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 systems thinking to extend continuous quality improvement.

R Benson1, N Harp

  • 1Benson Consulting, Inc., Seattle.

The Quality Letter for Healthcare Leaders
|June 7, 1994
PubMed
Summary
This summary is machine-generated.

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

Clinical Oncologist and NHS Commissioner Perspectives on Reirradiation for Recurrent Cancer.

Clinical oncology (Royal College of Radiologists (Great Britain))·2026
Same author

OSAIRIS: Lessons Learned From the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation.

Clinical oncology (Royal College of Radiologists (Great Britain))·2024
Same author

Simultaneous implementation of unrelated tumour sites on the MR Linac: A review of the commissioning process from a radiographer perspective and lessons learned.

Journal of medical imaging and radiation sciences·2024
Same author

Real-time suicide surveillance supporting policy and practice.

Global mental health (Cambridge, England)·2023
Same author

Real-Time Suicide Surveillance: Comparison of International Surveillance Systems and Recommended Best Practice.

Archives of suicide research : official journal of the International Academy for Suicide Research·2022
Same author

The development and validation of a dashboard prototype for real-time suicide mortality data.

Frontiers in digital health·2022
Same journal

JCAHO announces Ninth Annual Codman Award winners.

The Quality letter for healthcare leaders·2006
Same journal

Making the medical clipboard a thing of the past: commission releases report on Ending the Document Game.

The Quality letter for healthcare leaders·2006
Same journal

Seeking a just culture to design a safer hospital environment.

The Quality letter for healthcare leaders·2006
Same journal

Aligning incentives to promote quality care: lessons from pay-for-performance initiatives.

The Quality letter for healthcare leaders·2006
Same journal

Addressing the barriers to greater implementation of electronic health records.

The Quality letter for healthcare leaders·2006
Same journal

In search of a high-performing health system.

The Quality letter for healthcare leaders·2006
See all related articles

Systems thinking and computer modeling improved emergency department (ED) patient flow, reducing wait times by 19%. This approach addressed complex interrelationships, outperforming traditional quality improvement tools for intricate healthcare systems.

Area of Science:

  • Healthcare Management
  • Systems Engineering
  • Process Improvement

Background:

  • Traditional Continuous Quality Improvement (CQI) tools are effective for discrete processes but inadequate for complex, interconnected healthcare systems.
  • CQI tools failed to reduce emergency department (ED) waiting times, indicating a need for alternative methodologies.

Purpose of the Study:

  • To investigate the application of systems thinking and computer modeling to address complex ED operational challenges.
  • To identify and mitigate root causes of prolonged ED waiting times stemming from inter-process relationships.

Main Methods:

  • Utilized systems thinking to analyze interdependencies between ED processes (e.g., patient arrivals, laboratory testing).
  • Employed computer modeling and simulations to evaluate potential solutions and reject ineffective interventions like adding ED beds.

Related Experiment Videos

  • Reorganized patient flow and automated hospital-wide bed control systems.

    • Main Results:

    • Achieved a 19% reduction in ED waiting times.
    • Increased patient satisfaction despite a rise in hospital census.
    • Demonstrated the ineffectiveness of simple solutions (e.g., increased bed capacity) through simulation.

    Conclusions:

    • Systems thinking and computer modeling are powerful tools for optimizing complex healthcare systems, particularly emergency departments.
    • Addressing inter-process relationships and implementing systemic changes can significantly improve patient flow and satisfaction.
    • Data-driven simulation is crucial for validating interventions in complex systems before implementation.