Sustainable Person Centered Healthcare Through Intelligent Systems

The Person-Centered Care (PCC) conceptual background of healthcare positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based concep- tual background triggers enhanced application of Artificial Intelligence (AI), as it dissolves the limits of processing traditional medical data records. The ambition of taking care of a person health by knowing life conditions, values, and expectations for nurturing own health adds new dimensions for making PCC operational.

The collective monograph "Intelligent Systems for Sustainable Person-Centered Healthcare" establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective health care, driven by advanced technologies. The Person-Centered Care (PCC) conceptual background of healthcare positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence (AI), as it dissolves the limits of processing traditional medical data records. The ambition of taking care of a person health by knowing life conditions, values, and expectations for nurturing own health adds new dimensions for making PCC operational. The book discusses ability of intelligent healthcare system to monitor person health and improve quality of life. The monograph consists of three parts. Part I discusses conceptual background of healthcare system, identifying major differences in required knowledge and linking to its sources while applying patient- or person- oriented frameworks of care. The extensive analysis and conceptualization of healthcare systems characterizes context for implementing AI approach for research and application of AI technologies. Chapter 1 analyzes theoretical backgrounds of health care, it positions the personcentered care among the theoretical concepts of health care, shaping lifetime relationships among people and the medical institutions. The PCC concept suggests technological innovations and changes in providing healthcare services due to new requirements for inter-professional collaboration, application of scenario-based simulations and gaming for training of professionals at the healthcare institutions and redesigning their processes. Chapter 2 defines the operational considerations of PCC and introduces the specific routines for its implementation based of the analysis of person narratives, negotiating and building healthcare plans, and linking to relevant documents influencing and characterizing person health. Chapter 3 provides design and evaluation considerations for Person-Centred Care Implementation. It covers organizational process design for its implementation, applying intelligent technologies for processing information emanating from the PCC operational routines. The measures, indicators, and methods for valuing health care and its effects are researched. Chapter 4 discusses the customization forPCCintervention in a healthcare domain of pharmacy. It introduces the concept of PCC within pharmaceutical care delivery, explores its role as a part of multidisciplinary health services delivery teams. The role of health literacy, e-pharmacy service, and tele-pharmacy for implementing PCC is explored. Part II provides research of efficiency evaluation, decision-making, and sustainability in person-centered health care. Chapter 5 researches concept and models of shared decision-making as a framework of PCC. It focuses on multi-criteria decision-making techniques in healthcare settings. The ethical and practical considerations of shared decision-making in PCC and sensitive data emanating from patient narratives creates specific conditions and barriers for its implementation technologies.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

For years, problems related to health-care efficiency have been at the top of the priorities of many hospitals systems and governments. The growing cost of health care, and particularly hospitals, is a significant factor in the increasing pressure for improvement of hospitals’ efficiency while maintaining a high quality of services. Hospitals are recognized as organizations in which waste, unnecessary administrative burdens, failures of care coordination, failures in execution of care processes, and even fraud and abuse are frequently identified as causes. Adoption of management control as a response to hospital problems is consistent with the conviction that control is a critical management function that has the greatest impact on organizational performance. Research proves that the lack of adequate control, adapted to modern organizational solutions, causes many harmful consequences, such as faulty services, dissatisfied patients and employees, inability to effectively compete on market, low flexibility and innovativeness, and, consequently, poor performance of the organization. This book comprehensively presents issues related to management control and develops a breakthrough theory about management control in hospitals. It is the result of many years of research and outlines the concept of control and related theories, which are discussed in detail, taking into account the unique characteristics of medical services, the health-care market, and hospitals as public organizations. Research has shown that the main elements of management control in hospitals are information systems, diagnostic control, interactive control, innovativeness, manager’s trust in physicians, and perceived uncertainty. And that proper relationships between these elements positively influence the hospital’s performance. This book describes how the success of the entire control process is based on the hospital’s top management and its interaction with clinical managers, department heads, and directors of other medical departments as well as clinicians. After reading this book, the implementation of the solutions suggested will help hospitals improve their performance, including the quality and effectiveness of the provided medical services and patient care.

The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.

Pharmaceutical Care in the Digital Revolution: Blending Digital with Human Innovation, Second Edition provides readers with an updated view on how to use technology to improve pharmaceutical care (PC) and enhance drug outcomes with digital tools. Organized into four parts, including Global Healthcare Systems Under Pressure, Digital Advances to Innovate Pharmaceutical Care Journeys, Conditions to Drive Combinatoric Pharma-Digital Innovation, and What to do Tomorrow as a Pharmaceutical Care Leader, the book further examines digital developments that will optimize the PC process and prepare stakeholders for a dynamic future that will optimize the life of patients against a sustainable cost model. This edition also discusses recent advances in the digital health arena that will change the way we approach healthcare and prevention while also providing interactive links to lectures and technologies, tutorials on how to implement advances in your own working environment, and examples of pharmacists who are successful in building synergy between digital and pharma. Teachers readers about new advances in digital health technology Provides updated insights on future pharmaceutical care and how to implement essential conditions to create the best outlook for patients Includes updated access links and QR codes as educational material for the book

Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Università degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024