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[Quality management between science and competition]

H K Selbmann1

  • 1Institut für Medizinische Informationsverarbeitung, Universität Tübingen, Deutschland.

Gynakologisch-Geburtshilfliche Rundschau
|January 1, 1994
PubMed
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Quality assurance requires more than just monitoring; adopting total quality management principles is crucial. Implementing quality indicators and management methods can drive competition and improve standards.

Area of Science:

  • Healthcare Management
  • Quality Improvement Science

Context:

  • Increasing demand for enhanced quality assurance in healthcare.
  • Current quality assurance often limited to intensive monitoring.
  • Slow adoption of Total Quality Management (TQM) principles from ISO 9000-9004 standards.

Purpose:

  • To explore the foundational role of scientific methods in quality assurance.
  • To highlight the potential of information processing in quality management.
  • To advocate for quality-assuring activities as competitive factors.

Summary:

  • Quality assurance is often narrowly defined as increased monitoring, neglecting broader Total Quality Management (TQM) concepts.
  • Scientific contributions, including defining quality indicators and developing management guidelines, are essential.

Related Experiment Videos

  • Information processing, exemplified by perinatal surveys and obstetrical statistics, offers valuable tools.

    • Impact:

    • Facilitating the wider adoption of Total Quality Management (TQM) in practice.
    • Establishing quality-assuring activities as key competitive differentiators.
    • Providing a scientific basis for robust quality management systems.