A systematic review of the clinical application of data-driven population segmentation analysis.

ABSTRACT:

Background

Data-driven population segmentation analysis utilizes data analytics to divide a heterogeneous population into parsimonious and relatively homogenous groups with similar healthcare characteristics. It is a promising patient-centric analysis that enables effective integrated healthcare interventions specific for each segment. Although widely applied, there is no systematic review on the clinical application of data-driven population segmentation analysis.

Methods

We carried out a systematic literature search using PubMed, Embase and Web of Science following PRISMA criteria. We included English peer-reviewed articles that applied data-driven population segmentation analysis on empirical health data. We summarized the clinical settings in which segmentation analysis

SUBMITTER: Yan S 

PROVIDER: S-EPMC6215625 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature