Related Experiment Video
Updated: Jul 16, 2026
14:32
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Accounting for the costs of quality
J D Suver1, B R Neumann, K E Boles
1University of Kentucky, Lexington.
Summary
Total Quality Management (TQM) transforms healthcare by focusing on system design over employee error. This approach necessitates new accounting methods and reports to track and improve quality initiatives within healthcare organizations.
Area of Science:
- Healthcare Management
- Organizational Behavior
- Accounting
Background:
- Total Quality Management (TQM) signifies a major shift in healthcare organizational values.
- TQM posits that system and procedure design, not employee actions, cause quality issues.
Purpose of the Study:
- To explore the impact of TQM on the management accounting function in healthcare.
- To identify the need for new accounting methods and reporting under TQM.
Main Methods:
- Analysis of TQM principles and their implications for healthcare management.
- Review of existing literature and a published book on healthcare management accounting.
Main Results:
- TQM implementation requires a change in behavioral focus and organizational climate.
- New accounting methods are needed to recognize and evaluate declining quality.
- Novel management accounting reports are essential for identifying improvement opportunities and monitoring quality efforts.
Conclusions:
- TQM fundamentally alters the management accounting landscape in healthcare.
- Adaptation of accounting practices is crucial for successful TQM adoption in healthcare organizations.
More Related Videos
Related Concept Videos
01:19Testing a Claim about Standard Deviation
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
01:30Health 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:
01:05Quality 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...
01:19Quality 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...
01:15Introduction 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...
01:13Interpreting X̄ Charts
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...