Academic literature on the topic 'Emergency nursing Decision making'
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Journal articles on the topic "Emergency nursing Decision making"
Lugg, Jason. "Clinical Judgement and Decision Making in Nursing." Emergency Nurse 25, no. 09 (February 9, 2018): 16. http://dx.doi.org/10.7748/en.25.09.16.s18.
Full textAbu Arra, Ahmed Yahya, Ahmad Ayed, Dalia Toqan, Mohammed Albashtawy, Basma Salameh, Adnan Lutfi Sarhan, and Ahmad Batran. "The Factors Influencing Nurses’ Clinical Decision-Making in Emergency Department." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 60 (January 2023): 004695802311520. http://dx.doi.org/10.1177/00469580231152080.
Full textRubio-Navarro, Alfonso, Diego José García-Capilla, Maria José Torralba-Madrid, and Jane Rutty. "Decision-making in an emergency department: A nursing accountability model." Nursing Ethics 27, no. 2 (July 18, 2019): 567–86. http://dx.doi.org/10.1177/0969733019851542.
Full textAlba, Barbara. "Factors that impact on emergency nurses’ ethical decision-making ability." Nursing Ethics 25, no. 7 (November 10, 2016): 855–66. http://dx.doi.org/10.1177/0969733016674769.
Full textGrieve, DL. "Decision making in emergency nursing M Mancini Decision making in emergency nursing B C Decker 224pp £19.95 1-55664-003-X." Nursing Standard 2, no. 30 (April 30, 1988): 52. http://dx.doi.org/10.7748/ns.2.30.52.s85.
Full textMirhaghi, A., G. R. Mohammadi, and M. Asghari. "(A260) Triage Decision-Making in Intoxication." Prehospital and Disaster Medicine 26, S1 (May 2011): s71—s72. http://dx.doi.org/10.1017/s1049023x11002445.
Full textBeaulieu, Richard, Susan M. Kools, Holly Powell Kennedy, and Janice Humphreys. "Young Adult Couples’ Decision Making Regarding Emergency Contraceptive Pills." Journal of Nursing Scholarship 43, no. 1 (January 14, 2011): 41–48. http://dx.doi.org/10.1111/j.1547-5069.2010.01381.x.
Full textWang, Li-Hsiang, Suzanne Goopy, Chun-Chih Lin, Alan Barnard, Chin-Yen Han, and Hsueh-Erh Liu. "The emergency patient's participation in medical decision-making." Journal of Clinical Nursing 25, no. 17-18 (May 1, 2016): 2550–58. http://dx.doi.org/10.1111/jocn.13296.
Full textPeate, Ian. "Nursing Knowledge and Practice: Foundations for decision making Maggie Mallik Nursing Knowledge and Practice: Foundations for decision making Carol Hall David Howard (Eds)Elsevier£29.99504pp97807020294000702029408." Emergency Nurse 17, no. 6 (October 6, 2009): 9. http://dx.doi.org/10.7748/en.17.6.9.s15.
Full textWillinsky, J. L., and I. Hyun. "P140: Emergency department decision-making for incapacitated and unrepresented patients: a comprehensive review of the literature." CJEM 18, S1 (May 2016): S124—S125. http://dx.doi.org/10.1017/cem.2016.314.
Full textDissertations / Theses on the topic "Emergency nursing Decision making"
Pugh, Dale M. "A phenomenological study of clinical decision making by flight nurse specialists in emergency situations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1999. https://ro.ecu.edu.au/theses/1249.
Full textMeeks-Sjostrom, Diana. "Clinical decision-making of nurses regarding elder abuse." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-04302008-123109/.
Full textTitle from file title page. Cecelia Gatson Grindel, committee chair; Anne Koci, Annette Bairan, committee members. Electronic text (144 p. : ill.) : digital, PDF file. Description based on contents viewed July 10, 2008. Includes bibliographical references (p. 82-86).
Fry, Margaret. "Triage Nursing Practice in Australian Emergency Departments 2002-2004: An Ethnography." University of Sydney, 2004. http://hdl.handle.net/2123/701.
Full textAlba, Barbara. "An Investigation of Intuition, Years of Worked Nursing Experience, and Emergency Nurses' Perceived Ethical Decision Making." Thesis, Adelphi University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10669616.
Full textThe purpose of this study was to explore the relationship between nurses' use of intuition, years of worked nursing experience, and nurses' perceived ethical decision making ability. Additionally, recognizing the relationship between the intuitive/experiential and the analytic/rational systems, this research extended beyond the intuitive/experiential system capturing analytic/rational thought. A sample of 182 nurses from the Emergency Nurses Association (ENA) was recruited for this investigation. A nonexperimental, correlational research design was used to examine the relationship between the variables. Intuition was measured using the Experiential scale of the Rational-Experiential Inventory (REI) and analytic/rational was measured using Rationality scale of the REI. Perceived ethical decision making ability was measured with the Clinical Decision Making in Nursing Scale (CDMNS) applied to an ethical dilemma within the participants own practice. Cognitive-Experiential Self-Theory (CEST) provided the theoretical framework for this study. According to CEST, information is processed by two independent, interactive conceptual systems; a preconscious intuitive/experiential system and a conscious analytic/rational system. These are thought to function parallel from yet interactively with each other. One-way ANOVAs, independent sample t-tests, Pearson's r correlation, and multiple regressions analysis provided the statistical methods used to answer nine research questions. A significant relationship was found between intuition and perceived ethical decision making (r = .252, p = .001). This contributes to a broader understanding of the different thought processes used by emergency nurses to make ethical decisions.
Kihlgren, Annica. "Older patients in transition : from home care towards emergency care /." Stockholm, 2005. http://diss.kib.ki.se/2005/91-7140-271-3/.
Full textWolf, Lisa Adams. "Testing and refinement of an integrated, ethically-driven environmental model of clinical decision-making in emergency settings." Thesis, Boston College, 2011. http://hdl.handle.net/2345/2224.
Full textThesis advisor: Pamela J. Grace
The purpose of the study was to explore the relationship between multiple variables within a model of critical thinking and moral reasoning that support and refine the elements that significantly correlate with accuracy and clinical decision-making. Background: Research to date has identified multiple factors that are integral to clinical decision-making. The interplay among suggested elements within the decision making process particular to the nurse, the patient, and the environment remain unknown. Determining the clinical usefulness and predictive capacity of an integrated ethically driven environmental model of decision making (IEDEM-CD) in emergency settings in facilitating accuracy in problem identification is critical to initial interventions and safe, cost effective, quality patient care outcomes. Extending the literature of accuracy and clinical decision making can inform utilization, determination of staffing ratios, and the development of evidence driven care models. Methodology: The study used a quantitative descriptive correlational design to examine the relationships between multiple variables within the IEDEM-CD model. A purposive sample of emergency nurses was recruited to participate in the study resulting in a sample size of 200, calculated to yield a power of 0.80, significance of .05, and a moderate effect size. The dependent variable, accuracy in clinical decision-making, was measured by scores on clinical vignettes. The independent variables of moral reasoning, perceived environment of care, age, gender, certification in emergency nursing, educational level, and years of experience in emergency nursing, were measures by the Defining Issues Test, version 2, the Revised Professional Practice Environment scale, and a demographic survey. These instruments were identified to test and refine the elements within the IEDEM-CD model. Data collection occurred via internet survey over a one month period. Rest's Defining Issues Test, version 2 (DIT-2), the Revised Professional Practice Environment tool (RPPE), clinical vignettes as well as a demographic survey were made available as an internet survey package using Qualtrics TM. Data from each participant was scored and entered into a PASW database. The analysis plan included bivariate correlation analysis using Pearson's product-moment correlation coefficients followed by chi square and multiple linear regression analysis. Findings: The elements as identified in the IEDEM-CD model supported moral reasoning and environment of care as factors significantly affecting accuracy in decision-making. Findings reported that in complex clinical situations, higher levels of moral reasoning significantly affected accuracy in problem identification. Attributes of the environment of care including teamwork, communication about patients, and control over practice also significantly affected nurses' critical cue recognition and selection of appropriate interventions. Study results supported the conceptualization of the IEDEM-CD model and its usefulness as a framework for predicting clinical decision making accuracy for emergency nurses in practice, with further implications in education, research and policy
Thesis (PhD) — Boston College, 2011
Submitted to: Boston College. Connell School of Nursing
Discipline: Nursing
Göransson, 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.
Full textSuccessful 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.
Duro, Carmen Lúcia Mottin. "Classificação de risco em serviços de urgência na perspectivas dos enfermeiros." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/98547.
Full textThe Risk Classification was deployed in emergency services in order to prioritize care, considering the severity of clinical status and need immediate attention from users. However, there are difficulties regarding the development of this activity by nurses. The objective of the study is to evaluate the triage performed at emergency services, from the nurses‘ perspective. To achieve this purpose was conducted exploratory study, quantitative measurement of opinion by the Delphi technique. The subjects answered interactive questionnaires, which circulated among the participants for three rounds, until reaching consensus. The board of experts was composed using the snowball method. Data were collected using a questionnaire available on SurveyMonkey®,an online electronic platform, and submitted to statistical analysis. It was established that consensus would be reached when 70% or more answers were equal. The findings show that triage is a tool that guides patient flow and rates clinical severity, thus contributing to reducing the waiting time for patients in severe clinical conditions, and permitting to reduce complications and sequels in emergency patients. Furthermore, the participants agreed that triage organizes the work of nurses and the emergency service. It was identified that the evaluation of the clinical condition by carefully listening to the patient‘s complaints was one of the actions that nurses used to classify the risk, and that the autonomy of this activity was considered one of its strengths. As to the necessary training to conducttriage, it was indicated that clinical knowledge should be the foundation for making decisions when establishing priorities in patient care. Professional experience was also considered important in triage to judge the priority of patient care, and intuition was pointed out as a facilitator. Nurses, therefore, must have communication skills as well as coping skills to deal with the patients‘ conflicts. Among the weaknesses, there was consensus of the disagreement that the triage environment promotes patient embracement and offers privacy. It was considered that nurse staffing per working shift is insufficient to perform triage at emergency services, in a way that the excessive demand of patients and the insufficient number of professionals can expose triage nurses to high work overload. There was also consensus regarding the disagreement of the availability of periodic training for nurses on how to use triage protocols/scales. Regarding the weaknessof the triage nurses‘ practice, it was indicated there was a lack of reevaluations of the patient‘s clinical condition during the waiting time, which could worsen the patient‘s clinical condition and harm the nurses‘ practice. In conclusion, nurses represent professional, cognitive and emotional support to triage. The findings indicate that qualification allows nurses to continue conducting triage at emergency services and will continue performing this activity in the future.
La clasificación de riesgo se desplegó en los servicios de emergencia con el fin de priorizar la atención, teniendo en cuenta la gravedad de la situación clínica y la necesidad de atención inmediata por parte de los usuarios. Sin embargo, existen dificultades en relación con el desarrollo de esta actividad por las enfermeras. El objetivo del estudio es evaluar la clasificación de riesgo los servicios de emergencia desde la perspectiva de las enfermeras. Para lograr este propósito se realizó un estudio exploratorio, la medición cuantitativa de la opinión por la técnica Delphi. Se realizaron tres rondas de aplicación de cuestionarios interactivos, que circularon entre los participantes hasta obtenerse consenso. Para conformar el panel de especialistas se utilizó la técnica de la bola de nieve. Datos recolectados mediante cuestionario ingresado en plataforma informática SurveyMonkey®, disponible online, sometidos a tratamiento estadístico. Fue estipulado como consenso un porcentaje igual o superior al 70% de respuestas. Los resultados obtenidos indicaron que la Clasificación de Riesgo es un dispositivo orientador de flujo de usuarios y de priorización de gravedad clínica, contribuyendo a disminuir el tiempo de espera de pacientes en condiciones clínicas graves y permitiendo la reducción de agravamientos y secuelas en pacientes de urgencia. Además, los participantes concordaron en que la clasificación de riesgo organiza el trabajo de los enfermeros y del servicio de urgencias. La evaluación del estado clínico mediante el desarrollo de escucha calificada de quejas de pacientes fue señalada como una de las acciones de enfermería en la clasificación de riesgo, considerándose la autonomía en el ejercicio de la actividad como una de las potencialidades. Respecto a la formación necesaria para realización de clasificación de riesgo, se indicó el conocimiento clínico como base para toma de decisiones en priorización de atención del paciente. La experiencia profesional en clasificación de riesgo fue también mencionada para determinar la prioridad de atención del paciente, la capacidad intuitiva resultó señalada como facilitadora. Para ello, los enfermeros necesitan poseer habilidades comunicacionales y de enfrentamiento a los conflictos de los pacientes. Entre las fragilidades, hubo consenso de discordancia sobre que el ámbito de clasificación de riesgo sea capaz de promover la recepción del paciente y favorecer su privacidad. Se consideró que el dimensionamiento numerario de enfermeros por turno laboral es insuficiente para la realización de clasificación de riesgo en los servicios de urgencias, dado que la demanda excesiva de pacientes y la escasez de exponen a los enfermeros de clasificación de riesgo a una carga laboral elevada. También hubo consenso de discordancia respecto a la disponibilización de capacitación periódica para los enfermeros sobre la utilización de protocolos/escalas de clasificación de riesgo. Acerca de la fragilidad de acciones de los enfermeros en la clasificación de riesgo, se indicó la falta de reevaluación de la condición clínica del paciente durante el tiempo de espera previo a la atención, lo cual puede agravar la condición clínica del mismo y perjudicar el ejercicio profesional del enfermero. Se concluye en que los enfermeros representan soporte profesional, cognitivo y emocional en la Clasificación de Riesgo. Los resultados señalan que la calificación permite que los enfermeros continúen actuando en la evaluación y clasificación del riesgo en los servicios de urgencias, y continuarán realizando dicha actividad en el futuro.
Danielsson, Mats. "Decision making in emergency management." Licentiate thesis, Luleå, 2002. http://epubl.luth.se/1402-1757/2002/25.
Full textTissington, Patrick. "Emergency decision making by fire commanders." Thesis, University of Aberdeen, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.484299.
Full textBooks on the topic "Emergency nursing Decision making"
Walton, Jane. Management in the acute ward. Salisbury, Wilts: Quay Books, 1996.
Find full textRaz, Manda, and Pourya Pouryahya, eds. Decision Making in Emergency Medicine. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0143-9.
Full textH, Husted James, ed. Ethical decision making in nursing. 2nd ed. St. Louis: Mosby, 1995.
Find full textDecision making in perioperative nursing. Toronto: B.C. Decker, 1987.
Find full textLoftis, Paula A. Decision making in gerontologic nursing. St. Louis: Mosby, 1993.
Find full textHusted, Gladys L. Bioethical decision making in nursing. New York: Springer Publishing Company, 2015.
Find full textHusted, Gladys L., James H. Husted, Carrie J. Scotto, and Kimberly M. Wolf, eds. Bioethical Decision Making in Nursing. New York, NY: Springer Publishing Company, 2015. http://dx.doi.org/10.1891/9780826171443.
Full textH, Husted James, ed. Ethical decision making in nursing. St. Louis: Mosby Year Book, 1991.
Find full textDecision making in pediatric nursing. Philadelphia, Pa: B.C. Decker, 1988.
Find full textDecision making in oncology nursing. Toronto: B.C. Decker, 1988.
Find full textBook chapters on the topic "Emergency nursing Decision making"
Cooke, Mary. "Clinical Decision Making." In Foundations of Adult Nursing, 179–204. 1 Oliver’s Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2015. http://dx.doi.org/10.4135/9781529715071.n8.
Full textSwallow, Veronica, Joanna Smith, and Trish Smith. "Clinical Decision Making." In Clinical Leadership in Nursing and Healthcare, 149–65. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119253785.ch8.
Full textNiven, Neil. "Decision Making and Communication." In The Psychology of Nursing Care, 315–41. London: Macmillan Education UK, 2006. http://dx.doi.org/10.1007/978-0-230-20944-2_10.
Full textLee, Xiu Qing. "Decision Fatigue Effect." In Decision Making in Emergency Medicine, 103–10. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0143-9_17.
Full textSchrijnen, Laurens M. "Decision Making for Emergency Response." In Chemical Spills and Emergency Management at Sea, 363–69. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-0887-1_31.
Full textSchrijnen, Laurens M. "Decision Making for Emergency Response." In Chemical Spills and Emergency Management at Sea, 363–69. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-7790-0_31.
Full textMashlan, Wendy, Julie Hayes, Sue Wakefield-Newberry, Pippa Hutchings, Louise Roberts, Shiree Bissmire, Simon Williams, Ceri Thomas, and Jane Whittingham. "Advanced Assessment and Clinical Decision Making." In Advanced Nursing Practice, 139–67. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-0-230-37812-4_6.
Full textArmstrong, Alan E. "Virtue-Based Moral Decision-Making in Nursing Practice." In Nursing Ethics, 125–56. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230206458_8.
Full textGurman, G. M. "Decision-Making during Anesthesia." In Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E., 795–807. Milano: Springer Milan, 2002. http://dx.doi.org/10.1007/978-88-470-2099-3_68.
Full textMichalsen, Andrej, and Hanne Irene Jensen. "Interprofessional Shared Decision-Making." In Compelling Ethical Challenges in Critical Care and Emergency Medicine, 57–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43127-3_6.
Full textConference papers on the topic "Emergency nursing Decision making"
Dilmaghani, Raheleh B., and Ramesh R. Rao. "Supervisory decision making in emergency response application." In 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2013). IEEE, 2013. http://dx.doi.org/10.1109/percomw.2013.6529557.
Full textMatsuzaki, Shuichi, Subha Fernando, and Ashu Marasinghe. "Decision Making Model Supporting Emergency Medical Care." In 2009 International Conference on Biometrics and Kansei Engineering, ICBAKE. IEEE, 2009. http://dx.doi.org/10.1109/icbake.2009.25.
Full textSun, Qingfeng, Fansen Kong, Ling Zhang, and Xiangwen Dang. "Study on emergency distribution route decision making." In 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC 2011). IEEE, 2011. http://dx.doi.org/10.1109/mec.2011.6025470.
Full textQi, Chao, and Hongwei Wang. "Emergency response decision-making based on HTN planning." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852835.
Full textLiang Liu, Yongzhi Wei, Yan Shen, and Xiaoming Wang. "Scenario-based research on unconventional emergency decision-making." In 2010 IEEE International Conference on Emergency Management and Management Sciences (ICEMMS). IEEE, 2010. http://dx.doi.org/10.1109/icemms.2010.5563386.
Full textTang, Hong, and Lindu Zhao. "Knowledge Management System of Intercity Emergency Decision Making." In 2009 WRI World Congress on Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.232.
Full textHendricks, Joyce, Vicki Cope, and Deborah Sundin. "Factors Influencing Medical Decision- Making For Seriously Ill Patients In The Acute Care Hospital." In Annual Worldwide Nursing Conference (WNC 2017). Global Science & Technology Forum (GSTF), 2017. http://dx.doi.org/10.5176/2315-4330_wnc17.130.
Full textZhong, Qiuyan, and Jian Du. "Research on Multi-Agent Coordination in Emergency Decision-Making." In 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iceee.2010.5660296.
Full textChen, Jiahui, Xingtong Ge, WeiChao Li, and Ling Peng. "Construction of Spatiotemporal Knowledge Graph for Emergency Decision Making." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9553867.
Full textZhang, Julian. "The architecture of decision-making system of emergency operations." In International conference on Management Innovation and Information Technology. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/miit130621.
Full textReports on the topic "Emergency nursing Decision making"
Newman-Toker, David E., Susan M. Peterson, Shervin Badihian, Ahmed Hassoon, Najlla Nassery, Donna Parizadeh, Lisa M. Wilson, et al. Diagnostic Errors in the Emergency Department: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), December 2022. http://dx.doi.org/10.23970/ahrqepccer258.
Full textHess, Erik, Judd Hollander, Jason Schaffer, Jeffrey Kline, Carlos Torres, Deborah Diercks, Russell Jones, et al. Shared Decision Making in the Emergency Department: The Chest Pain Choice Trial. Patient-Centered Outcomes Research Institute (PCORI), March 2018. http://dx.doi.org/10.25302/3.2018.cer.952.
Full textVingre, Anete, Peter Kolarz, and Billy Bryan. On your marks, get set, fund! Rapid responses to the Covid-19 pandemic. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.538.
Full textHubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.
Full textJohnson, Corey, Colton James, Sarah Traughber, and Charles Walker. Postoperative Nausea and Vomiting Implications in Neostigmine versus Sugammadex. University of Tennessee Health Science Center, July 2021. http://dx.doi.org/10.21007/con.dnp.2021.0005.
Full textQuestioning hierarchies: Senior leaders’ views on how global civil services changed during the pandemic. People in Government Lab, July 2022. http://dx.doi.org/10.35489/bsg-peoplegov-rp_2022/003.
Full text