A systematic review of deep learning-based spinal bone lesion detection in medical images.

Spinal bone lesions encompass a wide array of pathologies, spanning from benign abnormalities to aggressive malignancies, such as diffusely localized metastases. Early detection and accurate differentiation of the underlying diseases is crucial for every patient's clinical treatment and outcome, with radiological imaging being a core element in the diagnostic pathway. Across numerous pathologies and imaging techniques, deep learning (DL) models are progressively considered a valuable resource in the clinical setting. This review describes not only the diagnostic performance of these models and the differing approaches in the field of spinal bone malignancy recognition, but also the lack of standardized methodology and reporting that we believe is currently hampering this newly founded area of research. In line with their established and reliable role in lesion detection, this publication focuses on both computed tomography and magnetic resonance imaging, as well as various derivative modalities (i.e. SPECT). After conducting a systematic literature search and subsequent analysis for applicability and quality using a modified QUADAS-2 scoring system, we confirmed that most of the 14 identified studies were plagued by major limitations, such as insufficient reporting of model statistics and data acquisition, a lacking external validation dataset, and potentially biased annotation. Although we experienced these limitations, we nonetheless conclude that the potential of these methods shines through in the presented results. These findings underline the need for more stringent quality controls in DL studies, as well as model development to afford increased insight and progress in this promising novel field.

Economy of Standards: European Association of Urology Guideline Changes Influence Treatment Costs in Stage I Testicular Cancer Patients.

OBJECTIVE: The study aimed to calculate direct medical costs (DMC) during the first year of diagnosis and to evaluate the impact of guideline changes on treatment costs in clinical stage (CS) I testicular germ cell tumor (TGCT) patients in a German healthcare system. MATERIALS AND METHODS: Healthcare expenditures as DMC during the first year of diagnosis for 307 TGCT patients in CS I treated at our institution from 1987 to 2013 were calculated from the statutory health insurance perspective using patient level data. Three periods were defined referring to the first European Association of Urology (EAU) guideline in 2001 as well as to subsequent major guideline changes in 2005 and 2010. Data source for cost calculations were the German Diagnosis Related Groups system for inpatient stays (version 2014) and the German system for reimbursement of outpatient care (EBM - Einheitlicher Bewertungsmaßstab, edition 2014). RESULTS: During our 25 years of study period, mean DMC in the first year after diagnosis for the entire cohort of TGCT patients in CS I almost halved from EUR 13.000 to EUR 6.900 (p < 0.001). From 1987 to 2001, DMC for CS I seminomatous germ cell tumor (SGCT) patients were EUR 13.790 ± 4.700. From 2002 to 2010, mean costs were EUR 10.900 ± 5.990, and from 2011 to 2013, mean costs were EUR 5.190 ± 3.700. For CS I non-seminomatous germ cell tumor (NSGCT) patients, from 1987 to 2001, mean DMC were EUR 11.650 ± 5.690. From 2002 to 2010, mean costs were EUR 11.230 ± 5.990, and from 2011 to 2013, mean costs were EUR 11.170 ± 7.390. Follow-up examinations became less frequent over time, which caused a significant cost reduction for NSGCT (p = 0.042) while costs remained stable for SGCT. When adding costs of relapse treatment, active surveillance (AS) was the most cost-effective adjuvant treatment option in CS I NSGCT whereas one course carboplatin or AS caused similar expenditures in SGCT patients. CONCLUSION: The introduction of the EAU guidelines in 2001 caused a decrease in DMC in CS I seminoma patients. This cost reduction mainly took place due to the declining importance of radiation therapy. No substantial changes were seen in patients with CS I NSGCT. Costs for follow-up care also diminished, but to a lesser degree. Even when considering expenditures for relapse treatment, AS remained cost-effective in CS I TCGT patients. Our data show that evidence-based medicine in TGCT can reduce DMC in the first year after diagnosis.

Quality of Life Gain After Septorhinoplasty: An Analysis of Health Utility and Cost Utility Values Associated with Septorhinoplasty.

PURPOSE: Septorhinoplasty is a common procedure performed in rhinology and facial plastic surgery. Despite this, the health benefits associated with the procedure remain controversial. In this study, a health utility assessment of patients undergoing septorhinoplasty was performed. Health gains associated with the procedure, and the cost at which they were acquired, were also determined. METHODS: Sixty-seven patients undergoing septorhinoplasty at a German tertiary-level hospital were included in the study. Study participants completed the Short Form 36 (SF-36) and satisfaction questionnaires before and 12 months after septorhinoplasty. The Short Form six-dimensional (SF-6D) instrument was used to acquire quality-adjusted life year (QALY) values from SF-36 responses, thus allowing estimation of pre- and post-operative health utilities. Health utility gains after septorhinoplasty were determined and combined with cost data to estimate cost per QALY gained. RESULTS: Patients undergoing septorhinoplasty reported mean pre-operative health utility values of 0.70 pre-operatively and 0.74 post-operatively resulting in health gains of 0.04 QALYs. Patients satisfied with their procedures had significant health utility gains, while dissatisfied patients did not experience any significant gains. The cost of septorhinoplasty to statutory health insurance was €3487.69. When compared to the baseline, the incremental utility ratio for septorhinoplasty was €94,797.30 per QALY gained. CONCLUSIONS: This study successfully estimated the health utilities and gains associated with septorhinoplasty. The findings indicate that the procedure has associated health gains but at a high cost-utility ratio. These values provide a reference point for further much-needed economic evaluations. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these evidence-based medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

[Artificial intelligence in intensive care medicine]. / Künstliche Intelligenz in der Intensivmedizin.

The integration of artificial intelligence (AI) into intensive care medicine has made considerable progress in recent studies, particularly in the areas of predictive analytics, early detection of complications, and the development of decision support systems. The main challenges remain availability and quality of data, reduction of bias and the need for explainable results from algorithms and models. Methods to explain these systems are essential to increase trust, understanding, and ethical considerations among healthcare professionals and patients. Proper training of healthcare professionals in AI principles, terminology, ethical considerations, and practical application is crucial for the successful use of AI. Careful assessment of the impact of AI on patient autonomy and data protection is essential for its responsible use in intensive care medicine. A balance between ethical and practical considerations must be maintained to ensure patient-centered care while complying with data protection regulations. Synergistic collaboration between clinicians, AI engineers, and regulators is critical to realizing the full potential of AI in intensive care medicine and maximizing its positive impact on patient care. Future research and development efforts should focus on improving AI models for real-time predictions, increasing the accuracy and utility of AI-based closed-loop systems, and overcoming ethical, technical, and regulatory challenges, especially in generative AI systems.

Unveiling patterns in human dominated landscapes through mapping the mass of US built structures.

Built structures increasingly dominate the Earth's landscapes; their surging mass is currently overtaking global biomass. We here assess built structures in the conterminous US by quantifying the mass of 14 stock-building materials in eight building types and nine types of mobility infrastructures. Our high-resolution maps reveal that built structures have become 2.6 times heavier than all plant biomass across the country and that most inhabited areas are mass-dominated by buildings or infrastructure. We analyze determinants of the material intensity and show that densely built settlements have substantially lower per-capita material stocks, while highest intensities are found in sparsely populated regions due to ubiquitous infrastructures. Out-migration aggravates already high intensities in rural areas as people leave while built structures remain - highlighting that quantifying the distribution of built-up mass at high resolution is an essential contribution to understanding the biophysical basis of societies, and to inform strategies to design more resource-efficient settlements and a sustainable circular economy.

Separate Medication Preparation Rooms Reduce Interruptions and Medication Errors in the Hospital Setting: A Prospective Observational Study.

BACKGROUND: Interruptions and errors during the medication process are common, but published literature shows no evidence supporting whether separate medication rooms are an effective single intervention in reducing interruptions and errors during medication preparation in hospitals. We tested the hypothesis that the rate of interruptions and reported medication errors would decrease as a result of the introduction of separate medication rooms. AIM: Our aim was to evaluate the effect of separate medication rooms on interruptions during medication preparation and on self-reported medication error rates. METHODS: We performed a preintervention and postintervention study using direct structured observation of nurses during medication preparation and daily structured medication error self-reporting of nurses by questionnaires in 2 wards at a major teaching hospital in Switzerland. RESULTS: A volunteer sample of 42 nurses was observed preparing 1498 medications for 366 patients over 17 hours preintervention and postintervention on both wards. During 122 days, nurses completed 694 reporting sheets containing 208 medication errors. After the introduction of the separate medication room, the mean interruption rate decreased significantly from 51.8 to 30 interruptions per hour (P < 0.01), and the interruption-free preparation time increased significantly from 1.4 to 2.5 minutes (P < 0.05). Overall, the mean medication error rate per day was also significantly reduced after implementation of the separate medication room from 1.3 to 0.9 errors per day (P < 0.05). CONCLUSIONS: The present study showed the positive effect of a hospital-based intervention; after the introduction of the separate medication room, the interruption and medication error rates decreased significantly.

Status quo and current trends of operating room management in Germany.

PURPOSE OF REVIEW: Ongoing healthcare reforms in Germany have required strenuous efforts to adapt hospital and operating room organizations to the needs of patients, new technological developments, and social and economic demands. This review addresses the major developments in German operating room management research and current practice. RECENT FINDINGS: The introduction of the diagnosis-related group system in 2003 has changed the incentive structure of German hospitals to redesign their operating room units. The role of operating room managers has been gradually changing in hospitals in response to the change in the reimbursement system. Operating room managers are today specifically qualified and increasingly externally hired staff. They are more and more empowered with authority to plan and control operating rooms as profit centers. For measuring performance, common perioperative performance indicators are still scarcely implemented in German hospitals. In 2008, a concerted time glossary was established to enable consistent monitoring of operating room performance with generally accepted process indicators. These key performance indicators are a consistent way to make a procedure or case - and also the effectiveness of the operating room management - more transparent. SUMMARY: In the presence of increasing financial pressure, a hospital's executives need to empower an independent operating room management function to achieve the hospital's economic goals. Operating room managers need to adopt evidence-based methods also from other scientific fields, for example management science and information technology, to further sustain operating room performance.

How work context affects operating room processes: using data mining and computer simulation to analyze facility and process design.

The complexity of the operating room (OR) requires that both structural (eg, department layout) and behavioral (eg, staff interactions) patterns of work be considered when developing quality improvement strategies. In our study, we investigated how these contextual factors influence outpatient OR processes and the quality of care delivered. The study setting was a German university-affiliated hospital performing approximately 6000 outpatient surgeries annually. During the 3-year-study period, the hospital significantly changed its outpatient OR facility layout from a decentralized (ie, ORs in adjacent areas of the building) to a centralized (ie, ORs in immediate vicinity of each other) design. To study the impact of the facility change on OR processes, we used a mixed methods approach, including process analysis, process modeling, and social network analysis of staff interactions. The change in facility layout was seen to influence OR processes in ways that could substantially affect patient outcomes. For example, we found a potential for more errors during handovers in the new centralized design due to greater interdependency between tasks and staff. Utilization of the mixed methods approach in our analysis, as compared with that of a single assessment method, enabled a deeper understanding of the OR work context and its influence on outpatient OR processes.

Organizational coherence in health care organizations: conceptual guidance to facilitate quality improvement and organizational change.

OBJECTIVE: We sought to improve our understanding of how health care quality improvement (QI) methods and innovations could be efficiently and effectively translated between settings to reduce persistent gaps in health care quality both within and across countries. We aimed to examine whether we could identify a core set of organizational cultural attributes, independent of context and setting, which might be associated with success in implementing and sustaining QI systems in health care organizations. METHODS: We convened an international group of investigators to explore the issues of organizational culture and QI in different health care contexts and settings. This group met in person 3 times and held a series of conference calls to discuss emerging ideas over 2 years. Investigators also conducted pilot studies in their home countries to examine the applicability of our conceptual model. RESULTS AND CONCLUSIONS: We suggest that organizational coherence may be a critical element of QI efforts in health care organizations and propose that there are 3 key components of organizational coherence: (1) people, (2) processes, and (3) perspectives. Our work suggests that the concept of organizational coherence embraces both culture and context and can thus help guide both researchers and practitioners in efforts to enhance health care QI efforts, regardless of organizational type, location, or context.

Organizational coherence in health care organizations: conceptual guidance to facilitate quality improvement and organizational change.

OBJECTIVE: We sought to improve our understanding of how health care quality improvement (QI) methods and innovations could be efficiently and effectively translated between settings to reduce persistent gaps in health care quality both within and across countries. We aimed to examine whether we could identify a core set of organizational cultural attributes, independent of context and setting, which might be associated with success in implementing and sustaining QI systems in health care organizations. METHODS: We convened an international group of investigators to explore the issues of organizational culture and QI in different health care contexts and settings. This group met in person 3 times and held a series of conference calls to discuss emerging ideas over 2 years. Investigators also conducted pilot studies in their home countries to examine the applicability of our conceptual model. RESULTS AND CONCLUSIONS: We suggest that organizational coherence may be a critical element of QI efforts in health care organizations and propose that there are 3 key components of organizational coherence: (1) people, (2) processes, and (3) perspectives. Our work suggests that the concept of organizational coherence embraces both culture and context and can thus help guide both researchers and practitioners in efforts to enhance health care QI efforts, regardless of organizational type, location, or context.