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Related Concept Videos

Quality Control01:05

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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.
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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...
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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Descriptive statistics describe or summarize relevant characteristics of a sample and aid in the analysis of data of interest. When analyzing large quantities of data and developing an inference, one needs to identify a value representative of the entire data set. Characteristics such as central tendency, extreme values, range of measurements, or the most repeated value can help better understand the data.
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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Central versus Local Quality Efforts: The Need for Both.

Aleece Caron1, Peter Pronovost2

  • 1From the Case Western Reserve University, Case Western Reserve University School Of Medicine, Cleveland, OH (AC, PP); The Population Health Research Institute at the MetroHealth System, Cleveland, OH (AC); University Hospitals, Cleveland, OH (PP). aleece.caron@case.edu.

Journal of the American Board of Family Medicine : JABFM
|September 18, 2021
PubMed
Summary

Healthcare systems need better quality improvement (QI) strategies. A hybrid approach combining local and centralized QI efforts may best improve patient care and workforce well-being.

Keywords:
Delivery of Health CareLeadershipQuality ImprovementQuality of Health CareSystems

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Area of Science:

  • Healthcare Management
  • Quality Improvement Science
  • Health Systems Research

Background:

  • Healthcare systems face challenges including high costs, slow improvement rates, and workforce burnout.
  • Large healthcare systems (HCS) significantly impact care quality and value but often lack structures to support workforce well-being.
  • HCS struggle with quality improvement (QI) due to their diverse and dynamic nature, impacting change efforts.

Purpose of the Study:

  • To explore effective strategies for improving quality and value of care within large healthcare systems.
  • To address the challenges HCS face in developing and sustaining quality improvement initiatives.
  • To propose an optimal approach for achieving and sustaining high-quality care across diverse healthcare settings.

Main Methods:

  • Analysis of existing quality improvement (QI) approaches in healthcare systems.
  • Examination of the dynamics between local, site-based QI efforts and centralized, system-wide QI strategies.
  • Proposal of a hybrid model integrating local and centralized QI.

Main Results:

  • Healthcare systems are diverse, presenting both opportunities and challenges for QI efforts.
  • Clinical teams often focus on local QI, while management emphasizes centralized metrics.
  • A hybrid approach combining local and centralized QI is proposed as a potentially superior model.

Conclusions:

  • A hybrid quality improvement (QI) model integrating local and centralized strategies may be most effective for healthcare systems.
  • This approach could address the complexities of diverse HCS and improve care quality.
  • Sustaining quality care requires a balanced approach to QI that leverages both site-specific and system-wide efforts.