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Computers in Clinical Practice is specially designed to lead you through the maze of information resources and show you how to apply computer technology to your daily practice and improve patient care. Technology can make it easier to access current clinical information, perform repetitive tasks (such as generating prescriptions and maintaining, patient schedules), or communicate conveniently with colleagues around the world. This comprehensive and essential guide cuts through the jargon and intricate terminology and provides thoughtful advice on how to choose the technology most appropriate for you.
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. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
A union list of serials commencing publication after Dec. 31, 1949.
This book constitutes the refereed proceedings of the 21th International Conference on Information and Software Technologies, ICIST 2015, held in Druskininkai, Lithuania, in October 2015. The 51 papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; software engineering; information technology applications.
Software and Systems Traceability provides a comprehensive description of the practices and theories of software traceability across all phases of the software development lifecycle. The term software traceability is derived from the concept of requirements traceability. Requirements traceability is the ability to track a requirement all the way from its origins to the downstream work products that implement that requirement in a software system. Software traceability is defined as the ability to relate the various types of software artefacts created during the development of software systems. Traceability relations can improve the quality of a product being developed, and reduce the time and cost of development. More specifically, traceability relations can support evolution of software systems, reuse of parts of a system by comparing components of new and existing systems, validation that a system meets its requirements, understanding of the rationale for certain design and implementation decisions, and analysis of the implications of changes in the system.