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

Using OrgAhead, a computational modeling program, to improve patient care unit safety and quality outcomes.

Judith A Effken1, Barbara B Brewer, Anita Patil

  • 1University of Arizona College of Nursing, P.O. Box 210203, Tucson, AZ 85721-0203, USA. jeffken@nursing.arizona.edu

International Journal of Medical Informatics
|July 27, 2005
PubMed
Summary

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

Transferring Patients From a Primary Stroke Center to Higher Levels of Care: A Qualitative Study of Stroke Coordinators' Experiences.

Stroke (Hoboken, N.J.)·2026
Same author

Optimal Head-of-Bed Positioning Before Thrombectomy in Large Vessel Occlusion Stroke: A Randomized Clinical Trial.

JAMA neurology·2025
Same author

Benefits and Risks: A Systematic Review of Information and Communication Technology Use by Autistic People.

Autism in adulthood : challenges and management·2023
Same author

Impact of immobilisation and image guidance protocol on planning target volume margins for supine craniospinal irradiation.

Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology·2022
Same author

Disturbance of Ecological Self and Impairment of Affordance Perception.

Frontiers in psychology·2022
Same author

Impaired Affordance Perception as the Basis of Tool Use Deficiency in Alzheimer's Disease.

Healthcare (Basel, Switzerland)·2022

Computational modeling with OrgAhead identified practical, unit-level innovations to improve patient safety and quality outcomes. Nurse managers can implement these strategies to enhance care delivery and reduce errors.

Area of Science:

  • Healthcare Management
  • Computational Modeling
  • Patient Safety

Background:

  • Investigating factors influencing patient safety and quality outcomes is crucial.
  • Existing research often overlooks unit-level innovations manageable by nurse managers.

Purpose of the Study:

  • To utilize computational modeling to develop testable hypotheses for improving patient safety and quality outcomes.
  • To identify practical, unit-level innovations for nurse managers.

Main Methods:

  • Employed OrgAhead, a computational modeling program, to simulate patient care units.
  • Tuned the model using data from 32 units across 12 Arizona hospitals.
  • Validated the model's correspondence with actual patient units.

Related Experiment Videos

Main Results:

  • Generated practical strategies to improve safety (medication errors, falls) and quality outcomes in virtual patient units.
  • Demonstrated that these strategies could be implemented by actual units.
  • Observed a ceiling effect in the highest-performing unit.

Conclusions:

  • OrgAhead provides decision support for nurse managers to implement effective quality improvement strategies.
  • Unit-level innovations are feasible and can enhance patient safety and quality.
  • Computational modeling offers a valuable approach to generating evidence-based healthcare innovations.