Establishing Data Warehouse to Improve Standardize Health Care Delivery: A Protocol Development in Jakarta City
Verry Adrian, Intan Rachmita Sari, Hardya Gustada Hikmahrachim

TL;DR
This paper describes the development of a data warehouse in Jakarta to standardize health care delivery data collection, improving efficiency and data consistency using the DHIS-2 platform, with initial implementation in 2021.
Contribution
It introduces a new integrated data warehouse system for Jakarta's health data, utilizing DHIS-2, and details the implementation process and benefits for standardizing health care data collection.
Findings
Faster data collection and presentation compared to conventional systems.
Reduced data contradictions between health programs.
Successful initial implementation and adaptation in 2021.
Abstract
Jakarta is a metropolitan city and among the most dense city in Indonesia. Jakarta has 12 major indicators of standardize health care delivery (Standard Pelayanan Minimum or SPM) derivates from Ministry of Health consists of services related to maternal and neonatal health, school-aged population, working-age population, elderly population, some specific conditions (hypertension, diabetes, tuberculosis, HIV), and also mental health. We planned to construct a data warehouse to provide a single integrated data center. In the first phase (2021), we improve the system by giving responsibility to the health Sub Department of Health of Administrative City for direct data input into a data warehouse. This period also let an introduction and adaptation to new data collection schemes by using a single entry for the first time. The basic platform use for this system is District Health Information…
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Taxonomy
TopicsArtificial Intelligence in Healthcare
