Related Experiment Video
Updated: Oct 28, 2025

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Management Systems to Structure Continuous Quality Improvement
1Department of Pathology and Laboratory Medicine, Henry Ford Hospital, Detroit, MI, USA.
Objectives:
This review describes the processes and effectiveness of the primary management systems that structure and sustain consistent behaviors and result in a transformed culture of continuous quality improvement (CQI) from top to bottom throughout the Henry Ford medical laboratory enterprise.
Methods:
Through a 17-year focus to achieve a functional CQI enterprise, quality management systems were developed and continuously improved by teams of laboratory leaders, managers, and quality specialists to coordinate and standardize human efforts, and provide actionable knowledge and data to engage improvement efforts at all levels of work. Lean and ISO 15189 discipline and requirements were addressed in annual management review of functionality and effectiveness to close gaps and further refine the management systems.
Results:
Improvements in the use and effectiveness of 4 management systems are illustrated.
Conclusions:
The 4 primary management systems that provide structure and support transformation to a culture of CQI are the team leader, Plan-Do-Check-Act problem-solving, deviation management, and daily management systems. These management systems are designed to deepen the effectiveness of the continuous improvement culture by helping managers understand variation in the work they oversee and providing guidance for more effective employee engagement in the daily processes of quality improvement.
Related Concept Videos
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Quality Control
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...
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Introduction to Statistical Process Control
Control Systems
At the heart...
Quality Assurance

