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Related Experiment Videos

Operationalizing a bedside pen entry notebook clinical database system in consultation-liaison psychiatry

J S Hammer1, J J Strain, A Friedberg

  • 1Mount Sinai School of Medicine, New York, New York 10029, USA.

General Hospital Psychiatry
|May 1, 1995
PubMed
Summary

This study introduces MICRO-CARES software on notebook computers for efficient clinical data entry in consultation-liaison (C-L) psychiatry. The system halves documentation time, improving data accuracy and completeness for C-L psychiatry research.

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Area of Science:

  • Psychiatry
  • Health Services Research
  • Medical Informatics

Background:

  • Current computerized data entry systems in consultation-liaison (C-L) psychiatry are not well-received and do not save consultant time.
  • Inaccurate and incomplete data collection hinders C-L psychiatry advancement and health services research.

Purpose of the Study:

  • To evaluate the effectiveness of a hand-held notebook computer system (MICRO-CARES) for direct, real-time clinical data entry in C-L psychiatry.
  • To assess the impact of this system on data accuracy, completeness, and consultant documentation time.

Main Methods:

  • Utilized a hand-held notebook computer with Windows PEN ENTRY MICROCARES software for bedside data collection.
  • Implemented features for direct data entry, automated coding (ICD-9, Axis III, DRG), patient narrative typing, chart note printing, and literature database access.

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  • Enabled data transfer via radio frequency or Ethernet to a central archive.

    • Main Results:

    • Consultant documentation time was reduced by half compared to traditional handwritten records.
    • The system enhanced data accuracy and completeness.
    • Consultees preferred typewritten notes over handwritten ones.
    • Hardware cost was less than an optical scanner, with added benefits of report generation and archival searches at the nurse's station.

    Conclusions:

    • The NOTEBOOK WINDOWS PEN ENTRY MICRO-CARES software offers a practical and efficient solution for C-L psychiatry data management.
    • This system improves data quality, reduces documentation burden, and supports research in the C-L psychiatry subspecialty.