Review ArticlesData Liquidity in Health Information SystemsCourtney, Paul K. MSAuthor Information From the Clinical Research Directorate/CMRP, SAIC-Frederick, Inc, NCI-Frederick, Frederick, MD. Conflicts of Interest and Sources of Funding: This project has been funded in whole or in part with federal funds from the National Cancer Institute, National Institutes of Health, under contract no. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. Reprints: Paul K. Courtney, MS, 6116 Executive Blvd, MSC 8317, National Cancer Institute, Rockville, MD 20852. E-mail: [email protected]. The Cancer Journal: July 2011 - Volume 17 - Issue 4 - p 219-221 doi: 10.1097/PPO.0b013e3182270c83 Buy Metrics 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. © 2011 Lippincott Williams & Wilkins, Inc.