Hälsoinformatik

Grundbok i eHälsa ger en inblick i områden som studenter inom hälso- och sjukvård behöver för att möta digitaliseringen. Genom att tillämpa en tvärvetenskaplig strategi för att beskriva digitaliseringen inom hälso- och sjukvården synliggörs komplexiteten i olika situationer när eHälsolösningar introduceras och implementeras.

Boken har tre delar. Den första, individperspektivet, fokuserar på etiska aspekter, evidens och patientsäkerhet, liksom vikten av att arbeta personcentrerat när individens vardag digitaliseras. Den andra, organisationsperspektivet, handlar om ledning och styrning. Den tar upp förändringskunskap, förändringsledning och hur införandeprocesser bör bedrivas för att bli framgångsrika. Den sista delen, samhällsperspektivet, behandlar ansvar, nytta och ekonomi på olika nivåer när verksamheter inom hälso- och sjukvården digitaliseras. Varje del tar avstamp i en exempelberättelse och avslutas med frågor för egna funderingar och samtal.

Boken kommer att vara en utmärkt lärobok på såväl läkarprogrammet som för andra vårdstuderande och även för vårdpersonal som är intresserade av förändringsresan som e-hälsa innebär, skiver Anna Rossander och Jingcheng Zhao i Lakartidningen.se 2020-09-18. De uppskattar författarnas förmåga att vidga vyerna och se bortom de problem vi brottas med på daglig basis och sätta digitaliseringen i kontext av patienterna, organisationen och samhället. Recensenterna är också imponerade över hur väl boken balanserar mellan att vara en grundbok och samtidigt inte förenkla för mycket.

Om författarnaMalin Hofflander är leg. sjuksköterska, fil.mag. i omvårdnad och tekn.dr i tillämpad hälsoteknik. Hon har lång erfarenhet som chef inom offentlig sektor och arbetar nu som konsult inom förändringsledning, implementeringsprocesser och värdebaserat ledarskap. Malin är även lektor på Linnéuniversitetet i Kalmar och forskar inom implementeringsprocesser. Lina Nilsson är medförfattare till tre kapitel. Hon är fil.mag. i sociologi och i kvalitetsteknik samt tekn.dr i tillämpad hälsoteknik. Lina är lektor på Linnéuniversitetet i Kalmar och forskar inom implementeringsprocesser.

Mikael Sandström blev läkare för att jobba med livet. Men det blev också att jobba nära döden. Självklart går dessa storheter hand i hand. Läkaryrket är omväxlande och samtidigt oerhört givande. Känslan av att göra skillnad, att känna sig behövd och att ha kraften och möjligheten att få hjälpa människor när livet inte riktigt blev som man hade tänkt sig.

Efter alla år som expert i TV4 Nyhetsmorgon berättar nu Mikael om livet på akut- och intensivvårdsavdelningar, personliga erfarenheter och möten med patienter som har berört honom utöver det vanliga. Det har handlat om att skapa förtroende mellan läkaren och patienten som gör att patienten klarar av att ta emot ett svårt och oväntat besked.

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

Nuclear Architecture and Dynamics provides a definitive resource for (bio)physicists and molecular and cellular biologists whose research involves an understanding of the organization of the genome and the mechanisms of its proper reading, maintenance, and replication by the cell. This book brings together the biochemical and physical characteristics of genome organization, providing a relevant framework in which to interpret the control of gene expression and cell differentiation. It includes work from a group of international experts, including biologists, physicists, mathematicians, and bioinformaticians who have come together for a comprehensive presentation of the current developments in the nuclear dynamics and architecture field.

The book provides the uninitiated with an entry point to a highly dynamic, but complex issue, and the expert with an opportunity to have a fresh look at the viewpoints advocated by researchers from different disciplines.

Informed and Healthy: Theoretical and Applied Perspectives on the Value of Information to Health Care focuses on two major issues: the value attributed to information by users and its effect on health care; and, a new model of information behavior in which the value of information drives various information activities (unlike many information models which tend to give prominence to information needs). The inductive development of the model is explained, with associated implications for theory and transferability or applicability elsewhere.

The book uses a case study of the health information system in Uganda and expands the analysis by comparing it to other systems utilized by different countries in diverse levels of development. Topics such as access and use of information; value attribution and effect on health outcomes; and modelling information behavior and its implications on health informatics are discussed in detail. This book is a valuable resource for health professionals, planners, and policy makers, as well as researchers interested in health information systems and their applicability in different environments.

Global Health Informatics: How Information Technology Can Change Our Lives in a Globalized World discusses the critical role of information and communication technologies in health practice, health systems management and research in increasingly interconnected societies. In a global interconnected world the old standalone institutional information systems have proved to be inadequate for patient-centered care provided by multiple providers, for the early detection and response to emerging and re-emerging diseases, and to guide population-oriented public health interventions. The book reviews pertinent aspects and successful current experiences related to standards for health information systems; digital systems as a support for decision making, diagnosis and therapy; professional and client education and training; health systems operation; and intergovernmental collaboration.

E-health two-side Markets: Implementation and Business Models presents empirical models and suggestions that focus on how to remove barriers to deliver online services across borders and how actual barriers affect business models in a two-sided market with regard to eHealth. Technological innovation and business developments in online trade result in fast-evolving markets with the continuous emergence of new products and services, thus requiring a specific approach.

This book discusses how to develop innovative and cost-effective implementation strategies for complex organizations, the importance of barriers and facilitators for two-sided markets when implementing e-health services and/or IT based innovations, which pre-requisites have to be achieved in complex organizations that act in two-sided markets when implementing e-services, the ecosystem for implementation of services and innovations in complex organizations, and its effects for business models.

This book is a valuable source for researchers in medical informatics, and is also ideal for stakeholders, consultants, advisors, and product designers involved in eHealth services.

Aging, Health and Technology takes a problem-centered approach to examine how older adults use technology for health. It examines the many ways in which technology is being used by older adults, focusing on challenges, solutions and perspectives of the older user. Using aging-health technology as a lens, the book examines issues of technology adoption, basic human factors, cognitive aging, mental health, aging and usability, privacy, trust and automation. Each chapter takes a case study approach to summarize lessons learned from unique examples that can be applied to similar projects, while also providing general information about older adults and technology.

Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.

Designing Healthcare That Works: A Sociotechnical Approach takes up the pragmatic, messy problems of designing and implementing sociotechnical solutions which integrate organizational and technical systems for the benefit of human health. The book helps practitioners apply principles of sociotechnical design in healthcare and consider the adoption of new theories of change. As practitioners need new processes and tools to create a more systematic alignment between technical mechanisms and social structures in healthcare, the book helps readers recognize the requirements of this alignment.

The systematic understanding developed within the book's case studies includes new ways of designing and adopting sociotechnical systems in healthcare. For example, helping practitioners examine the role of exogenous factors, like CMS Systems in the U.S. Or, more globally, helping practitioners consider systems external to the boundaries drawn around a particular healthcare IT system is one key to understand the design challenge.

Written by scholars in the realm of sociotechnical systems research, the book is a valuable source for medical informatics professionals, software designers and any healthcare providers who are interested in making changes in the design of the systems.

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation.

This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work.

Rigor and Reproducibility in Genetics and Genomics: Peer-reviewed, Published, Cited provides a full methodological and statistical overview for researchers, clinicians, students, and post-doctoral fellows conducting genetic and genomic research.

Here, active geneticists, clinicians, and bioinformaticists offer practical solutions for a variety of challenges associated with several modern approaches in genetics and genomics, including genotyping, gene expression analysis, epigenetic analysis, GWAS, EWAS, genomic sequencing, and gene editing. Emphasis is placed on rigor and reproducibility throughout, with each section containing laboratory case-studies and classroom activities covering step-by-step protocols, best practices, and common pitfalls. Specific genetic and genomic technologies discussed include microarray analysis, DNA-seq, RNA-seq, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis. Training exercises, supporting data, and in-depth discussions of rigor, reproducibility, and ethics in research together deliver a solid foundation in research standards for the next generation of genetic and genomic scientists.

Diabetes Digital Health brings together the multifaceted information surrounding the science of digital health from an academic, regulatory, industrial, investment and cybersecurity perspective. Clinicians and researchers who are developing and evaluating mobile apps for diabetes patients will find this essential reading, as will industry people whose companies are developing mobile apps and sensors.

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field.

It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.

This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction toartificial 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.

Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included.

Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general.

Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.

Health Literacy in Medicines Use and Pharmacy: A Definitive Guide highlights issues related to medication literacy from the context of the pharmacist and other healthcare professionals. This definitive guide will undoubtedly serve as an invaluable resource for healthcare professionals in training and practice, fostering excellence in patient care globally. The book provides a clear explanation of medication literacy, presents different tools to assess health and medication literacy, readability, and comprehensibility of written medicine information (WMI), and elaborates on different approaches to develop customized and patient-friendly WMI. The book also covers health and medication literacy in special populations, including geriatrics, pediatrics, and pregnant/lactating patients. Written by experts in health communication, this book will help pharmacists, other health professionals, educators, students, and regulators, who need to develop customized educational materials that can be understood by a broad range of patients, especially those with low health literacy.

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction.

AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients.