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This work investigates a regional hospital, which has an affiliated low-acuity emergency department (ED) facility that currently struggles to meet its service level goal (85% of its patients should be in the room in 60 minutes or less). A capability analysis using data from existing processes at this facility revealed that with the current processes and current level of resources, the facility is not capable of meeting existing service level goal. A simulation was developed to examine multiple alternatives that could improve patient flow at the facility. A set of scenarios were created that modified one or more of the resources such as doctors, nurses, and rooms by changing their schedules or their quantities. The impact of the response variables related to the facility’s service level goal was recorded for each scenario. Based on the results of the simulation, recommendations to the facility for alternative ways to schedule and allocate its resources in order to meet its current service level goal were given.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

The research analyzes good practices in health care “management experimentation models,” which fall within the broader range of the integrative public–private partnerships (PPPs). Introduced by the Italian National Healthcare System in 1991, the “management experimentation models” are based on a public governance system mixed with a private management approach, a patient-centric orientation, a shared financial risk, and payment mechanisms correlated with clinical outcomes, quality, and cost-savings. This model makes public hospitals more competitive and efficient without affecting the principles of universal coverage, solidarity, and equity of access, but requires higher financial responsibility for managers and more flexibility in operations.

In Italy the experience of such experimental models is limited but successful. The study adopts the case study methodology and refers to the international collaboration started in 1997 between two Italian hospitals and the University of Pittsburgh Medical Center (UPMC – Pennsylvania, USA) in the field of organ transplants and biomedical advanced therapies.

The research allows identifying what constitutes good management practices and factors associated with higher clinical performance. Thus, it allows to understand whether and how the management experimentation model can be implemented on a broader basis, both nationwide and internationally. However, the implementation of integrative PPPs requires strategic, cultural, and managerial changes in the way in which a hospital operates; these transformations are not always sustainable.

The recognition of ISMETT’s good management practices is useful for competitive benchmarking among hospitals specialized in organ transplants and for its insights on the strategies concerning the governance reorganization in the hospital setting. Findings can be used in the future for analyzing the cross-country differences in productivity among well-managed public hospitals.

This article looks at the alignment of performance management system with the strategy, structure, and organizational outcome in Canadian health care organizations. In this study, balanced scorecard is the framework adopted for assessing the health care organization's performance management system (PMS) and outcome. CEO and clinical unit managers were surveyed for their perceptions on their organization's strategy, autonomy structure, PMS, and organizational performance. Path analysis was the methodology used in examining the relationship about the above organizational variables. The results indicate that patient satisfaction is the primary and most significant perspective of the depicted balanced scorecard in organizational performance. Patient satisfaction and research criteria, on the other hand, are the significant perspectives of a balanced scorecard in an organization's PMS, which are linked to strategy, autonomy structure, and organizational performance. Moreover, the results show that the strategy/structure links operated as suggested. Surprisingly, strategy on service innovation has a negative impact on the organizational outcome of patient satisfaction. Uncertainty from continuous development and organizational change in pursuing service innovation and cost-cutting measures in response to fiscal constraints are plausible explanations of the adverse impact reported.

The long-term financial stability of hospital systems represents a “grand challenge” in health care. New ownership forms, such as private equity (PE), promise to achieve better financial performance than nonprofit or for-profit systems. In this study, we compare two systems with many similarities, but radically different ownership structures, missions, governance, and merger and acquisition (M&A) strategies. Both were nonprofit, religious systems serving low-income communities – Montefiore Health System and Caritas Christi Health Care.

Montefiore's M&A strategy was to invest in local hospitals and create an integrated regional system, increasing revenues by adding primary doctors and community hospitals as feeders into the system and achieving efficiencies through effective resource allocation across specialized units. Slow and steady timing of acquisitions allowed for organizational learning and balancing of debt and equity. By 2019, it owned 11 hospitals with 40,000 employees and had strong positive financials and low reliance on debt.

By contrast, in 2010, PE firm Cerberus Capital bought out Caritas (renamed Steward Health Care System) and took control of the Board of Directors, who set the system's strategic direction. Cerberus used Steward as a platform for a massive debt-driven acquisition strategy. In 2016, it sold off most of its hospitals’ property for $1.25 billion, leaving hospitals saddled with long-term inflated leases; paid itself almost $500 million in dividends; and used the rest for leveraged buyouts of 27 hospitals in 9 states in 3 years. The rapid, scattershot M&A strategy was designed to create a large corporation that could be sold off in five years for financial gain – not for health care integration. Its debt load exploded, and by 2019, its financials were deeply in the red. Its Massachusetts hospitals were the worst financial performers of any system in the state. Cerberus exited Steward in 2020 in a deal that left its physicians, the new owners, holding the debt.

Researchers recommend a reorganization of the medical profession into larger groups with a multispecialty mix. We analyze whether there is evidence for the superiority of these models and if this organizational transformation is underway.

We summarize the evidence on scale and scope economies in physician group practice, and then review the trends in physician group size and specialty mix to conduct survivorship tests of the most efficient models.

The distribution of physician groups exhibits two interesting tails. In the lower tail, a large percentage of physicians continue to practice in small, physician-owned practices. In the upper tail, there is a small but rapidly growing percentage of large groups that have been organized primarily by non-physician owners.

While our analysis includes no original data, it does collate all known surveys of physician practice characteristics and group practice formation to provide a consistent picture of physician organization.

Our review suggests that scale and scope economies in physician practice are limited. This may explain why most physicians have retained their small practices.

Larger, multispecialty groups have been primarily organized by non-physician owners in vertically integrated arrangements. There is little evidence supporting the efficiencies of such models and some concern they may pose anticompetitive threats.

This is the first comprehensive review of the scale and scope economies of physician practice in nearly two decades. The research results do not appear to have changed much; nor has much changed in physician practice organization.

Burnout has been recognized and measured in the workplace since the 1970s, particularly in service industries. Libraries can be viewed as service providers. Burnout is the result of chronically high work demands combined with emotional exhaustion, depersonalization, and diminished personal accomplishment. Burnout components have been linked to physical, emotional, and behavioral consequences, and to high turnover and loss of engagement. Libraries can evaluate burnout levels among staff and address burnout on an individual, management, and organizational level. The Nurse-Experienced Time Pressure, Burnout, and Patient Interaction Questionnaire is modified to identify and quantify activities individuals might use to reduce burnout. The survey is administered to librarians and staff at an academic library and to self-chosen attendees at a conference session on avoiding burnout. Feedback is also solicited in terms of burnout avoidance strategies and possible library responses. Most respondents feel burned out but also committed to providing excellent service to patrons. Respondents have a genuine interest in making work less prone to burnout. Sample sizes were small but gave consistent responses. Burnout can be addressed on an institutional, management, and personal level, with each entity having equal responsibility. Leadership, management, communication, and support efforts can counteract burnout threats. Burnout causes disengagement at work and in personal lives. In terms of personality, neuroticism is a strong predictor of burnout. Making efforts to counteract burnout will lead to a healthier, balanced life. This book chapter is based on research done for a presentation at ER&L 2016 on Avoiding E-Burnout. Causes and counteractions to burnout have been expanded.

The chapter redefines the focus of the changes required to create sustainable healthcare away from fixing healthcare organizations and toward reconfiguring the constituent elements of the healthcare ecosystem and redefining how they interrelate to yield value more sustainably.

Based on a review of recent literature on healthcare reform, we argue that unlike other sectors, healthcare organizations cannot change themselves without changing their connections to the rest of the healthcare ecosystem, including other healthcare organizations, patients, governments, research institutions, vendors, and the citizenry at large. This is because these are not only stakeholders but also integral parts of healthcare processes.

Interventions intended to create more sustainable healthcare must bring together knowledge and perspectives from across the ecosystem, and must converge different sources of information and analysis to generate novel ways of connecting across the ecosystem. Change within a healthcare system cannot achieve the magnitude of transformation needed to become sustainable.

If the healthcare ecosystem evolves in the manner described in this chapter, the healthcare ecosystem will no longer center around particular institutions and doctors’ offices but rather be defined by flexible and variable interactions between co-acting elements of the ecosystem.

The chapter treats the context as the focus of change in order to change the healthcare system. It proposes three kinds of flows: knowledge, clinical, and resource that are already beginning to change and that will eventually result in fundamentally different approaches to healthcare.

This chapter reviews and integrates the empirical literature on the influence of organizational factors on hospital financial performance. Five categories of organizational characteristics that research has addressed are identified and examined as part of the review: ownership, governance, integration, management strategy, and quality. With some exceptions, our review reveals a general lack of consistency and conclusiveness across studies in each area. Exceptions were found in the areas of governance (e.g., physician participation and board processes) and integration (e.g., horizontal system centralization). Despite the lack of conclusive findings across studies, our review suggests substantial opportunities for future work, including opportunities for qualitative and exploratory work. Additional implications for theory and management are discussed.

Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.