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BACKGROUND: Every hospital manager aims to build harmonious, mutually beneficial, and steady-state departments. Therefore, it is important to explore a hospital department development assessment model based on objective hospital data. OBJECTIVE: This study aims to use a novel machine learning algorithm to identify key evaluation indexes for hospital departments, offering insights for strategic planning and resource allocation in hospital management. METHODS: Data related to the development of a hospital department over the past 3 years were extracted from various hospital information systems. The resulting data set was mined using neural machine algorithms to assess the possible role of hospital departments in the development of a hospital. A questionnaire was used to consult senior experts familiar with the hospital to assess the actual work in each hospital department and the impact of each department's development on overall hospital discipline. We used the results from this questionnaire to verify the accuracy of the departmental risk scores calculated by the machine learning algorithm. RESULTS: Deep machine learning was performed and modeled on the hospital system training data set. The model successfully leveraged the hospital's training data set to learn, predict, and evaluate the working and development of hospital departments. A comparison of the questionnaire results with the risk ranking set from the departments machine learning algorithm using the cosine similarity algorithm and Pearson correlation analysis showed a good match. This indicates that the department development assessment model and risk score based on the objective data of hospital systems are relatively accurate and objective. CONCLUSIONS: This study demonstrated that our machine learning algorithm provides an accurate and objective assessment model for hospital department development. The strong alignment of the model's risk assessments with expert opinions, validated through statistical analysis, highlights its reliability and potential to guide strategic hospital management decisions.

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Patient participation is considered important for the safety and quality of care. The patient's perception of actually being able to participate in healthcare, namely, the sense of participation, may influence patient satisfaction (PS). This study aimed to quantitatively determine the relationship between sense of participation to healthcare and PS. A questionnaire survey was conducted among 100 inpatients from each of the 5 target hospitals. The questionnaire included 6 PS items and 4 patient achievement goals, which were indicators of whether the patients had a sense of participation. The response rate was 60.6% (303/500). Patients who perceived that they could choose a treatment that reflected their values and wishes had significantly higher scores on all PS items. Patients who achieved the goal of "I want to be a member of the medical team and participate actively in treatment and safety activities" showed significantly higher PS related to coping to reduce pain and symptoms. Additionally, patients who achieved the goal of "I believe I am able to voluntarily learn about the disease/treatment and use it to make decisions" had significantly higher PS related to psychological support. Sense of participation may improve PS in a wide range of areas. Hospitals and healthcare workers are expected to empower patients to develop a sense of participation.

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The growing demand for easily available healthcare in recent years has fuelled the digitization of healthcare services. The Hospital Management System (HMS) software stands out as a comprehensive solution among the software systems and tools that hospitals and clinics are developing in tandem with this trend. In order to effectively manage many facets of hospital operations, in this paper, we propose an approach for investigating software of this kind. Thus, we characterise the HMS software as a unique sort of batch arrival retrial queueing system (QS) that can handle both ordinary and priority patient demands. Furthermore, it permits patient resistance (balk) and departure (renege) in specific circumstances. The proposed model is additionally deployed within the framework of Bernoulli working vacation. The supplementary variable technique (SVT) has been utilised to obtain the necessary results. ANFIS, a soft computing tool, is used to validate the analytical results as well. Finally, this study seeks to enhance the cost-effectiveness of software creation by employing four unique optimization methods, aiming to achieve optimal efficiency in resource utilization.

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Aims/Background: In an era where patient-centred care is paramount, effectively managing and analyzing hospital complaints is crucial for improving service quality and patient satisfaction. This study examines hospital complaints to enhance management practices by differentiating between surgery-related and non-surgery-related grievances. By identifying patterns in complaint types and outcomes, we aim to inform targeted quality improvement strategies that address specific patient concerns and boost operational efficiency. Methods: The study utilized data from an internal complaint management system over one year. Complaints were categorized as either surgery-related or non-surgery-related. Descriptive statistics and cross-tabulation analysis were employed to examine the data. The sample comprised 132 complaints, with 67 being surgery-related and 65 non-surgery-related. Results: The analysis revealed that surgery-related complaints frequently involved issues with 'Patient Communication' and 'Surgical Error', while non-surgery-related complaints were primarily about the 'Medical Treatment Process'. The Surgery Department received the highest number of complaints, indicating a critical area for intervention. Additionally, the correlation between complaint types and outcomes provided insights into potential areas for improvement. Conclusion: The findings highlight the need for targeted communication training and procedural enhancements in surgical departments. Non-surgical departments should focus on improving treatment protocols and transparency. These strategies can reduce complaints and improve patient satisfaction. Future research should develop and test interventions based on these insights to further enhance healthcare quality.

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Background: Patient safety is a critical concern in healthcare systems worldwide. Understanding the interplay between safety culture and incident reporting behaviors among healthcare professionals is essential for improving patient outcomes. Objective: To examine the perception of patient safety culture among healthcare professionals in Saudi Arabia and its impact on their attitudes toward incident reporting, considering variables such as level of care, ownership, and professional background. Methods: A cross-sectional survey was distributed both online and onsite to 453 healthcare professionals, with 402 completing it. The survey assessed various dimensions of safety culture and incident reporting behaviors. Statistical analysis included correlation matrices, regression models, and comparative assessments across different types of hospital settings. Results: The study revealed significant associations between perceived safety culture and incident reporting behaviors (p < 0.01). Specifically, management (B = 0.64, p < 0.01), working conditions (r = 0.51, p < 0.01), and job satisfaction (r = 0.52, p < 0.01) were identified as crucial for improvement. The study highlighted the importance of fostering a blame-free culture and establishing clear reporting guidelines to enhance reporting frequencies. Conclusion: Enhancing the perception of patient safety within healthcare settings positively influences the likelihood of incident reporting. Strategic interventions aimed at improving safety culture could significantly advance patient care quality.

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A concerning number of hospitals have closed in the US in recent years and there are many other hospitals that are at significant risk of closure in the coming years. The COVID-19 pandemic magnified the trend of hospital closures, raising further concerns about the potential impacts of hospital closures and the important need for devising policies that can mitigate them. To devise such policies, however, we first need to better understand the main drivers, potential adaptations by providers, and the widespread public impacts of hospital closures. We also need to recognize various changes in care delivery modes and related practices. Understanding these complex issues can allow policymakers to shift their focus from the narrow scope of "access to care," and instead take into account various other consequences of hospital closures that are currently largely overlooked but need to be part of policy discussions.

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In the medical field, the importance of online reviews is escalating. However, the complexity of responding to these reviews is profound, as such anonymous critiques may encompass not only emotionally distressing content but also potentially malicious criticisms directed at healthcare professionals. While recognizing the vital role of patient feedback, there exists a necessity for a collective approach to managing online commentary. This effort seeks to strike a balance between patient satisfaction and the safeguarding of healthcare practitioners and administrative staff. We believe the global medical community must establish guidelines to effectively handle such scenarios, thereby contributing to the sustainability of patient-centered services.

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To alleviate the medical burden of lung cancer surgery and facilitate the implementation of the national hierarchical diagnosis and treatment policy, it is imperative to establish a hierarchical diagnosis and treatment system for day surgery of lung cancer. Identifying key quality control checkpoints in day surgery of lung cancer is essential to enhance medical quality, ensure safety, and improve the efficiency of medical services. These efforts aim to uphold a safe and well-structured progression of day surgery practices in China. The Chinese Expert Consensus Group on Day Surgery Management of Lung Cancer has convened national experts in relevant fields and integrated the latest research findings from both domestic and international sources to craft the Chinese Expert Consensus on Day Surgery Management of Lung Cancer (2024 Edition). This consensus is founded on the principles of holistic management of lung cancer surgery and comprehensive patient care throughout their medical journey. It encompasses preoperative assessments, anesthesia protocols, surgical procedures, postoperative care, hospital-community collaboration initiatives, and emergency response strategies. The primary objective of this expert consensus is to furnish research assistance and clinical recommendations to advance the practice of day surgery for lung cancer patients in China.
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Introduction A few cancelled surgeries are due to surgical equipment issues representing a significant burden to both patients and National Health Service (NHS) hospitals on waiting lists. Despite this, there remain very few strategies designed to tackle these avoidable cancellations, especially in combination with digitisation. Our aim was to demonstrate improved efficiency through a pilot study in collaboration with Broomfield Hospital (Broomfield, United Kingdom), MediShout Ltd (London, United Kingdom), and B. Braun Medical Ltd (Sheffield, United Kingdom) with the digitalisation of the equipment repair pathway. Methods MediShout digitised two distinct repair pathways: ad-hoc repairs and maintenance equipment services (MES). Pre- and post-digitisation outcome measures were collected including the number of process steps, staff contribution time, non-staff continuation time, turnaround time, cancelled surgeries, planned preventative maintenance compliance, and staff satisfaction. The number of steps, staff contribution time, and non-staff contribution time were calculated using cognitive task analyses and time-motion studies, respectively. Turnaround time and cancellation data were taken from existing hospital data sets and staff satisfaction was measured through two staff surveys. Results Digitising the ad-hoc repair pathway reduced the number of steps by 18 (118 to 100) and saved 74 minutes of total staff time (Broomfield Hospital and B. Braun) per repair, resulting in annual efficiency savings of £21,721.48. Digitising the MES repair pathway reduced the number of steps by 13 (74 to 61) and saved 56 minutes of total staff time per repair, resulting in annual efficiency savings of £3469.44. Turnaround time for the repaired kit decreased by 14 days and 29 days for the digital ad-hoc and digital MES pathways, respectively. Elective operations cancelled due to equipment issues decreased by 44%, from 1.5 operations/month pre-pilot to 0.83 operations/month post-pilot. Planned preventative maintenance compliance across the MES pathway increased by 67% (33% to 100%). Staff satisfaction with the repair pathway improved from 12% to 96%. Conclusion This pilot study showcases the numerous benefits that can be achieved through digitisation and offers an innovative case study to approach avoidable cancellations due to equipment failure.

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AIMS: Despite advances in therapies, the disease burden of heart failure (HF) has been rising globally. International comparisons of HF management and outcomes may reveal care patterns that improve outcomes. Accordingly, we examined clinical management and patient outcomes in older adults hospitalized for acute HF in the United States (US) and Japan. METHODS: We identified patients aged >65 who were hospitalized for HF in 2013 using US Medicare data and the Japanese Registry of Acute Decompensated Heart Failure (JROADHF). We described patient characteristics, management, and healthcare utilization and compared outcomes using multivariable Cox regression during and after HF hospitalization. RESULTS: Among 11 193 Japanese and 120 289 US patients, age and sex distributions were similar, but US patients had higher comorbidity rates. The length of stay was longer in Japan (median 18 vs. 5 days). While Medicare patients had higher use of implantable cardioverter defibrillator or cardiac resynchronization therapy during hospitalization (1.32% vs. 0.6%), Japanese patients were more likely to receive cardiovascular medications at discharge and to undergo cardiac rehabilitation within 3 months of HF admission (31% vs. 1.6%). Physician follow-up within 30 days was higher in Japan (77% vs. 57%). Cardiovascular readmission, cardiovascular mortality and all-cause mortality were 2.1-3.7 times higher in the US patients. The per-day cost of hospitalization was lower in Japan ($516 vs. $1323). CONCLUSIONS: We observed notable differences in the management, outcomes and costs of HF hospitalization between the US and Japan. Large differences in length of hospitalization, cardiac rehabilitation rate and outcomes warrant further research to determine the optimal length of stay and assess the benefits of inpatient cardiac rehabilitation to reduce rehospitalization and mortality.

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BACKGROUND: Early warning scores (EWS) are routinely used in hospitals to assess a patient's risk of deterioration. EWS are traditionally recorded on paper observation charts but are increasingly recorded digitally. In either case, evidence for the clinical effectiveness of such scores is mixed, and previous studies have not considered whether EWS leads to changes in how deteriorating patients are managed. OBJECTIVE: This study aims to examine whether the introduction of a digital EWS system was associated with more frequent observation of patients with abnormal vital signs, a precursor to earlier clinical intervention. METHODS: We conducted a 2-armed stepped-wedge study from February 2015 to December 2016, over 4 hospitals in 1 UK hospital trust. In the control arm, vital signs were recorded using paper observation charts. In the intervention arm, a digital EWS system was used. The primary outcome measure was time to next observation (TTNO), defined as the time between a patient's first elevated EWS (EWS ≥3) and subsequent observations set. Secondary outcomes were time to death in the hospital, length of stay, and time to unplanned intensive care unit admission. Differences between the 2 arms were analyzed using a mixed-effects Cox model. The usability of the system was assessed using the system usability score survey. RESULTS: We included 12,802 admissions, 1084 in the paper (control) arm and 11,718 in the digital EWS (intervention) arm. The system usability score was 77.6, indicating good usability. The median TTNO in the control and intervention arms were 128 (IQR 73-218) minutes and 131 (IQR 73-223) minutes, respectively. The corresponding hazard ratio for TTNO was 0.99 (95% CI 0.91-1.07; P=.73). CONCLUSIONS: We demonstrated strong clinical engagement with the system. We found no difference in any of the predefined patient outcomes, suggesting that the introduction of a highly usable electronic system can be achieved without impacting clinical care. Our findings contrast with previous claims that digital EWS systems are associated with improvement in clinical outcomes. Future research should investigate how digital EWS systems can be integrated with new clinical pathways adjusting staff behaviors to improve patient outcomes.

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BACKGROUND: Organizational learning (OL) and interprofessional collaboration (IPC) are said to enhance medical safety in hospitals, but the relationship between these variables has not been quantitatively tested. OBJECTIVE: This study examines the mediating effects of IPC on the relationship between OL and safety climate (improvement, compliance, and patient/family involvement). METHODS: An anonymous self-reporting questionnaire was administered to 1,495 healthcare workers from November 2021 to January 2022. The questions regarded the hospital's safety climate, OL, and IPC. A mediation analysis using structural equation modeling was conducted to examine the mediating role of IPC on the relationship between OL and the three safety climates. The indirect effect was estimated using 2,000 bootstrap samples. RESULTS: Responses from 643 healthcare workers were analyzed. The direct effects of OL were 𝛽 = .74, 75 (p < .001) on improvement and involvement and 𝛽 = 0.1 (p > .05) on compliance. The indirect effects of IPC on improvement and involvement were 𝛽 = .14 (95%CI: .00 ∼ .06) and 𝛽 = .37 (95%CI: .04 ∼ .09), respectively. CONCLUSION: This study determined the mechanisms that enhance a hospital's safety climate, demonstrating that IPC mediates the relationship between OL and improvement and patient/family involvement. However, OL and IPC are not related to compliance.

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OBJECTIVES: Out-of-hospital cardiac arrest (OHCA) survival differences due to sex remain controversial. Previous studies adjusted for prehospital variables, but not sex-based in-hospital management disparities. We aimed to investigate age and sex-related differences in survival outcomes in OHCA patients after adjustment for sex-based in-hospital management disparities. METHODS: This retrospective observational study used a prospective multicenter OHCA registry to review data of patients from October 2015 to December 2020. The primary outcome was good neurological outcome defined as cerebral performance category score 1 or 2. We performed multivariable logistic regression and restricted cubic spline analysis according to age. RESULTS: Totally, 8988 patients were analyzed. Women showed poorer prehospital characteristics and received fewer coronary angiography, percutaneous coronary interventions, targeted temperature management, and extracorporeal membrane oxygenation than men. Good neurological outcomes were lower in women than in men (5.8% vs. 12.2%, p < 0.001). After adjustment for age, prehospital variables, and in-hospital management, women were more likely to have good neurological outcomes than men (adjusted odds ratio [aOR] 1.37, 95% confidence interval [CI] 1.07-1.74, p = 0.012). The restricted cubic spline curve showed a reverse sigmoid pattern of adjusted predicted probability of outcomes and dynamic associations of sex and age-based outcomes. CONCLUSIONS: Women with OHCA were more likely to have good neurological outcome after adjusting for age, prehospital variables, and sex-based in-hospital management disparities. There were non-linear associations between sex and survival outcomes according to age and age-related sex-based differences.

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BACKGROUND: Epidermolysis bullosa (EB), characterized by skin fragility and blistering, often requires hospitalization. Training for inpatient management of EB is limited, with no unified recommendations available in North America. OBJECTIVE: To develop consensus-derived best practices for hands-on inpatient management of EB in both the neonatal and postneonatal period. METHODS: A modified Delphi method (expert-based input via 2 surveys and a final review) was implemented. Available guidelines from EB Clinical Research Consortium centers were analyzed to determine areas of focus and formulate statements to be voted on by EB Clinical Research Consortium members, experienced EB nurses, and select family members. Study participants evaluated statements using a Likert scale: statements with at least 70% agreement were accepted; statements with 30% or more disagreement were rejected. RESULTS: Ten areas of focus were identified. Delphi participants included 15 dermatologists, 8 nurses, and 6 nonhealth care caregivers. Consensus was established on 103/119 neonatal statements and 105/122 postneonatal statements; no statements were rejected. Most recommendations applied to both age groups. LIMITATIONS: Recommendations may require adjustment based on individual patient's clinical context. CONCLUSION: Using the Delphi method, a consensus-derived resource for hospital-based health care professionals who manage patients with EB has been developed to improve the quality of inpatient care.

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OBJECTIVES: The objective of this study was to analyse and detail surgical process improvement activities that achieve the highest economic impact. METHODS: Over 4 years, a team of technicians and healthcare professionals implemented a set of Lean surgical process improvement projects at Vall d'Hebron University Hospital (VHUH), Barcelona, Spain. Methods employed in the study are common in manufacturing environments and include reducing waiting and changeover time (SMED), reducing first time through, pull, and continuous flow. Projects based on these methods now form part of the daily routine in the surgical process. The economic impact on the hospital's surgical activity budget was analysed. RESULTS: Process improvements have led to annual operational savings of over EUR 8.5 million. These improvements include better patient flow, better management of information between healthcare professionals, and improved logistic circuits. CONCLUSIONS: The current cultural shift towards process management in large hospitals implies shifting towards results-based healthcare, patient-perceived value (VBHC), and value-added payment. A Lean project implementation process requires long-term stability. The reason a considerable number of projects fail to complete process improvement projects is the difficulty involved in establishing the project and improving management routines. Few studies in the literature have investigated the economic impact of implementing Lean management a posteriori, and even fewer have examined actual cases. In this real case study, changes to surgical block management were initiated from stage zero. After being carefully thought through and designed, changes were carried out and subsequently analysed.

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This comprehensive review explores the transformative impact of artificial intelligence (AI) on hospital management, delving into its applications, challenges, and future trends. Integrating AI in administrative functions, clinical operations, and patient engagement holds significant promise for enhancing efficiency, optimizing resource allocation, and revolutionizing patient care. However, this evolution is accompanied by ethical, legal, and operational considerations that necessitate careful navigation. The review underscores key findings, emphasizing the implications for the future of hospital management. It calls for a proactive approach, urging stakeholders to invest in education, prioritize ethical guidelines, foster collaboration, advocate for thoughtful regulation, and embrace a culture of innovation. The healthcare industry can successfully navigate this transformative era through collective action, ensuring that AI contributes to more effective, accessible, and patient-centered healthcare delivery.

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BACKGROUND: Hospitals with higher septic shock case volume demonstrated lower hospital mortality. We conducted this study to investigate whether this phenomenon was only caused by the increase in the number of admissions or the need to improve the medical care capacity in septic shock at the same time. METHODS: Seven-hundred and eighty-seven hospitals from China collected in a survey from January 1, 2021 to December 31, 2021. Medical care capacity for septic shock was explored by patients with septic shock in intensive care units (ICU) divided into beds, intensivists, and nurses respectively. MAIN RESULTS: The proportion of ICU patients with septic shock was negatively associated with the patient mortality of septic shock (Estimate [95%CI], -0.2532 [-0.5038, -0.0026]) (p-value 0.048). The ratios of patients with septic shock to beds, intensivists, and nurses were negatively associated with mortality of septic shock (Estimate [95%CI], -0.370 [-0.591, -0.150], -0.136 [-0.241, -0.031], and -0.774 [-1.158, -0.389]) (p-value 0.001, 0.011 and < 0.001). Severe pneumonia, the most common infection that caused a septic shock, correlated positively with its mortality (Estimate [95%CI], 0.1002 [0.0617, 0.1387]) (p-value < 0.001). CONCLUSIONS: Hospitals with higher medical care capacity for septic shock were associated with lower hospital mortality.

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BACKGROUND: Transient ischemic attack (TIA) is defined as a transient episode of neurologic dysfunction, without acute infarction or tissue injury lasting less than 24 h. Previous data suggest TIA precedes 15% of ischemic strokes, with a higher risk in the first week. Current practice guidelines advise evaluation through rapid neurological visit or admission to hospital. We provide data on TIA incidence in Trieste, and we compare three different types of assessment: day hospital (DH), stroke unit (SU), and emergency department/outpatients (ED). METHODS: This is a 5-year retrospective study of transient cerebrovascular events admitted in the University Hospital of Trieste (230.623 inhabitants), between 2016 and 2020. We calculated TIA prevalence in Trieste district's general population. Our primary endpoint is ischemic recurrences within 90 days, and we evaluate the possible association between different types of management. RESULTS: TIA incidence rate was 0.54/1000 inhabitants. In the multivariate analysis remained significantly associated with primary endpoint: ABCD2 (OR 1.625, CI 95% 1.114-2.369, p = 0.012) and DH evaluation (OR 0.260, CI 95% 0.082-0.819, p = 0.021). CONCLUSIONS: Incidence of TIA in Trieste district is in line with previous data. We demonstrate the crucial role of DH evaluation over the outpatient/ED in reducing overall mortality and recurrence rate. Prompt recognition of patients at high risk for cerebrovascular events and specialist follow-up may reduce the incidence of major vascular events and death.

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BACKGROUND: In hospital management, pinpointing steps that most enhance operating room (OR) throughput is challenging. While prior literature has utilized discrete event simulation (DES) to study specific strategies such as scheduling and resource allocation, our study examines an earlier planning phase, assessing all workflow stages to determine the most impactful steps for subsequent strategy development. METHODS: DES models real-world systems by simulating sequential events. We constructed a DES model for thoracic, gastrointestinal, and orthopedic surgeries summarized from a tertiary Chinese hospital. The model covers preoperative preparations, OR occupation, and OR preparation. Parameters were sourced from patient data and staff experience. Model outcome is OR throughput. Post-validation, scenario analyses were conducted for each department, including: (1) improving preoperative patient preparation time; (2) increasing PACU beds; (3) improving OR preparation time; (4) use of new equipment to reduce the operative time of a selected surgery type; three levels of improvement (slight, moderate, large) were investigated. RESULTS: The first three improvement scenarios resulted in a 1%-5% increase in OR throughput across the three departments. Large reductions in operative time of the selected surgery types led to approximately 12%, 33%, and 38% increases in gastrointestinal, thoracic, and orthopedic surgery throughput, respectively. Moderate reductions resulted in 6%-17% increases in throughput and slight reductions of 1%-7%. CONCLUSIONS: The model could reliably reflect OR workflows of the three departments. Among the options investigated, model simulations suggest that improving OR preparation time and operative time are the most effective.

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