The Analysis of Big Data Architecture for Healthcare Service, a Case Study of a Public Hospital

Abstract

Purpose: Big data is one of the promising technologies which helps healthcare sector improve patient experience, reduce cost of treatment, predict epidemics, and provide competitive healthcare services. The purpose of this research is to study and analyze big data architecture for a public hospital in Thailand.

Study design/methodology/approach: This research employs qualitative approach. For data collection and analysis, document analysis is applied as a qualitative method to obtain empirical data. The in-depth interviews of IT manager, doctor, and staff are conducted to confirm the big data architecture and to examine issues in a case study public hospital.

Findings: According to the study, big data architecture for the public hospital comprises data acquisition, data integration, data analytics, data visualization, health data center on cloud, and data governance.

Originality/value: The architecture components and analysis can be applied as a guideline for big data processing and analytics to create a solution for implementing big data in healthcare effectively.