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Related Experiment Video

Updated: Mar 19, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Enhancing Patient Safety Using Clinical Nursing Data: A Pilot Study.

Jeeyae Choi1, Jeungok E Choi2

  • 1Collge of Nursing, University of Wisconsin Milwaukee, Milwaukee, WI, USA.

Studies in Health Technology and Informatics
|June 23, 2016
PubMed
Summary
This summary is machine-generated.

A new system, the Nursing Practice and Research Information Management System (NPRIMS), uses clinical nursing data to improve patient fall prevention care. This system can identify areas in nursing processes needing enhancement for better patient safety outcomes.

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Area of Science:

  • Nursing Informatics
  • Patient Safety Research
  • Health Information Systems

Background:

  • Hospital information systems often use administrative data, not clinical nursing data, for fall prevention.
  • Existing systems limit the ability to accurately measure the impact of nursing care on patient fall rates.

Purpose of the Study:

  • To develop a web-based system (NPRIMS) to process clinical nursing data for fall prevention.
  • To measure the delivery and impact of nursing care on patient fall outcomes.

Main Methods:

  • Developed computer algorithms based on a falls prevention protocol.
  • Programmed a prototype of the Nursing Practice and Research Information Management System (NPRIMS).
  • Utilized clinical nursing data to measure care performance and patient outcomes.

Main Results:

  • Successfully measured nursing care performance and its impact on patient outcomes using clinical data.
  • Demonstrated the system's capability to identify specific nursing process components for improvement.
  • NPRIMS effectively uses clinical nursing data for fall prevention analysis.

Conclusions:

  • NPRIMS shows potential for enhancing patient safety by identifying areas for improvement in fall prevention care.
  • Clinical nursing data is crucial for accurately assessing and improving fall prevention strategies.
  • The developed system can guide targeted interventions to reduce patient falls.