Data Analytics to Support Policy Making for Noncommunicable Diseases: Scoping Review.

ABSTRACT:

Background

There is an emerging need for evidence-based approaches harnessing large amounts of health care data and novel technologies (such as artificial intelligence) to optimize public health policy making.

Objective

The aim of this review was to explore the data analytics tools designed specifically for policy making in noncommunicable diseases (NCDs) and their implementation.

Methods

A scoping review was conducted after searching the PubMed and IEEE databases for articles published in the last 10 years.

Results

Nine articles that presented 7 data analytics tools designed to inform policy making for NCDs were reviewed. The tools incorporated descriptive and predictive analytics. Some tools were designed to include recommendations for decision support, but n

SUBMITTER: Dritsakis G 

PROVIDER: S-EPMC11549582 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature