Date of Presentation
5-4-2023 12:00 AM
College
School of Osteopathic Medicine
Poster Abstract
The ability to determine if a change in a system is actually an improvement—or worsening in function—is one of the essential desiderata of quality improvement efforts. There are many ways to look at the issue. A special problem occurs when the event being studied is low frequency by nature. By way of example, patient falls in a given hospital or division of a hospital may occur in a way that is low frequency—yet each event is important. Process engineering has developed an approach to low frequency events. Part of this approach may involve specialized charts that look at the “time-between-events”—as known as geometric or “G charts”. Time between events charts (G charts) are a form of statistical process control analysis with a special niche for the analysis of low frequency events that occur over time. G-charts have been used in a variety of healthcare applications. Many current statistical software packages have G chart capability.
Keywords
Quality Improvement, Theoretical Models, Statistical Models, Low Frequency Events, G Charts
Disciplines
Health and Medical Administration | Health Services Research | Medicine and Health Sciences | Numerical Analysis and Computation | Patient Safety | Statistical Methodology | Statistics and Probability
Document Type
Poster
Included in
Health and Medical Administration Commons, Health Services Research Commons, Numerical Analysis and Computation Commons, Patient Safety Commons, Statistical Methodology Commons
Brief Review: Low Frequency Event Charts (G-Charts) in Healthcare
The ability to determine if a change in a system is actually an improvement—or worsening in function—is one of the essential desiderata of quality improvement efforts. There are many ways to look at the issue. A special problem occurs when the event being studied is low frequency by nature. By way of example, patient falls in a given hospital or division of a hospital may occur in a way that is low frequency—yet each event is important. Process engineering has developed an approach to low frequency events. Part of this approach may involve specialized charts that look at the “time-between-events”—as known as geometric or “G charts”. Time between events charts (G charts) are a form of statistical process control analysis with a special niche for the analysis of low frequency events that occur over time. G-charts have been used in a variety of healthcare applications. Many current statistical software packages have G chart capability.