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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Productivity benchmarks for operative service units.

P Helkiö1, R Aantaa2, P Virolainen3

  • 1Faculty of Medicine, University of Turku, Turku, Finland.

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Summary

A new analysis tool provides key metrics for benchmarking operative processes in a Finnish hospital. This enables better decision-making regarding operating room capacity and costs.

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Area of Science:

  • Healthcare Management
  • Health Informatics
  • Operations Research

Background:

  • Strategic and tactical decision-making for operative processes requires accessible, reliable information.
  • Benchmarking is essential for evaluating and improving hospital operational efficiency.
  • A Finnish university hospital sought to enhance its data analysis capabilities for operative services.

Purpose of the Study:

  • To develop an analysis tool for generating key performance metrics for operative units.
  • To benchmark operative service units and surgical units within a hospital setting.
  • To provide data-driven insights for managing operating room (OR) capacity and costs.

Main Methods:

  • Development of a custom analysis tool utilizing data from a resource management system.
  • Integration of data from an in-house cost-reporting database.
  • Collection and analysis of key metrics for operative and surgical units from 2013-2014.

Main Results:

  • Productivity metrics (total costs per total hours) ranged from 658 to 957 €/h.
  • Resource utilization at the service unit level was between 66% and 74%.
  • Cost variations were observed, with 24/7 operations showing higher costs than standard shifts.

Conclusions:

  • The developed tool offers hospital management an improved overview of operative service units and surgical processes.
  • Operating costs are influenced by on-call duties, unit size, and surgical complexity.
  • The findings support informed mid- to long-term decisions regarding OR capacity management.