Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality.

ABSTRACT:

Background

Segmentation of heterogeneous patient populations into parsimonious and relatively homogenous groups with similar healthcare needs can facilitate healthcare resource planning and development of effective integrated healthcare interventions for each segment. We aimed to apply a data-driven, healthcare utilization-based clustering analysis to segment a regional health system patient population and validate its discriminative ability on 4-year longitudinal healthcare utilization and mortality data.

Methods

We extracted data from the Singapore Health Services Electronic Health Intelligence System, an electronic medical record database that included healthcare utilization (inpatient admissions, specialist outpatient clinic visits, emergency department visits, and prima

SUBMITTER: Low LL 

PROVIDER: S-EPMC5886524 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature