Total Quality Management in Healthcare: Quality Principles, Implementation and Digitalization

Two healthcare professionals in a modern office setting reviewing documents and digital content on a tablet during a collaborative meeting, with one person seated and another standing nearby.
Image Credit: Photo by PeterpenPhoto on Pixabay (SourceLicense)

AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. See full disclosure ↓

🌐 The original paper was published in Croatian. This summary was generated from a Croatian-language abstract.

⚠️ This article summarizes published research and is intended for informational purposes only. It does not constitute medical advice or clinical guidance.

Poslovna izvrsnost – Business excellence·2026-04-02·Peer-reviewed·View original paper ↗·Follow this topic (RSS)
Publication Signals show what we were able to verify about where this research was published.STRONGWe verified multiple publication signals for this source, including independently confirmed credentials. Publication Signals reflect the source’s verifiable credentials, not the quality of the research.
  • ✔ Peer-reviewed source
  • ✔ Published in indexed journal
  • ✔ No retraction or integrity flags

Key findings from this study

This research indicates that:

  • TQM principles associate with improvements in safety, efficiency, patient experience, and resource use across healthcare settings.
  • Lean, Six Sigma, and Lean Six Sigma methodologies yield measurable gains including shorter waiting times, fewer errors, and reduced costs.
  • Successful implementation requires leadership commitment, open communication, participatory culture, and staff capability development, while barriers include bureaucratization, fragmentation, limited empowerment, and poorly defined processes.
  • Quality 4.0 and Healthcare 4.0 frameworks expand opportunities for predictive, data-driven, and personalized quality management when aligned with core TQM principles.

Overview

This narrative literature review examines the theoretical foundations and practical applications of Total Quality Management in healthcare settings, with particular attention to implementation requirements, measurable outcomes, and the integration of digital transformation frameworks. The authors synthesize recent evidence on TQM principles, Lean, Six Sigma, and emerging Quality 4.0 and Healthcare 4.0 paradigms. The review identifies organizational prerequisites for successful adoption and common implementation barriers across healthcare systems. The analysis connects traditional quality management approaches with contemporary digital health initiatives to inform system-level improvement strategies.

Methods and approach

The authors conducted a narrative literature review with thematic analysis. They searched Web of Science, Scopus, PubMed, and Google Scholar for recent publications on TQM in healthcare contexts. The review focused on identifying current trends, organizational requirements, reported benefits, and barriers to implementation. Thematic synthesis organized findings around core TQM principles, structured improvement methodologies, and digital quality management frameworks.

Results

The review found that TQM principles correlate with improvements across multiple healthcare quality domains, including safety, efficiency, patient experience, and resource utilization. Lean, Six Sigma, and Lean Six Sigma methodologies produced measurable gains such as reduced waiting times, decreased error rates, and cost reductions across reviewed implementations. Successful TQM adoption required leadership commitment, open communication structures, participatory organizational culture, and adequate staff capability development.

Common implementation barriers included bureaucratization, fragmentation of quality initiatives, limited staff empowerment and training opportunities, and poorly defined processes. Quality 4.0 and Healthcare 4.0 frameworks expand quality management capabilities through predictive analytics, data-driven decision support, and personalized quality interventions. The review established that organizational and technological factors jointly influence quality outcomes and system-level improvement trajectories in healthcare settings.

Implications

Healthcare organizations should operationalize TQM through clear accountability structures, sustained leadership commitment, and participatory quality cultures that engage staff at all levels. The integration of Lean and Six Sigma methodologies provides measurable pathways to process improvement when supported by adequate training and empowerment. Organizations must address structural barriers including bureaucratic resistance, initiative fragmentation, and process ambiguity to enable effective quality management.

Digital transformation initiatives under Quality 4.0 and Healthcare 4.0 frameworks require explicit alignment with core TQM principles rather than technological adoption alone. Successful digital quality management depends on building organizational capabilities, technical infrastructure, and data governance structures that support predictive and personalized approaches. The synthesis suggests that sustained quality improvement requires simultaneous attention to organizational culture, process definition, leadership engagement, and strategic technology integration rather than isolated interventions.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.

Disclosure

  • Research title: Total Quality Management in Healthcare: Quality Principles, Implementation and Digitalization
  • Authors: Anđelina Brzović Rakvin, Martina Matovinović
  • Institutions: University Hospital Centre Zagreb
  • Publication date: 2026-04-02
  • DOI: https://doi.org/10.22598/pi-be/2026.1.39808
  • OpenAlex record: View
  • Image credit: Photo by PeterpenPhoto on Pixabay (SourceLicense)
  • Disclosure: This post was generated by Claude (Anthropic). The original authors did not write or review this post.

Get the weekly research newsletter

Stay current with peer-reviewed research without reading academic papers — one filtered digest, every Friday.

More posts