Related Experiment Video
Updated: Jul 26, 2026
06:33
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
Published on: July 29, 2013
11.4K
Identifying critical quality metrics in Mohs Surgery: A national expert consensus process
Joseph A Dodson1, Sarah A Ibrahim2, Howard Rogers3
1Rush Medical College of Rush University Medical Center, Chicago, Illinois.
Journal of the American Academy of Dermatology
|December 11, 2023
Summary
This study identified key metrics for Mohs micrographic surgery (MMS) excellence by engaging surgeons and patients. The findings aim to define high-quality patient care in MMS.
Area of Science:
- Dermatology
- Surgical Oncology
- Healthcare Quality Improvement
Background:
- The healthcare landscape is shifting towards value-based care, emphasizing patient outcomes and service costs.
- Defining and demonstrating the quality of Mohs micrographic surgery (MMS) requires understanding key aspects that ensure excellent patient care.
Purpose of the Study:
- To develop and identify a comprehensive list of metrics for defining excellence in Mohs micrographic surgery (MMS).
- To establish a foundation for data-driven approaches to quality assessment in MMS.
Main Methods:
- A modified Delphi process was employed, involving Mohs surgeons to reach a consensus on a list of metrics.
- Patient surveys were administered to incorporate their perspectives on surgical quality.
Main Results:
- Out of 66 initial metrics, 24 met the final inclusion criteria based on expert consensus.
- The initiative garnered broad support through physician feedback, indicating a shared interest in defining MMS quality.
Conclusions:
- This initial effort highlights the distinct perspectives of Mohs surgeons and patients regarding surgical excellence.
- Engaging both surgeons and patients in a data-driven approach can effectively define and improve the quality of Mohs micrographic surgery (MMS).
Related Concept Videos
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...