Describing a complex primary health care population to support future decision support initiatives.

ABSTRACT:

Introduction

Developing decision support tools using data from a health care organization, to support care within that organization, is a promising paradigm to improve care delivery and population health. Descriptive epidemiology may be a valuable supplement to stakeholder input towards selection of potential initiatives and to inform methodological decisions throughout tool development. We additionally propose that to properly characterize complex populations in large-scale descriptive studies, both simple statistical and machine learning techniques can be useful.

Objective

To describe sociodemographic, clinical, and health care use characteristics of primary care clients served by the Alliance for Healthier Communities, which provides team-based primary health care through

SUBMITTER: Kueper JK 

PROVIDER: S-EPMC10476014 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature