Elsevier

The Lancet

Volume 344, Issue 8937, 10 December 1994, Pages 1609-1614
The Lancet

Medical informatics
Clinical data systems, part 2: components and techniques

https://doi.org/10.1016/S0140-6736(94)90409-XGet rights and content

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References (49)

  • Df Sittig et al.

    Computer-based physician order entry: the state of the art

    J Am Med Informatics Assoc

    (1994)
  • Go Barnett et al.

    The computer-based clinical record: where do we stand?

    Ann Intern Med

    (1993)
  • MF. Collen

    Origins of medical informatics

    West J Med

    (1986)
  • K. Kuhn et al.

    Structured reporting of medical findings: evaluation of a system in gastroenterology

    Meth Inf Med

    (1992)
  • Rb Jones et al.

    A computer in the diabetic clinic: completeness of data in a clinical information system

    Practical Diabetes

    (1986)
  • Jl Barrie et al.

    Quality of data in the Manchester orthopaedic database

    BMJ

    (1992)
  • Cj McDonald et al.

    Reminders to physicians from an introspective computer medical record. A two-year randomized trial

    Ann Intern Med

    (1984)
  • Hl Bleich et al.

    Clinical computing in a teaching hospital

    N Engl J Med

    (1985)
  • Dm Rind et al.

    Real and imagined barriers to an electronic medical record

  • Jv Glowniak et al.

    Computer networks as a medical resonance: assessing and using the Internet

    JAMA

    (1994)
  • BI. Blum

    Clinical information systems

    (1986)
  • N. Lurie et al.

    How do house officers spend their nights?

    N Engl J Med

    (1989)
  • R. Wilton et al.

    Evaluating the accuracy of transcribed clinical data

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      The types of tasks clinicians intend to perform will also be a factor, as data retrieval is affected differently from data entry when using a mobile device. Likewise, data retrieval is less prone to the introduction of potential errors and to reductions in performance; thus mobile devices may be better suited for retrieving and reviewing existing data, while more complex data entry should be made using a desktop computer when possible [32]. The larger the display on a mobile device, the better the performance and usability ratings would be expected to be, but the practicality of larger devices needs to be considered as well.

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