This book informs readers of the needs and rationale for the integration of medical and dental care and information with an international perspective as to how and where medical and dental care separated into specific domains. It provide high level guidance on issues involved with care and data integration and how to achieve an integrated model of health care supported by integrated HIT. A patient typically expects that a visit to a dentist can usually be resolved immediately. This expectation places a premium on instant, accurate, thorough, and current information. The state-of-the-art of fully integrated (dental-medical) electronic health record (EHR) is covered and this is contrasted with the current state of dental-medical software. While dentists in the US Veterans Health Administration (VHA), the US Indian Health Service (IHS), or the US military, for example, have access to fully integrated health records, most US clinicians still gather information from separate sources via fax or phone calls. The authors provide an in-depth discussion of the role of informatics and information science in the articulation of medical and dental practices and clinical data with the focus on applied clinical informatics to improve quality of care, practice efficiency, coordination and continuity of care, communication between physicians and dentists and to provide a more comprehensive care for the patients. Lastly, the book examines advances in medical and dental research and how these may affect dentistry in the future. Most new advances in healthcare research are information-intensive.

The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

Ensuring patient safety and providing high-quality health services are the dominant challenges faced by healthcare systems around the world today. The sharing of advanced knowledge and best practice in diagnosis, therapy, process optimization and prevention are essential to achieve this goal; this includes enhanced networking socially and technologically as well as the inclusion of public health and social sciences. This book contains the proceedings of the 13th European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), held in Prague, Czech Republic, in April 2013. The EFMI STC 2013 is Europe’s leading forum for presenting the results of current scientific work in health informatics processes, systems and technologies this year. The title of this 13th conference is Data and Knowledge for Medical Decision Support, and the conference addresses this important field, linking traditional and translational medicine with natural sciences and technology with a view to the design, implementation and deployment of intelligent systems which will meet the expectations of developers and users such as health professionals and patients. Within this context, the authors included here address the important issues of knowledge representation and management, appropriate terminologies and ontologies, the development of reasoning engines, and the modeling and simulation of real systems for decision making. The hot topics of "Big Data" and "Analytics" also receive attention.

This largely revised second edition comprehensively reviews the need and rationale for the integration of medical and dental patient data. The reader will find extensive guidance on issues involved with care and data integration, and how to achieve an integrated model of healthcare. The book discusses how the use of state-of-the-art, fully integrated (dental-medical), electronic health records can improve clinical, financial as well as societal outcomes. In the book you will also find different aspects that play a role in integration including existing clinical software implementations (and their paths for integration), clinical touch points, and how current and future developments will facilitate the integration process in a more efficient way. This second edition of Integration of Medical and Dental Care and Patient Data details the available methods and technologies for successfully integrating patient medical and dental data. It is, therefore, an important and timely update for informaticians and a broad range of both dental and medical professionals and other health professionals (dental assistants, hygienists, nurses) as well as clinical students entering the professional environment.

This book constitutes the refereed proceedings of the 5th International Symposium on Biological and Medical Data Analysis, ISBMDA 2004, held in Barcelona, Spain in November 2004. The 50 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on data analysis for image processing, data visualization, decision support systems, information retrieval, knowledge discovery and data mining, statistical methods and tools, time series analysis, data management and analysis in bioinformatics, integration of biological and medical data, metabolic data and pathways, and microarray data analysis and visualization.

Medical Data Management is a systematic introduction to the basic methodology of professional clinical data management. It emphasizes generic methods of medical documentation applicable to such diverse tasks as the electronic patient record, maintaining a clinical trials database, and building a tumor registry. This book is for all students in medical informatics and health information management, and it is ideal for both the undergraduate and the graduate levels. The book also guides professionals in the design and use of clinical information systems in various health care settings. It is an invaluable resource for all health care professionals involved in designing, assessing, adapting, or using clinical data management systems in hospitals, outpatient clinics, study centers, health plans, etc. The book combines a consistent theoretical foundation of medical documentation methods outlining their practical applicability in real clinical data management systems. Two new chapters detail hospital information systems and clinical trials. There is a focus on the international classification of diseases (ICD-9 and -10) systems, as well as a discussion on the difference between the two codes. All chapters feature exercises, bullet points, and a summary to provide the reader with essential points to remember. New to the Third Edition is a comprehensive section comprised of a combined Thesaurus and Glossary which aims to clarify the unclear and sometimes inconsistent terminology surrounding the topic.

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

This significantly expanded and newest edition of the bestselling HIMSS Dictionary of Health Information Technology Terms, Acronyms, and Organizations has been developed and extensively reviewed by more than 50 industry experts. The fourth edition of this dictionary serves as a quick reference for students, health information technology professionals and healthcare executives to better navigate the ever-growing health IT field. This valuable resource includes more than 3000 definitions, 30 new organizations and 76 new references. Definitions of terms for the information technology and clinical, medical and nursing informatics fields are updated and included. This fourth edition also includes an acronyms list with cross references to current definitions, new word-search capability, and a list of health IT-related associations and organizations, including contact information, mission statements and web addresses. Academic and certification credentials are also included. HIMSS North America, a business unit within HIMSS, positively transforms health and healthcare through the best use of information technology in the United States and Canada. As a cause-based non-profit, HIMSS North America provides thought leadership, community building, professional development, public policy, and events. HIMSS North America represents 64,000 individual members, 640 corporate members, and over 450 non-profit organizations. Thousands of volunteers work with HIMSS to improve the quality, cost-effectiveness, access, and value of healthcare through IT. HIMSS Vision Better health through information technology. HIMSS Mission Globally, lead endeavors optimizing health engagements and care outcomes through information technology.

The Web is a globalinformationspace consistingoflinked documents andlinked data. As the Web continues to grow and new technologies, modes of interaction, and applications are being developed, the task of the Semantic Web is to unlock the power of information available on the Web into a common semantic inf- mation space and to make it available for sharing and processing by automated tools as well as by people. Right now, the publication of large datasets on the Web, the opening of data access interfaces, and the encoding of the semantics of the data extend the current human-centric Web. Now, the Semantic Web c- munity is tackling the challenges of how to create and manage Semantic Web content, how to make Semantic Web applications robust and scalable, and how to organize and integrate information from di?erent sources for novel uses. To foster the exchange of ideas and collaboration, the International Semantic Web Conference brings together researchers and practitioners in relevant disciplines such as arti?cial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft c- puting, and human–computer interaction. This volume contains the main proceedings of ISWC 2008, which we are - cited to o?er to the growing community of researchers and practitioners of the Semantic Web. We got a tremendous response to our call for research papers from a truly international community of researchers and practitioners from 41 countries submitting 261 papers. Each paper receivedan averageof 3.

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. - Examines the unmet needs in chronic diseases as a part of medical data sharing - Discusses ethical, legal and privacy issues as part of data protection - Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases