Found insideThis multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. Realizing the promise of technology depends on sharing information across time and space. The barrier to progress is not technical; it is the failure of organizational demand to drive purchasing requirements. Found inside – Page 159Examples of Dual Model EHR architecture are CEN/TC251 EN13606 [3] standard ... Semantic Interoperability in Healthcare Information for EHR Databases 159. Found inside – Page 86... on Grahame Grieve's blog: “Really robust semantic interoperability is going ... Later, we will discuss the potential for machine learning in healthcare. Found inside – Page 125... the Development of Semantically Interoperable Healthcare Applications Luciana ... proven in software as a viable solution for semantic interoperability, ... Found insideThis book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. This second, extensively revised and updated edition of Health Informatics: An Overview includes new topics which address contemporary issues and challenges and shift the focus on the health problem space towards a computer perspective. Found inside – Page 233Actually the RM permits the syntactic interoperability (level 1 or human-readable format) between the systems whilst the archetypes provide the semantic ... Found inside – Page 341Also, new versions of the database software were not available The authors tried to achieve the process and semantic interoperability by presenting a ... Found inside – Page 137The integration of technology within healthcare organizations offers ... What examples of functional, structural, and semantic interoperability can you ... Found inside – Page 374Lenz, R., Reichert, M.: IT support for healthcare processes – premises, challenges, ... What are the main contents of semantic interoperability? Found inside – Page 330For nursing care, it could, for example, describe the content of the care summary, its semantics and interpretation to guarantee semantic interoperability. Found inside – Page 97Achieving semantic interoperability requires not only the use of communication ... but also to constrain those models to instances including permitted ... Found inside – Page 5For semantic interoperability we have strong upper level ontologies such as the Basic ... Redesigning work practices in healthcare When we think about how ... Found inside"This book lays the foundations for understanding the concepts and technologies behind the Semantic Web"--Provided by publisher. With contributions from internationally distinguished authors, this book is a valuable cutting edge resource for anyone working in or for the health industry today and especially for: • Policy and decision makers, • Healthcare ... Additionally, this Handbook of Research discusses new approaches to improving standards and protocols, which include the use of intelligent agents and Semantic Web technology. Found inside – Page 203This exchange of ideas is what makes healthcare information systems so valuable. ... What examples of functional, structural, and semantic interoperability ... A scientific examination of human speech and the origins of language looks at the evolutionary development--back to the earliest humans--of the biological functions that make human speech possible. BAKER & TAYLOR Found inside – Page 31Important examples are, just to name a few, the Logical Observation Identifiers Names and ... On the other hand, semantic interoperability is also needed. Found inside – Page 108A canonical model of semantic interoperability assumes that the same high-level device ontologies are used in both examples. Seminar paper from the year 2010 in the subject Health Science, grade: 2,0, Stralsund University of Applied Sciences, language: English, abstract: This paper contains multiple definitions (philosophical, informational and medical) for the ... Found inside – Page 70... and Capacity Building for Semantic Interoperability in Healthcare in the Netherlands Ronald ... Both are examples of large-scale national programs, ... Found inside"The principal authors were Carrie Beth Peterson (Consultant in eHealth and Innovation, WHO Regional Office for Europe), Clayton Hamilton (Editor-in-chief and Unit Leader, eHealth and Innovation in the Division of Information, Evidence, ... Found inside – Page ixExamples.taken.from.those.cases ... National University of Ireland (NUI) Galway, Ireland 10.4018/978-1-4666-3000-0.ch006::5 Semantic.interoperability ... Found inside – Page vTim Benson believes there is an unmet need for a book on Healthcare Integration. Some health informatics textbooks include chapters on HL7 and/or SNOMED, but these are usually quite short and cannot provide even an adequate introduction. Found insideThus, IoT-cloud information sharing in healthcare would require a set of ... Semantic interoperability solidifies the meaning of data such that the meaning ... Found insideThe book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization. Found inside – Page 329Intelligent Healthcare Monitoring based on Semantic Interoperability Platform–The ... Mobile Phones as a Challenge for m-Learning: Examples for Mobile ... Found inside“One of the most challenging problems in the healthcare domain is providing interoperability among healthcare systems” (Bicer, Laleci, Dogac, & Kabak, ... The aims and scope of the second edition are unchanged from the first edition. Found insideThis paper reviews some integration approach used in health information systems, drawing literature experiences form developing countries. This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. Found insideIn this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. Health IT and Patient Safety makes recommendations for developing a framework for patient safety and health IT. This book focuses on finding ways to mitigate the risks of health IT-assisted care and identifies areas of concern so that the ... This is especially so at a time when all health systems face stringent economic challenges and greater demands to provide more and better care, especially to those most in need. Each full-color image supports and is referenced back to a Taber's term. Includes 48 appendices. A CD-ROM version is also available. Found insideMore than 90 submissions were received, from which, after review, the Scientific Program Committee (SPC) accepted 50 full papers to be included in this volume of proceedings. In addition, 16 poster presentations were accepted. Building on the Institute of Medicine reports To Err Is Human and Crossing the Quality Chasm, Patient Safety puts forward a road map for the development and adoption of key health care data standards to support both information exchange and ... Found inside – Page 308This example shows the necessity of making not only two different domains interoperable: Healthcare and Food but it also highlights the need for reusing ... This book presents the proceedings of HIC 2019, the annual Australian national conference for Health Informatics, held in Melbourne, Australia, from 12 – 14 August 2019. Found inside – Page 189GOET expresses the correspondences by way of bridge rules, as shown with a few examples in Figure 5. Because of the semantics of bridge rules, ... Found insideHighlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, ... Found insideeHealth has revolutionized health care and the practice of medicine. Found inside – Page 304A variety of clinical terminology standards exist in healthcare, giving meaning to raw data and allowing for semantic interoperability. Found inside – Page iThis open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Found inside – Page 87Examples are the well-known Meaningful Use initiative in the US that promoted the adoption ... 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