Developing a patient flow visualization and prediction model using aggregated data for a healthcare network cluster in Southwest Ethiopia.

ABSTRACT: A health information system has been created to gather, aggregate, analyze, interpret, and utilize data collected from diverse sources. In Ethiopia, the most popular digital tools are the Electronic Community Health Information System and the District Health Information System. However, these systems lack capabilities like real-time interactive visualization and a data-driven engine for evidence-based insights. As a result, it was challenging to observe and continuously monitor the flow of patients. To address the gap, this study used aggregated data to visualize and predict patient flow in a South Western Ethiopia healthcare network cluster. The South-Western Ethiopian healthcare network cluster was where the patient flow datasets were collected. The collected dataset encompasses a span o

SUBMITTER: Kassie BA 

PROVIDER: S-EPMC10631638 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature