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Clinical Terminologies for Data Analysis and Structured Data Entry

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Cancer Informatics

Part of the book series: Health Informatics ((HI))

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Abstract

Electronic medical record (EMR) systems, once considered esoteric technologies confined to research settings, are now entering the mainstream of healthcare computing. In 2000, 64% of providers who responded to the HIMSS Leadership Survey were at some stage of EMR implementation, whether developing a plan (23%), beginning installation (29%), or implementing a fully operational EMR (12%) (HIMSS Leadership Survey, 2000). Increasingly, provider organizations believe EMRs can help address operational challenges, such as increasing clinical staff productivity, billing accurately, monitoring and reporting on care quality, and offering patients access to their medical data. Some organizations are also looking to EMRs to improve the efficiency of retrospective clinical research.

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Authors
  1. Walter Sujansky
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Editor information

Editors and Affiliations

  1. Center for Bioinformatics National Cancer Institute, Eldersburg, MD, 21784, USA

    John S. Silva MD

  2. Clinical Solutions Healthlink, Inc., Johns Hopkins University School of Nursing, Baltimore, MD, 21210, USA

    Marion J. Ball EdD (Vice President, Adjunct Professor) (Vice President, Adjunct Professor)

  3. Section of Medical Information Resources, Mayo Clinic, Rochester, MN, 55905, USA

    Christopher G. Chute MD, DrPH (Professor of Medical Informatics, Head) (Professor of Medical Informatics, Head)

  4. Johns Hopkins University School of Nursing, Reisterstown, MD, 21136, USA

    Judith V. Douglas MA, MHS (Adjunct Faculty, Formerly Associate) (Adjunct Faculty, Formerly Associate)

  5. Faculty of Medicine, First Consulting Group, Baltimore, MD, 21210, USA

    Judith V. Douglas MA, MHS (Adjunct Faculty, Formerly Associate) (Adjunct Faculty, Formerly Associate)

  6. University of Pennsylvania, Moorestown, NJ, 08057, USA

    Curtis P. Langlotz MD, PhD (Assistant Professor of Radiology, Epidemiology, and Computer and Information Science) (Assistant Professor of Radiology, Epidemiology, and Computer and Information Science)

  7. Division of Information Sciences, Department of Biostatistics City of Hope National Medical Center, Duarte, CA, 91010, USA

    Joyce C. Niland PhD (Chair, Director) (Chair, Director)

  8. Principal Research Scientist School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    William L. Scherlis PhD

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© 2002 Springer Science+Business Media New York

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Sujansky, W. (2002). Clinical Terminologies for Data Analysis and Structured Data Entry. In: Silva, J.S., et al. Cancer Informatics. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0063-2_12

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  • DOI: https://doi.org/10.1007/978-1-4613-0063-2_12

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6547-4

  • Online ISBN: 978-1-4613-0063-2

  • eBook Packages: Springer Book Archive

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