Individual Workload Research Articles

Increased individual workload for nuclear medicine physicians over the past years: 2008-2023 data from The Netherlands.

To investigate temporal trends in the individual workload of nuclear medicine physicians at a large tertiary care academic center between 2008 and 2023. This study analyzed the reporting workload of nuclear medicine physicians in a large tertiary care academic center in The Netherlands on 36 unique (randomly sampled) calendar days, for each year between 2008 and 2023. The average daily departmental workload (measured with relative value units) was calculated for each year between 2008 and 2023. The individual workload was calculated by dividing the average daily departmental workload in each year by the available full-time equivalent nuclear medicine physicians in each year. Mann-Kendall tests were used to assess for any temporal monotonic trends in individual workload and types of nuclear medicine procedures performed. Individual workload increased significantly between 2008 and 2023 (Mann-Kendall tau of 0.611, P = 0.001). Individual workload in 2023 was 86% higher than in 2008. The use of positron emission tomography (PET) increased significantly (Mann-Kendall tau of 0.912, P < 0.001) between 2008 and 2023. The use of diagnostic scintigraphy decreased significantly in the same period (Mann-Kendall tau of -0.817, P < 0.001). The use of DEXA also showed a significant decrease (Mann-Kendall tau of -0.467, P = 0.013), but this decrease was negligible on a relative scale. The number of therapeutic procedures (Mann-Kendall tau of -0.100, P = 0.626) remained statistically stable in this period. Our single-center study showed that the individual workload of nuclear medicine physicians has increased significantly between 2008 and 2023, driven by the rise in PET scans. The demand for both diagnostic and therapeutic nuclear medicine procedures and associated workload is expected to keep on increasing in the foreseeable future. This workload trend should be taken into account by policymakers involved in nuclear medicine staffing planning. A healthy balance between the nuclear medicine workforce and workload is necessary to maintain the quality of care, to be able to perform other important (academic) tasks such as research, educating and training medical students and residents, and management, and to prevent physician burnout and dropout.

The Influence Of Work Conflict And Work Spirit On Employee Performance At The Office Of North Galesong District, Takalar Regency

This research aims to determine the influence of work conflict and work morale on employee performance at the North Galesong District Office, Takala Regency. This research method is descriptive quantitative using simple regression analysis. Research data was obtained from respondents through a questionnaire with 32 employees as respondents. Statistical analysis was carried out using the SPSS 20 program. The research results obtained by the author of the work conflict variable (????1) and employee performance variable (Y) show that the significant value is 0.310 (&gt;0.05). Obtained t table of 2.048 with a t count of 1.035 then (1.035&lt;2.048) with a significant value (0.310&gt;0.05) then it can be concluded that Ho is accepted and Ha is rejected, meaning that the partial (individual) work conflict variable has no significant effect on employee performance and The partial test (t) of the work enthusiasm variable (????2) on employee performance (Y) shows a significant value of 0.015 (&lt;0.05). Obtained a t table of 2.048 with a calculated t of 2.616 so (2.616&gt;2.048) is significant (0.015&lt;0.05) then it can be concluded that Ho is rejected and Ha is accepted, meaning that the partial (individual) workload variable has a significant effect on employee performance. The tcount value is positive, meaning that the influence that occurs is positive, or can be interpreted as decreasing the workload, which will increase employee performance

Large Scale Anonymous Collusion and its detection in crowdsourcing

Crowdsourcing aims to aggregate collective intelligence from independent work of individuals using online platforms. However, some participants disregard platform regulations for higher payment, collaborating overtly or covertly to reduce individual workload—a behavior known as collusion in crowdsourcing. Prior research on collusion has focused on small groups or offline formations, neglecting the potential for large-scale anonymous collusion. Our study unveils a feasible method for large-scale anonymous collusion, making current detection methods less effective. In this paper, we propose a novel framework for large-scale collusion, demonstrating its negative impacts. Workers using this framework can earn more commissions with reduced workload, while at the same time easily evading current detection systems. Meanwhile, to address such collusive behavior, we present a graph-oriented collusion detection algorithm that can successfully identifies colluding workers. Experimental results show that our method outperforms previous ones, significantly reducing adverse effects on crowdsourced data by excluding collusion cases.

Investigating innovations in outpatient services: a mixed-methods rapid evaluation.

Within outpatient services, a broad range of innovations are being pursued to better manage care and reduce unnecessary appointments. One of the least-studied innovations is Patient-Initiated Follow-Up, which allows patients to book appointments if and when they need them, rather than follow a standard schedule. To use routine national hospital data to identify innovations in outpatient services implemented, in recent years, within the National Health Service in England. To carry out a rapid mixed-methods evaluation of the implementation and impact of Patient-Initiated Follow-Up. The project was carried out in four sequential workstreams: (1) a rapid scoping review of outpatient innovations; (2) the application of indicator saturation methodology for scanning national patient-level data to identify potentially successful local interventions; (3) interviews with hospitals identified in workstream 2; and (4) a rapid mixed-methods evaluation of Patient-Initiated Follow-Up. The evaluation of Patient-Initiated Follow-Up comprised an evidence review, interviews with 36 clinical and operational staff at 5 National Health Service acute trusts, a workshop with staff from 13 National Health Service acute trusts, interviews with four patients, analysis of national and local data, and development of an evaluation guide. Using indicator saturation, we identified nine services with notable changes in follow-up to first attendance ratios. Of three sites interviewed, two queried the data findings and one attributed the change to a clinical assessment service. Models of Patient-Initiated Follow-Up varied widely between hospital and clinical specialty, with a significant degree of variation in the approach to patient selection, patient monitoring and discharge. The success of implementation was dependent on several factors, for example, clinical condition, staff capacity and information technology systems. From the analysis of national data, we found evidence of an association between greater use of Patient-Initiated Follow-Up and a lower frequency of outpatient attendance within 15 out of 29 specialties and higher frequency of outpatient attendance within 7 specialties. Four specialties had less frequent emergency department visits associated with increasing Patient-Initiated Follow-Up rates. Patient-Initiated Follow-Up was viewed by staff and the few patients we interviewed as a positive intervention, although there was varied impact on individual staff roles and workload. It is important that sites and services undertake their own evaluations of Patient-Initiated Follow-Up. To this end we have developed an evaluation guide to support trusts with data collection and methods. The Patient-Initiated Follow-Up evaluation was affected by a lack of patient-level data showing who is on a Patient-Initiated Follow-Up pathway. Engagement with local services was also challenging, given the pressures facing sites and staff. Patient recruitment was low, which affected the ability to understand experiences of patients directly. The study provides useful insights into the evolving national outpatient transformation policy and for local practice. Patient-Initiated Follow-Up is often perceived as a positive intervention for staff and patients, but the impact on individual outcomes, health inequalities, wider patient experience, workload and capacity is still uncertain. Further research should include patient-level analysis to determine clinical outcomes for individual patients on Patient-Initiated Follow-Up and health inequalities, and more extensive investigation of patient experiences. This study is registered with the Research Registry (UIN: researchregistry8864). This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/138/17) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 38. See the NIHR Funding and Awards website for further award information.

Cardiac autonomic responses in relation to cognitive workload during simulated military flight

Understanding the operator's cognitive workload is crucial for efficiency and safety in human–machine systems. This study investigated how cognitive workload modulates cardiac autonomic regulation during a standardized military simulator flight. Military student pilots completed simulated flight tasks in a Hawk flight simulator. Continuous electrocardiography was recorded to analyze time and frequency domain heart rate variability (HRV). After the simulation, a flight instructor used a standardized method to evaluate student pilot's individual cognitive workload from video-recorded flight simulator data. Results indicated that HRV was able to differentiate flight phases that induced varying levels of cognitive workload; an increasing level of cognitive workload caused significant decreases in many HRV variables, mainly reflecting parasympathetic deactivation of cardiac autonomic regulation. In conclusion, autonomic physiological responses can be used to examine reactions to increased cognitive workload during simulated military flights. HRV could be beneficial in assessing individual responses to cognitive workload and pilot performance during simulator training.

Assessment of Visual Attention in Teams with or without Dedicated Team Leaders: A Neonatal Simulation-Based Pilot Randomised Cross-Over Trial Utilising Low-Cost Eye-Tracking Technology.

Eye-tracking technology could be used to study human factors during teamwork. This work aimed to compare the visual attention (VA) of a team member acting as both a team leader and managing the airway, compared to a team member performing the focused task of managing the airway in the presence of a dedicated team leader. This work also aimed to report differences in team performance, behavioural skills, and workload between the two groups using validated tools. We conducted a simulation-based, pilot randomised controlled study. The participants included were volunteer paediatric trainees, nurse practitioners, and neonatal nurses. Three teams consisting of four team members were formed. Each team participated in two identical neonatal resuscitation simulation scenarios in a random order, once with and once without a team leader. Using a commercially available eye-tracking device, we analysed VA regarding attention to (1) a manikin, (2) a colleague, and (3) a monitor. Only the trainee who was the airway operator would wear eye-tracking glasses in both simulations. In total, 6 simulation scenarios and 24 individual role allocations were analysed. Participants in a no-team-leader capacity had a greater number of total fixations on manikin and monitors, though this was not significant. There were no significant differences in team performance, behavioural skills, and individual workload. Physical demand was reported as significantly higher by participants in the group without a team leader. During debriefing, all the teams expressed their preference for having a dedicated team leader. In our pilot study using low-cost technology, we could not demonstrate the difference in VA with the presence of a team leader.

Webcam technology on neonatal wards—examining the objective and subjective workload of nurses: a combined observational and survey study

BackgroundThis study was conducted to estimate the additional objective and perceived workload of nurses resulting from the use of webcams. The successful implementation of webcam technology into routine care requires an analysis to prevent adverse events of increased nursing workload.MethodsThe study took place on three neonatal wards in two University Hospitals in Germany. In the first Hospital, the study was conducted from February to July 2021; in the second one it was conducted between June and November 2021. Data were collected using a combined approach of a standardised diary questionnaire study and passive observations. The participants were accompanied in their daily work and their activities were recorded 65 nurses participated.Results2,031 h were observed in 1,630 observation blocks. In 14.74% of the observation blocks webcam activities were detected. The extent to which the nurses had webcam-related additional workloads was rated as no additional workload in 82.16% of the daily questionnaires (n = 1,026).ConclusionThe observed low workload due to the webcams is in line with the nurses’ perception. The observational data revealed, on a number of different analysis levels, that a limited additional workload was generated. There was no decrease in activity performance observed and no clear indication for interruptions due to the webcam-related activities for the nurses. However, it is important to raise awareness about the individual workload levels for the successful implementation. Additional education programs can be provided for nurses.Trial registrationThe Neo-CamCare study is registered at the German Clinical Trials Register. DRKS-ID: DRKS00017755.

Measuring aviator workload using EEG: an individualized approach to workload manipulation.

Measuring an operator's physiological state and using that data to predict future performance decrements has been an ongoing goal in many areas of transportation. Regarding Army aviation, the realization of such an endeavor could lead to the development of an adaptive automation system which adapts to the needs of the operator. However, reaching this end state requires the use of experimental scenarios similar to real-life settings in order to induce the state of interest that are able to account for individual differences in experience, exposure, and perception to workload manipulations. In the present study, we used an individualized approach to manipulating workload in order to account for individual differences in response to workload manipulations, while still providing an operationally relevant flight experience. Eight Army aviators participated in the study, where they completed two visits to the laboratory. The first visit served the purpose of identifying individual workload thresholds, with the second visit resulting in flights with individualized workload manipulations. EEG data was collected throughout both flights, along with subjective ratings of workload and flight performance. Both EEG data and workload ratings suggested a high workload. Subjective ratings were higher during the high workload flight compared to the low workload flight (p < 0.001). Regarding EEG, frontal alpha (p = 0.04) and theta (p = 0.01) values were lower and a ratio of beta/(alpha+theta) (p = 0.02) were higher in the baseline flight scenario compared to the high workload scenario. Furthermore, the data were compared to that collected in previous studies which used a group-based approach to manipulating workload. The individualized method demonstrated higher effect sizes in both EEG and subjective ratings, suggesting the use of this method may provide a more reliable way of producing high workload in aviators.

Weak Correlation Between Perceived and Measured Intensive Care Unit Nursing Workload: An Observational Study.

Efficient management of nursing workload in the intensive care unit (ICU) is essential for patient safety, care quality, and nurse well-being. Current ICU-specific workload assessment scores lack comprehensive coverage of nursing activities and perceived workload. The purpose of this study was to assess the correlation between ICU nurses' perceived workload and the Nine Equivalents of Nursing Manpower Use Score (NEMS). In a 45-bed adult ICU at a tertiary academic hospital, nurses' perceived shift workload (measured with an 11-point Likert scale) was correlated with the NEMS, calculated manually and electronically. The study included 1734 observations. The perceived workload was recorded for 77.6% of observations. A weak positive correlation was found between perceived and objectively measured workload. Findings indicate a need to consider the multifaceted nature of nursing activities and individual workload perceptions in the ICU.

Cloud Storage Cost Optimization: Advanced Techniques and Case Studies

The growing usage of cloud storage has revolutionized data management by offering unparalleled scalability and accessibility. However, optimizing cloud storage prices remains challenging, sometimes leading to significant unforeseen costs. This article explores a wide range of advanced techniques and practical case studies that enable enterprises to effectively navigate the intricacies of cost optimization across top cloud providers, including Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Beyond selecting the most appropriate storage type for individual workloads (block, blob, or file storage), we explore advanced strategies that unlock substantial cost savings. From leveraging contractual negotiations for high-volume storage users to utilizing dedicated data transfer devices for streamlined on-premises migration, this paper equips readers with a diverse arsenal of optimization tools. We explore best practices for data lifecycle management, such as tiered backups and granular retention policies, to optimize beyond merely technical solutions. This way, we ensure that data is held at the most affordable tier depending on its frequency of access and compliance with legal requirements. By consistently analyzing cloud storage consumption and adapting responsive strategies to changing requirements, enterprises may retain optimal performance while ensuring long-term financial sustainability. This paper serves as a valuable resource for organizations seeking to master the intricacies of cloud storage cost optimization. By implementing the advanced techniques and best practices outlined herein, cloud users can confidently unlock significant cost savings and maximize the return on their cloud storage investments.

The Effects of Workload Excess on Quality of Work Life in Third-Level Healthcare Workers: A Structural Equation Modeling Perspective.

Examining the workload and working conditions of healthcare workers is crucial regarding the quality of the work life of employees and the quality of services provided. This study aims to determine the effects of the perceptions of workload on the quality of work life of health personnel working in two different tertiary hospitals affiliated with the Ministry of Health and the Higher Education Institution in Türkiye with structural equation modeling. This study was conducted in two hospitals in Malatya province: İnönü University Turgut Özal Medical Center affiliated with the Higher Education Institution and Malatya Training and Research Hospital affiliated with the Ministry of Health. The mean score of the Individual Workload Perception Scale was 106.18 ± 16.5, and the mean score of the Work-related Quality of Life Scale was 66.39 ± 15.33. Total workload scores had a statistically significant positive effect on total quality of work life scores (β1 = 0.98; p = 0.001). It was concluded that there was a statistically significant relationship between workload and quality of work life and age, unit of employment, working time in the profession, and hospital type.

Correlation between individual characteristics, physical workload, and mental workload on operational workers in terminal Jamrud Surabaya

Introduction: Work fatigue is a condition experienced by the workforce that can lead to a decrease in vitality and work productivity. There are several causes of fatigue, including age, length of service, nutritional status, physical workload, and mental workload. Based on observations at PT Pelindo Multi Terminal's Jamrud Terminal, many operational workers complain of work fatigue due to the heavy workload at work. Therefore, the purpose of this study is to determine the factors associated with fatigue to serve as the basis for the preparation of interventions. Methods: This quantitative research was carried out through analytical observational design. The number of samples taken was 25 people using total sampling. In this case, the independent variables measured were age, work period, nutritional status, physical workload, and mental workload. Meanwhile, the dependent variable studied was work fatigue using reaction timer tool. Results: The research results show that the age variable has a weak relation with work fatigue at 0.106, work period at 0.161, nutritional status at 0,212, and mental workload at 0.042. Meanwhile, the physical workload has a moderate relation with work fatigue at 0,306. Conclusion: The physical workload has the strongest relation with work fatigue.

Antecedents of Job Satisfaction Mediated by Work Motivation

This research aims to determine the antecedents of job satisfaction mediated by work motivation. This research is quantitative using Partial Least Square version 4.0. The sample uses census techniques of 102 respondents. The results of the research individual characteristics and workload have a positive and significant effect on job satisfaction, job characteristics, and organizational culture do not affect job satisfaction, organizational culture has no significant effect on job satisfaction, job characteristics have a positive and significant effect on work motivation, organizational culture positive and significant effect on work motivation, workload has a significant effect on work motivation, work motivation does not affect job satisfaction, individual characteristics, job characteristics, organizational culture, and workload cannot mediate employee work motivation on job satisfaction.

ChatGPT May Offer an Adequate Substitute for Informed Consent to Patients Prior to Total Knee Arthroplasty-Yet Caution Is Needed.

Prior to undergoing total knee arthroplasty (TKA), surgeons are often confronted with patients with numerous questions regarding the procedure and the recovery process. Due to limited staff resources and mounting individual workload, increased efficiency, e.g., using artificial intelligence (AI), is of increasing interest. We comprehensively evaluated ChatGPT's orthopedic responses using the DISCERN instrument. Three independent orthopedic surgeons rated the responses across various criteria. We found consistently high scores, predominantly exceeding a score of three out of five in almost all categories, indicative of the quality and accuracy of the information provided. Notably, the AI demonstrated proficiency in conveying precise and reliable information on orthopedic topics. However, a notable observation pertains to the generation of non-existing references for certain claims. This study underscores the significance of critically evaluating references provided by ChatGPT and emphasizes the necessity of cross-referencing information from established sources. Overall, the findings contribute valuable insights into the performance of ChatGPT in delivering accurate orthopedic information for patients in clinical use while shedding light on areas warranting further refinement. Future iterations of natural language processing systems may be able to replace, in part or in entirety, the preoperative interactions, thereby optimizing the efficiency, accessibility, and standardization of patient communication.

Validity, reliability, and bias between instrumented pedals and loadsol insoles during stationary cycling.

The purpose of this study was to evaluate the validity and reliability of the loadsol in measuring pedal reaction force (PRF) during stationary cycling as well as lower limb symmetry. Ten healthy participants performed bouts of cycling at 1kg, 2kg, and 3kg workloads (conditions) on a cycle ergometer. The ergometer was fitted with instrumented pedals and participants wore loadsol plantar pressure insoles. A 3 x 2 (Condition x Sensor Type) ANOVA was used to examine the differences in measured peak PRF, impulse, and symmetry indices. Root mean square error, intraclass correlation coefficients, and Passing-Bablok regressions were used to further assess reliability and validity. The loadsol demonstrated poor (< 0.5) to excellent (> 0.9) agreement as measured by intraclass correlation coefficients for impulse and peak PRF. Passing-Bablok regression revealed a systematic bias only when assessing all workloads together for impulse with no bias present when looking at individual workloads. The loadsol provides a consistent ability to measure PRF and symmetry when compared to a gold standard of instrumented pedals but exhibits an absolute underestimation of peak PRF. This study provides support that the loadsol can identify and track symmetry differences in stationary cycling which means there is possible usage for clinical scenarios and interventions in populations with bilateral asymmetries such as individuals with knee replacements, limb length discrepancies, diabetes, or neurological conditions. Further investigation of bias should be conducted in longer cycling sessions to ensure that the loadsol system is able to maintain accuracy during extended use.

Mental Workload and Prefrontal Brain Activity During Silent Reading Task in University Students with Problematic Smartphone Use.

Problematic smartphone use (PSU) is common among young people and linked to poor academic performance. However, how PSU affects learning processes remains unclear. This study investigated the influence of auditory cue stimulation during a reading task on the mental workload and prefrontal brain activity of young individuals with PSU. Sixteen university students with PSU and 14 healthy controls (HC) performed a silent reading task, during which fake notification sounds were introduced. Their mental workload was assessed using the NASA Task Load Index (NASA-TLX), and prefrontal brain activity was measured using functional near-infrared spectroscopy (fNIRS). The results of the NASA-TLX suggest that the PSU group experienced greater frustration than the HC group. The fNIRS results showed that in the right medial prefrontal region of the HC group, O2Hb levels increased following cue stimulation, whereas no change was observed in the PSU group. Moreover, in the HC group, HHb levels in the left lateral prefrontal region decreased after cue stimulation. The findings of the present study demonstrate that university students with PSU experience frustration and exhibit deactivation in the prefrontal regions associated with the executive control network during silent reading in realistic learning situations.

Distribution of physical workload with an ergonomic order assignment

With their variety of skills and competencies, humans are an important resource in logistics. To prevent workload-related diseases, improve work design, and maintain productivity in manual processes as order picking, an optimization approach to integrate ergonomics into resource planning is introduced. The objective is to evenly distribute physical workload among workers in a shift. Applying the Design Science Research Method, this paper presents the conceptual process design of the developed ergonomic order assignment. An assessment of the individual workload per order and worker combination is introduced, considering individual characteristics of typical orders. It is followed by a reference implementation.

Estimation of Supply and Demand for Cardiologists in Korea.

The objective of this study was to estimate the supply and demand for cardiologists in Korea and provide evidence for healthcare policy to ensure a stable and adequate workforce for optimal cardiovascular disease management. Past trends of inflow and outflow of cardiologists were used to make crude projections, which were then adjusted based on demands of services to obtain final projections. Inflow of cardiologists was estimated using second-order polynomial regression and demand for cardiology care was estimated using linear regression. There were 1,139 active cardiologists who were under the age of 65 in clinical practice in Korea. The estimated number of cardiologists from 2022 to 2040 showed that the number of cardiologists would peak at 1,344 in 2032 and gradually decrease thereafter. We also estimated an increase of 947,811 cases of heart-related procedures annually from 2023 to 2032. The number of heart-related procedures per cardiologist would increase 1.4 times from 12,964 in 2023 to 17,862 in 2032. The estimated number of emergency patients per cardiologist under 50 years old would almost double from 544 in 2022 to 987 in 2032. We expect significant shortage of cardiologists in Korea within the next 10 years. The number of emergency patients per cardiologist will increase by nearly 50%, leading to high individual workload for cardiologists. To prevent this imbalance between supply and demand, an organized and collective approach by the specialty of cardiology is imperative to produce a balanced workforce.

Salivary concentrations of secretory leukocyte protease inhibitor and matrix metallopeptidase-9 following a single bout of exercise are associated with intensity and hydration status.

To investigate the effects of exercise on salivary concentrations of inflammatory markers by analyzing a panel of 25 inflammatory markers in subjects who had participated in bicycle ergometer tests varying in workload and hydration status. Fifteen healthy young men (20-35 years) had performed 4 different exercise protocols of 1 hour duration in a randomly assigned cross-over design, preceded by a rest protocol. Individual workloads depended on participant's pre-assessed individual maximum workload (Wmax): rest (protocol 1), 70% Wmax in hydrated (protocol 2) and dehydrated (protocol 3) state, 50% Wmax (protocol 4) and intermittent 85%/55% Wmax in 2 min blocks (protocol 5). Saliva samples were collected before (T0) and immediately after exercise (T1), and at several time points after exercise (2 hours (T3), 3 hours (T4), 6 hours (T5) and 24 hours (T6)). Secretory Leukocyte Protease Inhibitor (SLPI), Matrix Metallopeptidase-9 (MMP-9) and lactoferrin was analyzed using a commercial ELISA kit, a panel of 22 cytokines and chemokines were analyzed using a commercial multiplex immunoassay. Data was analyzed using a multilevel mixed linear model, with multiple test correction. Among a panel of 25 inflammatory markers, SLPI concentrations were significantly elevated immediately after exercise in all protocols compared to rest and higher concentrations reflected the intensity of exercise and hydration status. MMP-9 showed a significant increase in the 70% Wmax dehydrated, 50% Wmax and intermittent protocols. Salivary concentrations of SLPI and MMP-9 seem associated with exercise intensity and hydration status and may offer non-invasive biomarkers to study (local) inflammatory responses to different exercise intensities in human studies.

Covid-19 Pandemisi Sürecinde Yoğun Bakımda Çalışanların İş Yüküyle Tükenmişlik Düzeyi Arasındaki İlişki

The research is a cross-sectional and descriptive study that examines the relationship between the increased workload in Covid-19 intensive care units and the burnout levels of nurses. The study population consists of nurses working in Covid-19 intensive care units. The sample was composed of nurses who met the inclusion criteria for the study and volunteered to participate in the research at Yıldırım Beyazıt University Training and Research Hospital. Pandemic is generally defined as the worldwide spread of a previously unseen disease. Pandemics have a high rate of infecting and causing fatalities in the global population. Along with pandemics, come various societal issues affecting areas such as work, the economy, education, and, notably, the healthcare sector. The unprecedented Covid-19 pandemic has placed immense pressure on the healthcare sector worldwide, exacerbating pre-existing workloads and burnout issues. In our study addressing this problem, questions were posed using a sociodemographic data form, the Maslach Burnout Inventory, and the Individual Workload Perception Scale. The collected data was analyzed, and the findings were compared with the literature to draw conclusions. Recommendations were made based on these analyses. Key words: Covid-19, Nursing, Workload, Burnout