry P. Haines. "Guardianship in hospitals: a collaborative pilot project." Australian Health Review 44, no. 2 (2020): 322. http://dx.doi.org/10.1071/ah19019.
Повний текст джерелаCHERKASSKY, LISA. "Does the United States Do It Better? A Comparative Analysis of Liver Allocation Protocols in the United Kingdom and the United States." Cambridge Quarterly of Healthcare Ethics 20, no. 3 (May 20, 2011): 418–33. http://dx.doi.org/10.1017/s0963180111000107.
Повний текст джерелаJönsson, Bengt. "Improving Patient Care: Consequences for Resource Allocation." Cardiology 84, no. 6 (1994): 420–26. http://dx.doi.org/10.1159/000176434.
Повний текст джерелаVISSERS, JAN M. H. "Patient flow based allocation of hospital resources." Mathematical Medicine and Biology 12, no. 3-4 (1995): 259–74. http://dx.doi.org/10.1093/imammb/12.3-4.259.
Повний текст джерелаVermeulen, Ivan B., Sander M. Bohte, Sylvia G. Elkhuizen, Han Lameris, Piet J. M. Bakker, and Han La Poutré. "Adaptive resource allocation for efficient patient scheduling." Artificial Intelligence in Medicine 46, no. 1 (May 2009): 67–80. http://dx.doi.org/10.1016/j.artmed.2008.07.019.
Повний текст джерелаSidani, Souraya, Mary Fox, and Laura Collins. "Towards Patient-Centered Clinical Trial Designs." European Journal for Person Centered Healthcare 5, no. 3 (September 26, 2017): 300. http://dx.doi.org/10.5750/ejpch.v5i3.1308.
Повний текст джерелаWen, Jianpei, Hanyu Jiang, and Jie Song. "A Stochastic Queueing Model for Capacity Allocation in the Hierarchical Healthcare Delivery System." Asia-Pacific Journal of Operational Research 36, no. 01 (February 2019): 1950005. http://dx.doi.org/10.1142/s0217595919500052.
Повний текст джерелаДисертації з теми "Patient allocation"
Walts, Lynn Maddox Walker George M. "Patient classification system : an integrated method for measuring nursing intensity and optimizing resource allocation /." See options below, 1992. http://proquest.umi.com/pqdweb?did=745208811&sid=2&Fmt=2&clientId=68716&RQT=309&VName=PQD.
Повний текст джерелаLin, Di. "Wireless health monitoring: patient arrival models, resource allocation and decision support systems." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121438.
Повний текст джерелаLa surpopulation dans les urgences est un problème très répandu qui peut incommoder les hôpitaux à promulguer des soins urgents dans des délais raisonnables. Au-delà de la satisfaction du patient, le problème de surpopulation entraine une augmentation du nombre de décès en salle d'attente, référant à la mort de patient durant l'attente d'une prise en charge, laquelle est causée par manque de soins médicaux. Ce problème met en évidence l'importance d'améliorer la qualité des soins médicaux, c'est pourquoi un système de surveillance médicale (SSM) pourrait aider le personnel médical à contrôler l'état des patients, en envoyant automatiquement des messages d'alerte aux appareils des médecins (ex. un téléphone intelligent, un assistant numérique personnel ou un ordinateur portable) dès qu'une condition médicale urgente se déclare. Dans une perspective de conception réseau, un SSM sans fil devrait être capable de supporter le nombre de patients qui utiliseront le système, et le fait de pouvoir évaluer l'aptitude du réseau à traiter un certain nombre de patients (défini comme la capacité en patients du réseau) est un facteur important dans la promotion de tels systèmes. Cette thèse étudie les procédés pour augmenter la capacité en patients du réseau dans un SSM. L'objectif principal est de trouver un compromis entre la capacité en patients du réseau et les exigences de la Qualité de Service (QdS) pour chaque patient, de sorte à avoir une capacité de réseau raisonnable en dépit des contraintes de la QdS dans des scénarios de transmissions réelles. Dans la première partie de cette thèse, nous développons de nouvelles méthodes pour estimer la durée moyenne d'attente d'un patient pour accéder au Département des Urgences (DU) d'un hôpital. Ainsi nous montrons pourquoi le développement d'un SSM et l'allocation de ses ressources sans fil limitées sont importants pour améliorer la qualité des soins médicaux. La suite de cette thèse présente plusieurs plans pour l'allocation de ressources dans un SSM, en considérant plusieurs facteurs qui ont besoin d'être pris en compte dans le cas d'un scénario réel, ce qui comprend les différentes exigences de la QdS, les interférences électromagnétiques (IEM) sur les équipements médicaux, ainsi que l'information imparfaite des états du canal. Nous proposons trois nouvelles techniques pour améliorer la capacité du réseau en patients dans un SSM, ce qui inclut une partie sur le multiplexage statistique, une partie basée sur la prédiction du canal et une partie basée sur la décision médical à l'appui.La dernière partie de cette thèse se concentre autour de l'évaluation des performances pour un système d'aide à la décision, qui est un résultat important pour évaluer la validité et l'acceptabilité de la décision d'aide basée sur le schéma d'allocation des ressources proposé précédemment.
Burgwin, Drew H. "Comparison of dispatch call evaluation to patient acuity and the resulting resource allocation in emergency medical services." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ54581.pdf.
Повний текст джерелаBurbidge, Nancy M. "Organ allocation and patient responsibility, re-examining the concept of responsibility in light of the thought of Emmanuel Levinas." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ66129.pdf.
Повний текст джерелаGöransson, Katarina. "Registered nurse-led emergency department triage : organisation, allocation of acuity ratings and triage decision making." Doctoral thesis, Örebro University, Department of Health Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-732.
Повний текст джерелаSuccessful triage is the basis for sound emergency department (ED) care, whereas unsuccessful triage could result in adverse outcomes. ED triage is a rather unexplored area in the Swedish health care system. This thesis contributes to our understanding of this complex nursing task. The main focus of this study has been on the organisation, performance, and decision making in Swedish ED triage. Specific aims were to describe the Swedish ED triage context, describe and compare registered nurses’ (RNs) allocation of acuity ratings, use of thinking strategies and the way they structure the ED triage process.
In this descriptive, comparative, and correlative research project quantitative and qualitative data were collected using telephone interviews, patient scenarios and think aloud method. Both convenience and purposeful sampling were used when identifying the participating 69 nurse managers and 423 RNs from various types of hospital-based EDs throughout the country.
The results showed national variation, both in the way triage was organised and in the way it was conducted. From an organisational perspective, the variation emerged in several areas: the use of various triageurs, designated triage nurses, and triage scales. Variation was also noted in the accuracy and concordance of allocated acuity ratings. Statistical methods provided limited explanations for these variations, suggesting that RNs’ clinical experience might have some affect on the RNs’ triage accuracy. The project identified several thinking strategies used by the RNs, indicating that the RNs, amongst other things, searched for additional information, generated hypotheses about the fictitious patients and provided explanations for the interventions chosen. The RNs formed relationships between their interventions and the fictitious patients’ symptoms. The RNs structured the triage process in several ways, beginning the process by searching for information, generating hypotheses, or allocating acuity ratings. Comparison of RNs’ use of thinking strategies and the structure of the triage process based on triage accuracy revealed only slight differences.
The findings in this dissertation indicate that the way a patient is triaged, and by whom, depends upon the particular organisation of the ED. Moreover, the large variation in RNs triage accuracy and the inter-rater agreement and concordance of the allocated acuity ratings suggest that the acuity rating allocated to a patient may vary considerably, depending on who does the allocation. That neither clinical experience nor the RNs’ decision-making processes alone can explain the variations in the RNs triage accuracy indicates that accuracy might be influenced by individual and contextual factors. Future studies investigating triage accuracy are recommended to be carried out in natural settings.
In conclusion, Swedish ED triage is permeated by diversity, both in its organisation and in its performance. The reasons for these variations are not well understood.
Martins, Sara Vanessa Teixeira. "Apuramento de custos por utente nos cuidados de saúde primários." Master's thesis, Universidade Nova de Lisboa. Escola Nacional de Saúde Pública, 2012. http://hdl.handle.net/10362/10192.
Повний текст джерелаABSTRACT - Introduction: The lack of a cost accounting plan for the primary health care program is an issue for the implementation of internal accounting, which is fundamental to the management of any health care institution. Without guidelines to standardize the criteria for allocation and distribution of costs/income, it becomes difficult to obtain the necessary analytical data to a more effective management control, allowing the use of resources in an efficient and rational way and delivering an improved healthcare service to the patients. Objectives: The aim of this study is to determine the cost per patient in primary healthcare. Methods: The cost evaluation study was based on the Time-Driven Activity-Based Costing method. The cost was allocated to each patient using the following cost drivers: duration of the consultation and undertaken production for the allocation of costs with medical staff; undertaken production for the allocation of other costs concerning staff and indirect variables; total number of patients registered for the allocation of indirect fixed costs. Results: The total cost calculated was €2.980.745, 10. The average number of consultations is 3,17 per registered patient and 4,72 per user patient. The average cost per patient is €195,76. The female population has an average cost per patient of €232,41. As for the male population, the average cost per patient is €154,80. The main cost categories contributing to the total cost per patient are medications (40,32%), medical costs (22,87%) and both diagnostics and therapeutics (17,18%). Conclusion: Within the implementation of a cost allocation system per patient, it is crucial to have efficient information systems to record the several patient healthcare services provided through the different levels of care. In addition to using the results as a cost control tool, it is also important for managers to use it as an instrument to create value for patients.
Pike, Kenneth Charles. "Allocating life : the selection of liver transplant patients /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8917.
Повний текст джерелаGREGOIRE, YVES AMBROISE. "La place de l'allocation aux adultes handicapes dans la prise en charge psychiatrique : etude faite au sein d'une population de patients suivis par une meme equipe soignante." Aix-Marseille 2, 1988. http://www.theses.fr/1988AIX20093.
Повний текст джерелаTsang, K., and 曾光. "Prioritization preferences for corneal transplantation allocation in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31972226.
Повний текст джерелаStocken, Deborah Dawn. "Statistical modelling for the prognostic classification of patients with pancreatic cancer for optimisation of treatment allocation." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/1303/.
Повний текст джерелаКниги з теми "Patient allocation"
David, Guy. Integration and task allocation: Evidence from patient care. Cambridge, MA: National Bureau of Economic Research, 2011.
Знайти повний текст джерелаBrown, Roswyn Ann. The social organisation of work in two paediatric wards: In relation to patient and task allocation. [s.l.]: typescript, 1986.
Знайти повний текст джерелаFrederic, Kilner John, Orr Robert D. 1941-, Shelly Judy Allen, and Center for Bioethics and Human Dignity., eds. The changing face of health care: A Christian appraisal of managed care, resource allocation, and patient-caregiver relationships. Grand Rapids, Mich: William B. Eerdmans Pub., Paternoster Press, 1998.
Знайти повний текст джерелаThe limits of principle: Deciding who lives and what dies. Westport, Conn: Praeger, 1998.
Знайти повний текст джерелаOffice, General Accounting. VA health care: Allocation of resources to medical facilities in the Sun Belt : report to congressional requesters. Washington, D.C: The Office, 1986.
Знайти повний текст джерелаOffice, General Accounting. VA health care: Resource allocation methodology has had little impact on medical centers' budgets : report to the Committee on Veterans' Affairs, U.S. Senate. Washington, D.C: The Office, 1989.
Знайти повний текст джерелаZivin, Joshua Graff. AIDS treatment and intrahousehold resource allocations: Children's nutrition and schooling in Kenya. Cambridge, Mass: National Bureau of Economic Research, 2006.
Знайти повний текст джерелаLife on the line: Ethics, aging, ending patients' lives, and allocating vital resources. Grand Rapids, Mich: W.B. Eerdmans Pub. Co., 1992.
Знайти повний текст джерелаPutting patients first, increasing organ supply for transplantation: Hearing before the Subcommittee on Health and Environment of the Committee on Commerce, House of Representatives, One Hundred Sixth Congress, first session, April 15, 1999. Washington: U.S. G.P.O., 1999.
Знайти повний текст джерелаUnited States. Congress. Senate. Committee on Labor and Human Resources., ed. Putting patients first: Resolving allocation of transplant organs : joint hearing before the Subcommittee on Health and Environment of the Committee on Commerce, House of Representatives, and the Committee on Labor and Human Resources, U.S. Senate, One Hundred Fifth Congress, second session, June 18, 1998. Washington: U.S. G.P.O., 1998.
Знайти повний текст джерелаЧастини книг з теми "Patient allocation"
Schäfer, Fabian, Manuel Walther, and Alexander Hübner. "Patient-Bed Allocation in Large Hospitals." In Springer Proceedings in Mathematics & Statistics, 299–300. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66146-9_28.
Повний текст джерелаSmith, Melanie S. "Nursing Aspects of Inappropriate Patient Care." In ICU Resource Allocation in the New Millennium, 293–95. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3866-3_36.
Повний текст джерелаFriedman, Eli A. "Donor Kidney Allocation to High Risk Patient." In Legal and Ethical Concerns in Treating Kidney Failure, 167–75. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4355-4_20.
Повний текст джерелаFreebody, Jane. "The Patient Workers Inside Hospital." In Mental Health in Historical Perspective, 261–97. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13105-9_8.
Повний текст джерелаCummings, Nancy Boucot. "Allocation of scarce resources: justice and rationing of health care." In Nephrology and Urology in the Aged Patient, 597–603. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1822-4_64.
Повний текст джерелаGibson, Jennifer L. "Resource Allocation in Paediatric Patient and Family-Centred Care." In Paediatric Patient and Family-Centred Care: Ethical and Legal Issues, 35–54. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0323-8_3.
Повний текст джерелаSiparsky, Nicole, David Axelrod, and Richard B. Freeman. "Organ Allocation in Liver Transplantation: Ethics, Organ Supply, and Evidencebased Practice." In Medical Care of the Liver Transplant Patient, 75–87. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444398441.ch7.
Повний текст джерелаKittleson, Michelle, Jon Kobashigawa, and Minh Luu. "Listing, Donor Allocation and Optimization of the Pre-transplant Patient." In Clinical Guide to Heart Transplantation, 37–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43773-6_4.
Повний текст джерелаSitek, Paweł, and Jarosław Wikarek. "Resource-Constrained Model of Optimizing Patient-to-Hospital Allocation During a Pandemic." In Computational Collective Intelligence, 176–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63007-2_14.
Повний текст джерелаFreebody, Jane. "Conclusions." In Mental Health in Historical Perspective, 335–51. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13105-9_10.
Повний текст джерелаТези доповідей конференцій з теми "Patient allocation"
Budai, Istvan, Balázs Kocsi, and László Pusztai. "New approach for resource allocation in digital healthcare 4.0." In CARPE Conference 2019: Horizon Europe and beyond. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/carpe2019.2019.10280.
Повний текст джерелаChoi, Chung-ho, and William K. Cheung. "A multi-agent resource allocation framework for patient journey shortening." In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2010. http://dx.doi.org/10.1109/bibmw.2010.5703849.
Повний текст джерелаSchooley, Ben, Akanksha Singh, Sarah Floyd, Stephan Pill, and John Brooks. "Direct Weighting Interactive Design of Patient Preferences for Shared Decision Making in Orthopaedic Practice." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002105.
Повний текст джерелаJaparova, Damira. "Allocation and Use of Financial Resources in Health Care in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01830.
Повний текст джерелаBalzer, Felix, Martin Dittmar, Olaf Ahlers, and Niels Pinkwart. "Validating Algorithmic Optimization of Patient Allocation at Medical Schools: Which Patient is the Best Fit for Undergraduate Training?" In 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2015. http://dx.doi.org/10.1109/icalt.2015.52.
Повний текст джерелаSchinstock, Emma, Alex Deakyne, Tinen Iles, Andrew Shaffer, and Paul A. Iaizzo. "Lung Allocation Pipeline: Machine Learning Approach to Optimized Lung Transplant." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9030.
Повний текст джерелаChen, Dan, Huabo Zhu, and Xinggang Luo. "The fairness of patient routing allocation policy with heterogeneous servers in outpatient department." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162242.
Повний текст джерелаTan, Kar Way, Wei Hao Tan, and Hoong Chuin Lau. "Improving patient length-of-stay in emergency department through dynamic resource allocation policies." In 2013 IEEE International Conference on Automation Science and Engineering (CASE 2013). IEEE, 2013. http://dx.doi.org/10.1109/coase.2013.6653988.
Повний текст джерелаKim, Yeongin, Mehmet Ayvaci, Srinivasan Raghunathan, and Bekir Tanriover. "Repairing the Digital Divide Can Increase the Service Divide: The Effects of Patient Portals on Kidney Allocation." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.481.
Повний текст джерелаAlelaiwi, Abdulhameed. "Resource Allocation Management in Patient-to-Physician Communications Based on Deep Reinforcement Learning in Smart Healthcare Services." In 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2020. http://dx.doi.org/10.1109/icmew46912.2020.9105982.
Повний текст джерелаЗвіти організацій з теми "Patient allocation"
David, Guy, Evan Rawley, and Daniel Polsky. Integration and Task Allocation: Evidence from Patient Care. Cambridge, MA: National Bureau of Economic Research, September 2011. http://dx.doi.org/10.3386/w17419.
Повний текст джерелаRieder, Karen A., and Susan S. Jackson. An Evaluative Study of the Navy Medical Department's Patient Classification System and Staffing Allocation System. (The Workload Management System for Nursing). Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada170377.
Повний текст джерелаCollington, Rosie, and William Lazonick. Pricing for Medicine Innovation: A Regulatory Approach to Support Drug Development and Patient Access. Institute for New Economic Thinking Working Paper Series, January 2022. http://dx.doi.org/10.36687/inetwp176.
Повний текст джерелаMorris, Andrew M., Sally Bean, Chaim M. Bell, Martin Betts, Jennifer Gibson, Christopher Graham, Rebecca Greenberg, et al. Strategies to Manage Tocilizumab Supply During the COVID-19 Pandemic. Ontario COVID-19 Science Advisory Table, April 2021. http://dx.doi.org/10.47326/ocsat.2021.02.22.1.0.
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