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Data Liquidity in Health Information Systems

  1. Author:
    Courtney, P. K.

  2. Author Address

    [Courtney, PK] NCI, Clin Res Directorate, CMRP, SAIC Frederick Inc, Frederick, MD 21701 USA;Courtney, PK (reprint author), NCI, 6116 Execut Blvd,MSC 8317, Rockville, MD 20852 USA;paul.courtney@nih.gov
    1. Year: 2011
    2. Date: Jul-Aug
  2. Journal: Cancer Journal
    1. 17
    2. 4
    3. Pages: 219-221
  4. Type of Article: Review
  5. ISSN: 1528-9117
  1. Abstract:

    In 2001, the Institute of Medicine report Crossing the Quality Chasm and the National Committee on Vital and Health Statistics report Information for Health were released, and they provided the context for the development of information systems used to support health-supporting processes. Both had as their goals, implicit or explicit, to ensure the right data are provided to the right person at the right time, which is one definition of "data liquidity.'' This concept has had some traction in recent years as a shorthand way to express a system property for health information technology, but there is not a well-defined characterization of what properties of a system or of its components give it better or worse data liquidity. This article looks at some recent work that help to identify those properties and perhaps can help to ground the concept with metrics that are assessable.

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External Sources

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  2. DOI: 10.1097/PPO.0b013e3182270c83
  3. View record in Web of Science®
  4. WOS: 000293265100005

Library Notes

  1. Fiscal Year: FY2010-2011
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