• DocumentCode
    1441808
  • Title

    The eICU Research Institute - A Collaboration Between Industry, Health-Care Providers, and Academia

  • Author

    Mcshea, Michael ; Holl, Randy ; Badawi, Omar ; Riker, Richard R. ; Silfen, Eric

  • Author_Institution
    Philips VISICU, Baltimore, MD, USA
  • Volume
    29
  • Issue
    2
  • fYear
    2010
  • Firstpage
    18
  • Lastpage
    25
  • Abstract
    As the volume of data that is electronically available promliferates, the health-care industry is identifying better ways to use this data for patient care. Ideally, these data are collected in real time, can support point-of-care clinical decisions, and, by providing instantaneous quality metrics, can create the opportunities to improve clinical practice as the patient is being cared for. The business-world technology supporting these activities is referred to as business intelligence, which offers competitive advantage, increased quality, and operational efficiencies. The health-care industry is plagued by many challenges that have made it a latecomer to business intelligence and data-mining technology, including delayed adoption of electronic medical records, poor integration between information systems, a lack of uniform technical standards, poor interoperability between complex devices, and the mandate to rigorously protect patient privacy. Efforts at developing a health care equivalent of business intelligence (which we will refer to as clinical intelligence) remains in its infancy. Until basic technology infrastructure and mature clinical applications are developed and implemented throughout the health-care system, data aggregation and interpretation cannot effectively progress. The need for this approach in health care is undisputed. As regional and national health information networks emerge, we need to develop cost-effective systems that reduce time and effort spent documenting health-care data while increasing the application of knowledge derived from that data.
  • Keywords
    data mining; health care; medical information systems; patient care; business intelligence; clinical intelligence; clinical practice; collaboration; data aggregation; data mining technology; eICU Research Institute; electronic medical records; health information networks; health-care industry; health-care providers; information system integration; interoperability; patient care; patient privacy; Academies and Institutes; Biomedical Research; Cooperative Behavior; Health Personnel; Industry; Intensive Care Units; Interinstitutional Relations; Technology Transfer; United States; Universities;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2009.935720
  • Filename
    5431929