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This study explores how a hospital works, which is important for further enhancing hospital performance. Following the introduction of a Hospital Planning Centre (HPC), changes are explored in a hospital in terms of integration (the coordination and alignment of tasks), differentiation (the extent to which tasks are segmented into subsystems), rules, coordination mechanisms and hospital performance.

A case study was conducted examining the hospital’s social network, rules, coordination mechanisms and performance both before and after the introduction of the HPC. All planning and execution tasks for surgery patients were studied using a naturalistic inquiry and mixed-method approach.

After the introduction of the HPC, the overall network structure and coordination mechanisms and coordination mechanisms remained largely the same. Integration and certain rules changed for specific planning tasks. Differentiation based on medical discipline remained. The number of local rules decreased and hospital-wide rules increased, and these remained largely in people’s minds. Coordination mechanisms remained largely unchanged, primarily involving mutual adjustment and standardization of work both before and after the introduction of the HPC. Overall, the hospital’s performance did not change substantially. The findings suggest that integration seems to “emerge” instead of being designed. Hospitals could benefit, we argue, from a more conscious system-wide approach that includes collective learning and information sharing.

This exploratory study provides in-depth insight into how a hospital works, yielding important knowledge for further research and the enhancement of hospital performance.

Integration, that is, the coordination and alignment of tasks, is widely promoted as a means to improve hospital performance. A previous study examined integration and differentiation, that is, the extent to which tasks are segmented into subsystems, in a hospital's social network. The current study carries this research further, aiming to explain integration and differentiation by studying the rules and coordination mechanisms that agents in a hospital network use.

The current case study deepens the analysis of the social network in a hospital. All planning tasks and tasks for surgery performance were studied, using a naturalistic inquiry approach and a mixed method.

Of the 314 rules found, 85% predominantly exist in people's minds, 31% are in documents and 7% are in the information system. In the early planning stages for a surgery procedure, mutual adjustment based on hospital-wide rules is dominant. Closer to the day of surgery, local rules are used and open loops are closed through mutual adjustment, thus achieving integration. On the day of surgery, there is mainly standardization of work and output, based on hospital-wide rules. The authors propose topics for future research, focusing on increasing the hospital's robustness and stability.

This exploratory case study provides an overview of the rules and coordination mechanisms that are used for organizing hospital-wide logistics for surgery patients. The findings are important for future research on how integration and differentiation are effectively achieved in hospitals.

In many countries, health care reforms are being made with the purpose of stimulating actors to make economically sound decisions. Recent attempts in The Netherlands encompass the development and introduction of integrated health care arrangements. Since these arrangements are directly tailored to care demand, it is generally expected that integrated health care will enhance efficiency. This paper analyses whether a shift towards integrated health care actually represents a Pareto‐optimal change. An analysis of the consequences shows that care demanders, providers and informal care givers, to some extent and under certain conditions, can be expected to benefit from the introduction of integrated health care. Under long‐term considerations, the introduction of integrated care may be categorised as a potential Pareto‐improvement.

Delivery of integrated care by interorganisational networks attracts much attention in Europe. Such care is required to meet the demands of multi‐problem patients. Many efforts are made to establish networks. Often, established networks do not deliver integrated care. Managers must understand the background of this problem, in order to deal with it. The issue addressed here concerns behaviour control in networks of autonomous care‐providing organisations. So far, publications have focused on behaviour control in single organisations. Based on empirical data we argue that, due to an essential distinction between networks and single organisations, behaviour control in the former should be approached differently. In addition, we discuss the implications of our findings for the management of integrated care delivery.

Throughout Europe, there is an increasing number of independently living chronically ill patients who suffer from multiple and complex health problems. Several organisations which, individually, are not able to deliver all of the necessary services to these so‐called multiple problem patients, are involved in providing for their care. In countries like Sweden, the UK and The Netherlands, national governments consider co‐operation between providers to be essential in meeting the demands of these patients. In order to promote co‐operation, governments must know why and how particular relationships between providers come about. We argue that the nature of (resource) dependencies that are conditioned, shaped and secured by institutions determine the characteristics of these relationships. Using Dutch data, we illustrate the effect of legislation and government policies on dependencies and relationships. We indicate how government policy makers can shape dependence that is favourable to co‐operation.

While uncertainty has always been a feature of the healthcare environment, its pace and scope are rapidly increasing, fueled by myriad factors such as technological advancements, the threat and frequency of disruptive events, global economic developments, and increasing complexity. Contemporary healthcare organizations thus persistently face what is known as “deep uncertainty,” which obscures their ability to predict outcomes of strategic action and decision-making, presenting them with novel challenges and threatening their survival. Persistent, deep uncertainty challenges us to revisit and reconsider how we think about uncertainty and the strategic actions needed by organizations to thrive under these circumstances. Simply put, how can healthcare organizations thrive in the face of deeply uncertain environments? We argue that healthcare organizations need to employ both adaptive and creative strategic approaches in order to effectively meet patients' needs and capture value in the long-term future. The chapter concludes by offering two ways organizations can build the dynamic capabilities needed to employ such approaches.