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Area of Science:

  • Public Health
  • Healthcare Management
  • Health Informatics

Background:

  • The COVID-19 pandemic necessitated enhanced surveillance of healthcare system capacity.
  • Daily reporting of emergency department and inpatient data was required from all health care clusters.
  • Manual data collation presented significant challenges and inefficiencies.

Purpose of the Study:

  • To establish a standardized reporting and data generation process for healthcare institutions.
  • To improve the efficiency and accuracy of data collection and oversight during public health crises.
  • To leverage technological solutions for better health data management.

Main Methods:

  • The Data Analytics Office (DAO) was tasked with developing a new reporting system.
  • The process focused on enabling standardized report generation.
  • Improvements in data availability were a key consideration.

Main Results:

  • A standardized reporting and generation process was successfully established.
  • The new system aimed to alleviate the burden of tedious manual collation.
  • Enhanced data availability was achieved.

Conclusions:

  • The implementation of a standardized reporting process is crucial for effective health crisis management.
  • Streamlining data collection improves healthcare oversight and response.
  • Technological integration in health data management offers significant benefits.