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Automated mortality coding for improved health policy in the Philippines
U S H Gamage1, Carmina Sarmiento2, Aurora G Talan-Reolalas3
1CDC Foundation, Atlanta, GA, USA. sgamage@cdcfoundation.org.
Population Health Metrics
|September 5, 2024
Summary
The Philippine Statistical Authority successfully implemented Iris, an automated system for coding medical death certificates. This improved the accuracy and timeliness of national mortality statistics, aligning with international standards.
Area of Science:
- Public Health
- Health Informatics
- Vital Statistics
Background:
- The Philippines' civil registration and vital statistics system needed improvement in data quality, timeliness, and consistency.
- Automated coding of medical death certificates is crucial for accurate mortality statistics.
Purpose of the Study:
- To evaluate the quality and consistency of cause of death data coded by the Iris software in the Philippines.
- To assess the successful implementation and operational efficiency of the Iris system.
Main Methods:
- Analysis of medical death certificates coded with Iris between 2017-2019.
- Evaluation of data for errors, inconsistencies, and plausibility of trends.
- Calculation and comparison of cause-specific mortality distributions and changes over time.
Main Results:
- The Philippine Statistical Authority successfully operates the Iris system.
- Cause-specific mortality fractions for leading causes remained stable post-implementation.
- The proportion and types of uncodable records ('rejects') were consistent with international experience.
Conclusions:
- Automated coding systems like Iris can significantly enhance the accuracy and timeliness of cause of death data.
- The Philippine experience provides valuable insights for other countries implementing similar systems.
- Strengthening vital statistics systems through technology is essential for public health surveillance.
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