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.
CONCLUSIONS: 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.

This study proposes a multi-level model of institutional innovation in the healthcare sector-in other words, field-level institutional change pressures that start as network-level institutional innovation by hospitals and government for their organizational performance, with an emphasis on the effect of organizational-level construct-knowledge creation capabilities. A case study using in-depth interviews and a historical inquiry approach has been used to qualitatively analyze our cases during the development of Taiwan\'s National Health Insurance (NHI). Our results propose a multi-level explanation of institutional innovation by showing how field-level institutional change pressures can stimulate the government\'s institutional innovation at the network level. Moreover, knowledge creation capabilities may positively influence the government hospitals\' ongoing institutional change pressures induced institutional innovation activity for their performance at the organizational level in an institutional setting. This study contributes to health organization management researchers and administrators by developing explanations of institutional innovation and creating a much-needed multi-level insight into hospital behavior in the highly institutionalized healthcare sector.

BACKGROUND: A new class of antibody-based drug therapy with the potential for disease modification is now available for Alzheimer\'s disease (AD). However, the complexity of drug eligibility, administration, cost, and safety of such disease modifying therapies (DMTs) necessitates adopting new treatment and care pathways. A working group was convened in Ireland to consider the implications of, and health system readiness for, DMTs for AD, and to describe a service model for the detection, diagnosis, and management of early AD in the Irish context, providing a template for similar small-medium sized healthcare systems.
METHODS: A series of facilitated workshops with a multidisciplinary working group, including Patient and Public Involvement (PPI) members, were undertaken. This informed a series of recommendations for the implementation of new DMTs using an evidence-based conceptual framework for health system readiness based on [1] material resources and structures and [2] human and institutional relationships, values, and norms.
RESULTS: We describe a hub-and-spoke model, which utilises the existing dementia care ecosystem as outlined in Ireland\'s Model of Care for Dementia, with Regional Specialist Memory Services (RSMS) acting as central hubs and Memory Assessment and Support Services (MASS) functioning as spokes for less central areas. We provide criteria for DMT referral, eligibility, administration, and ongoing monitoring.
CONCLUSIONS: Healthcare systems worldwide are acknowledging the need for advanced clinical pathways for AD, driven by better diagnostics and the emergence of DMTs. Despite facing significant challenges in integrating DMTs into existing care models, the potential for overcoming challenges exists through increased funding, resources, and the development of a structured national treatment network, as proposed in Ireland\'s Model of Care for Dementia. This approach offers a replicable blueprint for other healthcare systems with similar scale and complexity.

The Medical Informatics Initiative (MII) funded by the Federal Ministry of Education and Research (BMBF) 2016-2027 is successfully laying the foundations for data-based medicine in Germany. As part of this funding, 51 new professorships, 21 junior research groups, and various new degree programs have been established to strengthen teaching, training, and continuing education in the field of medical informatics and to improve expertise in medical data sciences. A joint decentralized federated research data infrastructure encompassing the entire university medical center and its partners was created in the form of data integration centers (DIC) at all locations and the German Portal for Medical Research Data (FDPG) as a central access point. A modular core dataset (KDS) was defined and implemented for the secondary use of patient treatment data with consistent use of international standards (e.g., FHIR, SNOMED CT, and LOINC). An officially approved nationwide broad consent was introduced as the legal basis. The first data exports and data use projects have been carried out, embedded in an overarching usage policy and standardized contractual regulations. The further development of the MII health research data infrastructures within the cooperative framework of the Network of University Medicine (NUM) offers an excellent starting point for a German contribution to the upcoming European Health Data Space (EHDS), which opens opportunities for Germany as a medical research location.
UNASSIGNED: Die vom Bundesministerium für Bildung und Forschung (BMBF) 2016–2027 geförderte Medizininformatik-Initiative (MII) schafft erfolgreich Grundlagen für die datenbasierte Medizin in Deutschland. Zur Stärkung der Lehre, Aus- und Fortbildung im Bereich der Medizininformatik und zur Kompetenzverbesserung in den medizinischen Datenwissenschaften wurden im Rahmen dieser Förderung 51 neue Professuren, 21 wissenschaftliche Nachwuchsgruppen und verschiedene neue Studiengänge eingerichtet. Eine die gesamte Universitätsmedizin und ihre Partner umfassende gemeinsame dezentral föderierte Forschungsdateninfrastruktur wurde in Gestalt der Datenintegrationszentren (DIZ) an allen Standorten und dem Deutschen Forschungsdatenportal für Gesundheit (FDPG) als zentralem Zugangspunkt geschaffen. Für die Sekundärnutzung von Behandlungsdaten wurde ein modularer Kerndatensatz (KDS) definiert und unter konsequenter Nutzung internationaler Standards (z. B. FHIR, SNOMED CT, LOINC) implementiert. Als Rechtsgrundlage wurde eine behördlich genehmigte bundesweite breite Einwilligung (Broad Consent) eingeführt. Erste Datenausleitungen und Datennutzungsprojekte sind durchgeführt worden, eingebettet in eine übergeordnete Nutzungsordnung und standardisierte vertragliche Regelungen. Die Weiterentwicklung der MII-Gesundheitsforschungsdateninfrastrukturen im kooperativen Rahmen des Netzwerks Universitätsmedizin (NUM) bietet einen hervorragenden Ausgangspunkt für einen deutschen Beitrag zum kommenden Europäischen Gesundheitsdatenraum (EHDS), der Chancen für den Medizinforschungsstandort Deutschland eröffnet.

BACKGROUND: An organisation\'s ability to learn and adapt is key to its long-term performance and success. Although calls to improve learning within and across health organisations and systems have increased in recent years, global health is lagging behind other sectors in attention to learning, and applications of conceptual models for organisational learning to this field are needed. LEVERAGING THE 4I FRAMEWORK: This article proposes modifications to the 4I framework for organisational learning (which outlines the processes of intuition, interpretation, integration and institutionalisation) to guide the creation, retention and exchange of knowledge within and across global health organisations.
UNASSIGNED: Two expansions are added to the framework to account for interorganisational learning in the highly interconnected field: (1) learning pathways across organisations via formal or informal partnerships and communities of practice and (2) learning pathways to and from macro-level \'coordinating bodies\' (eg, WHO). Two additional processes are proposed by which interorganisational learning occurs: interaction across partnerships and communities of practice, and incorporation linking global health organisations to coordinating bodies. Organisational politics across partnerships, communities of practice and coordinating bodies play an important role in determining why some insights are institutionalised while others are not; as such, the roles of the episodic influence and systemic domination forms of power are considered in the proposed additional organisational learning processes.
CONCLUSIONS: When lessons are not shared across partnerships, communities of practice or the research community more broadly, funding may continue to support global health studies and programmes that have already been proven ineffective, squandering research and healthcare resources that could have been invested elsewhere. The \'6I\' framework provides a basis for assessing and implementing organisational learning approaches in global health programming, and in health systems more broadly.

BACKGROUND: The changing hospital business model has raised ethical issues for emergency physicians (EPs) in a healthcare system that often prioritizes profits over patient welfare. For-profit hospitals, driven by profit motives, may prioritize treating patients with lucrative insurance plans and those who can afford expensive treatments. Private equity investors, who now own many for-profit hospitals, focus on short-term financial gains, leading to cost-cutting measures and pressure on EPs to prioritize financial goals over patient welfare. Nonprofit hospitals, mandated to provide charity care to the underserved, may fail to meet their community service obligations, resulting in disparities in healthcare access.
OBJECTIVE: This review examines the ethical challenges faced by emergency physicians (EPs) in response to the evolving hospital business model, which increasingly prioritizes profits over patient welfare.
CONCLUSIONS: Emergency physicians face ethical dilemmas in this changing environment, including conflicts between patient care and financial interests. Upholding professional ethics and the principle of beneficence is essential. Another challenge is equitable access to healthcare, with some nonprofit hospitals reducing charity care, thus exacerbating disparities. EPs must uphold the ethical principle of justice, ensuring quality care for all patients, regardless of financial means. Conflicts of interest may arise when EPs work in hospitals owned by private equity firms or with affiliations with pharmaceutical companies or medical device manufacturers, potentially compromising patient care.
CONCLUSIONS: Emergency physicians must navigate these ethical issues while upholding professional ethics and advocating for patients\' best interests. Collaboration with hospital administrators, policymakers, and stakeholders is vital to address these concerns and prioritize patient welfare in healthcare delivery.

Boarding of critically ill patients in the Emergency Department (ED) has increased over the past 20 years, leading hospital systems to explore ED-focused models of critical care delivery. ED-critical care delivery models vary between health systems due to differences in hospital resources and the needs of the critically ill patients boarding in the ED. Three published systems include an ED critical care intensivist consultation model, a hybrid model, and an ED-intensive care unit model. Paraphrasing the Greek philosopher, Plato, \"necessity is the mother of invention.\" This proverb rings true as EDs are facing an increasing challenge of caring for boarding patients, especially those who are critically ill.

The implementation of an Electronic Prescribing (EP) system offers numerous advantages in enhancing the efficiency of prescribing practices. To ensure successful implementation, a comprehensive understanding of the workflow in paper-based prescribing is crucial. In Iran, the Ministry of Health, and Medical Education (MOHME) has been actively involved in developing an EP system since 2011. The pilot results within MOHME have garnered significant support from all basic insurance organizations, primarily due to the importance of addressing financial considerations. As a result, these insurance organizations have taken the lead in the national development of the EP system, as responsibilities have shifted. The development of an Integrated Care Electronic Health Record (ICEHR or EHR) and the approach adopted by MOHME have paved the way for the creation of a standardized set of Application Programming Interfaces (APIs) based on openEHR and ISO13606 standards. These APIs facilitate the secure transfer of consolidated data from the EP systems, stored in the data warehouses of basic insurance organizations, to the Iranian EHR. This model follows an ICEHR architecture that emphasizes the transmission of this information to the Iranian EHR. This paper provides a detailed discussion of the various aspects and accomplishments related to these developments.

Hospital@home is a healthcare approach, where patients receive active treatment from health professionals in their own home for conditions that would normally necessitate a hospital stay.
OBJECTIVE: To develop a framework of relevant features for describing hospital@home care models.
METHODS: The framework was developed based on a literature review and thematic analysis. We considered 42 papers describing hospital@home care approaches. Extracted features were grouped and aggregated in a framework.
RESULTS: The framework consists of nine dimensions: Persons involved, target patient population, service delivery, intended outcome, first point of contact, technology involved, quality, and data collection. The framework provides a comprehensive list of required roles, technologies and service types.
CONCLUSIONS: The framework can act as a guide for researchers to develop new technologies or interventions to improve hospital@home, particularly in areas such as tele-health, wearable technology, and patient self-management tools. Healthcare providers can use the framework as a guide or blueprint for building or expanding upon their hospital@home services.

BACKGROUND: Incarcerated mothers are a marginalised group who experience substantial health and social disadvantage and routinely face disruption of family relationships, including loss of custody of their children. To support the parenting role, mothers and children\'s units (M&Cs) operate in 97 jurisdictions internationally with approximately 19 000 children reported to be residing with their mothers in custody-based settings.
OBJECTIVE: This rapid review aims to describe the existing evidence regarding the models of service delivery for, and key components of, custodial M&Cs.
METHODS: A systematic search was conducted of four electronic databases to identify peer-reviewed literature published from 2010 onwards that reported quantitative and qualitative primary studies focused on custody-based M&Cs. Extracted data included unit components, admission and eligibility criteria, evaluations and recommendations.
RESULTS: Of 3075 records identified, 35 met inclusion criteria. M&Cs accommodation was purpose-built, incorporated elements of domestic life and offered a family-like environment. Specific workforce training in caring for children and M&Cs evaluations were largely absent. Our systematic synthesis generated a list of key components for M&C design and service delivery. These components include timely and transparent access to information and knowledge for women, evaluation of the impact of the prison environment on M&C, and organisational opportunities and limitations.
CONCLUSIONS: The next generation of M&Cs requires evidence-based key components that are implemented systematically and is evaluated. To achieve this, the use of codesign is a proven method for developing tailored programmes. Such units must offer a net benefit to both mothers and their children.