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Data Analytics to Support Policy Making for Noncommunicable Diseases: Scoping Review
Giorgos Dritsakis1, Ioannis Gallos1, Maria-Elisavet Psomiadi2
1Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece.
Data analytics tools for noncommunicable diseases (NCDs) policy making exist but see limited use. This review highlights their potential and suggests improvements for public health policy development.
Area of Science:
- Public Health
- Health Informatics
- Health Policy
Background:
- Growing need for evidence-based strategies in public health policy.
- Leveraging big data and artificial intelligence (AI) for policy optimization.
- Focus on noncommunicable diseases (NCDs) policy development.
Purpose of the Study:
- To review data analytics tools for NCD policy making.
- To assess the implementation of these tools.
- To identify gaps and opportunities for improving policy support.
Main Methods:
- Scoping review of PubMed and IEEE databases.
- Search limited to the last 10 years.
- Analysis of 9 articles detailing 7 data analytics tools.
Main Results:
- Tools included descriptive and predictive analytics; prescriptive analytics pilots were absent.
- Cancer was the least studied condition among piloted tools.
- Limited real-world implementation and use by policy makers observed.
Conclusions:
- Data analytics for NCD policy making is underutilized despite available tools.
- Significant potential exists for data analytics to inform public health policy.
- Recommendations provided for developing future digital policy support tools.
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