Análisis de la carga laboral en tiempo médico en función del grado de complejidad de las muestras y propuesta de algoritmo para la distribución equitativa del trabajo asistencial en un servicio de anatomía patológica / Analysis of the workload in medical time according to the degree of complexity of the samples and proposal of an algorithm for the equitable distribution of the workload in an anatomic pathology department

Introducción: En un servicio de anatomía patológica se analiza la carga laboral en tiempo médico en función de la complejidad de las muestras recibidas, y se valora su distribución entre los patólogos, presentado un nuevo algoritmo informático que favorece una distribución equitativa. Métodos: Siguiendo las directrices para la «Estimación de la carga de trabajo en citopatología e histopatología (tiempo médico) atendiendo al catálogo de muestras y procedimientos de la SEAP-IAP (2.ª edición)» se determinan las unidades de carga laboral (UCL) por patólogo y UCL global del servicio, la carga media laboral que soporta el servicio (factor MU), el tiempo de dedicación de cada patólogo a la actividad asistencial y el número de patólogos óptimo según la carga laboral del servicio. Resultados: Determinamos 12.197 UCL totales anuales para el patólogo jefe de servicio, así como 14.702 y 13.842 para los patólogos adjuntos, con una UCL global del servicio de 40.742. El factor MU calculado es 4,97. El jefe ha dedicado el 72,25% de su jornada a la asistencia y los adjuntos el 87,09 y 82,01%. El número de patólogos óptimo para el servicio es de 3,55. Conclusiones: Todos los resultados obtenidos demuestran la sobrecarga laboral médica, y la distribución de las UCL entre los patólogos no resulta equitativa. Se propone un algoritmo informático capaz de distribuir la carga laboral de manera equitativa, asociado al sistema de información del laboratorio, y que tenga en cuenta el tipo de muestra, su complejidad y la dedicación asistencial de cada patólogo.(AU)

Introduction: In a pathological anatomy service, the workload in medical time is analyzed based on the complexity of the samples received and its distribution among pathologists is assessed, presenting a new computer algorithm that favors an equitable distribution. Methods: Following the second edition of the Spanish guidelines for the estimation of workload in cytopathology and histopathology (medical time) according to the Spanish Pathology Society-International Academy of Pathology (SEAP-IAP) catalog of samples and procedures, we determined the workload units (UCL) per pathologist and the overall UCL of the service, the average workload of the service (MU factor), the time dedicated by each pathologist to healthcare activity and the optimal number of pathologists according to the workload of the service. Results: We determined 12 197 total annual UCL for the chief pathologist, as well as 14 702 and 13 842 UCL for associate pathologists, with an overall of 40 742 UCL for the whole service. The calculated MU factor is 4.97. The chief pathologist devoted 72.25% of his working day to healthcare activity while associate pathologists dedicated 87.09% and 82.01% of their working hours. The optimal number of pathologists for the service is found to be 3.55. Conclusions: The results demonstrate medical work overload and a non-equitable distribution of UCLs among pathologists. We propose a computer algorithm capable of distributing the workload in an equitable manner. It would be associated with the laboratory information system and take into account the type of specimen, its complexity and the dedication of each pathologist to healthcare activity.(AU)

Oral health educators' reflections on teaching 2022 and beyond.

INTRODUCTION: The global pandemic prompted changes in health science education affecting both teaching and learning. This multi-institutional study assesses the near-term implications of these changes on faculty and faculty development. The project goals were to: (1) describe faculty experiences of teaching during the pandemic; (2) identify ways to sustain new pedagogical approaches, (3) describe the types of support faculty members need, and (4) offer recommendations to enhance oral health professions education. METHODS: A mixed-method approach using exploratory sequential design was conducted in two phases collecting qualitative and quantitative data. Focus group participants included didactic, pre-clinical, and clinical faculty in dental school (DMD/DDS), dental hygiene and dental therapy programs, and also faculty members serving in administrative roles in these programs (N = 37). One hundred forty-four faculty participated in the multi-institutional follow-up survey. RESULTS: Focus group and survey results led to 14 recommendations (nine structural and five individual) for oral health profession institutions and educators. CONCLUSION: Oral health profession education faculty were dramatically impacted by the pandemic and new faculty development needs were identified. Traditional faculty development topics and practices may be no longer applicable in the post-COVID-19 environment. Additionally, the pandemic stimulated creative approaches for curriculum design, teaching, and assessment in oral health profession education. Strategies need to be implemented to sustain these innovations.

Association between match-related physical activity profiles and playing positions in different tasks: A data driven approach.

Assessing the intensity characteristics of specific soccer drills (matches, small-side game, and match-based exercises) could help practitioners to plan training sessions by providing the optimal stimulus for every player. In this paper, we propose a data analytics framework to assess the neuromuscular or metabolic characteristics of a soccer-specific exercise in relation with the expected match intensity. GPS data describing the physical tasks' external intensity during an entire season of twenty-eight semi-professional soccer players competing at the fourth Italian division were used in this study. A supervised machine-learning approach was tested in order to detect difference in playing positions in different sport-specific drills. Moreover, a non-supervised machine-learning model was used to profile the match neuromuscular and metabolic characteristics. Players' playing positions during matches and match-based exercises are characterised by specific metabolic and neuromuscular characteristics related to tactical demands, while in the small-side game these differences are not detected. Additionally, our framework permits to evaluate if the match performance request is mirrored during training drills. Practitioners could evaluate the type of stimulus performed by a player in a specific training drill in order to assess if they reflect the matches characteristics of their specific playing position.

Adjunct Preceptor Perceptions of Motivation, Understanding, and Support for the Precepting Role.

OBJECTIVE: To determine adjunct pharmacist preceptor perceptions of their precepting role related to three domains: motivation to precept, understanding the precepting role, and support for precepting. METHODS: An online cross-sectional survey of 2429 adjunct preceptors for four schools of pharmacy was conducted. Participants ranked their agreement with 81 statements regarding the three domains, including eleven subdomains. RESULTS: Mean scores for the three domains were slightly below the positive response level, with lower scores found for the subdomains of workload, precepting norms, and extrinsic benefits/rewards. Individual statements indicated increased workload due to precepting, need for more preceptor recognition and appreciation, perceptions that precepting was stressful or draining, and a preference for one concurrent learner. More frequent need for extra coaching for APPE students negatively impacted all domains, including nine subdomains. CONCLUSION: This study provides a formal evaluation of adjunct preceptor perceptions of their precepting role. Compared to previous studies, these results may indicate lower satisfaction with precepting, suggesting opportunities exist to improve the adjunct precepting experience. Actions by schools/colleges of pharmacy are necessary to ensure experiential education capacity including addressing workload concerns, increasing preceptor recognition and appreciation, and supporting preceptors when students need extra coaching.

[Analysis of the workload in medical time according to the degree of complexity of the samples and proposal of an algorithm for the equitable distribution of the workload in an anatomic pathology department]. / Análisis de la carga laboral en tiempo médico en función del grado de complejidad de las muestras y propuesta de algoritmo para la distribución equitativa del trabajo asistencial en un servicio de anatomía patológica.

INTRODUCTION: In a pathological anatomy service, the workload in medical time is analyzed based on the complexity of the samples received and its distribution among pathologists is assessed, presenting a new computer algorithm that favors an equitable distribution. METHODS: Following the second edition of the Spanish guidelines for the estimation of workload in cytopathology and histopathology (medical time) according to the Spanish Pathology Society-International Academy of Pathology (SEAP-IAP) catalog of samples and procedures, we determined the workload units (UCL) per pathologist and the overall UCL of the service, the average workload of the service (MU factor), the time dedicated by each pathologist to healthcare activity and the optimal number of pathologists according to the workload of the service. RESULTS: We determined 12 197 total annual UCL for the chief pathologist, as well as 14 702 and 13 842 UCL for associate pathologists, with an overall of 40 742 UCL for the whole service. The calculated MU factor is 4.97. The chief pathologist devoted 72.25% of his working day to healthcare activity while associate pathologists dedicated 87.09% and 82.01% of their working hours. The optimal number of pathologists for the service is found to be 3.55. CONCLUSIONS: The results demonstrate medical work overload and a non-equitable distribution of UCLs among pathologists. We propose a computer algorithm capable of distributing the workload in an equitable manner. It would be associated with the laboratory information system and take into account the type of specimen, its complexity and the dedication of each pathologist to healthcare activity.

An exploratory study of the practical impact of the COVID-19 pandemic on nursing tasks in clinical settings.

AIMS: To identify and compare new or increased nursing tasks in South Korea during the pandemic, categorized by hospital type and department. BACKGROUND: Although COVID-19 is no longer considered a global public health emergency, the threat of novel infectious diseases remains. Reflecting on the COVID-19 pandemic is essential to prepare effectively for future outbreaks. METHODS: This cross-sectional exploratory study, following the STROBE checklist, included 948 registered nurses with more than a year of clinical experience currently working in various hospitals. Questionnaires gathered demographic data, work characteristics, and the frequency of nursing task performance. Statistical analysis encompassed descriptive and inferential methods. RESULTS: The most common new or increased nursing task across all hospital types was 'Access control for family caregivers.' General wards prioritized tasks related to family caregivers, while specialized units like ICU and ER focused on infection control. CONCLUSION: Understanding how COVID-19 has impacted nursing tasks is crucial for gaining insights into efficient resource allocation, targeted education, and policy formulation during similar public health crises. The pandemic has given rise to new family caregiver-related tasks in the nursing profession. Consequently, continuous nursing research is essential for establishing guidelines and fostering a supportive work environment, which is crucial for the successful implementation of these tasks.

[Burnout : Symptoms, diagnostics and treatment approaches]. / Burnout : Symptomatik, Diagnostik und Behandlungsansätze.

Burnout syndrome is characterized by the triad of symptoms exhaustion, mental distance from work activities and a feeling of ineffectiveness. The syndrome is not an independent mental disorder but can be coded in the 10th Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) as a problem related to difficulties in coping with life (Z73) and in ICD-11 as a qualifying diagnosis (QD85). This article discusses the prevalence and comorbidities of burnout syndrome, taking the methodological difficulties in conceptualizing and operationalizing the construct into account. In addition, it provides an overview of available measurement instruments and their validation. Furthermore, it discusses work-related and individual factors in the development of burnout syndrome as well as analysis of the effectiveness of treatment options.

The paradoxical effects of high involvement work practices on employees and service outcomes: a trichromatic perspective.

This research delves into the complex impact of High Involvement Work Practices (HIWPs) on various facets of employee well-being and service outcomes within the framework of the trichromatic service conception. Utilizing the Job Demands-Resources (JD-R) model, the study uncovers the dual, both beneficial and detrimental, effects of HIWPs on service performance, work-family conflict, subjective well-being, and work-family enrichment. Examining the conflicting paths of job demands (workload) and job resources (customer orientation), the analysis incorporates the moderating influence of a strategic contextual factor-supervisor support. Data was collected through self-administered questionnaires from 475 respondents in Pakistani banks, and the analysis employed moderated mediation analysis using SPSS, AMOS, and the PROCESS Macro. All proposed hypotheses received support. The results indicate that HIWPs enhance service performance by promoting customer orientation but concurrently escalate workload, leading to adverse consequences for subjective well-being and work-family conflict. The study underscores the importance of implementing HIWPs under supportive leadership to maximize positive outcomes and mitigate negative consequences. Ultimately, this approach enables employees to effectively serve customers, maintain a healthy work-family balance, and contribute to the long-term growth and sustainability of organizations.

Meeting the Consultation Surge: A Nationwide Survey of Consult Volume and Mitigation Strategies in Infectious Diseases Fellowship Programs.

High patient volume in fellowship programs can affect learning, wellness, and patient outcomes. Training programs must find ways to mitigate high consultation volume to protect the learning environment. This survey describes average new consults and average censuses for infectious diseases training programs and strategies implemented to mitigate high volume.

Perceived Stress Among Nurses at a Tertiary Care Teaching Hospital in Saudi Arabia During the COVID-19 Pandemic.

BACKGROUND: The stress level of nurses, especially frontline staff, directly impacts their physical and mental health as well as work efficiency. However, few studies have been conducted to understand the stress level of nurses related to the coronavirus disease 2019 (COVID-19) pandemic. AIM: The aim of this study is to assess the level of perceived stress among nurses at a tertiary care teaching hospital (King Abdulaziz University Hospital, Jeddah) in Saudi Arabia during the COVID-19 pandemic. METHODS: A cross-sectional survey-based descriptive study involved 1044 nurses working at a tertiary care/teaching hospital in Saudi Arabia. The Perceived Stress Scale (PSS) was used to assess nurses' stress levels. The study was conducted in July 2021 by selecting clinical nurses from different nursing units. Considering the current situation of social isolation, an online cross-sectional survey using Google Forms was used. Data analysis was performed using IBM SPSS Statistics for Windows, Version 21 (Released 2012; IBM Corp., Armonk, New York, United States). RESULTS: Out of 1044 nursing professionals, 93 (8.9%) reported experiencing low levels of stress, 915 (87.6%) reported moderate levels of stress, and 36 (3.4%) reported high perceived stress during the COVID-19 pandemic. The study found that gender (p=0.001) and nationality (p=0.016) had significant effects on stress levels. The three major causes of stress identified by the nurses were workload, lack of resources, and fear of contracting COVID-19. CONCLUSION: Job-related stress continues to be an issue in the nursing workforce. The effects of stress experienced by nurses impact job satisfaction and retention, which, in turn, can affect the quality of patient care. This study highlights that nurses in a tertiary care (COVID care) teaching hospital in our setting often experience stress and anxiety during the pandemic. It is worth noting that this is the first study conducted to understand the level of stress perceived by nursing staff during the COVID-19 pandemic in our current study setting. The findings indicate that a considerable number of nurses experienced moderate levels of stress during COVID-19, which can have implications for patient care. Recognizing and understanding the job-related stressors of nurses can help nurse leaders implement more effective strategies aimed at reducing nurses' stress and subsequently improving patient outcomes.

Comparative analysis of mental workload and performance between young and elderly drivers: Implications for road safety and age-related driving challenges.

BACKGROUND: Driving represents a multifaceted cognitive endeavor, demanding heightened vigilance and swift responses. Considering the high statistics of driving accidents and heavy loads, as well as the effect of the driver's age on the occurrence of accidents, it is important to investigate these factors to reduce accidents. OBJECTIVE: This study investigates the impact of mental workload on the performance of young and older drivers in a dynamic driving scenario to compare cognitive performance, workload perception, and driving outcomes between the two age groups. METHODS: Cognitive tests including the Stroop test, Continuous Performance test, and Focused Attention test were conducted, alongside the use of the DALI questionnaire to measure workload levels. Participants encompassed twenty male drivers, divided into two age groups: 20 to 35 years and 55 to 70 years, with varying years of driving experience. The study entailed a dynamic driving scenario involving a designated route in Tehran, Iran. RESULTS: Results exhibited differences in workload scores between the age groups, particularly in dimensions such as visual demand, auditory demand, attention, and interference. Older drivers demonstrated heightened cognitive and physical demands during driving, implying a greater need for attention and cognitive effort. CONCLUSION: The findings of this study indicated that navigating through congested roads and dense urban traffic significantly elevates the mental workload for drivers, consequently impacting their cognitive functioning. Given the critical need for attention in driving, this heightened workload can manifest as increased fatigue, increasing stress levels, and diminished concentration, all of which substantially raise the risk of vehicular accidents. Furthermore, the study highlighted a particular concern for older drivers, whose diminished cognitive capacities further raise their vulnerability to accidents under such demanding driving conditions.

Effects of upper-limb exoskeleton on muscle activity in tasks requiring arm elevation: Part II - In-field experiments in construction industry settings.

Background: The body of literature regarding the use of an upper limb exoskeleton during authentic working conditions is sparse. Objective: The aim of this study was to evaluate the effectiveness of an upper limb exoskeleton in reducing muscle strain during authentic industrial construction work. Methods: Fifteen male participants, comprising of roofers, scaffolders, builders, bricklayers, and graders performing overhead work participated in the study. During work without (REF) and with exoskeleton (EXO), muscle activity from 8 muscles, heart rate (HR), metabolic equivalent (MET), and upper arm elevation angles were recorded. Results: When using the exoskeleton, a significant reduction of 20.2% in average muscle activity of 8 muscles was found. The largest effect focused on m. deltoideus, where 46.2 and 32.2% reduction occurred in medial and anterior parts of the muscle, respectively. HR and MET were unaffected. Upper arm elevation angles were similar between REF and EXO, indicating equal biomechanical loading. Conclusions: This study indicates that exoskeletons show great promise in reducing the potential for musculoskeletal strain during authentic overhead construction work.

Reflection on the impact of the COVID-19 pandemic on a community specialist palliative care nurse team.

BACKGROUND: A global COVID-19 pandemic was declared by the World Health Organization in March 2020. AIM: To explore COVID-19's impact on one specialist community palliative care nurse (SCPCN) team 8 months after the first COVID-19 wave in the UK. METHOD: The Gibbs Reflective Cycle was used. FINDINGS: This SCPCN team described the COVID-19 pandemic as the most difficult and challenging time experienced at work, due to the increased workload and having to provide unsustainable levels of support for patients and their families. CONCLUSION: Despite the COVID-19 pandemic's significant demands on community palliative care, the SCPCN team was able to adapt accordingly. This resulted in an increasingly collaborative, reflexive, responsive, skilled and resilient team, proud of the personalised support offered to patients, their families and to other services.

Work-Related Hazards and Perceived Confined-Space Health Risk : Understanding the Correlation with Mental Workload Among Farmers in Northern Thailand's Shallow Wells.

OBJECTIVES: This study examined factors related to perceived health risks in confined spaces (PCSHR) and their correlation with the mental workload among farmers managing agricultural wells in northern Thailand. METHODS: A cross-sectional, multi-stage sample of 356 farmers was selected from four rural districts' agricultural areas. Data were collected through interviews conducted from August to December 2022, using a self-administered structured questionnaire. The five-part questionnaire gathered demographic data, information on experiences and operations in agricultural wells, knowledge of confined spaces, PCSHR, and the six-dimension NASA Task Load Index (TLX) mental workload. Linear regression and multi-variable analyses were used to investigate factors associated with PCSHR, while Pearson correlations tested the association between PCSHR and mental workload variables. RESULTS: Most farmers were male (92.4%), worked in wells to install pumping systems (81.7%) and maintain equipment (73.3%), averaging 3.80 times per year, with an average duration of 25.81 minutes. Physical symptoms reported included difficulty breathing (72.8%), feeling swelteringly hot (55.9%), and sweating excessively (27.8%), as well as accidents such as being struck by falling soil or objects (20.2%), and falling into the well while climbing down (14.9%). Farmers' perceived risk scores were high when working while physically exhausted or unprepared and when assisting an unconscious worker without knowing the gas concentration. In addition, the maximal mental workload scores were mental demand and effort subscale. Factors significantly associated with PCSHR (adj.R2 = 60.6%, p < .05) encompassed education higher than lower secondary level, current alcohol consumption, smaller well width, assisted operations, number of physical symptoms experienced, absence of environmental accidents, and confined space knowledge, while increased PCSHR was positively associated with mental workload (Overall r = 0.711, p < .01). CONCLUSION: Comprehensive education about potential hazards can improve farmers' risk perception, potentially reducing mental workload and preventing fatal accidents. Field studies are recommended to develop community-specific work protocols and accurate measuring instruments suitable for rural settings are needed.

Heavy as a rock or light as dust: a comparison between the perceived workload for extracorporeal shockwave lithotripsy, ureterorenoscopy and percutaneous nephrolithotomy.

Introduction: There are three common treatment options for kidney stones: extracorporeal shockwave lithotripsy (ESWL), ureterorenoscopy (URS) and percutaneous nephrolithotomy (PNL). The choice of treatment is based on stone- and patient-related characteristics. However, some stones are eligible for several approaches and the decision is made based on patient and urologist's preferences. This study evaluates which approach has the highest workload. Material and methods: Between March and August 2022, five members of the Amsterdam Endourology Research Group collected data from 22 ESWL, 31 URS and 22 PNL procedures. After each procedure, the SURG-TLX questionnaire was completed by the surgeon to evaluate workload. Six dimensions were scored for each procedure, including: mental demands, physical demands, temporal demands, task complexity, situational stress, and distractions. The total workload, and the median for each dimension, was calculated and compared for the three treatments. Results: ESWL scored significantly lower than URS for mental demands, physical demands, temporal demands, situational stress, distraction and total workload. However, task complexity did not differ significantly between the two techniques. Compared with PNL, ESWL scored significantly lower for all dimensions. Finally, PNL received significantly higher scores for mental demands, physical demands, temporal demands, situational stress, distractions and total workload than URS. Only task complexity showed no significant difference between both groups. Conclusions: Urologists perceive the highest workload during PNL, followed by URS and finally ESWL. A follow-up study is needed to identify stressors that increase perceived workload with the purpose to address these variables and as final objective to improve urologists' workload, patient safety and treatment outcomes.

Swimming with a head-mounted display: dual-task costs.

Head-up displays (HUDs) have the potential to change work in operation environments by providing hands-free information to wearers. However, these benefits may be accompanied by trade-offs, primarily by increasing cognitive load due to dividing attention. Previous studies have attempted to understand the trade-offs of HUD usage; however, all of which were focused on land-based tasks. A gap in understanding exists when examining HUD use in aquatic environments as immersion introduces unique environmental and physiological factors that could affect multitasking. In this study, we investigated multitasking performance associated with swimming with a HUD. Eighteen participants completed three tasks: swimming only, a HUD-administered word recall task, and a dual-task combining both tasks. Results revealed significant dual-task interference in both tasks, though possibly less pronounced than in land-based tasks. These findings enhance not only help characterise dual-task performance, but also offer valuable insights for HUD design for aquatic settings.

HUDs have become an increasingly popular tool to present information to users in complex working environments. However, past research examining HUD task performance has been restricted to land-based contexts. The current study examines HUD use while swimming and provides characterisation of multitasking performance within aquatic environments.

Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.

Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess mental workload from EEG data that use effective brain connectivity for the purpose of extracting features, a hierarchical feature selection algorithm to select the most significant features, and finally machine learning models. We have used the Simultaneous Task EEG Workload (STEW) dataset, an open-access collection of raw EEG data from 48 subjects. We extracted brain-effective connectivities by the direct directed transfer function and then selected the top 30 connectivities for each standard frequency band. Then we applied three feature selection algorithms (forward feature selection, Relief-F, and minimum-redundancy-maximum-relevance) on the top 150 features from all frequencies. Finally, we applied sevenfold cross-validation on four machine learning models (support vector machine (SVM), linear discriminant analysis, random forest, and decision tree). The results revealed that SVM as the machine learning model and forward feature selection as the feature selection method work better than others and could classify the mental workload levels with accuracy equal to 89.53% (± 1.36).

Validating the Effectiveness of the Patient-Centered Cancer Care Framework by Assessing the Impact of Work System Factors on Patient-Centered Care and Quality of Care: Interview Study With Newly Diagnosed Cancer Patients.

BACKGROUND: Patients with cancer who have recently been diagnosed have distinct requirements compared to cancer survivors. It is crucial to take into account their unique needs to ensure that they make informed decisions and are receptive to the care provided. OBJECTIVE: This study suggested a framework titled Effectiveness of Patient-Centered Cancer Care that considers the needs of newly diagnosed patients with cancer and related work system factors. This study investigated how work system factors influence the perceptions of patient-centered care, quality of care, and associated outcomes among newly diagnosed patients with cancer. Patient-centered care is defined in terms of workload and communication considerations, whereas the quality of care is assessed through indicators such as trust in physicians, satisfaction with care, and perceptions of technology. METHODS: This study used qualitative data collected through interviews with newly diagnosed patients with cancer (N=20) right after their first visits with their physicians. Thematic analysis was conducted to validate the 5 hypotheses of the framework, mapping the interactions among quality of care, patient-centered care, and work system factors. RESULTS: We found that workload and patient-centered communication impact the quality of care and that the work system elements impact the patient-centeredness (workload and communication) and the quality of care (trust in physicians, satisfaction with care, and perception of technology use). CONCLUSIONS: Qualitatively validating the proposed Effectiveness of Patient-Centered Cancer Care framework, this study demonstrated its efficacy in elucidating the interplay of various factors. The framework holds promise for informing interventions geared toward enhancing patients' experiences during their initial visits after diagnosis. There is a pressing need for heightened attention to the organizational design, patient processes, and collaborative efforts among diverse stakeholders and providers to optimize the overall patient experience.

The effect of electronic medical records on medication errors, workload, and medical information availability among qualified nurses in Israel- a cross sectional study.

BACKGROUND: Errors in medication administration by qualified nursing staff in hospitals are a significant risk factor for patient safety. In recent decades, electronic medical records (EMR) systems have been implemented in hospitals, and it has been claimed that they contribute to reducing such errors. However, systematic research on the subject in Israel is scarce. This study examines the position of the qualified nursing staff regarding the impact of electronic medical records systems on factors related to patient safety, including errors in medication administration, workload, and availability of medical information. METHODS: This cross-sectional study examines three main variables: Medication errors, workload, and medical information availability, comparing two periods- before and after EMR implementation based on self-reports. A final sample of 591 Israeli nurses was recruited using online private social media groups to complete an online structured questionnaire. The questionnaires included items assessing workload (using the Expanding Nursing Stress Scale), medical information availability (the Carrington-Gephart Unintended Consequences of Electronic Health Record Questionnaire), and medical errors (the Medical Error Checklists). Items were assessed twice, once for the period before the introduction of electronic records and once after. In addition, participants answered open-ended questions that were qualitatively analyzed. RESULTS: Nurses perceive the EMR as reducing the extent of errors in drug administration (mean difference = -0.92 ± 0.90SD, p < 0.001), as well as the workload (mean difference = -0.83 ± 1.03SD, p < 0.001) by ∼ 30% on average, each. Concurrently, the systems are perceived to require a longer documentation time at the expense of patients' treatment time, and they may impair the availability of medical information by about 10% on average. CONCLUSION: The results point to nurses' perceived importance of EMR systems in reducing medication errors and relieving the workload. Despite the overall positive attitudes toward EMR systems, nurses also report that they reduce information availability compared to the previous pen-and-paper approach. A need arises to improve the systems in terms of planning and adaptation to the field and provide appropriate technical and educational support to nurses using them.

Reproducible machine learning research in mental workload classification using EEG.

This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible machine learning research using EEG and used these to assess the current state of reproducibility in mental workload modeling. We first started by summarizing the current state of reproducibility efforts in machine learning and in EEG. Next, we performed a systematic literature review on Scopus, Web of Science, ACM Digital Library, and Pubmed databases to find studies about reproducibility in mental workload prediction using EEG. All of this previous work was used to formulate guidelines, which we structured along the widely recognized Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. By using these guidelines, researchers can ensure transparency and comprehensiveness of their methodologies, therewith enhancing collaboration and knowledge-sharing within the scientific community, and enhancing the reliability, usability and significance of EEG and machine learning techniques in general. A second systematic literature review extracted machine learning studies that used EEG to estimate mental workload. We evaluated the reproducibility status of these studies using our guidelines. We highlight areas studied and overlooked and identify current challenges for reproducibility. Our main findings include limitations on reporting performance on unseen test data, open sharing of data and code, and reporting of resources essential for training and inference processes.