Related Experiment Video
Updated: Aug 11, 2026

14:32
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Quality management organizational structures: history and trends
1National Committee for Quality Assurance, Washington, DC.
Summary
Understanding the history of quality management (QM), utilization management, and risk management helps adapt current healthcare practices. This knowledge is crucial for navigating future healthcare reforms and optimizing hospital organizational structures.
Area of Science:
- Healthcare Administration
- Organizational Management
- Public Health Policy
Background:
- Quality management (QM), utilization management, and risk management developed independently due to external pressures from accreditors, regulators, and payers.
- Understanding the historical origins of these management practices is key to assessing their current relevance and adaptability.
- Historical context offers insights into the demands faced by professionals in each of these distinct, yet related, quality domains.
Observation:
- Practices within QM, utilization management, and risk management are often shaped by external influences.
- The evolution of these management areas provides a framework for understanding their current roles and potential modifications.
- Examining the historical roots of these functions is essential for adapting to the evolving healthcare landscape.
Findings:
- The historical evolution of quality management, utilization management, and risk management significantly impacts hospital organizational structures.
- Understanding the origins of these practices aids in determining their continued validity and necessity in the contemporary healthcare environment.
- Historical analysis reveals common variations in current organizational designs for these management functions across different healthcare settings.
Implications:
- Knowledge of historical development can facilitate the modification of existing QM, utilization management, and risk management practices.
- Insights gained from historical perspectives are valuable for professionals working across these three quality domains.
- Anticipating future healthcare reforms necessitates an understanding of how historical changes have shaped QM organizational structures.
Related Concept Videos
Health Information Technology and Healthcare Information System
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Quality Control
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Introduction to Statistical Process Control
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
The X̄ Chart
The x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
Good Manufacturing Practices
Good Manufacturing Practices (GMP) constitute a foundational set of guidelines that ensure the production of safe, consistent, and high-quality products, particularly in industries such as pharmaceuticals, biotechnology, and food processing. These protocols encompass all aspects of production, from the sourcing of raw materials to the final distribution of the finished product.A core pillar of GMP is stringent hygiene and sanitation across all production environments. This includes routine...
