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Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under pharma, medical, biotechnology, and nursing. Also, other fields may be aligned with these primary fields. Healthcare amasses the contemporary trends and knowledge of upcoming techniques to improve healthcare processes. The practitioners are primarily doctors, nurses, specialists and health professionals, hospital administrators, and health insurance.

It is a fundamental attribute needed for any society to attain good quality of life and well-being in mental and physical health. It is a fundamental right of people to receive good healthcare where drug treatment and hospitalization are available at a nominal cost, as a requirement of today’s modern era. There appears to be a significant disparity in the availability of good healthcare in rural areas compared to urban in India. Even though we enter the digital era with the facilities offered in Industry 4.0 and other advanced technologies brings about a significant change of overall processing within healthcare systems. During the pandemic of COVID-19, there has been digital transformation with success globally. Healthcare cooperatives are a new norm to support the healthcare systems globally. The chapter discusses Gampaha healthcare cooperative and reviews Ayushman Sahakar scheme in India. The reforms require time to evolve.

This paper advances a research agenda for service researchers at the intersection of healthcare and information technologies to improve access to quality healthcare at affordable prices. The article reviews key trends to provide an agenda for research focusing on strategies, governance and management of key service processes.

This paper synthesizes literature in information systems, service management, marketing and healthcare operations to suggest a research agenda. The authors draw on frameworks such as the interpretive model of technology, technology acceptance model, assemblage theories and Baumol's cost disease to develop their arguments.

The paper situates strategy-related service management questions that service providers and consumers face in the context of emerging healthcare and technology trends. It also derives implications for governance choices and questions related to that.

The paper discusses service management challenges and concludes with an agenda for future research that touches on governance and service management issues.

This paper provides implications for healthcare service providers and policymakers to understand new trends in healthcare delivery, technologies and facilities management to meet evolving customer needs.

This paper provides implications for managing healthcare services that touch on many social and societal concerns.

This conceptual paper provides background and review of the work at the intersections of information systems, marketing and healthcare operations to draw implications for future research.

The purpose of this paper is to identify five quality improvement initiatives for healthcare system leaders, produced by such leaders themselves, and to provide some guidance on how these could be implemented.

A multi-stage modified-Delphi process was used, blending the Delphi approach of iterative information collection, analysis and feedback, with the option for participants to revise their judgments.

The process reached consensus on five initiatives: change information privacy laws; overhaul professional training and work in the workplace; use co-design methods; contract for value and outcomes across health and social care; and use data from across the public and private sectors to improve equity for vulnerable populations and the sickest people.

Information could not be gathered from all participants at each stage of the modified-Delphi process, and the participants did not include patients and families, potentially limiting the scope and nature of input.

The practical implications are a set of findings based on what leaders would bring to a decision-making table in an ideal world if given broad scope and capacity to make policy and organisational changes to improve healthcare systems.

This study adds to the literature a suite of recommendations for healthcare quality improvement, produced by a group of experienced healthcare system leaders from a range of contexts.

To evaluate the service quality and usability of a student health clinic.

A measurement tool, termed SERVUSE, was created by modifying SERVQUAL. The modified survey included all five original dimensions in addition to a usability dimension. The survey was administered to 200 patients at the health clinic.

SERVUSE was found to be a valid tool for measuring service quality in this setting. The health clinic received a gap score of −0.357, showing that customer expectations were not met.

The student health clinic and subject participants are a special population that may display different characteristics from other healthcare providers.

SERVUSE is a tool that can be used to aid in improving a health clinic's service quality. Usability is an important feature for healthcare providers to improve.

This paper provides useful information to healthcare providers, especially in a university setting.

Patient safety is a top priority globally. A robust healthcare system requires strategic collaboration between research and development. The author analysed over 300 cases from seven hospitals using the failure modes, effects, and criticality analysis (FMECA) tool to understand the underlying causes of medical errors.

The author studied seven hospitals and 300 cases using FMECA to prioritise activities. The findings showed that high-priority events occurred less frequently but had the potential to cause the most harm. Team members evaluated independently to ensure unbiased evaluations. This approach is useful for setting priorities or assessing difficulties.

Poor communication and lack of coordination among staff in a healthcare organisation caused misunderstandings, ineffective decision-making, delays in patient care, and medical errors. Implementation of effective communication and coordination protocols can help avoid these problems.

The study recommends using FMECA to identify and prioritise failures and conducting in-depth analyses to understand their root causes. It also highlights the importance of interdisciplinary knowledge and soft skills for healthcare staff.

This study reveals the significance of FMECA in healthcare risk management and benchmarking. FMECA helps identify system failures, develop prevention strategies, and evaluate effectiveness against industry benchmarks. It offers healthcare professionals a valuable tool to enhance patient safety and improve healthcare quality.

This chapter aims to provide suggestive evidence on how the Lombardy region dealt with the COVID-19 pandemic in 2020 and discuss future challenges for the Lombardy healthcare system. After an introduction to the wide spread of the virus inside the region, we describe the Lombardy health system so the reader may understand the context in which the virus has taken hold so quickly. The pandemic has heavily stressed the system, mainly because Lombardy experienced an excess of hospital admissions. We have considered the increased mortality rate as a proxy of the proper managing of the COVID-19 pandemic. In addition, we describe the process of treating non-COVID patients, such as those affected by acute myocardial infarction (AMI), stroke and oncological diseases. Despite the pandemic, hospitals have been able to guarantee a high level of performance. A discussion of the future evolution of the healthcare system concludes this chapter.

Social media has made a revolutionary change in the relationship between the customers and business or service providers by enabling customers to publish and share feedback and views about product or service quality. This revolutionary change has not been echoed in some healthcare systems. This study analyses the social media policies of healthcare regulatory authorities in Ontario and explores how these policies encourage or discourage healthcare professionals' use of social media for collecting patient stories and understanding patient experience.

The study used qualitative content analysis to analyse the policy documents, focusing on the manifest themes in these documents. It used convenient sampling to select 12 organizations, including regulating and licensing bodies and health service delivery organizations in Ontario. The authors collected 24 documents from these organizations, including policies, practice standards and social media learning materials.

In Ontario's healthcare system, social media is perceived as a source of risks to the healthcare professions and professionals. Healthcare regulators emphasize that the codes of conduct and professional standards extend to social media. The study found no systematic recognition of patient stories on social media as a source of information on healthcare quality that can be useful for healthcare professionals.

The study identifies potential unintended consequences of social media policies in the healthcare system and calls for policy and cultural changes to enable the development of safe social media platforms that can facilitate interaction between healthcare providers and patients, when necessary, without the fear of legal consequences or privacy breaches.

Current health care quality performance indicators appear to be inadequate to inform the public to make the right choices. The aim of this paper is to define a framework and an organizational setting in which valid and reliable healthcare information can be produced to inform the general public about healthcare quality.

To improve health care quality information, the paper explores the analogy between financial accounting, which aims to produce valid and reliable information to support companies informing their shareholders and stakeholders, and healthcare aiming to inform future patients about healthcare quality. Based on this analogy, the authors suggest a measurement framework and an organizational setting to produce healthcare information.

The authors suggest a five‐quality element framework to structure quality reporting. The authors also indicate the best way to report each type of quality, comparing performance indicators with certification/accreditation. Health gain is the most relevant quality indicator to inform the public, but this information is the most difficult to obtain. Finally, the organizational setting, comparable to financial accounting, required to provide valid, reliable and objective information on healthcare quality is described.

Framework elements should be tested in quantitative studies or case studies, such as a performance indicator's relative value compared to accreditation/ certification. There are, however, elements that can be implemented right away such as third party validation of healthcare information produced by healthcare institutions.

Given the money spent on healthcare worldwide, valid and reliable healthcare quality information's value can never be overestimated. It can justify delivering “expensive” healthcare, but also points the way to savings by stopping useless healthcare. Valid and reliable information puts the patient in the driver's seat and enables him or her to make the right decision when choosing their healthcare provider.

The purpose of this paper is to define a new conceptual framework or model, to measure and manage organizational performance, both financial/non-financial and intellectual capital (IC), in a healthcare organization.

The integrated new model is produced by integrating the common assessment framework (CAF) model with two other frameworks representing the IC and leadership. These already existing models are originated, respectively by the Health Agency of Emilia-Romagna Region (Italy) and the National Healthcare System (NHS – UK). The integration phase is operated by comparing the CAF and IC models so as to assess the determinant factors that are present in both frameworks and eliminating such redundancies. Concerning the leadership determinant factor, the relevant conceptual framework of CAF model is substituted by the new leadership model proposed by the NHS.

A new integrated model is made available for a subsequent step of empirical implementation and validation through its application in a healthcare organization. The main advantage of this model is the ability to measure and manage IC and financial/non-financial performance. Moreover, the use of a single measurement system facilitates the interpretation and coherency assessment of measured data so originated.

The added value this work provides will enrich the academic literature regarding performance measurement systems in healthcare organizations, also providing an original integrated model that is able to exhibit the advantages highlighted above.

Recent studies indicated that the level of adoption of health data standards in healthcare organisations remains frustratingly low worldwide although health data standards have been perceived to be an essential tool for interoperability barriers within health information systems. The relevant literature still lacks significant studies concerning the issues of the adoption process of health data standards in healthcare organisations, and in particular those in developing nation. In addressing this gap in knowledge, the purpose of this paper is to investigate the adoption decision of health data standards in tertiary healthcare organisations in Saudi Arabia, and to develop a technology-organisation-environment list that contains the critical factors influencing their adoption.

A multiple-case study methodology was conducted in Saudi Arabia and different data collection methods were used included semi-structured interviews with different decision makers at various levels and departments of the subject organisations, and documents analysis to identify critical factors to the adoption decision of health data standards.

The findings demonstrated a list of key factors from different aspects impacting the adoption decision of health data standards in the subject organisations. The technological factors are complexity and compatibility of health data standards, IT infrastructure, switching costs, market uncertainties, systems integration and enhancing the use of advanced systems. The main organisational factors are the lack of adequate policies and procedures and information management plan, resistance to change, data analysis and accreditation. The core environmental factors are the lack of national regulator and data exchange plan, national healthcare system and the shortage of professionals.

The results from the qualitative data were difficult to generalise to other populations. For example, the structure of the health sector varies from country to country as each health sector has its own characteristics that affect and are affected by national circumstances. In order to provide a more grounded theory resulting from a qualitative study, further examination by conducting quantitative studies is required. In addition, the TOE approach does not take into account the sociotechnical issues and further research is required in this area.

The investigation into the adoption decision of health data standards in tertiary healthcare organisations in Saudi Arabia has led to the development of a technology-organisation-environment list that contains the critical factors influencing their adoption. The research outcome has addressed the gap in knowledge of the adoption of health data standards in healthcare organisations. It also provides the decision maker, and in particular those in developing nations, with better understanding of the adoption process of those standards to better judge and to develop suitable strategy of adoption interventions.

Although recent studies indicated that the level of adoption of health data standards in healthcare organisations remains frustratingly low, the prior studies related to health data standards missed out on the exploration of the adoption decision of different types of health data standards in healthcare organisations and the critical factors influencing their adoption. Research on health data standards adoption based out of a developing country such as Saudi Arabia can also potentially provide several new insights on standards practices.