Relevant bibliographies by topics / Emergency Department waiting room

Academic literature on the topic 'Emergency Department waiting room'

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Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Emergency Department waiting room"

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Holm, Lydia, and Laura Fitzmaurice. "Emergency Department Waiting Room Stress." Pediatric Emergency Care 24, no. 12 (December 2008): 836–38. http://dx.doi.org/10.1097/pec.0b013e31818ea04c.

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Chan, Y. Y., L. D. Richardson, S. B. Zaets, R. Nagurka, M. B. Brimacombe, and S. R. Levine. "389: Stroke Education in the Emergency Department Waiting Room." Annals of Emergency Medicine 52, no. 4 (October 2008): S161. http://dx.doi.org/10.1016/j.annemergmed.2008.06.416.

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Yvonne Chan, Yu-Feng, Roxanne Nagurka, Lynne D. Richardson, Sergey B. Zaets, Michael B. Brimacombe, and Steven R. Levine. "Effectiveness of Stroke Education in the Emergency Department Waiting Room." Journal of Stroke and Cerebrovascular Diseases 19, no. 3 (May 2010): 209–15. http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2009.04.009.

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Innes, Kelli, Doug Elliott, Virginia Plummer, and Debra Jackson. "Emergency department waiting room nurses in practice: An observational study." Journal of Clinical Nursing 27, no. 7-8 (March 23, 2018): e1402-e1411. http://dx.doi.org/10.1111/jocn.14240.

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Innes, Kelli, Debra Jackson, Virginia Plummer, and Doug Elliott. "Emergency department waiting room nurse role: A key informant perspective." Australasian Emergency Nursing Journal 20, no. 1 (February 2017): 6–11. http://dx.doi.org/10.1016/j.aenj.2016.12.002.

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Papa, Linda, David C. Seaberg, Elizabeth Rees, Kevin Ferguson, Richard Stair, Bruce Goldfeder, and David Meurer. "Does a waiting room video about what to expect during an emergency department visit improve patient satisfaction?" CJEM 10, no. 04 (July 2008): 347–54. http://dx.doi.org/10.1017/s1481803500010356.

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ABSTRACT Objective: We created an instructional waiting room video that explained what patients should expect during their emergency department (ED) visit and sought to determine whether preparing patients using this video would 1) improve satisfaction, 2) decrease perceived waiting room times and 3) increase calls to an outpatient referral line in an ambulatory population. Methods: This serial cross-sectional study took place over a period of 2 months before (control) and 2 months after the introduction of an educational waiting room video that described a typical patient visit to our ED. We enrolled a convenience sample of adult patients or parents of pediatric patients who were triaged to the ED waiting room; a research assistant distributed and collected the surveys as patients were being discharged after treatment. Subjects were excluded if they were admitted. The primary outcome was overall satisfaction measured on a 5-point Likert scale, and secondary outcomes included perceived waiting room time, and the number of outpatient referral-line calls. Results: There were 1132 subjects surveyed: 551 prevideo and 581 postvideo. The mean age was 38 years (standard deviation [SD] 18), 61% were female and the mean ED length of stay was 5.9 hours (SD 3.6). Satisfaction scores were significantly higher postvideo, with 65% of participants ranking their visit as either “excellent” or “very good,” compared with 58.1% in the prevideo group (p = 0.019); however, perceived waiting room time was not significantly different between the groups (p = 0.24). Patient calls to our specialty outpatient clinic referral line increased from 1.5 per month (95% confidence interval [CI] 0.58–2.42) to 4.5 per month (95% CI 1.19–7.18) (p = 0.032). After adjusting for possible covariates, the most significant determinants of overall satisfaction were perceived waiting room time (odds ratio [OR] 0.41, 95% CI 0.34–0.48) and having seen the ED waiting room video (OR 1.41, 95% CI 1.06–1.86). Conclusion: Preparing patients for their ED experience by describing the ED process of care through a waiting room video can improve ED patient satisfaction and the knowledge of outpatient clinic resources in an ambulatory population. Future studies should research the implementation of this educational intervention in a randomized fashion.
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Loso, Jennifer M., Stephanie L. Filipp, Matthew J. Gurka, and Michael K. Davis. "Using Queue Theory and Load-Leveling Principles to Identify a Simple Metric for Resource Planning in a Pediatric Emergency Department." Global Pediatric Health 8 (January 2021): 2333794X2094466. http://dx.doi.org/10.1177/2333794x20944665.

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Increased waiting time in pediatric emergency departments is a well-recognized and complex problem in a resource-limited US health care system. Efforts to reduce emergency department wait times include modeling arrival rates, acuity, process flow, and human resource requirements. The aim of this study was to investigate queue theory and load-leveling principles to model arrival rates and to identify a simple metric for assisting with determination of optimal physical space and human resource requirements. We discovered that pediatric emergency department arrival rates vary based on time of day, day of the week, and month of the year in a predictable pattern and that the hourly change in pediatric emergency department waiting room census may be useful as a simple metric to identify target times for shifting resources to better match supply and demand at no additional cost.
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Smalley, Courtney M., Erin L. Simon, Stephen W. Meldon, McKinsey R. Muir, Isaac Briskin, Steven Crane, Fernando Delgado, Bradford L. Borden, and Baruch S. Fertel. "The impact of hospital boarding on the emergency department waiting room." Journal of the American College of Emergency Physicians Open 1, no. 5 (May 23, 2020): 1052–59. http://dx.doi.org/10.1002/emp2.12100.

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Schabowski, S. L., J. Kirchoff, S. Hansen, M. Anderson, and R. R. Roberts. "Testing a Model for an Emergency Department Waiting Room Educational Intervention." Annals of Emergency Medicine 46, no. 3 (September 2005): 25. http://dx.doi.org/10.1016/j.annemergmed.2005.06.097.

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Cabral, Catiane Zanin, Juliana Beirão de Almeida Guaragna, Fernanda Chaves Amantéa, Paulo Guilherme Markus Lopes, Alessandro Cumaru Pasqualotto, Claudia Ramos Rhoden, and Sérgio Luís Amantéa. "Distribution of airborne respiratory pathogens in pediatric emergency department waiting room." Pediatric Pulmonology 56, no. 8 (June 29, 2021): 2724–28. http://dx.doi.org/10.1002/ppul.25469.

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Dissertations / Theses on the topic "Emergency Department waiting room"

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Eckerberg, Maria. "Patient self-registration : Design of a digital tool for an emergency department." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140157.

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In this bachelor thesis, a prototype of a digital tool is designed, aimed at self-registering patient data in an emergency ward. Normally, patients not arriving by ambulance are treated in the order they enter the waiting room. Nurses performing the first examination—a triage—must ask the patient about their identity, previous medical history and similar questions, and enter this data into a new treatment case in the healthcare information system. It has been suggested that having the patient enter this data themselves would be beneficial, allowing nurses to concentrate on the medical issues. After gathering and analyzing data from observations and from interviews with the staff at a Swedish hospital, a prototype of a digital tool was designed, where patients step-by-step could enter the required data in the waiting room, thus saving valuable time in the triage. Benefits for the patient include receiving feedback about the number of persons ahead in line. The prototype was received favorably by test persons and by the staff, indicating that it could work as a model for a product to be put into work use.
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Van, Dreven Amber, and res cand@acu edu au. "Waiting: a critical experience." Australian Catholic University. School of Nursing, 2001. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp12.25072005.

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This study explores the experiences of relatives waiting. Often relatives wait for considerably long periods, especially in critical care areas, whilst their loved one, whose health status is unknown, receives care. To explore these experiences and to understand the symbolic meaning behind the participants’ stories, a grounded theory approach was utilised which is firmly rooted in the sociological theory of symbolic interactionism. A qualitative approach was employed in order to yield a rich description of the human experience often not found in quantitative studies (Jamerson, Scheibmeir, Bott, Crighton, Hinton and Kuckelman, 1996, p. 468). Similarly, the use of feminist principles to guide this study has facilitated a greater understanding of such issues as gender roles, language, power and hierarchy. Using grounded theory methodology, audio-taped interviews were conducted with six female relatives who were recruited using theoretical sampling. Simultaneous recruitment, data collection, analysis and literature review took place, as advocated and outlined by Barney Glaser and Anselm Strauss (1967). The overarching core category discovered using this approach which epitomises the waiting experience, is the balancing of both positive and negative aspects of the four codes identified. These four codes are -mothering, trust, flustered anxiety and institutional and medical power. Each code had negative aspects, such as being denied the felt need to mother the critically ill loved one, being asked to entrust the health of a loved one to people that relatives had never met, feelings of fluster and anxiety, and a perception that they would interfere with medial care if they were to be involved in their loved one’s care. Conversely, each code could potentially have a positive aspect, such as being involved in the care of the loved one, feelings of relief once the care of the loved one was entrusted to ‘professional’ health care providers, affiliating with other relatives who were waiting in similar circumstances, and receiving frequent information from staff. A final model was produced that illustrates the balance that many relatives aspire to when waiting in the Emergency Department waiting room. If the balance tips in favour of the negative aspects of the codes, a negative impact on the relative’s feelings of well being can result.
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Burström, Lena, Bengt Starrin, Marie-Louise Engström, and Hans Thulesius. "Waiting management at the emergency department - a grounded theory study." Uppsala universitet, Centrum för klinisk forskning, Västerås, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200118.

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Background: An emergency department (ED) should offer timely care for acutely ill or injured persons that require the attention of specialized nurses and physicians. This study was aimed at exploring what is actually going on at an ED. Methods: Qualitative data was collected 2009 to 2011 at one Swedish ED (ED1) with 53.000 yearly visits serving a population of 251.000. Constant comparative analysis according to classic grounded theory was applied to both focus group interviews with ED1 staff, participant observation data, and literature data. Quantitative data from ED1 and two other Swedish EDs were later analyzed and compared with the qualitative data. Results: The main driver of the ED staff in this study was to reduce non-acceptable waiting. Signs of non-acceptable waiting are physical densification, contact seeking, and the emergence of critical situations. The staff reacts with frustration, shame, and eventually resignation when they cannot reduce non-acceptable waiting. Waiting management resolves the problems and is done either by reducing actual waiting time by increasing throughput of patient flow through structure pushing and shuffling around patients, or by changing the experience of waiting by calming patients and feinting maneuvers to cover up. Conclusion: To manage non-acceptable waiting is a driving force behind much of the staff behavior at an ED. Waiting management is done either by increasing throughput of patient flow or by changing the waiting experience.
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Moreira, Kim-Sun. "Perfecting Patient Bed Flow in the Emergency Department." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4010.

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Emergency department (ED) crowding is a serious problem in the United States. Crowding in the ED can result in delays that may negatively affect patient outcomes and increase the cost of care. The purpose of this project was to understand strategies that can help to improve patient flow in the ED. The plan-to-do-study act model for process improvement influenced this project. Secondary data were collected for a 2-month period to determine the impact of workflow processes (patient boarding time in ED, surge capacity and workflow processes including the impact of ancillary departments) on the movement of admitted patients from the ED to the inpatient units. Descriptive statistics were used to provide numerical summaries, frequencies, and percentages for the identified variables. The findings were consistent with an increased length of stay and longer ED boarding of patients due to the workflow process. Resulting recommendations included standardized calls for report on admitted patients within 30 minutes, timely discharge of patients, collaboration with attending physicians to facilitate evaluation of patients and orders, modification of staffing roles to ensure adequate staff, and identification of staff transporters to ensure timely transport of patients to their rooms. The findings helped to inform the development of a Bed Utilization Policy. The policy has been shared with the organization with the recommendation to implement and further evaluate to help manage bed flow. Development of utilization strategies that contribute to facilitating throughput will promote positive social change by providing nurses with the tools to help prepare for and respond to unexpected increases in patient volume. Improving efficiency with flow can help to improve patient care, timeliness, and safety.
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Patvivatsiri, Lisa. "A Simulation-Based Approach for Optimal Nurse Scheduling in an Emergency Department." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/43867.

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The purpose of this research is to determine an appropriate nurse staffing strategy for the Intermediate Care Unit (ICU) and the Critical Care Unit (CCU) of the Emergency Department at York Hospital in York, Pennsylvania. This strategy must adhere to certain administrative policies while keeping patient waiting times within allowable limits. Determining the proper number of resources in an emergency department is a difficult problem because while assistance must be provided without delay at any time, the available resources are restricted by the hospital budget. This research involves simulating the operations of the Emergency Department at York Hospital using the software package Arena 7.0 to evaluate how the system is impacted by various nurse staffing strategies. A microcomputer-based decision support system (DSS) for nurse scheduling that was first developed by Sitompul in 1991 has been implemented using Turbo Pascal 6.0 to generate twenty possible nurse staffing plans. The best alternative staffing plan has been evaluated by the simulation model to determine its effect on waiting times for patients. Specifically, patients are divided into five ESI levels, where ESI-1 patients are the most serious and ESI-5 patients are the least serious, and waiting times are provided for each patient type. While the DSS approach is useful in generating specific working schedules that are acceptable to the nurses' requirements, it is limited when developing an overall staffing plan. Specifically, the DSS requires a user-defined ratio of nurses working the various shifts, and this ratio must remain constant throughout each month even if patient arrival rates are known to be time dependent. As an alternative approach, OptQuest for Arena was employed to search for an overall nurse staffing plan. After providing Arena with 50 DSS-generated schedules that satisfy the nurses' requirements, OptQuest was used to determine the best schedule for each nurse to follow in order to minimize the average waiting time in the system for patients. Although the average waiting time obtained by the OptQuest staffing plan decreased from the current staffing plan for all patient types, a paired-t comparison determined using Arena's Output Analyzer indicated no statistical difference (at the 95% confidence level) between the DSS and OptQuest scenarios, in terms of the average waiting time for ESI-1 and ESI-2 patients. Further analysis indicated that a system bottleneck occurred in the triage area of the emergency department during evening hours. After adding one additional triage nurse in the evening shift, the OptQuest-generated staffing plan was re-evaluated. The results indicate that the suggested staffing plan reduced the average waiting time in the current staffing plan by 34.33%, 32.73%, 47.87%, 54.92%, and 52.41% for ESI-1, ESI-2, ESI-3, ESI-4, and ESI-5 patients, respectively. In addition, the average waiting time of ESI-1, ESI-2, ESI-3, ESI-4, and ESI-5 patients for the suggested staffing plan was 19.27%, 19.36%, 39.37%, 48.55%, and 46.64%, respectively, less than for the staffing plan determined when using the DSS approach alone.
Master of Science
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Hogan, Kerry-Anne. "Caring for adult patients who die in the emergency department: Reflections of emergency room nurses." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28088.

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Background. Emergency room nurses work in an area in which the workload is unpredictable and chaotic. Treatment measures are usually aggressive and the goal of care in the emergency department is to restore physiological stability in a sick or injured person. As treatment measures usually occur quickly and nurses care for many patients throughout their shifts, there is often a lack of time to establish relationships with patients and/or family members. In a situation when treatment is needed immediately, there may not be enough time to discuss advanced directives with patients and/or family members. Although most patients are seen, treated and sent home or are admitted and recover, more than 7000 lives end in Canadian emergency departments each year (CIHI, 2006). Death in an emergency department is almost always considered a tragic event, regardless of whether the event was unexpected or expected. This view contrasts with the idealistic view of death occurring in a hospice or at home, free of pain and suffering and surrounded by loved ones. In an emergency department, treatment of critical illnesses and/or injuries begins immediately, leaving nurses or other members of the team little time to discuss advance directives or establish rapport with patients and/or family members. Purpose. The purpose of this research study was to improve our understanding of the experience of emergency room nurses when caring for an adult who dies in the emergency department.
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Astralaga, Ingrid. "Emergency Room Nurse Perceptions of Emotional Intelligence." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5970.

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The delivery of quality care has been a priority for the health care industry in the United States. Researchers have established positive correlations between the levels of emotional intelligence of registered nurses and their clinical performances. However, new evidence suggests the need to enhance the use of emotional intelligence (EI) in high-risk clinical units. With the intent to understand the use of EI, a phenomenological research approach was used to identify the emergency room nurse's understanding of EI. The Four-branch Model of Emotional Intelligence was used as the theoretical framework, while the research question identified the emergency room nurse's perception of EI. Eight emergency room nurses from two facilities participated in the study. The inclusion criteria consisted of emergency room nurses with one to ten years of experience, nurses that worked thirty-six hours or more per week, and were not in leadership roles. The data were collected through face-to-face interview sessions and analyzed using the Colaizzi's Method of Data Analysis. All participants reported unfamiliarity with the concept of EI. Nevertheless, evidence that indicated the presence of all elements of this concept such as the ability to perceive emotions, understand emotions, use emotions to enhance reasoning, and manage emotions, were apparent in the stories shared by the nurses. The results of the study indicated a potential influence toward positive social change at the organizational and professional level. The implementation of educational activities to improve the use of this concept and the modification of current health care policies to incorporate emotional intelligence as clinical competencies are actions that can influence positive social change.
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Li, Andrea (Andrea Shao-Yin). "Waveform-to-patient matching across room transfers in the emergency department." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119739.

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Thesis: M. Eng. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 61-62).
In the emergency department (ED), patients are often continuously monitored for physiologic deterioration. Signals used include electrocardiograms (ECGs), blood pressure waveforms, and respiratory waveforms. Due to the fast-paced and ambulatory nature of care in the ED, patient location is not always synchronized with waveform collection. The aim of our work is to link disparate waveforms belonging to the same patient. We utilize approximate admission and discharge times available from the ED administration database to delineate patient stays. We then use waveform-derived features of the ECG to link together sequential signals which are separated by variable time delays. The ultimate goal is to construct an openly available database of ED records with linked waveforms to stimulate research in emergency medicine.
by Andrea Li.
M. Eng. in Computer Science
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Burström, Lena. "Patient Safety in the Emergency Department : Culture, Waiting, and Outcomes of Efficiency and Quality." Doctoral thesis, Uppsala universitet, Institutionen för kirurgiska vetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-223987.

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The overall aim of this thesis was to investigate patient safety in the emergency department (ED) and to determine whether this varies according to patient safety culture, waiting, and outcomes of efficiency and quality variables. I: Patient safety culture was described in the EDs of two different hospitals before and after a quality improvement project. The questionnaire “Hospital Survey on Patient Safety Culture” was used to investigate the patient safety culture. The main finding was that the staff at both hospitals scored more positively in the dimension Team-work within hospital after implementing a new work model aimed at improving patient flow and patient safety in the ED. Otherwise, we found only modest improvements. II: Grounded theory was used to explore what happens in the ED from the staff perspective. Their main concern was reducing patients’ non-acceptable waiting time. Management of waiting was improved either by increasing the throughput of patient flow by structure pushing and by shuffling patients, or by changing the experience of waiting by calming patients and by feinting to cover up. III: Three Swedish EDs with different triage models were compared in terms of efficiency and quality. The median length of stay was 158 minutes for physician-led team triage compared with 243 and 197 minutes for nurse–emergency physician and nurse–junior physician triage, respectively. Quality indicators (i.e., patients leaving before treatment was completed, the rate of unscheduled return within 24 and 72 hours, and mortality rate within 7 and 30 days) improved under the physician-led team triage. IV: Efficiency and quality variables were compared from before (2008) to after (2012) a reorganization with a shift of triage model at a single ED. Time from registration to physician decreased by 47 minutes, and the length of stay decreased by 34 minutes. Several quality measures differed between the two years, in favour of 2012. Patients leaving before treatment was completed, unscheduled return within 24 and 72 hours, and mortality rate within 7 and 30 days all improved despite the reduced admission rate. In conclusion, the studies underscore the need to improve patient safety in the ED. It is important to the patient safety culture to reduce patient waiting because it dynamically affects both patients and staff. Physician-led team triage may be a suitable model for reducing patient waiting time and increasing patient safety.
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Egri, Erica. "USING SURROGATE MEASURES TO PREDICT PATIENT SATISFACTION IN THE EMERGENCY DEPARTMENT." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3980.

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With healthcare organizations struggling to remain competitive and financially stable in a market where minimizing costs is a priority, hospital administrators feel the sense of urgency when it comes to keeping patients satisfied with services in order to expand volume and market share. The Emergency Department is considered the front door of a healthcare organization, and keeping its visitors satisfied in order to guarantee a future visit or a referral to a friend or family member is a must. While patient input on the services received in a healthcare facility is essential to improving quality of care, the costs associated with measuring, collecting and analyzing their feedback are remarkable. This research focuses on developing a linear regression model to predict patient satisfaction in the ED using surrogate measures related to patient's socio-demographic characteristics and visit characteristics. With a model of this kind, healthcare administrators can potentially eliminate survey costs while still being able to determine where the hospital stands in the eyes of the patient. Three modeling approaches were used to develop a multiple regression equation. Modeling approach 1 used monthly patient satisfaction scores as the dependent variable collected by a third-party survey organization. The goal of this model was to predict monthly patient satisfaction scores. Modeling approach 2 used patient satisfaction scores collected by the discharge registrar prior to the patient leaving the ED. The goal of this model was to predict patient satisfaction scores on a patient-by-patient basis. Modeling approach 3 used patient satisfaction scores collected by a third-party survey organization. The goal of this modeling approach was to predict patient satisfaction scores on a patient-by-patient basis. Each modeling approach developed in this study used its own survey tool. Though this study had limitations when it came to developing the models and validating the findings, results are very promising. Analysis shows that predicting average patient satisfaction scores on a monthly basis gives the most accurate results, with socio-demographic characteristics and visit characteristics explaining 96% of variation in monthly average patient satisfaction scores. Other model indicators, such as normality of residuals, predicted error, mean square error, and predicted R-square show that the model fits the data very well and has strong predictive ability. Models that attempted to predict patient satisfaction on a patient-by-patient basis appeared to be ineffective, with very large predicted errors and prediction intervals and low predictive ability.
Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering PhD
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Books on the topic "Emergency Department waiting room"

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Rossip, Martin. Continuous monitoring and desplay of emergency department patient flow and waiting times: A method to reduce overall length of stay. [New Haven, Conn: s.n.], 1996.

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Virginia. Dept. of Medical Assistance Services. Emergency room use by Virginia's fee-for-service Medicaid recipients: Report of the Department of Medical Assistance Services to the Governor and the General Assembly of Virginia. Richmond, Va: Commonwealth of Virginia, 2004.

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New Jersey. Legislature. General Assembly. Select Committee on Solid Waste Disposal. Public meeting before Assembly Select Committee on Solid Waste Disposal, Assembly Bill 3892: Authorizes DEP to implement emergency plans on behalf of counties during a declared state of solid waste emergency : March 30, 1987, Room 373, State House Annex, Trenton, New Jersey. [Trenton, N.J.]: The Committee, 1987.

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New Jersey. Legislature. General Assembly. Housing Committee. Public hearing before Assembly Housing Committee: Testimony and discussion relative to proposed rules of the Department of Community Affairs concerning maintenance and operation standards of emergency shelters for the homeless (Proposal No. PRN 1988-65; 20 N.J.R. 341) : April 18, 1988, Room 373, State House Annex, Trenton, New Jersey. Trenton, N.J. (State House Annex, CN 068, Trenton 08625): The Unit, 1988.

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Nicks, Peter. The waiting room. 2013.

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Grauer and DX/RX. Acls Case Studies: Emergency Room Department. Mosby-Year Book, 1999.

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Ronen, Boaz, Joseph S. Pliskin, Shimeon Pass, and Donald M. Berwick. The Hospital and Clinic Improvement Handbook. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190843458.001.0001.

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The Hospital and Clinic Improvement Handbook is about doing more using existing resources. For example, achieving more throughput in the operating rooms, reducing waiting times at the emergency department, and improving clinical quality. This is done using the well-established Lean techniques together with the breakthrough philosophies and techniques of the theory of constraints (TOC). These methods and their underlying tools are put together with techniques and methodologies implemented by the authors in dozens of healthcare organizations. The tools include the complete kit concept, the Pareto methodology, the focusing table, and the focusing matrix. The book introduces simple tools that can be implemented quite easily in any hospital or clinic. It also focuses on the implementation process using tools like the 3–1–1 model that directs managers where to focus their limited time resources to best improve the performance of their organizations. Finally, the book introduces effective yet simple performance measures and prescribes the process of ongoing improvement.
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Canadian Institute for Health Information., ed. Understanding emergency department wait times: Who is using emergency departments and how long are they waiting? Ottawa: Canadian Institute for Health Information, 2005.

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Canadian Institute for Health Information., ed. Understanding emergency department wait times: Access to inpatient beds and patient flow. Ottawa: Canadian Institute for Health Information = Institut canadien d'information sur la santé, 2007.

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Mahmoud, Mohamed, Robert S. Holzman, and Keira P. Mason. Pediatric Anesthesia Outside of the Operating Room. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190495756.003.0027.

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This textbook provides an important tool to cover major aspects of anesthesia care in non–operating room anesthesia (NORA) locations. It outlines perioperative concerns for the most commonly performed procedures in NORA settings. An overview of various anesthesia delivery techniques and tools required to optimize the patient before endoscopy, cardiac, and neuroradiology procedures are provided. The text also covers specialized situations, including a pediatric update on anesthesia/sedation strategies for dental procedures, electroconvulsive therapy, cosmetic procedures, ophthalmologic surgery, procedures in the emergency department, and infertility treatment. Practical recommendations based on current literature and author experience are presented, and current practice guidelines are reviewed.
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Book chapters on the topic "Emergency Department waiting room"

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Vinca, Nancy, John Barrett, and Christopher J. D. Tems. "Procedural Sedation in the Emergency Department." In Out of Operating Room Anesthesia, 305–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39150-2_22.

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Rebecca, Fink. "Risk Assessments in the Emergency Room." In Big Book of Emergency Department Psychiatry, 91–103. Boca Raton : Taylor & Francis, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2017. http://dx.doi.org/10.1201/b21955-6.

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Tejani, Nizar, Danielle A. S. Holmes, and Nooruddin R. Tejani. "Pediatric Patient Encounter in the Emergency Department." In Pediatric Ophthalmology in the Emergency Room, 3–13. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49950-1_1.

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Kennedy, Robert M. "Sedation in the Emergency Department: A Complex and Multifactorial Challenge." In Pediatric Sedation Outside of the Operating Room, 263–331. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-09714-5_15.

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Kennedy, Robert M. "Sedation in the Emergency Department: A Complex and Multifactorial Challenge." In Pediatric Sedation Outside of the Operating Room, 367–422. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1390-9_19.

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Kennedy, Robert M. "Sedation in the Emergency Department: A Complex and Multifactorial Challenge." In Pediatric Sedation Outside of the Operating Room, 413–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58406-1_22.

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Aftab, Saima, Nathan W. Mick, and Joshua Nagler. "Unanticipated Airway Emergencies: Resuscitation in the Delivery Room and Emergency Department." In Disorders of the Neonatal Airway, 307–26. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1610-8_28.

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Pereira, Sónia, Filipe Portela, Manuel F. Santos, José Machado, and António Abelha. "Predicting Pre-triage Waiting Time in a Maternity Emergency Room Through Data Mining." In Smart Health, 105–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29175-8_10.

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Vazquez-Ibarra, Jose Antonio, Rodolfo Rafael Medina-Ramirez, and Irma Jimenez-Saucedo. "Emergency Department Logistic Optimization Using Design of Experiments." In Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations, 293–308. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9779-9.ch015.

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Public healthcare services face a growing demand and Emergency department is the main entrance to these services. Waiting times at Emergency departments are increasing at risky levels, causing that people die in wait rooms due to a lack of staff to serve timely every patient. Present chapter describes one research project conducted in a mexican public hospital which was in the process of adopting a triage systems in order to reach the goal of a maximum wait time in department. Design of experiments is the tool proposed to analyze waiting time factors and define the best levels to reduce the response variable value.
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Wang, Audrey P., David Pryce, and Phillip Gough. "Getting to the Right Patient at the Right Time: An Interoperable Mobile App to Track the ED Journey in Hospital." In Healthier Lives, Digitally Enabled. IOS Press, 2021. http://dx.doi.org/10.3233/shti210015.

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The current legacy ICT framework structures in healthcare are often siloed and do not allow information to flow easily between business analytics and clinical systems, affecting critical decision making.Western Sydney Local Health District (WSLHD) has numerous electronic database systems for business analytics including tracking individual patients waiting for treatment in the emergency department (ED). Administrators of hospital business data report ED performance measures in a weekly static feedback report to clinical and executive staff due to current legacy systems and manual resource allocation processes. The remit of the project was to prototype a system that could integrate data sources from the current QlikSense Dashboard into an interoperable mobile app with the future intention of direct impact on clinical care decision making for the emergency department. A series of meetings between business analytics unit and clinical staff were used to inform a set of requirements for information workflow systems integration to be used on the project. Stimulated patient data that matched typical data feeds from the system was used to develop a prototype interoperable HL7 messaging mobile app that would report waiting patients in their triage categories in near real time. This working protype with synthetic scenarios and data will inform a future deployable production system with information for the patient journey from the ED waiting room into available hospital beds. As most applications are either designed for business analytics or clinical workflows, integrating information data sources into one mobile application that could meet the needs of both clinical and business performance was novel and integral. This proof of concept project successfully integrated the information systems necessary for both purposes and informs future requirements for an interoperable and deployable cross-platform mobile app.
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Conference papers on the topic "Emergency Department waiting room"

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Yoon, JungKyoon, and Marieke Sonneveld. "Anxiety of patients in the waiting room of the emergency department." In the fourth international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1709886.1709946.

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Abd al Hadi, Samah Ahmad, Amal Abousaad, and Mujahed Shraim. "Improving Waiting Times in Hand Surgery Clinic at Rumailah Hospital, Qatar." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0183.

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Background: The quality and efficiency of healthcare delivery are key drivers that influence hospital quality as well as patient satisfaction. The patient waiting time is the period of time that passes between patients first seeking medical treatment from the healthcare system and their admittance for consultation and diagnosis. The hand surgery clinic at Rumailah Hospital (RH) in Qatar has seen that only 12% of new patients who had been referred for urgent treatment from the accident and emergency department had received an appointment within 14 days. Aim: To increase the percentage of patients with new, urgent referrals to the hand surgery clinic at Rumailah Hospital from the accident and emergency department to be seen within 14 days from the current 12% to 20% by the end of October 2019 and from 20% to 60% by the end of April 2020. Methodology: This is a Quality improvement Project used the Institute for Healthcare Improvement model for improvement, the team used the root cause analysis to identify the bottleneck in the process, the Plan- Do - Study - Act (PDSA) cycles facilitates testing the selected changes: increase capacity, triage acciedent and emergency referrals, and clear the back log. Results: After implementing the changes, we observed increase in the proportion of patients who received appointments within 14 days of the referral, from 22% in July to 26% in August and 40% in September and October, 2019. Conclusion: The project team did extensive research in understanding the complex process of OPD appointment and clinic consultation. The project team tested three change ideas that yielded to manage the percentage of patients who received appointments within 14 days. The team is planning to test the next change idea to improve the triaging process by implementing electronic triaging, which is expected to reduce the waiting time for an appointment in the clinic.
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Medina, Rodolfo, Antonio Vazquez, Hector A. Juarez, and Ricardo A. Gonzalez. "Mexican Public Hospitals: A model for improving emergency room waiting times." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736218.

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Curtis, Dorothy, Eugene Shih, Jason Waterman, John Guttag, Jacob M. Bailey, Thomas Stair, Robert A. Greenes, and Lucila Ohno-Machado. "Physiological Signal Monitoring in the Waiting Areas of an Emergency Room." In 3rd International ICST Conference on Body Area Networks. ICST, 2008. http://dx.doi.org/10.4108/icst.bodynets2008.2968.

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Monks, Thomas, and Rudabeh Meskarian. "Using simulation to help hospitals reduce emergency department waiting times: Examples and impact." In 2017 Winter Simulation Conference (WSC). IEEE, 2017. http://dx.doi.org/10.1109/wsc.2017.8248000.

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Ibrahim, Ireen Munira, Choong-Yeun Liong, Sakhinah Abu Bakar, Norazura Ahmad, and Ahmad Farid Najmuddin. "Minimizing patient waiting time in emergency department of public hospital using simulation optimization approach." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980949.

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Roslan, Shazwa, Herniza Md Tahir, Noraimi Azlin Mohd Nordin, and Zati Aqmar Zaharudin. "Analyzing patient's waiting time in emergency & trauma department in public hospital - A case study." In STATISTICS AND OPERATIONAL RESEARCH INTERNATIONAL CONFERENCE (SORIC 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4894329.

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Medina, Bryan L., Jose Antonio Vazquez Ibarra, Rodolfo Rafael Medina Ramirez, and Miguel Mora-Gonzalez. "Multi-step forecasting of waiting time on emergency department overcrowding using multilayer perceptron neural network algorithm." In 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE, 2020. http://dx.doi.org/10.1109/ropec50909.2020.9258767.

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Sanders, D., S. Mukhi, M. Laskowski, M. Khan, B. W. Podaima, and R. D. McLeod. "A Network-Enabled Platform for Reducing Hospital Emergency Department Waiting Times Using an RFID Proximity Location System." In 2008 19th International Conference on Systems Engineering (ICSENG). IEEE, 2008. http://dx.doi.org/10.1109/icseng.2008.27.

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Menon, V., and C. Wong. "G248(P) Introducing live waiting times online as a service improvement for the paediatric emergency department (PED)." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference–Online, 25 September 2020–13 November 2020. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2020. http://dx.doi.org/10.1136/archdischild-2020-rcpch.215.

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