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A Data Visualisation Approach in Understanding the Obstetrics Patients Conversion.

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Data visualization of population movement from 2012-2020 reveals insights for Singapore

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Area of Science:

  • Healthcare Management
  • Public Health Data Analysis

Background:

  • Leading maternal and child hospital in Singapore requires monitoring of population movement to maintain competitiveness.
  • Understanding patient demographics and trends is crucial for strategic planning.

Purpose of the Study:

  • To analyze historical population movement data from 2012 to 2020.
  • To provide data-driven insights for hospital management.
  • To identify areas for improvement to increase the hospital's delivery rate.

Main Methods:

  • Utilized data visualization techniques.
  • Processed historical data spanning 2012 to 2020.
  • Analyzed population movement patterns.

Main Results:

  • Generated new data insights for hospital management.
  • Identified potential areas for operational enhancement.
  • Highlighted opportunities to boost the hospital's delivery rate.

Conclusions:

  • Data visualization is effective for understanding population dynamics in healthcare settings.
  • Insights derived can inform strategies to enhance service delivery and competitiveness.
  • Continuous monitoring of population movement supports sustained hospital performance.