Real-time management of intra-hospital patient transport requests.

This paper addresses the management of patients' transportation requests within a hospital, a very challenging problem where requests must be scheduled among the available porters so that patients arrive at their destination timely and the resources invested in patient transport are kept as low as possible. Transportation requests arrive during the day in an unpredictable manner, so they need to be scheduled in real-time. To ensure that the requests are scheduled in the best possible manner, one should also reconsider the decisions made on pending requests that have not yet been completed, a process that will be referred to as rescheduling. This paper proposes several policies to trigger and execute the rescheduling of pending requests and three approaches (a mathematical formulation, a constructive heuristic, and a local search heuristic) to solve each rescheduling problem. A simulation tool is proposed to assess the performance of the rescheduling strategies and the proposed scheduling methods to tackle instances inspired by a real mid-size hospital. Compared to a heuristic that mimics the way requests are currently handled in our partner hospital, the best combination of scheduling method and rescheduling strategy produces an average 5.7 minutes reduction in response time and a 13% reduction in the percentage of late requests. Furthermore, since the total distance walked by porters is substantially reduced, our experiments demonstrate that it is possible to reduce the number of porters - and therefore the operating costs - without reducing the current level of service.

Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984-2022.

This study reviews scholarly publications on data envelopment analysis (DEA) studies on acute care hospital (ACH) efficiency published between 1984 and 2022 in scholarly peer-reviewed journals. We employ systematic literature review (SLR) method to identify and analyze pertinent past research using predetermined steps. The SLR offers a comprehensive resource that meticulously analyzes DEA methodology for practitioners and researchers focusing on ACH efficiency measurement. The articles reviewed in the SLR are analyzed and synthesized based on the nature of the DEA modelling process and the key findings from the DEA models. The key findings from the DEA models are presented under the following sections: effects of different ownership structures; impacts of specific healthcare reforms or other policy interventions; international and multi-state comparisons; effects of changes in competitive environment; impacts of new technology implementations; effects of hospital location; impacts of quality management interventions; impact of COVID-19 on hospital performance; impact of teaching status, and impact of merger. Furthermore, the nature of DEA modelling process focuses on use of sensitivity analysis; choice of inputs and outputs; comparison with Stochastic Frontier Analysis; use of congestion analysis; use of bootstrapping; imposition of weight restrictions; use of DEA window analysis; and exogenous factors. The findings demonstrate that, despite several innovative DEA extensions and hospital applications, over half of the research used the conventional DEA models. The findings also show that the most often used inputs in the DEA models were labor-oriented inputs and hospital beds, whereas the most frequently used outputs were outpatient visits, followed by surgeries, admissions, and inpatient days. Further research on the impact of healthcare reforms and health information technology (HIT) on hospital performance is required, given the number of reforms being implemented in many countries and the role HIT plays in enhancing care quality and lowering costs. We conclude by offering several new research directions for future studies.

Toward a roadmap for sustainable lean adoption in hospitals: a Delphi study.

BACKGROUND: The benefits of lean adoption in healthcare include improved process efficiency and quality of patient care. However, research indicates that lean implementation in healthcare, and specifically hospitals, is often not sustained. Furthermore, there is a need for maturity models that guide lean implementation, specifically in hospitals. This study develops a prescriptive maturity model named the Sustaining of Lean Adoption in Hospitals Roadmap (SOLAR) that acts as a practical guideline for the sustainable adoption of lean in hospitals. METHODS: The SOLAR has three theoretical foundations, namely lean implementation success factors in hospitals, implementation science, and change management theory. A systematic literature review was conducted to determine the lean implementation success factors in hospitals as the first building block. Secondly, practices from implementation science were used to create the action items in the SOLAR. Ten change steps were elicited from change management theory as the third theoretical building block of the roadmap. We refined the roadmap through three Delphi rounds that verified its useability in hospitals. RESULTS: The final SOLAR consists of four maturity phases (prepare, plan, experiment and learn, and sustain) and includes action items for each phase related to the hospital's strategy, resources, engaging of people, and culture. The action items and change management steps shown in the SOLAR are not intended as an exhaustive list but provide guidelines on aspects hospitals must consider when they aim to adopt lean sustainably. CONCLUSIONS: The strong theoretical base of the SOLAR enables hospitals to safely experiment and learn which implementation methods are best suited to their unique environment. The SOLAR is, therefore, an actionable guideline that informs both academics and practitioners involved in lean adoption in hospitals. This roadmap can guide future retrospective longitudinal or action research.

How well prepared are hospitals for future crises? Board members perceive their hospitals as resilient for acute crises.

Resilience is an organizational capacity in day-to-day practice and crisis situation performance. A one of a kind crisis for hospitals is the COVID-19 pandemic. The long duration and magnitude of this crisis offers the opportunity to gain insight into the complexity of crisis management and organizational resilience of hospitals. This interview study therefore explored the organizational resilience of Dutch hospitals during the first 14 months of the COVID-19 pandemic. Nine board members of nine Dutch hospitals were interviewed by means of a semi-structured interview that was built on thirteen indicators of organizational resilience. The results showed that board members considered their hospitals as resilient on almost all indicators. Their judgments varied about how prepared and ready for future crises they considered their hospital. According to board members, hospitals are mainly prepared for "acute" short-term crises, thanks to good crisis leadership, open communication and strong networks. A crisis as long as the COVID-19 pandemic was unprecedented and therefore more difficult to deal with. In between the infection waves, work processes were reflected upon to learn, anticipate and respond more smoothly to successive waves. However, the enduring nature of the COVD-19 crisis presented complex organizational challenges. Crisis operations were eventually scaled down and hospitals had to manage the crisis and regular care as two companies side by side. Each crisis manifests differently. Fostering trust in healthcare staff and allowing them to act autonomously during crises, while diligently monitoring external influences and potential future crises, are therefore paramount in developing organizational adaptive capacities.

Core elements of excellent hospital leadership: lessons from the five top-performing hospitals in China.

Substantial evidence indicates that leadership plays a critical role in an organization's success. Our study aims to conduct case studies on leadership attributes among China's five top-performing hospitals, examining their common practices. A semi-structured interview was conducted with 8 leaders, 39 managers, 19 doctors, and 16 nurses from the five sample hospitals in China. We collected information from these hospitals on the role of senior leadership, organizational governance, and social responsibility, aligning with the leadership assessment guidelines in the Baldrige Excellence Framework. Qualitative data underwent interpretation through content analysis, thematic analysis, and comparative analysis. This study adhered to the consolidated criteria for reporting qualitative research guidelines for reporting qualitative research. Our study revealed that the leaders of the five top-performing hospitals in China consistently established "Patient Needs First" as the core element of the hospital culture. Striving to build world-renowned hospitals with Chinese characteristics, the interviewees all believed strongly in scientific vigor, professionalism, and cooperative culture. The leaders adhered to a staff-centered approach, placing special emphasis on talent recruitment and development, creating a compensation system, and fostering a supportive environment conducive to enhancing medical knowledge, skills, and professional ethics. In terms of organizational governance, they continuously enhanced the communication between various departments and levels of staff, improved the quality and safety of medical care, and focused on innovative medical and scientific research, thereby establishing evidence-based, standardized hospital management with a feedback loop. Meanwhile, regarding social responsibility, they prioritized improvements in the quality of healthcare by providing international and domestic medical assistance, community outreach, and other programs. To a large extent, the excellent leadership of China's top-performing hospitals can be attributed to their commitment to a "Two-Pillared Hospital Culture," which prioritizes putting patient needs first and adopting a staff-centered approach. Furthermore, the leaders of these hospitals emphasize hospital performance, operations management, and social responsibility.

Formal and informal hospital emergency management practices: managing for safety and performance amid crisis.

Although formal preparedness for unexpected crises has long been a concern of health care policy and delivery, many hospitals struggled to manage staff and equipment shortages, precarious finances, and supply chain disruptions among other difficulties during the Coronavirus disease pandemic. Our purpose was to analyze how hospitals used formal and informal emergency management practices to maintain safe and high-quality care while responding to crisis. We conducted a qualitative study based on 26 interviews with hospital leaders and emergency managers from 12 US hospitals, purposively sampled to vary along geographic location, urban/rural delineation, size, resource availability, system membership, teaching status, and performance levels among other characteristics. In order to manage staff, space, supplies, and system- related challenges, hospitals engaged formal and informal practices around planning, teaming, and exchanging resources and information. Relying solely only on formal or informal practices proved inadequate, especially when prespecified plans, the incident command structure, and existing contracts and communication platforms failed to support resilient response. We identified emergent capabilities-imaginative planning, recombinant teaming, and transformational exchange-through which hospitals achieved harmonious interplay between the formal and informal practices of emergency management that supported safe care and resilience amid crisis. Managing emergent challenges for and amid crisis calls for health care delivery organizations to engage creative planning processes, enable motivated workers with diverse skill sets to team up, and establish rich inter- and intra-organizational partnerships that support vital exchange.

A model of the organizational resilience of hospitals in emergencies and disasters.

BACKGROUND: In the health system, hospitals are intricate establishments that offer vital medical services. Their resilience plays a crucial role in mitigating the societal repercussions of disasters. A hospital must possess the capacity to withstand risks, preserve its fundamental structure and operations, and enhance its preparedness by augmenting various capabilities and promptly recovering from the impacts of potential risks. It enables the hospital to attain a heightened level of readiness. Therefore, this study aimed to develop a resilience model tailored for hospitals to navigate crises and disasters effectively. METHODS: This mixed-method study was conducted in 2023 in three phases: (1) Identification of the factors influencing the organizational resilience of the hospital, (2) Evaluation of the influential factors by an expert panel. (3) Following the standardization process, we administered 371 questionnaires to individuals, such as university staff managers and supervisors, nursing managers, and research unit managers. The sample size was determined by multiplying the components by 10, resulting in 360 (10 * 36). Therefore, we selected a sample size of 371 participants. Structural Equation Modeling (SEM) was employed to examine the causal relationships between variables. These steps were performed using SPSS 25.0 and AMOS 22 software. Finally, we identified and presented the final model. We utilized AMOS 22 and applied the SEM to assess the correlation between the variables, with a significance level of 0.05. RESULTS: Findings indicate that the appropriate modeling identified five dimensions comprising 36 components. These dimensions include vulnerability, preparedness, support management, responsiveness and adaptability, and recovery after the disaster. The model demonstrates a good fit, as indicated by the X2/d indices with a value of 2.202, a goodness of fit index (GFI) of 0.832, a root mean square error of estimation (RMSEA) of 0.057, an adjusted comparative fit index (CFI) of 0.931, and a smoothed fit index (NFI) of 0.901. CONCLUSION: Enhancing hospital resilience is crucial for effective preparedness and response to accidents and disasters. Developing a localized tool for measuring resilience can help identify vulnerabilities, ensure service continuity, and inform rehabilitation programs. The proposed model is a suitable framework for assessing hospital resilience. Key factors include human resource scarcity, hospital specialization, and trauma center capacity. Hospitals should prioritize efficient resource allocation, information technology infrastructure, in-service training, waste management, and a proactive organizational framework to build resilience. By adopting this approach, hospitals can better respond to crises and disasters, ultimately reducing casualties and improving overall preparedness.

An Exploratory Study of Dynamic Capabilities and Performance Improvement in Hospitals.

GOAL: Recent efforts to push hospitals to provide high-value care have relied on payment incentives. However, evidence indicates that 70% to 90% of performance improvement projects do not achieve their desired goals. Therefore, in addition to managing external industry pressures, hospitals need to develop performance improvement (PI) capabilities that enable them to capitalize on improvement opportunities, effectively develop and adopt solutions, and ensure the sustainability of improvements over time. While operational capabilities enable hospitals to produce and deliver services, more is needed to attain and sustain superior performance. Dynamic capabilities drive changes in operational capabilities to meet environmental demands. Dynamic capabilities also enable hospitals to renew and reconfigure their resources to optimize performance. This paper proposes the dynamic-capabilities framework as an appropriate way to develop and manage PI capabilities in hospitals, and it discusses the implications of shifting to a strategy that is driven by dynamic-capabilities PI. METHODS: The research team designed a semi-structured interview based on a review of the literature to understand whether hospitals were engaging in the activities outlined in the dynamic-capabilities framework. Nine study participants were recruited from a convenience sample of hospital PI staff at hospitals in Massachusetts and New Hampshire. De-identified transcripts were entered into NVivo12 qualitative data analysis software, and data were thematically indexed and coded following the principles of content analysis. PRINCIPAL FINDINGS: PI structures, improvement methodologies, and weaknesses did not vary significantly among hospitals. Most hospitals had a PI department and were more likely to adopt PI projects initiated by top management. While PI staff were trained in improvement methodologies, no programs were in place that required the rest of the hospital staff to become familiar with PI methods. Common areas of weakness were PI project selection, communication, coordination, learning from current and former PI projects, and systematic approaches to sustain improvements. PRACTICAL APPLICATIONS: Dynamic PI capabilities provide an opportunity to systematically identify improvement opportunities, seize on and learn from those opportunities, and renew and reconfigure resources to optimize performance. Ad hoc PI projects are insufficient to enable a hospital to sustain superior performance. Internal and external pressures to deliver high-value patient care and services require hospitals to exceed their current PI efforts. By developing dynamic PI capabilities, hospitals will adopt a more systematic and effective approach to PI, which will likely result in superior performance.

Factors driving differences in the adoption of quality management practices among hospitals: A two-phase, sequential mixed-methods analysis.

BACKGROUND: Although all hospitals aim to deliver high-quality care, there is considerable variation in their adoption of quality management (QM) practices. Organizational and environmental factors are known to drive strategic decision-making in hospitals, but their impact on the adoption of QM practices remains unclear. PURPOSE: Our study aims to identify multiple organizational and environmental factors that explain variation in the adoption of QM practices among hospitals and to explore mechanisms underlying these relationships. METHODOLOGY: We conducted a two-phase, sequential mixed-methods study of German acute care hospitals. The quantitative phase used between-effects regressions to identify factors explaining variation in the number of QM practices adopted by hospitals from 2015 to 2019. The qualitative phase used semistructured interviews with quality managers to gain in-depth insights. RESULTS: The number of QM practices adopted by a hospital was significantly associated with factors like hospital size and the presence of an emergency department or QM steering committee. Our qualitative findings highlighted potential mechanisms such as the presence of an emergency department serving as a proxy for organizational complexity or urgency of case-mix. CONCLUSION: We provide an overview of factors driving QM adoption in hospitals, extending beyond the focus on single factors in previous research. Future studies could explore additional factors highlighted by our interviewees. PRACTICE IMPLICATIONS: Our results can inform interventions to strengthen QM in hospitals and guide future research on this topic.

[Application of Intelligent Logistics System Based on AGV Robot in Medical Consumables Management].

Objective: Medical consumables are expensive, with numerous specifications and large usage, and traditional manual management models have certain drawbacks. Building an intelligent logistics management system to improve management level. Methods: Using AGV robots to achieve functions such as outbound, inbound, and inventory in the primary warehouse, the original "person to goods" mode is transformed into "goods to person" mode. Results: The intelligent logistics system based on AGV robots saves manpower, costs, reduces labor intensity, improves warehouse utilization, improves work efficiency. Conclusion: Hospital is a new field of intelligent logistics development, and intelligent logistics systems based on AGV robots have achieved good application results in hospitals, and improved the level of hospital intelligent management.

Learn from the best hospitals: a comparison of the mission, vision and values.

BACKGROUND: The hospital's mission, vision, and values are the core of the hospital's culture and the most profound expression of the hospital's culture. Although there have been many comparative studies on the mission, vision and values of organizations in the past, there have been few studies on the mission, vision and values of hospitals in the healthcare field. The purpose is to understand how the world's top hospitals develop the use of mission, vision and values in their "day-to-day management" and this may help other hospitals to develop their mission, vision and value effectively. METHODS: This paper collects and discusses the approaches of the world's top five hospitals in mission, vision and value through a qualitative analysis method. Documents for the study were collected from the publicly available information of the five hospitals, including their websites, annual reports, and relevant academic literature published in English on Google Scholar, PubMed, Medline, and Web of Science. RESULTS: These five hospitals have similarities and differences in the development of their missions, visions and values, which are worthy of study by other hospitals. The setting of a mission is a useful reflection of the hospital's focus and direction showing the social responsibility and sustainability of the hospital. The development of a vision has a guiding role in the equity and development of patients and employees and can improve the efficiency and effectiveness of hospital management and ensure the quality of services. The elaboration of values can greatly help hospitals to develop strategic plans and improve daily management. CONCLUSION: The top five hospitals in the world have several common valuable cultures in their missions, visions, and values, regardless of the properties of the hospitals or their management models. In addition, each hospital also has some enlightening descriptions that reflect their particularities.

Operational flexibility impact on hospital performance through the roles of employee engagement and management capability.

BACKGROUND: Very limited empirical research has been done on operational flexibility management in the healthcare industry, especially in hospital settings. This study aimed to propose a model of the effects of operational flexibility on hospital performance through management capability and employee engagement as mediating variables. METHODS: The proposed model is validated through an empirical study among 480 clinical and administrative staff from five hospitals in Jordan. Structural equation modeling and confirmatory factor analysis were the main techniques used to validate the model and examine the hypotheses. RESULTS: Operational flexibility was demonstrated to have a positively significant impact on hospital performance, management capability, and employee engagement. Employee engagement was demonstrated to positively impact hospital performance. Management capability had a significant result on hospital performance without having a clear impact. In addition, management capability and employee engagement played a major role as partial mediating effects between operational flexibility and hospital performance, and there is a role for employee engagement as a partial mediating effect between management capability and hospital performance. CONCLUSION: Significant progress has been achieved in hospital management, especially in terms of operational flexibility, management capability, and staff engagement.

Organization and Performance of US Health Systems.

Importance: Health systems play a central role in the delivery of health care, but relatively little is known about these organizations and their performance. Objective: To (1) identify and describe health systems in the United States; (2) assess differences between physicians and hospitals in and outside of health systems; and (3) compare quality and cost of care delivered by physicians and hospitals in and outside of health systems. Evidence Review: Health systems were defined as groups of commonly owned or managed entities that included at least 1 general acute care hospital, 10 primary care physicians, and 50 total physicians located within a single hospital referral region. They were identified using Centers for Medicare & Medicaid Services administrative data, Internal Revenue Service filings, Medicare and commercial claims, and other data. Health systems were categorized as academic, public, large for-profit, large nonprofit, or other private systems. Quality of preventive care, chronic disease management, patient experience, low-value care, mortality, hospital readmissions, and spending were assessed for Medicare beneficiaries attributed to system and nonsystem physicians. Prices for physician and hospital services and total spending were assessed in 2018 commercial claims data. Outcomes were adjusted for patient characteristics and geographic area. Findings: A total of 580 health systems were identified and varied greatly in size. Systems accounted for 40% of physicians and 84% of general acute care hospital beds and delivered primary care to 41% of traditional Medicare beneficiaries. Academic and large nonprofit systems accounted for a majority of system physicians (80%) and system hospital beds (64%). System hospitals were larger than nonsystem hospitals (67% vs 23% with >100 beds), as were system physician practices (74% vs 12% with >100 physicians). Performance on measures of preventive care, clinical quality, and patient experience was modestly higher for health system physicians and hospitals than for nonsystem physicians and hospitals. Prices paid to health system physicians and hospitals were significantly higher than prices paid to nonsystem physicians and hospitals (12%-26% higher for physician services, 31% for hospital services). Adjusting for practice size attenuated health systems differences on quality measures, but price differences for small and medium practices remained large. Conclusions and Relevance: In 2018, health system physicians and hospitals delivered a large portion of medical services. Performance on clinical quality and patient experience measures was marginally better in systems but spending and prices were substantially higher. This was especially true for small practices. Small quality differentials combined with large price differentials suggests that health systems have not, on average, realized their potential for better care at equal or lower cost.

Advancing Equity in U.S. Hospital Systems: Employee Understandings of Health Equity and Steps for Improvement.

GOALS: Equity in the U.S. healthcare system remains a vital goal for healthcare leaders. Although many hospitals and healthcare systems have adopted a social determinants of health approach to more equitable care, many challenges have limited the effectiveness of their efforts. In this study, we wanted to explore whether healthcare leaders and providers understand the concept of equity and can link the concepts to practical applications within healthcare systems. METHODS: We explored how hospital leadership and providers at a major public hospital in Atlanta, Georgia, understand equity topics both conceptually and at a practical implementation level. We conducted 28 focus groups for >4 months involving 233 staff members, during which participants were asked about their understanding of various equity-related terms and equity implementation within the hospital. PRINCIPAL FINDINGS: Our findings reveal that there is little consensus among staff regarding the conceptual meanings of various health equity-related terms, and only a small minority of staff can articulate a conceptual definition that reflects current research-based understandings of equity. Furthermore, there is little consensus regarding how staff believes that health equity is practically enacted through various hospital programs, even among interviewees who could correctly articulate equity topics. These findings have no association with a role in the organization or length of time employed at the hospital. PRACTICAL APPLICATIONS: These findings indicate a need for a more nuanced understanding of health equity and further clarification and education on how to implement health equity. Although understanding at the conceptual level is an important first step, conceptual knowledge alone is not enough to support health equity at either the individual staff level or the system level. Our recommendations cover strategic development; education specific to the hospital system and its unique needs; consideration of the specific roles of individuals in the organization; and the designation of diversity, equity, and inclusion staff and offices in a hospital organization.

Digital Technology in Hospital Administration: A Strategic Choice.

Digital technology has encompassed all aspects of healthcare. There are many international and national organizations, guidelines, and formats available in health information systems (HIS), but many are presently still not being used in India. The aim is to give a flawless, secure, and user-friendly health information technology (IT) system for Indian healthcare. We discuss the timeline of digital technology in hospital administration, administrative applications, and the importance of clinical quality in health. Clinical perspectives of clinical information systems (CIS), both in acute as well as chronic clinical care models. Cross-integration of healthcare in IT (HIT) in electronic health records (EHR) or electronic medical records (EMRs), in chronic disease management (CDM) systems, and in clinical decision support systems (CDSS) are elaborated. Also, practical strategic application methods are discussed. The limitations of the current HIS software in India are mostly used for transaction reporting, prescription, and administrative tools. They lack CIS and strategic business applications as compared to mature multinational company (MNC) HIS software. Along with this, various features and levels of HIS Software, challenges of HIT adoption, Indian health IT standards, and the future framework of IT in health in India are systematically analyzed. We aim at all physicians in India and at all levels of practice, from individuals, group practices, health institutes, or corporate hospitals, and to encourage them to make strategic use of CIS and strategic IT applications in their individual practice and hospital management. This will improve clinical outcomes, patient safety, practitioner performance, adherence to treatment guidelines, and reduction in medical errors, along with efficiency improvements and cost reductions. How to cite this article: Taneja D, Kulkarni SV, Sinha S, et al. Digital Technology in Hospital Administration: A Strategic Choice. J Assoc Physicians India 2023;71(10):83-88.

The Psychosocial Impact of Treating Patients with COVID-19 on Psychiatry Residents in a Community Hospital: a Qualitative Study.

OBJECTIVE: The authors explored the experiences of psychiatry residents caring for patients during the COVID-19 pandemic on a medical unit. METHODS: From June 2020 through December 2020, structured, individual interviews were conducted with psychiatry residents deployed to internal medicine wards in a community hospital to provide medical care to COVID-19 patients for greater than or equal to 1 week. Interviews were recorded, transcribed verbatim, and analyzed using thematic analytical methods. RESULTS: Psychiatry residents (n = 16) were interviewed individually for approximately 45 min each. During the interviews, many residents described emotions of fear, anxiety, uncertainty, lack of preparedness, and difficulty coping with high patient mortality rates. Many of the residents expressed concerns regarding insufficient personal protective equipment, with the subsequent worries of their own viral exposure and transmission to loved ones. Multiple residents expressed feeling ill-equipped to care for COVID-19 patients, in some cases stating that utilizing their expertise in mental health would have better addressed the mental health needs of colleagues and patients' families. Participants also described the benefits of processing emotions during supportive group sessions with their program director. CONCLUSIONS: The COVID-19 pandemic represents a public health crisis with potential negative impacts on patient care, professionalism, and physicians' well-being and safety. The psychiatry residents and fellows described the overwhelmingly negative impact on their training. The knowledge gained from this study will help establish the role of the psychiatrist not only in future crises but in healthcare as a whole.

[Information Construction of Hospital Medical Consumables Management Based on SPD Mode].

To change the traditional hospital medical supplies rough management mode, the hospitals build an information material management platform which combines suppliers and hospitals, information systems and smart devices, clinical needs and professional operations innovatively. Finally, a lean management system called SPD is formed under the guidance of supply chain integration and supported by supply chain management theory and information technology. It has realized the whole process of consumables circulation information traceability, intelligent service in the hospital, and refined management of consumption settlement. The application of SPD in hospitals effectively improves the informatization level and overall operation efficiency of medical consumables management which is an important part of hospital information construction.

Pre-Hospital Administration of Remdesivir During a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Outbreak in a Skilled Nursing Facility.

Completion of a 5-day course of remdesivir was associated with approximately 17-fold increased odds of survival among a sample of 54 nursing home residents with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during the course of an outbreak from October to December 2020. Remdesivir was well tolerated; administration was logistically feasible in a pre-hospital environment.

Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections.

In the year 2020, there were 105 different statutory insurance companies in Germany with heterogeneous regional coverage. Obtaining data from all insurance companies is challenging, so that it is likely that projects will have to rely on data not covering the whole population. Consequently, the study of epidemic spread in hospital referral networks using data-driven models may be biased. We studied this bias using data from three German regional insurance companies covering four federal states: AOK (historically "general local health insurance company", but currently only the abbreviation is used) Lower Saxony (in Federal State of Lower Saxony), AOK Bavaria (in Bavaria), and AOK PLUS (in Thuringia and Saxony). To understand how incomplete data influence network characteristics and related epidemic simulations, we created sampled datasets by randomly dropping a proportion of patients from the full datasets and replacing them with random copies of the remaining patients to obtain scale-up datasets to the original size. For the sampled and scale-up datasets, we calculated several commonly used network measures, and compared them to those derived from the original data. We found that the network measures (degree, strength and closeness) were rather sensitive to incompleteness. Infection prevalence as an outcome from the applied susceptible-infectious-susceptible (SIS) model was fairly robust against incompleteness. At incompleteness levels as high as 90% of the original datasets the prevalence estimation bias was below 5% in scale-up datasets. Consequently, a coverage as low as 10% of the local population of the federal state population was sufficient to maintain the relative bias in prevalence below 10% for a wide range of transmission parameters as encountered in clinical settings. Our findings are reassuring that despite incomplete coverage of the population, German health insurance data can be used to study effects of patient traffic between institutions on the spread of pathogens within healthcare networks.

Pro-Con Debate: Anesthesiologist- Versus Hospitalist- Run Preoperative Clinics and Perioperative Care.

In this Pro-Con commentary article, we discuss the models, value propositions, and opportunities of preoperative clinics run by anesthesiologists versus hospitalists and their role in perioperative care. The medical and anesthesia evaluation before surgery has pivoted from the model of "clearance" to the model of risk assessment, preparation, and optimization of medical and psychosocial risk factors. Assessment of these risk factors, optimization, and care coordination in the preoperative period has expanded the roles of anesthesiologists and hospitalists as members of the perioperative care team. There is ongoing debate regarding which model of preoperative assessment provides the most optimal preparation for the patient undergoing surgery. This article hopes to shed light on this debate with the data and perspectives on these care models.