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Purpose – This chapter argues that the concept of agility is an effective robust framework for designing sustainable health care systems.

Design/methodology/approach – This case study of Alegent Health was based on 7 years of data collection. It includes observations of meetings, large-group interventions, and other activities; site visits to different hospitals in the system to observe changes in practice; interviews with Alegent Health executives, primary care physicians, hospital presidents, specialist physicians and physician groups, and health systems staff and nurses; and a variety of archival data including meeting minutes, video tapes, conference proceedings, and web site material.

Findings – The Alegent Health system has evolved over time according to the principles of agility. It built a series of new capabilities that contribute to improved clinical outcomes, sustained financial results, and more socially and ecologically responsible results. Designing health care systems based on agility is a more effective and sustainable approach than relying on legislative or other criteria.

Originality/value – The discussion of sustainability in health care has focused primarily on specific projects or how to respond to specific technological, regulatory, or clinical changes. Alegent Health's experience provides important lessons, opportunities, and challenges that can help advance our understanding of effective health care and use organizational agility to create more sustainable health care systems. This chapter provides health care system administrators an alternative design option.

Changes in the physical environments of health care settings have become increasingly common to meet the evolving needs of the health care marketplace, new technologies, and infrastructure demands. Physical environment change takes many forms including new build construction, renovation of existing space, and relocation of units with little to no construction customization. The interrelated nature of the complex socio-technical health care system suggests that even small environmental modifications can result in system-level changes. Environmental modifications can lead to unintended consequences and introduce the potential for latent safety threats. Engaging users throughout the change lifecycle allows for iterative design and testing of system modifications. This chapter introduces a flexible process model, PROcess for the Design of User-Centered Environments (PRODUCE), designed to guide system change. The model was developed and refined across a series of real-world renovations and relocations in a large multihospital health care system. Utilizing the principles of user-centered design, human factors, and in-situ simulation, the model engages users in the planning, testing, and implementation of physical environment change. Case studies presented here offer exemplars of how to modify the model to support individual project objectives and outcomes to assess at each stage of the project.

Purpose – This chapter examines the impact of technology on sustainable effectiveness by focusing on the dynamic synchronization between the technical and the social subsystems at the Villa Beretta Rehabilitation Hospital (VBRH) and illustrates that technology can trigger and enable sustainable health care organizations.

Design/methodology/approach – The case study of VBRH relies on several data sources. They include interviews with key informants (VBRH executives, health care professionals, and technology suppliers), follow-up e-mails and phone conversations, direct observations of actors’ behavior, and notes of processes in action and archival data, such as patient pathway protocols, technical information systems documentation, performance and managerial reports, and administrative guidelines.

Findings – VBRH was capable to dynamically synchronize the social subsystem with the continuous innovation of the technical subsystem. This capability enabled sustainable effectiveness in three main areas. First, the correct alignment between technology and professionals’ practices and behaviors improved triple-bottom-line performance by promoting a more conscious use of the environmental, social, and financial resources. Second, technology-based initiatives promoted research-oriented plans of action that nurtured a culture of change and continuous improvement. Third, technology facilitated the extension of the research and operation networks that generated new ideas and initiatives for achieving sustainable effectiveness. Additionally, evidence from VBRH demonstrated that organization design, change management, and learning mechanisms are essential when institutionalizing new technology that requires the disruption of current professional practices and individuals’ behavior.

Originality/value – Previous contributions about sustainable effectiveness in health care failed to unveil and frame the complexity of dynamic synchronization between the technical and the social subsystems that is at the core of the sustainability of health care delivery. This chapter provides new insights that pave the way for a deeper-level understanding of the role that technology plays in sustainable effectiveness dynamics and outcomes in health care delivery. The chapter illustrates how different groups of technology contribute to sustainable effectiveness and the mechanisms that make them work.

Purpose – This chapter provides a reflective synopsis of the chapters in the volume and highlights the learning from the cases about the development of new orientations, design configurations, and learning mechanisms. It charts directions for further research and possible managerial actions.

Design – The chapters in this second volume of the book series “Organizing for Sustainable Effectiveness” capture a rich set of cases in which organizing for sustainable health care was the central focus. Each chapter illuminated the development of a distinct health care system in a unique cultural and national context, and had a special focus on reporting theoretically informed and rigorously explored knowledge to guide purposeful design and learning approaches. Collectively the chapters highlighted the processes, organization and design, system regulation, and continuous learning approaches in complex organizational and multi-organizational health care systems that enable focus on and advancement of economic, social, and ecological outcomes.

Findings – Several critical themes have emerged from the cases, and from the broader literature on health care transformation: the importance of purpose; the need to overcome fragmentation; the need for alternative business models; technology as an investment in sustainable health care; the centrality of knowledge management; the importance of partnership and collaboration; the role of self-organization and leadership; and the criticality of building change capabilities.

This paper proposes an organizational change process to prepare physicians and other health professionals for their new roles in patient-centered medical homes (PCMHs). It provides physician-centered tools, models, concepts, and the language to implement transformational patient-centered medical care.

To improve care delivery, quality, and patient engagement, a systems approach to care is required. This paper examines a systems approach to patient care where all inputs that influence patient interactions and participation are considered in the design of health care delivery and follow-up treatment plans. Applying systems thinking, organizational change models, and team-building, we have examined the continuum of this change process from ideation through the diffusion of new methods and behaviors.

PCMHs make compelling business sense. Studies have shown that the PCMH improves patient satisfaction, clinical outcomes and reduces underuse and overuse of medical services. Patient-centered care necessitates transitioning from an adversarial to a collaborative culture. It is a transformation process predicated on strong leadership able to align an organization toward a vision of patient-centered care, creating a collaborative culture committed to health-goal achievement.

This paper proposes that the PCMH is a rigorous team-building transformational organizational change, a radical departure from the current hierarchical, silo-oriented, medical practice model. It requires that participants within and across health care organizations learn new skills and behaviors to achieve the anticipated quality and efficiency improvements. It is an innovative health care organization model of the future whose success is premised on teams supplanting the individual as the building block and unit of health care performance.

We discuss the impact of complexity science on the design and management of health care organizations over the past decade. We provide an overview of complexity science issues and their impact on thinking about health care systems, particularly with the rising importance of information systems. We also present a complexity science perspective on current issues in today’s health care organizations and suggest ways that this perspective might help in approaching these issues.

We review selected research, focusing on work in which we participated, to identify specific examples of applications of complexity science. We then take a look at information systems in health care organizations from a complexity viewpoint.

Complexity science is a fundamentally different way of understanding nature and has influenced the thinking of scholars and practitioners as they have attempted to understand health care organizations. Many scholars study health care organizations as complex adaptive systems and through this perspective develop new management strategies. Most important, perhaps, is the understanding that attention to relationships and interdependencies is critical for developing effective management strategies.

Increased understanding of complexity science can enhance the ability of researchers and practitioners to develop new ways of understanding and improving health care organizations.

This analysis opens new vistas for scholars and practitioners attempting to understand health care organizations as complex adaptive systems. The analysis holds value for those already familiar with this approach as well as those who may not be as familiar.

Purpose – This chapter examines the developmental journey toward a sustainable health care system in the West of Skaraborg County in Sweden from 2008 to the present by proposing and illustrating the concept of a clinical microsystem to capture the work of a mobile team to care for elderly people with multiple diseases in its embedded context.

Design – An action research approach was adopted that entailed four researchers, one of whom was also a health care practitioner, engaging in iterative dialogues with the mobile team. This aimed at catalyzing joint learning in repeated action-reflection cycles at least three times a year over a period of 3 years. Data from patient databases were also drawn upon as additional resources for reflection.

Findings – The outcome of the initial periods of the team's work in the microsystem dramatically improved the care of these patients, significantly increasing quality of life and stabilizing their medical situation. It has also led to decreased resource utilization, not just by the team, but elsewhere in the wider health system.

Originality/value – We draw on and develop the concept of clinical microsystems to argue that such systems have a team at their core, but their work practices and patient outcomes require us to look beyond the team itself and take into account its interactions with patients and actors in the wider health care system. We also draw on the framework of Christensen, Grossman, and Hwang (2009) to propose that each microsystem has three distinct value configurations, namely shops, a chain, and a network. In terms of design, we suggest that the clinical microsystem can be seen as a parallel learning structure to that of the established health care bureaucracy.

The adoption of electronic health records (EHRs) and digitization of health data over the past decade is ushering in the next generation of digital health tools that leverage artificial intelligence (AI) to improve varied aspects of health system performance. The decade ahead is therefore shaping up to be one in which digital health becomes even more at the forefront of health care delivery – demanding the time, attention, and resources of health care leaders and frontline staff, and becoming inextricably linked with all dimensions of health care delivery. In this chapter, we look back and look ahead. There are substantive lessons learned from the first era of large-scale adoption of enterprise EHRs and ongoing challenges that organizations are wrestling with – particularly related to the tension between standardization and flexibility/customization of EHR systems and the processes they support. Managing this tension during efforts to implement and optimize enterprise systems is perhaps the core challenge of the past decade, and one that has impeded consistent realization of value from initial EHR investments. We describe these challenges, how they manifest, and organizational strategies to address them, with a specific focus on alignment with broader value-based care transformation. We then look ahead to the AI wave – the massive number of applications of AI to health care delivery, the expected benefits, the risks and challenges, and approaches that health systems can consider to realize the benefits while avoiding the risks.