Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A nurse duty scheduling support system with graphic user interface

Y S Choi1, S H Kim

  • 1Department of Business Administration, INJE University, Kimhae Korea.

Medinfo. MEDINFO
|January 1, 1995
PubMed
Summary

A new PC-based decision support system simplifies nurse duty scheduling. This automation allows nurses more time for direct patient care.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Molecular physiology, biochemistry, and pharmacology of Alzheimer's amyloid precursor protein (APP).

Annals of the New York Academy of Sciences·1996
Same author

Preventive effect of enalapril on erythrocytosis after renal transplantation.

Transplantation proceedings·1996
Same author

Novel pre-C/C gene mutants of hepatitis B virus in chronic active hepatitis: naturally occurring escape mutants.

The Journal of general virology·1996
Same author

CT and MR findings of Krukenberg tumors: comparison with primary ovarian tumors.

Journal of computer assisted tomography·1996
Same author

Case Report. CT and US features of renal matrix stones with calcified center.

Journal of computer assisted tomography·1996
Same author

Left subclavian artery bypass graft in complicated arterial switch operation.

The Annals of thoracic surgery·1996

Area of Science:

  • Nursing Informatics
  • Healthcare Management

Background:

  • Efficient nurse scheduling is crucial for optimal patient care delivery.
  • Manual scheduling processes can be time-consuming and prone to errors.

Purpose of the Study:

  • To present a PC-based decision support system for automating nurse duty scheduling.
  • To evaluate the system's potential to improve scheduling efficiency and patient care time.

Main Methods:

  • Development of a decision support system using Turbo-C++.
  • Implementation of a PC-based platform for nurse scheduling.

Main Results:

  • The system facilitates prompt and easy scheduling for nurses.
  • Increased time availability for nurses to focus on patient care.

Conclusions:

  • PC-based decision support systems can significantly enhance nurse scheduling efficiency.
  • Automation of administrative tasks like scheduling can improve the quality of patient care.

Related Experiment Videos