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Related Concept Videos

Quality Control01:05

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 Assurance01:19

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...
Health Information Technology and Healthcare Information System01:30

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:
Application of Differentiation to Business01:29

Application of Differentiation to Business

Calculus offers essential techniques for businesses seeking to optimize pricing strategies and revenue. In this case, a bakery wants to determine the ideal price and daily sales volume to maximize revenue. By modeling how changes in price affect demand and revenue, the bakery can apply calculus to make data-driven decisions.The demand function relates the price per cupcake to the number of cupcakes sold and captures how lower prices increase sales. Based on market data, the demand function can...
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Introduction to Statistical Process Control01:15

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...

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Related Experiment Video

Updated: Jun 19, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

The business case for quality.

Richard Boehler1, Daniel Hardesty, Eva Gonzales

  • 1St. Joseph Medical Center, Towson, MD, USA. richardboehler@catholichealth.net

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|October 9, 2009
PubMed
Summary
This summary is machine-generated.

Implementing a diabetes care management program offers a strong business case for quality improvement. Success hinges on a solid business plan and collaboration between clinicians and finance departments to manage resources effectively.

Related Experiment Videos

Last Updated: Jun 19, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Area of Science:

  • Healthcare Management
  • Diabetes Care
  • Quality Improvement

Background:

  • Implementing diabetes care management programs presents unique challenges.
  • Balancing quality of care with financial viability is crucial for healthcare organizations.

Purpose of the Study:

  • To outline key lessons learned from St. Joseph Medical Center's experience in establishing a diabetes care management program.
  • To identify critical factors for successful program implementation and sustainability.

Main Methods:

  • The study reflects on the practical experiences and outcomes of a specific healthcare institution.
  • Lessons were derived from the process of program development and integration within existing hospital systems.

Main Results:

  • A strong business case exists for investing in quality diabetes care management.
  • Clinician buy-in is significantly influenced by a well-structured business plan, supported by evidence from other organizations.
  • Effective resource allocation for simultaneous care improvement and financial benefit necessitates interdisciplinary collaboration.

Conclusions:

  • Successful diabetes care management programs require a strategic approach that integrates clinical quality with financial stewardship.
  • Collaboration between clinical professionals and financial departments is essential for optimizing resource deployment and achieving organizational goals.