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Empowering Insights: Creating a 360° Data Architecture for Citizen-Centric Innovation
Collaborator
The Health Promotion Board (HPB) is a statutory board under the Ministry of Health. It aims to empower Singaporeans to attain optimal health, increase the quality and years of healthy life and prevent illness, disability and premature death. HPB spearheads health education, promotion and prevention programmes, reaching out to the healthy, the at-risk and the unhealthy at all stages of life, including children, youths, adults and older òòò½Íøresidents. Its health promotion initiatives cover nutrition, physical activity, mental well-being, health screening, tobacco control and communicable disease education.
The Health Promotion Board (HPB) is a statutory board under the Ministry of Health. It aims to empower Singaporeans to attain optimal health, increase the quality and years of healthy life and prevent illness, disability and premature death. HPB spearheads health education, promotion and prevention programmes, reaching out to the healthy, the at-risk and the unhealthy at all stages of life, including children, youths, adults and older òòò½Íøresidents. Its health promotion initiatives cover nutrition, physical activity, mental well-being, health screening, tobacco control and communicable disease education.
Challenges
HPB embarked on its Precision Public Health strategy to deliver more personalised and engaging lifestyle programmes, contributing to effective behaviour change among Singaporeans. Central to this strategy is a deep understanding of individuals’ lifestyles and wellness needs, enabled by data. While the adoption of technologies such as wearables and digital apps facilitates data capture on individuals’ lifestyle behaviours, the raw data cannot be used directly to generate insights. It needs to be cleaned and transformed, a process that often becomes a bottleneck given the large volume of high fidelity data, thus limiting the scope and speed of insights generation.
HPB embarked on its Precision Public Health strategy to deliver more personalised and engaging lifestyle programmes, contributing to effective behaviour change among Singaporeans. Central to this strategy is a deep understanding of individuals’ lifestyles and wellness needs, enabled by data. While the adoption of technologies such as wearables and digital apps facilitates data capture on individuals’ lifestyle behaviours, the raw data cannot be used directly to generate insights. It needs to be cleaned and transformed, a process that often becomes a bottleneck given the large volume of high fidelity data, thus limiting the scope and speed of insights generation.
Solution
To enable sharper and faster insights generation, IHPC scientists worked jointly with HPB data engineers to implement a comprehensive, 360-degree citizen-centric data architecture. Leveraging big data technologies, the project team efficiently transformed raw sensor and app data into meaningful business metrics.
The solution consists of:
- Automated data processing pipelines to process raw data into a citizen-centric data mart, encompassing citizens’ lifestyle behavioural profiles, including exercises, diets, and activities.
- Quality validation and control mechanisms to ensure data integrity.
- Anomaly detection algorithms to identify and isolate suspicious activities, enhancing the accuracy of programme data.
Analysis on patterns of people’s activity participation based on the citizen-centric data mart.
Key Results
Over the two years of collaboration with HPB, IHPC's scientists have developed and deployed over 100 data pipelines, processed over 1 billion records weekly, and saved an estimated 28 working days per month. Beyond improving efficiency and ensuring timely reporting, the citizen-centric data architecture enables deeper insights into downstream analytics and machine learning use cases by triangulating cross-domain lifestyle data.
Over the two years of collaboration with HPB, IHPC's scientists have developed and deployed over 100 data pipelines, processed over 1 billion records weekly, and saved an estimated 28 working days per month. Beyond improving efficiency and ensuring timely reporting, the citizen-centric data architecture enables deeper insights into downstream analytics and machine learning use cases by triangulating cross-domain lifestyle data.
“The collaboration with ASTAR has been instrumental in helping us to quickly build up the interoperability across the various datasets collected from various systems. The formation of the citizen-centric architecture then serves as the foundation for multi-factorial analysis,” said Ms Neo Yi Lin, Deputy Director, Data Operations & Architecture, Health Promotion Board.
Significant Progress
With Healthier SG, a national initiative focusing on preventive health, we are deepening our collaboration with HPB to extend the application of data science and AI to health promotion. This would provide more accurate population health insight and enhance the efficiency of health promotion delivery.
With Healthier SG, a national initiative focusing on preventive health, we are deepening our collaboration with HPB to extend the application of data science and AI to health promotion. This would provide more accurate population health insight and enhance the efficiency of health promotion delivery.
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