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Cancer Informatics: Essential Technologies for Clinical Trials describes the National Cancer Institute¿s vision of a Cancer Informatics Infrastructure (CII). By exploiting the best that the Internet and information technology have to offer, the CII will facilitate clinical trials, for all who are involved, including the patient along with the myriad of health professionals involved in cancer trials. To bridge the chasm between discoveries and best clinical practices, the editors describe the CII and how it can function to expedite the clinical trial life cycle, facilitate faster and safer drug development, and make more appropriate treatment choices available to cancer patients. Presented in four comprehensive sections edited by leading experts, the book highlights: ¿ E-commerce ¿ Digital libraries ¿ Standards development ¿ Public health informatics ¿ Common data elements (CDEs) ¿ Clinical trials information systems ¿ Consumer education and support Cancer Informatics: Essential Technologies for Clinical Trials is an indispensable guide to clinical trials. Its contributors speak to oncologists and primary care physicians, as well as researchers, trial managers, administrators, informaticians, and consumers. Today, science is extending our knowledge of genes, proteins, and pathways, and pharmaceutical companies are developing more and more new therapies. In this rapidly changing world, the technologies that cancer informatics provides are essential to efforts to translate cancer research into cancer care, control, and, ultimately, prevention. John S. Silva, M.D., Center for Bioinformatics, National Cancer Institute Marion J. Ball, Ed.D., Vice President, Clinical Solutions, Healthlink, Inc.; Adjunct Professor, The Johns Hopkins University School of Nursing Christopher G. Chute, M.D., Dr.P.H., Professor of Medical Informatics, Head, Section of Medical Information Resources, Mayo Clinic Judith V. Douglas, M.A., M.H.S., formerly Associate, First Consulting Group Curtis P. Langlotz, M.D., Ph.D., Assistant Professor of Radiology, Epidemiology, and Computer and Information Science, University of Pennsylvannia Joyce. C. Niland, Ph.D., Chair, Division of Information Sciences, Director, Department of Biostatistics, City of Hope National Medical Center William L. Scherlis, Ph.D., Principal Research Scientist, School of Computer Science, Carnegie Mellon University
This book focuses on todays attempts to reshape the federal
healthcare system. The major strength of the text lies in its use
of examples that show how process redesign and the integration of
enabling technologies lead to performance improvement and cost
reduction. The contributors draw upon their knowledge and
experience of the federal healthcare industry. Rather than
intending to provide readers with the correct answers the authors
map out the various new approaches.
Performance Improvement through Information Management highlights
performance improvement and business strategies throughout various
health care settings, focusing on business drivers and management
mechanisms, explaining when, how, and why information technology
solutions are of value. Structured on three levels: Market
Environment, Transformational Processes, and Enabling Technologies,
the text describes the current state of the art of health care and
the shape of things to come, and provides practical solutions and
strategies for implementing applications of technology within the
current context of health care and its transformation. This text
will be an invaluable reference to the chief executive officers,
chief information officers, senior executives, and board members
who are shaping health care today and into the 21st century.
Likewise, it will appeal to healthcare administrators and managers,
healthcare systems specialists, and students in advanced healthcare
professional and academic programs.
This book highlights innovative healthcare information technologies as they perform information integration throughout various health care settings. Contributors, representative of these settings, provide case studies citing active examples of technology systems at work, addressing critical success factors, documenting success in terms of improved quality and/or reduced cost. Each example will address the full range of issues associated with technological innovation in health care, from policy and clinical considerations, to business and operational issues.
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