Nilmini Wickramasinghe - Böcker

Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making. Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like artificial intelligence, machine learning, deep learning, Internet of Things, blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like artificial intelligence in the field of knowledge management is also discussed.This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave the way for a new arena in healthcare and knowledge management.

Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making. Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like artificial intelligence, machine learning, deep learning, Internet of Things, blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like artificial intelligence in the field of knowledge management is also discussed.This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave the way for a new arena in healthcare and knowledge management.

The discipline of Knowledge Management (KM) is rapidly becoming established as an essential course or module in both information systems and management programs around the world. Many KM texts pitch theoretical issues at too technical or high a level, or presenting a only a theoretical prescriptive treatment of knowledge or KM modeling problems. The Knowledge Management Primer provides students with an essential understanding of KM approaches by examining the purpose and nature of its key components. The book demystifies the KM field by explaining in a precise, accessible manner the key concepts of KM tools, strategies, and techniques, and their benefits to contemporary organizations. Readers will find this book filled with approaches to managing and developing KM that are underpinned by theory and research, are integrative in nature, and address softer approaches in manifesting and recognizing knowledge.

The discipline of Knowledge Management (KM) is rapidly becoming established as an essential course or module in both information systems and management programs around the world. Many KM texts pitch theoretical issues at too technical or high a level, or presenting a only a theoretical prescriptive treatment of knowledge or KM modeling problems. The Knowledge Management Primer provides students with an essential understanding of KM approaches by examining the purpose and nature of its key components. The book demystifies the KM field by explaining in a precise, accessible manner the key concepts of KM tools, strategies, and techniques, and their benefits to contemporary organizations. Readers will find this book filled with approaches to managing and developing KM that are underpinned by theory and research, are integrative in nature, and address softer approaches in manifesting and recognizing knowledge.

Quality care of patients requires evaluating large amounts of data at the right time and place and in the correct context. With the advent of electronic health records, data warehouses now provide information at the point of care and facilitate a continuous learning environment in which lessons learned can provide updates to clinical, administrative, and financial processes. Given the advancement of the information tools and techniques of today’s knowledge economy, utilizing these resources are imperative for effective healthcare. Thus, the principles of Knowledge Management (KM) are now essential for quality healthcare management.The Healthcare Knowledge Management Primer explores and explains essential KM principles in healthcare settings in an introductory and easy to understand fashion. This concise book is ideal for both students and professionals who need to learn more about key aspects of the KM field as it pertains to effecting superior healthcare delivery. It provides readers with an understanding of approaches to KM by examining the purpose and nature of its key components and demystifies the KM field by explaining in an accessible manner the key concepts of KM tools, strategies and techniques, and their benefits to contemporary healthcare organizations.

Quality care of patients requires evaluating large amounts of data at the right time and place and in the correct context. With the advent of electronic health records, data warehouses now provide information at the point of care and facilitate a continuous learning environment in which lessons learned can provide updates to clinical, administrative, and financial processes. Given the advancement of the information tools and techniques of today’s knowledge economy, utilizing these resources are imperative for effective healthcare. Thus, the principles of Knowledge Management (KM) are now essential for quality healthcare management.The Healthcare Knowledge Management Primer explores and explains essential KM principles in healthcare settings in an introductory and easy to understand fashion. This concise book is ideal for both students and professionals who need to learn more about key aspects of the KM field as it pertains to effecting superior healthcare delivery. It provides readers with an understanding of approaches to KM by examining the purpose and nature of its key components and demystifies the KM field by explaining in an accessible manner the key concepts of KM tools, strategies and techniques, and their benefits to contemporary healthcare organizations.

This text provides a comprehensive introduction to the new field of knowledge management. It approaches the subject from a management rather than a highly technical point of view, and provides students with a state-of-the-art survey of KM and its implementation in diverse organizations. The text covers the nature of knowledge (tacit and explicit), the origins and units of organizational knowledge, and the evolution of knowledge management in contemporary society. It explores the implementation and utilization of knowledge management systems, and how to measure their impact, outputs, and benefits. The book includes a variety of original case studies that illustrate specific situations in which the absence or existence of knowledge management systems has been crucial to the organization's actions. Charts and figures throughout help clarify more complex phenomena and classifications, and each chapter includes review questions and a comprehensive index.

Healthcare systems globally are grappling with how best to implement effective and efficient patient-centred care while simultaneously trying to contain runaway costs and provide high quality. This book explores the essential enabling role of digital health, taking a socio-technical perspective and looking at the key facets of technology, people and process in turn.This book examines the opportunities of key digital health components, demystifying digital health and demonstrating how to use its key precepts effectively. The book presents evidence and anecdotes from stakeholders around the world, demonstrating the global relevance and the ability of digital health to uplift and upskill care delivery as it is applied commercially. Bridging academic theory and practice, this is a functional and accessible text for all digital health stakeholders.The text introduces critical issues and is suitable reading for students, practitioners and researchers in digital health and all healthcare-related domains.

Healthcare systems globally are grappling with how best to implement effective and efficient patient-centred care while simultaneously trying to contain runaway costs and provide high quality. This book explores the essential enabling role of digital health, taking a socio-technical perspective and looking at the key facets of technology, people and process in turn.This book examines the opportunities of key digital health components, demystifying digital health and demonstrating how to use its key precepts effectively. The book presents evidence and anecdotes from stakeholders around the world, demonstrating the global relevance and the ability of digital health to uplift and upskill care delivery as it is applied commercially. Bridging academic theory and practice, this is a functional and accessible text for all digital health stakeholders.The text introduces critical issues and is suitable reading for students, practitioners and researchers in digital health and all healthcare-related domains.

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area.This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area.This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

This book focuses on using analytics and artificial intelligence (AI) to offer a high-quality value proposition to address dementia, a growing and concerning global healthcare problem. By enabling better decision-making support, minimizing medical errors and use of specific treatment strategies, digital technologies are key to effective care for People Living with Dementia (PLWD). By taking a unique triumvirate approach of focusing simultaneously on people issues, technical issues and process issues, the critical success issues are identified.The first point of concern is the different major stakeholders, including PLWD, their family carer, their challenges and major barriers and facilitators. Next, the vast pool of digital tools is considered, such as the different forms of mobile, platforms, sensors, IoT, chatbots, avatars, robots, augmented reality, virtual reality and mixed reality. This leads next to looking at the important considerations for the design and development of digital health solutions for priority areas of action in the Global Action Plan on Dementia, including co-design and research. By using a global perspective, the international examples help to better appreciate culture and practices, as countries differ significantly regarding many key issues pertaining to healthcare delivery. The editors endeavour to cover all areas pertinent to leveraging digital health solutions to facilitate the realization of value-driven healthcare delivery for all healthcare systems.This book is a new and comprehensive text, which would serve as an important resource for practitioners and professionals in healthcare and would be beneficial as a supplementary text for students undertaking studies relating to health informatics and public healthcare.

This book focuses on using analytics and artificial intelligence (AI) to offer a high-quality value proposition to address dementia, a growing and concerning global healthcare problem. By enabling better decision-making support, minimizing medical errors and use of specific treatment strategies, digital technologies are key to effective care for People Living with Dementia (PLWD). By taking a unique triumvirate approach of focusing simultaneously on people issues, technical issues and process issues, the critical success issues are identified.The first point of concern is the different major stakeholders, including PLWD, their family carer, their challenges and major barriers and facilitators. Next, the vast pool of digital tools is considered, such as the different forms of mobile, platforms, sensors, IoT, chatbots, avatars, robots, augmented reality, virtual reality and mixed reality. This leads next to looking at the important considerations for the design and development of digital health solutions for priority areas of action in the Global Action Plan on Dementia, including co-design and research. By using a global perspective, the international examples help to better appreciate culture and practices, as countries differ significantly regarding many key issues pertaining to healthcare delivery. The editors endeavour to cover all areas pertinent to leveraging digital health solutions to facilitate the realization of value-driven healthcare delivery for all healthcare systems.This book is a new and comprehensive text, which would serve as an important resource for practitioners and professionals in healthcare and would be beneficial as a supplementary text for students undertaking studies relating to health informatics and public healthcare.

This book centres on the topic of digital twins for superior healthcare decision support, as access is enabled to large volumes of multi-dimensional data such as patient’s electronic medical records, medical scans, and data. The reader learns about the possibility of a digital representation of analogous clinical cases built from data-driven models to represent and present relevant information and germane knowledge in context.Together with cutting-edge technologies, the authors share the ability of data-driven models to offer more efficient clinical decision support. The authors take a three-prong approach in the study of digital twins, the positive contributions made in other industries, the different types of applications and the numerous benefits offered. Artificial intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL) algorithms, are discussed in the context of digital twins in healthcare applications. By looking at digital twins it is possible to reduce workflow challenges and provide fast and precise diagnosis. This then demonstrates how digital twins therefore support superior clinical decision-making. Importantly, the authors identify critical success issues, including co-design and research, for the design, development, and deployment of suitable digital twins.This book is written for the healthcare audience, professionals, physicians, medical administrators, managers, and IT practitioners. It also serves as a useful reference for senior-level undergraduate students and graduate students in health informatics and public health.

This book centres on the topic of digital twins for superior healthcare decision support, as access is enabled to large volumes of multi-dimensional data such as patient’s electronic medical records, medical scans, and data. The reader learns about the possibility of a digital representation of analogous clinical cases built from data-driven models to represent and present relevant information and germane knowledge in context.Together with cutting-edge technologies, the authors share the ability of data-driven models to offer more efficient clinical decision support. The authors take a three-prong approach in the study of digital twins, the positive contributions made in other industries, the different types of applications and the numerous benefits offered. Artificial intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL) algorithms, are discussed in the context of digital twins in healthcare applications. By looking at digital twins it is possible to reduce workflow challenges and provide fast and precise diagnosis. This then demonstrates how digital twins therefore support superior clinical decision-making. Importantly, the authors identify critical success issues, including co-design and research, for the design, development, and deployment of suitable digital twins.This book is written for the healthcare audience, professionals, physicians, medical administrators, managers, and IT practitioners. It also serves as a useful reference for senior-level undergraduate students and graduate students in health informatics and public health.

It is a tragic paradox of American health care: a system renowned for world-class doctors, the latest medical technologies, and miraculous treatments has shocking inadequacies when it comes to the health of the urban poor. Urban Health Knowledge Management outlines bold, workable strategies for addressing this disparity and eliminating the “knowledge islands” that so often disrupt effective service delivery. The book offers a wide-reaching global framework for organizational competence leading to improved care quality and outcomes for traditionally underserved clients in diverse, challenging settings. Its contributors understand the issues fluently, imparting both macro and micro concepts of KM with clear rationales and real-world examples as they: •Analyze key aspects of KM and explains their applicability to urban health.•Introduce the KM tools and technologies most relevant to health care delivery.•Offer evidence of the role of KM in improving clinical efficacy and executive decision-making.•Provide extended case examples of KM-based programs used in Washington, D.C. (child health), South Africa (HIV/AIDS), and Australia (health inequities).•Apply KM principles to urban health needs in developing countries.•Discuss new approaches to managing, evaluating, and improving delivery systems in the book’s “Measures and Metrics” section. Urban health professionals, as well as health care executives and administrators, will find Urban Health Knowledge Management a significant resource for bringing service delivery up to speed at a time of great advancement and change.

Pervasive healthcare is an emerging research discipline, focusing on the development and application of pervasive and ubiquitous computing technology for healthcare and wellness. Pervasive healthcare seeks to respond to a variety of pressures on healthcare systems, including the increased incidence of life-style related and chronic diseases, emerging consumerism in healthcare, need for empowering patients and relatives for self-care and management of their health, and need to provide seamless access for healthcare services, independent of time and place. Pervasive healthcare may be defined from two perspectives. First, it is the development and application of pervasive computing (or ubiquitous computing, ambient intelligence) technologies for healthcare, health and wellness management. Second, it seeks to make healthcare available to anyone, anytime, and anywhere by removing locational, time and other restraints while increasing both the coverage and quality of healthcare. This book proposes to define the emerging area of pervasive health and introduce key management principles, most especially knowledge management, its tools, techniques and technologies. In addition, the book takes a socio-technical, patient-centric approach which serves to emphasize the importance of a key triumvirate in healthcare management namely, the focus on people, process and technology. Last but not least the book discusses in detail a specific example of pervasive health, namely the potential use of a wireless technology solution in the monitoring of diabetic patients.

It is a tragic paradox of American health care: a system renowned for world-class doctors, the latest medical technologies, and miraculous treatments has shocking inadequacies when it comes to the health of the urban poor. Urban Health Knowledge Management outlines bold, workable strategies for addressing this disparity and eliminating the “knowledge islands” that so often disrupt effective service delivery. The book offers a wide-reaching global framework for organizational competence leading to improved care quality and outcomes for traditionally underserved clients in diverse, challenging settings. Its contributors understand the issues fluently, imparting both macro and micro concepts of KM with clear rationales and real-world examples as they: •Analyze key aspects of KM and explains their applicability to urban health.•Introduce the KM tools and technologies most relevant to health care delivery.•Offer evidence of the role of KM in improving clinical efficacy and executive decision-making.•Provide extended case examples of KM-based programs used in Washington, D.C. (child health), South Africa (HIV/AIDS), and Australia (health inequities).•Apply KM principles to urban health needs in developing countries.•Discuss new approaches to managing, evaluating, and improving delivery systems in the book’s “Measures and Metrics” section. Urban health professionals, as well as health care executives and administrators, will find Urban Health Knowledge Management a significant resource for bringing service delivery up to speed at a time of great advancement and change.

There is little doubt that information technology is a major force in transforming healthcare systems: physicians need to have considerable patient data at hand, even if diagnosis and treatment are relatively straightforward. But data are only as useful as ICT—information communication technology—systems make them. Inefficient handling of data can quickly lead to chaos, and possibly to fatalities. Strategic ICT Planning in Pathology illuminates these problems, as well as their potential solutions, based on a unique body of research from Australia. Focusing on core strategic factors such as laboratory information systems capability and effectiveness, business-IT alignment, strategic spending, research and education, and end-user involvement, the book explains why pathology labs lag behind other hospital departments. Survey and focus group findings pinpoint the importance of Strategic Information System Planning (SISP), and its relationship to quality service delivery and an improved bottom line [ok?]. Among the topics covered: Approaches to SISP and IS effectiveness measurement. The OpenLabs project and pathology practice. Development of a framework for SISP. Focus groups: the view from the hospital laboratory, the private pathology lab, and the experts. Key findings and their implications for strategy, planning, and business outcomes. Future research directions, including reverse SISP. Strategic ICT Planning in Pathology is a go-to resource for healthcare administrators and researchers in healthcare management, health policy, and health services research interested in troubleshooting systems, conducting surveys on IS, or better understanding how quality ICT works.

Pervasive healthcare is an emerging research discipline, focusing on the development and application of pervasive and ubiquitous computing technology for healthcare and wellness. Pervasive healthcare seeksto respond to a variety of pressures on healthcare systems, including the increased incidence of life-style related and chronic diseases, emerging consumerism in healthcare, need for empowering patients andrelatives for self-care and management of their health, and need to provide seamless access for healthcare services, independent of time and place. Pervasive healthcare may be defined from two perspectives. First, it is the development and application of pervasive computing (or ubiquitous computing, ambient intelligence) technologies for healthcare,health and wellness management. Second, it seeks to make healthcare available to anyone, anytime, and anywhere by removing locational, time and other restraints while increasing both the coverage and qualityof healthcare. This book proposes to define the emerging area of pervasive health and introduce key management principles, most especially knowledge management, its tools, techniques and technologies. In addition, the book takes a socio-technical, patient-centric approach which serves to emphasize the importance of a key triumvirate in healthcare management namely, the focus on people, process and technology. Last but not least the book discusses in detail a specific example of pervasive health, namely the potential use of a wireless technology solution in the monitoring of diabetic patients.

A growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery. Anunexpected source of solutions is being imported from the manufacturing sector: lean thinking.Lean Principles for Healthcare presents a conceptual framework, management principles, and practical tools for professionals tasked with designing and implementing modern, streamlined healthcare systems or overhauling faulty ones. Focusing on core components such as knowledge management, e-health, patient-centeredness, and collaborative care, chapters illustrate lean concepts in action across specialties (as diverse as nursing, urology, and emergency care) and around the globe. Extended case examples show health systems responding to consumer needs and provider realities with equal efficiency and effectiveness, and improved quality and patient outcomes. Further, contributors tackle the gamut of technological, medical, cultural, and business issues, among them: Initiatives of service-oriented architecture towards performance improvementAdapted lean thinking for emergency departmentsLean thinking in dementia care through smart assistive technologySupporting preventive healthcare with persuasive servicesValue stream mapping for lean healthcareA technology mediated solution to reduce healthcare disparitiesGeared toward both how lean ideas can be carried out and how they are being used successfully in the real world, LeanPrinciples for Healthcare  not only brings expert knowledge to healthcare managers and health services researchers but to all who have an interest in superior healthcare delivery.

Pervasive healthcare is an emerging research discipline, focusing on the development and application of pervasive and ubiquitous computing technology for healthcare and wellness. Pervasive healthcare seeksto respond to a variety of pressures on healthcare systems, including the increased incidence of life-style related and chronic diseases, emerging consumerism in healthcare, need for empowering patients andrelatives for self-care and management of their health, and need to provide seamless access for healthcare services, independent of time and place. Pervasive healthcare may be defined from two perspectives. First, it is the development and application of pervasive computing (or ubiquitous computing, ambient intelligence) technologies for healthcare,health and wellness management. Second, it seeks to make healthcare available to anyone, anytime, and anywhere by removing locational, time and other restraints while increasing both the coverage and qualityof healthcare. This book proposes to define the emerging area of pervasive health and introduce key management principles, most especially knowledge management, its tools, techniques and technologies. In addition, the book takes a socio-technical, patient-centric approach which serves to emphasize the importance of a key triumvirate in healthcare management namely, the focus on people, process and technology. Last but not least the book discusses in detail a specific example of pervasive health, namely the potential use of a wireless technology solution in the monitoring of diabetic patients.

Pervasive healthcare is an emerging research discipline, focusing on the development and application of pervasive and ubiquitous computing technology for healthcare and wellness. Pervasive healthcare seeks to respond to a variety of pressures on healthcare systems, including the increased incidence of life-style related and chronic diseases, emerging consumerism in healthcare, need for empowering patients and relatives for self-care and management of their health, and need to provide seamless access for healthcare services, independent of time and place. Pervasive healthcare may be defined from two perspectives. First, it is the development and application of pervasive computing (or ubiquitous computing, ambient intelligence) technologies for healthcare, health and wellness management. Second, it seeks to make healthcare available to anyone, anytime, and anywhere by removing locational, time and other restraints while increasing both the coverage and quality of healthcare. This book proposes to define the emerging area of pervasive health and introduce key management principles, most especially knowledge management, its tools, techniques and technologies. In addition, the book takes a socio-technical, patient-centric approach which serves to emphasize the importance of a key triumvirate in healthcare management namely, the focus on people, process and technology. Last but not least the book discusses in detail a specific example of pervasive health, namely the potential use of a wireless technology solution in the monitoring of diabetic patients.

There is little doubt that information technology is a major force in transforming healthcare systems: physicians need to have considerable patient data at hand, even if diagnosis and treatment are relatively straightforward. But data are only as useful as ICT—information communication technology—systems make them. Inefficient handling of data can quickly lead to chaos, and possibly to fatalities. Strategic ICT Planning in Pathology illuminates these problems, as well as their potential solutions, based on a unique body of research from Australia. Focusing on core strategic factors such as laboratory information systems capability and effectiveness, business-IT alignment, strategic spending, research and education, and end-user involvement, the book explains why pathology labs lag behind other hospital departments. Survey and focus group findings pinpoint the importance of Strategic Information System Planning (SISP), and its relationship to quality service delivery and an improved bottom line [ok?]. Among the topics covered: Approaches to SISP and IS effectiveness measurement. The OpenLabs project and pathology practice. Development of a framework for SISP. Focus groups: the view from the hospital laboratory, the private pathology lab, and the experts. Key findings and their implications for strategy, planning, and business outcomes. Future research directions, including reverse SISP. Strategic ICT Planning in Pathology is a go-to resource for healthcare administrators and researchers in healthcare management, health policy, and health services research interested in troubleshooting systems, conducting surveys on IS, or better understanding how quality ICT works.

A growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery. Anunexpected source of solutions is being imported from the manufacturing sector: lean thinking.Lean Principles for Healthcare presents a conceptual framework, management principles, and practical tools for professionals tasked with designing and implementing modern, streamlined healthcare systems or overhauling faulty ones. Focusing on core components such as knowledge management, e-health, patient-centeredness, and collaborative care, chapters illustrate lean concepts in action across specialties (as diverse as nursing, urology, and emergency care) and around the globe. Extended case examples show health systems responding to consumer needs and provider realities with equal efficiency and effectiveness, and improved quality and patient outcomes. Further, contributors tackle the gamut of technological, medical, cultural, and business issues, among them: Initiatives of service-oriented architecture towards performance improvementAdapted lean thinking for emergency departmentsLean thinking in dementia care through smart assistive technologySupporting preventive healthcare with persuasive servicesValue stream mapping for lean healthcareA technology mediated solution to reduce healthcare disparitiesGeared toward both how lean ideas can be carried out and how they are being used successfully in the real world, LeanPrinciples for Healthcare  not only brings expert knowledge to healthcare managers and health services researchers but to all who have an interest in superior healthcare delivery.