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Health and Social Care Systems of the Future: Proceedings of the Healthcare Ergonomics and Patient Safety, HEPS, 3-5 July, 2019 Lisbon, Portugal (Advances in Intelligent Systems and Computing #1012)
by Riccardo Tartaglia Sara Albolino Teresa Patrone Cotrim Florentino Serranheira Paulo Sousa Sue HignettThis book discusses how digital technology and demographic changes are transforming the patient experience, services, provision, and planning of health and social care. It presents innovative ergonomics research and human factors approaches to improving safety, working conditions and quality of life for both patients and healthcare workers. Personalized medicine, mobile and wearable technologies, and the greater availability of health data are discussed, together with challenges and evidence-based practice. Based on the Healthcare Ergonomics and Patient Safety conference, HEPS2019, held on July 3-5, 2019, in Lisbon, Portugal, this book offers a timely resource for graduate students and researchers, as well as for healthcare professionals managing service provision, planners and designers for healthcare buildings and environments, and international healthcare organizations.
Health and Wellness Measurement Approaches for Mobile Healthcare (SpringerBriefs in Applied Sciences and Technology)
by Gita Khalili Moghaddam Christopher R. LoweThis book reviews existing sensor technologies that are now being coupled with computational intelligence for the remote monitoring of physical activity and ex vivo biosignatures. In today’s frenetic world, consumers are becoming ever more demanding: they want to control every aspect of their lives and look for options specifically tailored to their individual needs. In many cases, suppliers are catering to these new demands; as a result, clothing, food, social media, fitness and banking services are all being democratised to the individual. Healthcare provision has finally caught up to this trend and is currently being rebooted to offer personalised solutions, while simultaneously creating a more effective, scalable and cost-effective system for all. The desire for personalisation, home monitoring and treatment, and provision of care in remote locations or in emerging and impoverished nations that lack a fixed infrastructure, is leading to the realisation that mobile technology might be the best candidate for achieving these goals. A combination of several technological, healthcare and financial factors are driving this trend to create a new healthcare model that stresses preventative ‘health-care’ rather than ‘sick-care’, and a shift from volume to value. Mobile healthcare (mhealth), which could also be termed the “internet of people”, refers to the integration of sensors and smartphones to gather and interpret clinical data from patients in real-time. Most importantly, with an ageing population suffering multiple morbidities, mhealth could provide healthcare solutions to enhance chronically ill patients’ quality of life.
Healthcare 4.0: Health Informatics and Precision Data Management (Healthcare Technologies Ser.)
by Balamurugan Balusamy Rajesh Kumar Dhanaraj Munish Sabharwal Lalitha Krishnasamy Poongodi ChinnasamyThe main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes, Informatics involved by applying the data, information and knowledge in the healthcare domain. Features: Improving the quality of health data of a patient A wide range of opportunities and renewed possibilities for healthcare systems Gives a way for carefully and meticulously tracking the provenance of medical records Accelerating the process of disease oriented data and medical data arbitration To bring the meaningful patient health outcomes To eradicate the delayed clinical communications To help the research intellectuals to step down further towards the disease and clinical data storage. Creating more patient-centered services The precise focus of this handbook will be on the potential applications and use of data informatics in area of healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management.
Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
by Vikas Vik KumarAdd a touch of data analytics to your healthcare systems and get insightful outcomesKey FeaturesPerform healthcare analytics with Python and SQLBuild predictive models on real healthcare data with pandas and scikit-learnUse analytics to improve healthcare performanceBook DescriptionIn recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes.This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed.By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples.What you will learnGain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processesUse SQL and Python to analyze dataMeasure healthcare quality and provider performanceIdentify features and attributes to build successful healthcare models Build predictive models using real-world healthcare dataBecome an expert in predictive modeling with structured clinical dataSee what lies ahead for healthcare analyticsWho this book is forHealthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.
Healthcare Analytics and Advanced Computational Intelligence (Artificial Intelligence for Sustainable Engineering and Management)
by Hrudaya Kumar Tripathy Sushruta Mishra Meshal Alharbi Biswajit Sahoo Ahmed AlkhayyatThis book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems.Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine, and their applications. It includes diverse case studies dealing with various clinical-based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods.The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum.
Healthcare Analytics: Emergency Preparedness for COVID-19
by Ross M. Mullner Edward M. RafalskiThe first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak. This book therefore addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis. Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.
Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
by Hui Yang Eva K. LeeFeatures of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician-patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: * Contributions from well-known international experts who shed light on new approaches in this growing area * Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations * Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry * Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments. HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors. EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational
Healthcare Analytics: From Data to Knowledge to Healthcare Improvement (Wiley Series in Operations Research and Management Science)
by Hui Yang Eva K. LeeFeatures of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.
Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Charu C. Aggarwal Chandan K. ReddyAt the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
Healthcare IT Transformation: Bridging Innovation, Integration, Interoperability, and Analytics
by John C. DoddThis book gives examples from healthcare institutions that are using IT automation and innovation to drive change and provides guidance on the strategic direction of HIT over the next five years. Improving the delivery of healthcare through HIT is vital for both the economic success of healthcare organizations and the care of the patient, but most EMR systems do not have an integrated and architected approach. This book provides a detailed approach on how to leverage IT for transformation. It also shows how to build upon the experiences of other industries and helps foster innovation by providing a vision of where technology can be an enabler.
Healthcare Industry Assessment: Analyzing Risks, Security, and Reliability (Engineering Cyber-Physical Systems and Critical Infrastructures #11)
by Pardeep Kumar Deepak Garg Prabhishek Singh Manoj DiwakarThis book caters to a wide range of readers, including professionals in the healthcare and IT sectors, as well as security practitioners. This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability. This book is beneficial for anyone seeking to enhance their understanding of the risks, security, and reliability challenges encountered by the healthcare industry. The provided information offers a comprehensive overview of the issues at hand and provides recommendations for mitigating risks and enhancing security and stability.
Healthcare Informatics Innovation Post COVID-19 Pandemic
by Narasimha Rao Vajjhala Philip EappenThis book is essential reading for those in healthcare informatics, as well as healthcare administrators, clinicians, and regulators, as they navigate the evolving landscape of healthcare post-pandemic. —Dr. Steven D. Berkshire, professor and director of the Doctor of Health Administration Program, Central Michigan UniversityThe coronavirus disease 2019 (COVID-19) pandemic brought unprecedented challenges to global healthcare systems, revealing vulnerabilities and pushing the boundaries of healthcare informatics. In response, the rapid adoption of digital tools and innovative technologies reshaped the way healthcare is delivered, managed, and analyzed. This transformation has not only revolutionized patient care but also underscored the importance of adopting new strategies to ensure data security, interoperability, and equitable access to healthcare services.Healthcare Informatics Innovation Post-COVID-19 Pandemic explores the lasting impact of these innovations on the healthcare sector. The book examines the key lessons learned from the pandemic, as well as the challenges and opportunities that have emerged in its wake. It covers a broad range of topics, including telehealth, artificial intelligence (AI), the Internet of Things (IoT), and cybersecurity, and examines the critical role each plays in transforming healthcare delivery.Highlights include: Bridging the digital divide with telehealth AI in post-pandemic healthcare Navigating post-pandemic mental health challenges with AI Genomics and personalized medicine Ethics, privacy, and security in healthcare informatics The book’s chapters were written by contributors from diverse academic and professional backgrounds.Together, they share their expertise in healthcare, information technology, and policy. Through their insights, the book provides a comprehensive overview of the current state of healthcare informatics and offers a roadmap for future advancements. This book was written to address the growing recognition that healthcare systems worldwide must be resilient, adaptable, and equipped with cutting-edge tools to navigate future public health crises. As healthcare professionals, academics, policymakers, and technologists work together, it is crucial to share knowledge and collaborate on innovative solutions that can sustain the progress made during the pandemic.
Healthcare Informatics for Fighting COVID-19 and Future Epidemics (EAI/Springer Innovations in Communication and Computing)
by Chinmay Chakraborty Lalit Garg Saïd Mahmoudi Victor S. SohmenThis book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.
Healthcare Informatics: Improving Efficiency and Productivity
by Stephan P. KudybaHealthcare Informatics: Improving Efficiency and Productivity examines the complexities involved in managing resources in our healthcare system and explains how management theory and informatics applications can increase efficiencies in various functional areas of healthcare services. Delving into data and project management and advanced analytics,
Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management
by Stephan P. KudybaHealthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness.A follow-up to Healthcare Informatics: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing the healthcare industry. It presents strategies for achieving national goals for the meaningful use of health information technology and includes sound project management principles and case illustrations for technology roll-out, such as Computer Physician Order Entry (CPOE) for optimal utilization.The book describes how to enhance process efficiency by linking technologies, data, and analytics with strategic initiatives to achieve success. It explains how to leverage data resources with analytics to enhance decision support for care providers through in-depth descriptions of the array of analytic methods that are used to create actionable information, including Business Intelligence, Six Sigma, Data, and Text Mining.
Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management (2nd Edition)
by Stephan P. KudybaHealthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness.
Healthcare Informatics: Strategies for the Digital Era
by Stephan P. Kudyba"This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure…..it provides a comprehensive background with which to understand what is happening in healthcare informatics and why."—C. William Hanson, III, MD, Chief Medical Information Officer and Vice President, University of Pennsylvania Health System. "This book is dedicated to the frontline healthcare workers, who through their courage and honor to their profession, helped maintain a reliable service to the population at large, during a chaotic time. These individuals withstood fear and engaged massive uncertainty and risk to perform their duties of providing care to those in need at a time of crisis. May the world never forget the COVID-19 pandemic and the courage of our healthcare workers".—Stephan P. Kudyba, Author Healthcare Informatics: Evolving Strategies in the Digital Era focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project management, and knowledge management that are essential for successful digital initiatives. It delves into facets of the digital economy and how healthcare is adapting to the geographic, demographic, and physical needs of the population and highlights the emergence and importance of apps and telehealth. It also provides a high-level approach to managing pandemics by applying the various elements of the digital ecosystem. The book covers such technologies as: Computerized physician order entry (CPOE) Clinical Information Systems Alerting systems and medical sensors Electronic healthcare records (EHRs) Mobile healthcare and telehealth. Apps Business Intelligence and Decision Support Analytics Digital outreach to the population Artificial Intelligence The book then closes the loop on the efficiency enhancing process with a focus on utilizing analytics for problem solving for a variety of healthcare processes including the pharmaceutical sector. Finally, the book ends with current and futuristic views on evolving applications of AI throughout the industry.
Healthcare Information Privacy and Security
by Bernard Peter RobichauHealthcare IT is the growth industry right now, and the need for guidance in regard to privacy and security is huge. Why? With new federal incentives and penalties tied to the HITECH Act, HIPAA, and the implementation of Electronic Health Record (EHR) systems, medical practices and healthcare systems are implementing new software at breakneck speed. Yet privacy and security considerations are often an afterthought, putting healthcare organizations at risk of fines and damage to their reputations. Healthcare Information Privacy and Security: Regulatory Compliance and Data Security in the Age of Electronic Health Records outlines the new regulatory regime, and it also provides IT professionals with the processes and protocols, standards, and governance tools they need to maintain a secure and legal environment for data and records. It's a concrete resource that will help you understand the issues affecting the law and regulatory compliance, privacy, and security in the enterprise. As healthcare IT security expert Bernard Peter Robichau II shows, the success of a privacy and security initiative lies not just in proper planning but also in identifying who will own the implementation and maintain technologies and processes. From executive sponsors to system analysts and administrators, a properly designed security program requires that that the right people are assigned to the right tasks and have the tools they need. Robichau explains how to design and implement that program with an eye toward long-term success. Putting processes and systems in place is, of course, only the start. Robichau also shows how to manage your security program and maintain operational support including ongoing maintenance and policy updates. (Because regulations never sleep ) This book will help you devise solutions that include: Identity and access management systems Proper application design Physical and environmental safeguards Systemwide and client-based security configurations Safeguards for patient data Training and auditing procedures Governance and policy administration Healthcare Information Privacy and Security is the definitive guide to help you through the process of maintaining privacy and security in the healthcare industry. It will help you keep health information safe, and it will help keep your organizationwhether local clinic or major hospital systemon the right side of the law. What you'll learn The basics ofHITECH, HIPAA, and other federal laws driving change in healthcare IT How to identify the core issues of privacy and security in a healthcare environment. The steps required to develop and execute a security project plan. The technologies and tools available to aid in the process of deploying a secure EHR system. The core regulatory issues and practical matters of security in a healthcare environment. The frameworks and methodology that will assist in tackling the issues of privacy and security. The technologies impacted by matters of privacy and security along with proposals for managing them effectively. Who this book is for Healthcare professionals who work in information technology, information security, health information management, as well as in the more specialized areas of privacy, compliance, and informatics. The book is also useful for consultants working in the field of information security who require a better understanding of the challenges facing the healthcare industry, EMR Vendors who are tasked with guiding their customers through a secure implementation of their product, and technology professionals seeking to make an entry into the world of Healthcare IT. Table of ContentsChapter 1. Introduction: The Long-Awaited Manual Chapter 2. Waking the Sleeping Giant: A Brief History of Healthcare ITChapter 3. It's Not Just HIPAA: Legislating Privacy and SecurityChapter 4. Assembling the Team: Bringing the Right Human Resources to the TableChapter 5. Sifting Through the Wreckage: The Security Audit C
Healthcare Information Systems
by Kevin BeaverThe move to manage medicine from a financial perspective, i.e. managed care, has added huge layers of bureaucratic and administrative functions to healthcare. The need to have the ability to track patient medical records, mandated by government legislation such as HIPAA, is bringing new technologies and processes into the healthcare arena. A univer
Healthcare Interoperability Standards Compliance Handbook
by Frank Oemig Robert SnelickThis book focuses on the development and use of interoperability standards related to healthcare information technology (HIT) and provides in-depth discussion of the associated essential aspects. The book explains the principles of conformance, examining how to improve the content of healthcare data exchange standards (including HL7 v2. x, V3/CDA, FHIR, CTS2, DICOM, EDIFACT, and ebXML), the rigor of conformance testing, and the interoperability capabilities of healthcare applications for the benefit of healthcare professionals who use HIT, developers of HIT applications, and healthcare consumers who aspire to be recipients of safe and effective health services facilitated through meaningful use of well-designed HIT. Readers will understand the common terms interoperability, conformance, compliance and compatibility, and be prepared to design and implement their own complex interoperable healthcare information system. Chapters address the practical aspects of the subject matter to enable application of previously theoretical concepts. The book provides real-world, concrete examples to explain how to apply the information, and includes many diagrams to illustrate relationships of entities and concepts described in the text. Designed for professionals and practitioners, this book is appropriate for implementers and developers of HIT, technical staff of information technology vendors participating in the development of standards and profiling initiatives, informatics professionals who design conformance testing tools, staff of information technology departments in healthcare institutions, and experts involved in standards development. Healthcare providers and leadership of provider organizations seeking a better understanding of conformance, interoperability, and IT certification processes will benefit from this book, as will students studying healthcare information technology.
Healthcare Quality and HIT - International Standards, China Practices (HIMSS Book Series)
by Jilan Liu Jiaxin Wang Xinyue Du Zhuo Li Mu Tian Xiangjuan KongHow Chinese hospitals have been growing and adopting international standards such as JCI and HIMSS EMRAM to fuel their advancements is not well-known to the western world. In this book, Jilan Liu, as former Principal Consultant of JCI and current Chief Executive Officer for HIMSS Greater China, presents a selection of case examples written by Chinese hospital executives and staff showcasing first-hand experiences and insights into how the leading healthcare organizations grow and continue their success in China. The case examples include Chinese hospitals who have participated in JCI accreditation and/or HIMSS EMRAM. These hospitals represent the new wave of organizations adopting international standards while accommodating the unique conditions of China.
Healthcare Recommender Systems: Techniques and Recent Developments
by Simar Preet Singh Johan Debayle Deepak Kumar JainThe book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System. Considering the interest of researchers and academicians, editors here aim to present this book in a multidimensional perspective that will be covering Healthcare Recommender Systems in depth, considering pattern recognition techniques using amalgamation of emerging technologies. It aims to cover all topics ranging from discussion of recommender system to efficient management to recent research challenges and issues. Editors aim to present the book in a self-sufficient manner and in order to achieve this, the book has been organized into various chapters. The prime focus of the book is to explore the various issues, challenges, and research directions of pattern recognition in Healthcare Recommender Systems. The table of contents is designed in a manner so as to provide the reader with a broad list of its applications. Additionally, the book addresses the transformations in the area of Healthcare Recommender Systems. Thus, the book plans to discuss the recent research trends and advanced topics in the field of healthcare automation system which will be of interest to industry experts, academicians and researchers working in this area. Hence, the editors aim is to cover diversity in the domain while achieving completeness.
Healthcare Service Management: A Data-Driven Systems Approach (Health Information Science)
by Jiming Liu Li TaoHealthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects: Ability to explore underlying complex relationships between observed or latent impact factors and service performance.Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance.Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals.Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance. To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients’ and hospitals’ autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions. In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if" scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems.
Healthcare Simulation
by H. Michael Young Laura T. GanttA focused guide for healthcare simulation operations in education and training With the growing use of simulation within the field of healthcare, Healthcare Simulation: A Guide for Operations Specialists provides a much needed resource for developing the roles and responsibilities of simulation operations specialists. The book illustrates the current state and evolution of the simulation professional workforce and discusses the topics necessary for the development of this pivotal role. The book promotes the value of simulation in healthcare and its associated outcomes while clarifying the operational requirements of successful simulations. Featuring numerous contributions from international experts, consultants, and specialists, Healthcare Simulation: A Guide for Operations Specialists presents advances in healthcare simulation techniques and also features: Coverage of the best practices and available technologies for healthcare simulation operations specialists within healthcare education, training, and assessment Interdisciplinary, practical examples throughout to help readers better understand the presented material An overview of the many facets of day-to-day operations within a healthcare simulation lab Discussions regarding the concurrent need for understanding proper patient care that accompanies the human-to-machine interface in patient simulation Healthcare Simulation: A Guide for Operations Specialists is an excellent reference for healthcare simulation professionals including administrators, medical directors, managers, simulation technologists, faculty members, and educators in academic and healthcare settings. The book is also a useful supplementary textbook for graduate-level courses related to simulation and certificate programs in simulation education and simulation operations.
Healthcare and Artificial Intelligence
by Cédric Villani Bernard Nordlinger Daniela RusThis book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.