建立数据仓库以改善标准化医疗服务：雅加达市的一项协议开发
Establishing Data Warehouse to Improve Standardize Health Care Delivery: A Protocol Development in Jakarta City
摘要：
雅加达是一个大都市，也是印度尼西亚人口最密集的城市之一。雅加达有12个主要的标准化保健服务指标（标准Pelayanan最低或SPM），这些指标来自卫生部，包括与孕产妇和新生儿健康、学龄人口、工作年龄人口、老年人口、某些特定疾病（高血压、糖尿病、结核病、艾滋病毒）以及精神健康有关的服务。我们计划构建一个数据仓库来提供一个集成的数据中心。在第一阶段（2021年），我们改进系统，将数据直接输入数据仓库的责任赋予行政城市卫生局卫生分局。在这一时期，还首次使用单一条目介绍和适应新的数据汇集方案。该系统使用的基本平台是地区卫生信息系统2，这是一个开放源平台，已在全世界使用，包括印度尼西亚共和国卫生部。这种数据仓库的主要优点是简单方便地从不同的来源收集广泛的数据，并比使用传统的系统更快地呈现它。数据交叉的卫生项目间数据矛盾较少。在这一过渡阶段，由于雅加达的DHIS-2系统和国家卫生部系统都需要输入数据，因此需要进行双重工作，但整合过程正在进行中，希望在2022年可以建立单一的数据录入。
英文摘要：
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 System 2 (DHIS-2), an open-source platform that has been used worldwide, including Ministry of Health Republic of Indonesia. The major advantage of this data warehouse is the simplicity and convenience to collect a wide data from a different source and presenting it faster than using the conventional system. Less data contradiction was also found between health programs with intersecting data. During this transition phase, a double-work is made as data should be input to both the DHIS-2 system by Jakarta and the National Ministry of Health system, but an integration process is ongoing, and hopefully that in 2022 single data entry can be established.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
