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The utilization of artificial intelligence (AI) in the solution of many problems encountered in healthcare in recent years is rapidly becoming widespread. Understanding of the use and importance of efficiency, security and accessible healthcare to everyone and providing value-based services for healthcare decision-makers is essential. The special uses of machine learning, natural language processing and smart voice assistants, which have developed as sub-branches of AI, for healthcare services, the contributions of these techniques to the digital transformation of healthcare services and how all these will help decision-making processes in healthcare services, will be discussed in this chapter. And also, FDA-approved algorithms that are a kind of AI tool will be explained.

This study illuminates the experiences of adults diagnosed with autism spectrum disorders (ASDs) and intellectual disabilities (IDs) and their challenges and successes in receiving quality healthcare services. Individuals with developmental disabilities often experience health issues associated with aging at earlier ages and at higher rates than the general population. This population has a higher incidence of chronic health conditions that require regular medical attention.

The intent of this project was to learn directly from adults and their caregivers how well healthcare providers understand autism, explore their experience with how well their care is coordinated between primary healthcare and other specialty services, and identify factors which could impact access to care and to discover what other barriers which may potentially influence health outcomes for ASD adult.

A qualitative study conducted with semi-structured interviews with 12 adults diagnosed with ASD and/or their guardians/caregivers.

Some of the adults interviewed experienced negative health outcomes and suboptimal relationships with healthcare providers; others seemed to have positive relationships. Clinical and communications accommodations were necessary to make healthcare provision more comfortable. Barriers to accessing healthcare services existed in many forms.

The healthcare needs of the growing population adults diagnosed with ASD/ID are anticipated to be significant. This challenge is further exacerbated given there are few trained healthcare providers who are prepared or dedicated to serve this population. Continuing to build awareness of the health needs of the ASD/ID adult population is critical.

This project is highly innovative as it is the first attempt to understand how the adult autism population accesses care and perceives their healthcare interactions. This study serves as a starting point to suggest new opportunities for further research for this growing population.

According to Global Healthcare Security Index 2021, India ranked 66 out of 195 countries, indicating the need and scope for improvement. The Cooperative healthcare system which has been rendering exemplary services is yet to gain visible recognition in India. Given the need for upgrading the health infrastructure in India and providing more affordable health services to the country’s growing population, it would help appreciate the large role that cooperative healthcare can play along with others. This study explores the structure, conduct, and performance of healthcare co-operatives in India, the factors contributing to their success and failure, and the challenges they face. The Health Cooperatives have a strong presence in Kerala and Karnataka and are also coming up in other parts of the country. However, a detailed database of them for public awareness is very limited. The cooperative hospitals can meet the basic requirements of curative treatment in rural and poorly-endowed urban areas. The democratic way in which they function makes them a destination for a financially weaker section. They must retain this feature. The study covers two successful cases which reveal that India needs a more dense healthcare cooperative network. Since cooperative hospitals in tune with the spirit of service run on the principle of being ‘Not-for-Profit’ they need to be supported by the governments more liberally, without however interfering with their governance and administration.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

This mixed-methods study reports on an outreach clinics program designed to deliver genetic services to medically underserved communities in Wisconsin.

We show the geographic distribution, funding patterns, and utilization trends for outreach clinics over a 20-year period. Interviews with program planners and outreach clinic staff show how external and internal constraints limited the program’s capacity. We compare clinic operations to the conceptual models guiding program design.

Our findings show that state health officials had to scale back financial support for outreach clinic activities while healthcare providers faced increasing pressure from administrators to reduce investments in charity care. These external and internal constraints led to a decline in the overall number of patients served. We also find that redistribution of clinics to the Milwaukee area increased utilization among Hispanics but not among African-Americans. Our interviews suggest that these patterns may be a function of shortcomings embedded in the planning models.

Planning models have three shortcomings. First, they do not identify the mitigation of health disparities as a specific goal. Second, they fail to acknowledge that partners face escalating profit-seeking mandates that may limit their capacity to provide charity services. Finally, they underemphasize the importance of seeking trusted partners, especially in working with communities that have been historically marginalized.

There has been little discussion about equitably leveraging genetic advances that improve healthcare quality and efficacy. The role of State Health Agencies in mitigating disparities in access to genetic services has been largely ignored in the sociological literature.

The twentieth century started writing the history of modern health systems. Their evolvable rate is now higher than ever. The Western Europe was the forefront of setting up the national health systems (NHS) to protect citizens and let them thrive. Successful models progressively crossed the borders and experiences became universal. Hence, this chapter tackles data to perceive the underwent radical transformations and capture intricate aspects to envision the next and get answers time ahead the patients‘needs. Health organizational structures and human resources management play crucially in improving system’s performances: managerial qualities, medical entities’ functionality, results’ forecasting are essential to build up credibility and aid strategic patterns to evolve.

Changes are welcome to better tailor performances, assure successful implementation, avoid inadequate, distressing reforms. Stable and consistent policies are also called for.

Grounded on fundamental patterns, open to applicatory innovation, countries follow specific arrangements to resound with healthcare robustness if goals are well-thought-of: keeping people healthy and safe, identifying and treating defectiveness or abnormal physiological functions affecting people, operations, circuits, and preserving health budget wisely balanced.

Activities and citizens are touched by any structural changes maneuvered. To confront them, a keen eye should be addressed to those nobody’s areas into synergistic efforts to cope with internal causes, face external forces and improve life through fair profitability on the way of full satisfaction.

There is a renewed interest among economists and policymakers in striking a perfect balance between the market, state, and the community for equitable and sustained development. Inclusive development is the need of the hour and healthcare cooperatives provide the perfect means to deliver that. The cooperatives can and should have an important role to play in this scenario. However, there is an important need to provide an enabling environment for the genesis and growth of Healthcare Cooperatives in India and to learn from the best models and practices across the world. The chapter discusses the effectiveness of healthcare cooperatives.