Entropy Optimization by Redesigning Organization in Hospital Operations.

A redesign of hospitals (i.e., partitioning departments and delegating decision authority) may be needed to deal with variable demand. Uncertain demands and throughput times often need short reaction times. In this study, we develop quantitative methods to guide a redesign through an information-processing approach. To demonstrate how the methods can be used in practice, we tested them by applying them to a large perinatology care system in the Netherlands. We used the following two methods: 1. portfolio optimization and 2. efficient coordination of workload and reallocation of nurses. Our case study of a large perinatology care system showed that several designs of clustered units minimized the demand uncertainty in the perinatology care system. For the coordination strategy, the information and decision uncertainty is minimized when the decision power is positioned at the operation level and with the help of a centralized information system. When the operation decision-making power is not supplemented with the centralized and system-wide information system, hospitals can better use the hierarchy model, where the manager holds decision-making power with a system-wide overview. We also found that the speed of decision-making in real-time depends on the level of information aggregation set up by the system. We conclude that combining the correlation perspectives and the entropy theory is a way of quantifying how organizations can be (re)designed.

Hospital Organizational Structure and Information Processing: An Entropy Perspective.

Organizational structure enables organizations to achieve their goals. The chosen organizational structure determines, to a large extent, the flow of information streams and the manner and extent to which roles, power, and responsibilities are delegated and coordinated to achieve the organization's goals. In this study, we applied information theory with entropy as the central concept to assess the effectiveness and costs of an organizational structure and its coordination processes. Entropy was used to measure the amount of uncertainty associated with probabilistic events. In the context of organizational design, entropy values can be assigned to specific organizational structures to gain insights into the factors that lead to delays in decision-making. We used Shannon's entropy theory to quantify Galbraith's organizational structure and coordination process as applied to the perinatology care system of Radboud University Medical Centre in the Netherlands. Our entropy analysis provided insights into how departments should be partitioned and which coordination mechanisms should be used to achieve organizational goals, such as minimizing delays in decision-making. Particularly, two types of entropy appear to be important: positional entropy and task allocation entropy. These are different dependent variables on the organizational design scenarios. Our analysis shows that entropy is one method to determine optimal organizational structures and coordination processes. Entropy can be used as a concrete way of assessing the effectiveness of organizational design given the level of uncertainty of the environment and the required speed of decision-making.

Inpatient flow management: a systematic review.

PURPOSE: In hospitals, several patient flows compete for access to shared resources. Failure to manage these flows result in one or more disruptions within a hospital system. To ensure continuous care delivery, solving flow problems must not be limited to one unit, but should be extended to other departments - a prerequisite for solving flow problems in the entire hospital. Since most current studies focus solely on overcrowding in emergency units, additional insights are needed on system-wide patient flow management. The purpose of this paper is to look at the information available in system-wide patient flow management studies, which were also systematically evaluated to demonstrate which interventions improve inpatient flow. DESIGN/METHODOLOGY/APPROACH: The authors searched PubMed and Web of Science (Core Collection) literature databases and collected full-text articles using two selection and classification stages. Stage 1 was used to screen articles relating to patient flow management for inpatient settings with typical characteristics. Stage 2 was used to classify the articles selected in Stage 1 according to the interventions and their impact on patient flow within a hospital system. FINDINGS: In Stage 1, 107 studies were selected. Although a growing trend was observed, there were fewer studies on patient flow management in inpatient than studies in emergency settings. In Stage 2, 61 intervention studies were classified. The authors found that most interventions were about creating and adding supply resources. Since many hospital managers these days cannot easily add capacity owing to cost and resource constraints, using existing capacity efficiently is important - unfortunately not addressed in many studies. Furthermore, arrival variability was the factor most frequently mentioned as affecting flow. Of all interventions addressed in this review, the most prominent for advancing patient access to inpatient units was employing a specialized individual or team to maintain patient flow and bed placement across hospital units. ORIGINALITY/VALUE: This study provides the first patient flow management systematic overview within an inpatient setting context.

A case study of cost-efficient staffing under annualized hours.

We propose a mathematical programming formulation that incorporates annualized hours and shows to be very flexible with regard to modeling various contract types. The objective of our model is to minimize salary cost, thereby covering workforce demand, and using annualized hours. Our model is able to address various business questions regarding tactical workforce planning problems, e.g., with regard to annualized hours, subcontracting, and vacation planning. In a case study for a Dutch hospital two of these business questions are addressed, and we demonstrate that applying annualized hours potentially saves up to 5.2% in personnel wages annually.

Use of business model potential in Dutch academic medical centres-A case study.

Academic Medical Centres (AMCs) are large organisations with a complex structure due to various intertwined missions and (public) roles that can be conflicting. This complexity makes it difficult to adapt to changing circumstances. The literature points to the use of business models to address such challenges. A business model describes the resources, processes, and cost assumptions that an organisation makes in order to the delivery of a unique value proposition to a customer/patient. Do AMC business operations managers actually use business models to address challenges and operate in a way that enables AMCs to adapt to changing circumstances? This study explored whether the use of a business model is a starting point for bringing about change in AMC operations. A case study design was considered appropriate to explore the knowledge and experience of business models among business operations managers of Dutch AMCs. Through purposive sampling, participants were invited to participate in a questionnaire to provide in-depth and detailed information about the use of business models in AMCs. Our research showed that a business model can support the complex organisation of an AMC, but the design and use of business models varies. In general, respondents attribute more potential to the use of a business model than they experience in daily practice. The majority consider a business model to be suitable for bringing about change, but see it only sparingly used in their own AMC. This is the first study to provide some initial insights into the use of business models in Dutch AMCs. We can assume that improvements are possible in order to optimise the change potential of business models in AMCs worldwide. In order to successfully implement an innovative business model, the interpretation of the concept of a business model and the creation of a framework of preconditions should be taken into account. Healthcare providers, policy makers or researchers should explicitly identify the environment in which the model will operate. In particular, by identifying the level of readiness for change readiness at all levels of the organisation.

Inventory and analysis of literature on the organisation of eight European academic medical centres-A scoping review.

Academic Medical Centres (AMCs) are important organisations for shaping healthcare. The purpose of this scoping review is to understand the scope and type of evidence related to the organisation of European AMCs. We selected the study population intending to obtain a demographic cross-section of European countries: Czech Republic, Germany, Latvia, the Netherlands, Poland, Spain, Sweden and the UK. We focused our search strategy on the relationship between medical schools and AMCs, the organisation of governing bodies, and legal ownership. We searched the bibliographic databases of PubMed and Web of Science (most recent search date 17-06-2022). To enrich the search result, we used Google search engines to conduct targeted searches for relevant websites. Our search strategy yielded 4,672 records for consideration. After screening and reviewing full-text papers, 108 sources were included. Our scoping review provided insight into the scope and type of evidence related to the organisation of European AMCs. Limited literature is available on the organisation of these AMCs. Information from national-level websites complemented the literature and provided a more complete picture of the organisation of European AMCs. We found some meta-level similarities regarding the relationship between universities and AMCs, the role of the dean and the public ownership of the medical school and the AMC. In addition, we found several reasons why a particular organisational and ownership structure was chosen. There is no uniform model for AMC organisations (apart from some meta-level similarities). Based on this study, we cannot explain the diversity in these models. Therefore, further research is needed to explain these variations. For example, by generating a set of hypotheses through in-depth case studies that also focus on the context of AMCs. These hypotheses can then be tested in a larger number of countries.

Academic medical centres in the Netherlands: muddling through or radical change?

Introduction: Academic medical centres (AMCs) are designed to perform multiple tasks within a single organisation. This institutional complexity gives rise to intricate governance challenges and promotes incrementalism and muddling. Method: In this study, we hypothesised that radical change could provide a solution to the current incrementalism and we explored the conditions under which such changes could or could not be achieved. Results: We conducted unstructured interviews with various high-level stakeholders and identified issues that negatively affected the governance of Dutch AMCs, which include: 1) negative undercurrents and unspoken issues due to conflicts of interests, 2) organisational complexity due to relationships with a university and academic medical specialists, 3) lack of sufficient government direction, 4) competition between AMCs due to perverse systemic incentives, 5) different interests, focus, and organisational culture, 6) concentration of care, which does not always lead to enhanced quality and efficiency as the provision of less complex care is of utmost importance for education and research, 7) the infeasibility of public and regional functions of an AMC, 8) the inefficiency of managing three core tasks within the same organisation and, 9) healthcare market regulation. Discussion: Our hypothesis that radical change offers a solution to the current incrementalism in AMCs could not be adequately explored. Indeed, our exploration of the conditions under which radical change could potentially take place revealed that there are factors currently at play that make a substantive conversation between stakeholders about radical change difficult, if not impossible. The results also show that the government is in a position to take the lead and create conditions that foster mutual trust and common interests among AMCs, as well as between AMCs and other hospitals.

Creating Coherence-Based Nurse Planning in the Perinatology Care System.

The combination of increasing demand and a shortage of nurses puts pressure on hospital care systems to use their current volume of resources more efficiently and effectively. This study focused on gaining insight into how nurses can be assigned to units in a perinatology care system to balance patient demand with the available nurses. Discrete event simulation was used to evaluate the what-if analysis of nurse flexibility strategies and care system configurations from a case study of the Perinatology Care System at Radboud University Medical Center in Nijmegen, the Netherlands. Decisions to exercise nurse flexibility strategies to solve supply-demand mismatches were made by considering the entire patient care trajectory perspective, as they necessitate a coherence perspective (i.e., taking the interdependency between departments into account). The study results showed that in the current care system configuration, where care is delivered in six independent units, implementing a nurse flexibility strategy based on skill requirements was the best solution, averaging two fewer under-/overstaffed nurses per shift in the care system. However, exercising flexibility below or above a certain limit did not substantially improve the performance of the system. To meet the actual demand in the studied setting (70 beds), the ideal range of flexibility was between 7% and 20% of scheduled nurses per shift. When the care system was configured differently (i.e., into two large departments or pooling units into one large department), supply-demand mismatches were also minimized without having to implement any of the three nurse flexibility strategies mentioned in this study. These results provide insights into the possible solutions that can be implemented to deal with nurse shortages, given that these shortages could potentially worsen in the coming years.

First aid and basic life support of junior doctors: A prospective study in Nijmegen, the Netherlands.

According to the Dutch medical education guidelines junior doctors are expected to be able to perform first aid and basic life support. A prospective study was undertaken to assess the level of first aid and basic life support (BLS) competence of junior doctors at the Radboud University Nijmegen Medical Centre (RUNMC), the Netherlands. Fifty-four junior doctors (18%), of the medical students in their final years, were submitted to a theoretical test, composed of multiple-choice questions concerning first aid and basic life support. This test was followed by a practical test consisting of two out-of-hospital first aid and basic life support scenarios including cardiopulmonary resuscitation (CPR). In total, 19% of the junior doctors passed the theoretical test. The first scenario was performed correctly in 11%. The CPR situation was correctly performed by 30% of the students as observed by the examiners but when assessed by the checklists of Berden only 6% of the students performed correct CPR. It is concluded that the level of first aid and basic life support of the junior doctors at the RUNMC is low and does not meet the required level as stated in the guidelines for practice of medical education in the Netherlands.

Selective Embolisation of a Heavily Bleeding Cervical Fibroid in a Pregnant Woman.

We report a case of a 20-week pregnant woman, who underwent embolisation of a cervical fibroid to end a life-threatening massive bleeding. This is the first reported case in the literature of a super-selective uterine fibroid embolisation (UFE) in a pregnant woman, even though pregnancy is considered an absolute contraindication for UFE. This rare case demonstrates that UFE can be safely performed during pregnancy providing an excellent short- and long-term clinical outcome for both mother and child.