Related Experiment Videos
Improving on-time performance in health care organizations: a case study
S D Lapierre1, C Batson, S McCaskey
1CRT, Ecole Polytechnique, Montreal, QC, Canada. sophiel@crt.umontreal.ca
Health Care Management Science
|August 1, 2000
Summary
Improving hospital-wide on-time performance, not just surgeon punctuality, enhances first surgery start times. This strategy leverages a snowball effect for better healthcare operational efficiency.
Area of Science:
- Healthcare Management
- Operations Research
- Medical Informatics
Background:
- On-time performance for first surgeries is critical for healthcare efficiency.
- Surgeon delays are often perceived as the primary cause of missed surgical start times.
- Traditional performance improvement strategies may not be effective in complex healthcare systems.
Purpose of the Study:
- To propose a measurement system strategy for improving on-time performance in healthcare organizations.
- To analyze the factors influencing the on-time start of first surgeries.
- To evaluate the effectiveness of targeting specific delays versus system-wide improvements.
Main Methods:
- Analysis of a measurement system for monitoring daily first surgery start times in a U.S. hospital.
- Investigation of surgeon performance and its impact on overall surgical scheduling.
- Comparative analysis of targeted interventions versus holistic system improvements.
Main Results:
- Surgeons are not the sole cause of delays; focusing solely on them is insufficient.
- Improving the hospital's overall on-time performance positively impacts surgeon performance.
- A "snowball effect" was observed, where system-wide improvements led to better first surgery start times.
Conclusions:
- The Pareto principle (focusing on the main cause) may not be optimal for healthcare performance improvement.
- A holistic, system-wide approach to on-time performance is more effective in healthcare settings.
- Enhancing overall hospital operational efficiency can create a self-reinforcing cycle for improved surgical scheduling.