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Greek Hospital Data Mining and Analysis.

Maria Chintiroglou1, Haralampos Karanikas1, Sotiris Tasoulis1

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Hospital performance monitoring is vital for healthcare quality and economic efficiency. Key performance indicators (KPIs) reveal system weaknesses, guiding improvements through data analysis and unsupervised learning for better decision-making.

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Area of Science:

  • Healthcare Management
  • Health Economics
  • Data Science in Healthcare

Background:

  • Effective hospital performance monitoring is essential for healthcare quality and economic stability.
  • Key Performance Indicators (KPIs) are critical tools for identifying service quality and efficiency gaps.
  • Evaluating healthcare systems requires robust financial and operational data analysis.

Purpose of the Study:

  • To analyze financial and operational indicators of hospitals in Greece's 3rd and 5th Healthcare Regions.
  • To uncover hidden patterns within hospital performance data using cluster analysis and data visualization.
  • To assess the current methodology for evaluating Greek hospitals and identify areas for improvement.

Main Methods:

  • Collection and analysis of financial and operational data from Greek hospitals.
  • Application of cluster analysis for pattern discovery in performance indicators.
  • Utilizing data visualization techniques to interpret complex datasets.
  • Employing unsupervised learning methods to identify potential groupings of hospitals.

Main Results:

  • Identified significant variations in financial and operational performance across hospitals.
  • Unsupervised learning revealed distinct clusters of hospitals based on their performance profiles.
  • Data visualization highlighted key areas of inefficiency and potential strengths within the healthcare regions.
  • The study underscores the need for a revised assessment methodology for Greek hospitals.

Conclusions:

  • The current hospital assessment methodology in Greece requires re-evaluation to effectively identify systemic weaknesses.
  • Unsupervised learning techniques offer powerful insights for group-based decision-making in healthcare management.
  • Data-driven analysis of KPIs is crucial for enhancing both the quality of care and economic efficiency in hospitals.