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There are longstanding concerns about the sustainability of the US health care system. Payment reform has been seen over the last decade as a key strategy to reorienting the US health care system around value. Alternative payment models (APMs) that seek to accomplish this goal have become increasingly prevalent in the US, yet there is a perception that physicians are resistant to their use and that organizations have been slow to adopt such models. The reasons for the limited effectiveness of APM programs are multifactorial and include aspects related to the design and implementation of these programs and lack of alignment and coordination across different payers and health care sectors. Most importantly, however, is that the current organizational structures in US health care serve to dampen the direct impact of these incentives, often because health care delivery organizations face conflicting incentives themselves. Organizations filter and refine the incentives from multiple external payment contracts and develop internal incentive systems that best reflect the amalgamation of the incentives embedded across their contracts, and thus the fragmented nature of the US health care system serves to undermine efforts to transform care under value-based contracts. In addition to organizations having conflicting incentives, there also are fundamental problems with the design and implementation of APMs that hinder their acceptance among physicians and the organizations in which they work. Moreover, much remains to be learned about how organizations can best adapt to succeed under these models, and how organizational culture can be leveraged to transform care.

Bundled payments for care are an efficient mechanism to align payer, provider, and patient incentives in the provision of health care services for an episode of care. In this chapter, we use agency theory to examine the evolution of bundled payment programs in private and public payer arrangements, and postulate future directions for bundled payment development as a key component in the provision and payment of health care services.

The majority of economic crises impact the wealth of people which in turn affect their financial capacity to purchase residential properties. However, the home financing method may also have an impact on the behaviour of house prices. This chapter intends to test argued resilience of Islamic finance to situations of financial crisis by using an Islamic home financing product called Enhanced Musharakah Mutanaqisah (EMM) which was proposed by Asadov and Ibrahim (2018) as an example and compare its performance to conventional mortgage. Two different models of home financing, conventional and EMM based ones are developed with the former reflecting basic features of conventional mortgage and the latter using rental rates and house price indices for product pricing. Both models are compared using aggregate data for the US housing market for the past 30 years in order to demonstrate the resilience of the EMM model. The findings of the study show that EMM is more flexible in terms of reflecting real situations in both the housing market and aggregate economy as compared to the conventional model. Its pricing is more accommodating particularly during times of economic downturns, and it can potentially provide the solution to numerous mortgage defaults arising from such conditions. Despite the proposed models being tested using data only from the United States, the analysis can be generalized for other countries as well. The implementation of the EMM model, as an example of Shariah-based Islamic financial product, is expected to bring fairness and justice in the relationship between financial institutions and its clients. To the best of our knowledge, this is the first attempt of simulating a Musharakah Mutanaqisah based home financing using both actual rental rates and house prices for product pricing.

This chapter provides an overview of the role of technology and policy in shaping care plans for patients. Historically, healthcare has lagged behind other industry sectors in adopting and deploying useful technologies, and policy surrounding use is an important component of establishing a long-term strategy. This chapter evaluates the current state of technology in the clinical setting and extends the widely adopted policy-based approaches into the palliative care context.

To survey the policy-driven financial controls currently being used to drive physician change in the care of populations

This paper offers a review of current health care payment models and discusses the impact of each on the potential success of PHM initiatives. We present the benefits of a multi-part model, combining visit-based fee-for-service reimbursement with a monthly “care coordination payment” and a performance-based payment system.

A multi-part model removes volume-based incentives and promotes efficiency. However, it is predicated on a pay-for-performance framework that requires standardized measurement. Application of this model is limited due to the current lack of standardized measurement of quality goals that are linked to payment incentives.

Financial models dictated by health system payers are inextricably linked to the organization and management of health care.

There is a need for better measurements and realistic targets as part of a comprehensive system of measurement assessment that focuses on practice redesign, with the goal of standardizing measurement of the structure and process of redesign. Payment reform is a necessary component of an accurate measure of the associations between practice transformation and outcomes important to both patients and society.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower health literacy, rural healthcare systems also experience significant resource shortages, as well as issues with recruitment and retention of healthcare providers, particularly specialists. These factors combined result in complex change management-focused challenges for rural healthcare systems. Change management initiatives are often resource intensive, and in rural health organizations already strapped for resources, it may be particularly risky to embark on change initiatives. One way to address these change management concerns is by leveraging socio-technical simulation models to estimate techno-economic feasibility (e.g., is it technologically feasible, and is it economical?) as well as socio-utility feasibility (e.g., how will the changes be utilized?). We present a framework for how healthcare systems can integrate modeling and simulation techniques from systems engineering into a change management process. Modeling and simulation are particularly useful for investigating the amount of uncertainty about potential outcomes, guiding decision-making that considers different scenarios, and validating theories to determine if they accurately reflect real-life processes. The results of these simulations can be integrated into critical change management recommendations related to developing readiness for change and addressing resistance to change. As part of our integration, we present a case study showcasing how simulation modeling has been used to determine feasibility and potential resistance to change considerations for implementing a mobile radiation oncology unit. Recommendations and implications are discussed.

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.