Opportunities and Challenges of Utilising Big Data on SATUSEHAT Platform in Nursing: A Literature Review

Yesica Tria Enggriani, Rr Tutik Sri Haryati
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Abstract

The SATUSEHAT platform which is Indonesia Health Services (IHS) is a form of digital transformation initiated by the Indonesian Ministry of Health. This platform integrates the health data of all Indonesian people including medical records across health facilities which will develop into a national health data center and has the opportunity to become big health data for the Government. To face this, the nursing field must prepare for various opportunities and challenges. Objective: To provide an overview of the opportunities and challenges of utilizing big data through the SATUSEHAT platform in the nursing field. The method used in this research is literature review. The keywords used were Big data in nursing and The Application of big data for the future. Literature searches were conducted using the online database method starting from 2015-2022 through ScienceDirect, ProQuest and Clinical Key.  As a result of the literature review with a case study design, it was found that opportunities for big data utilization include personalized care, nursing research development, data-based policy formulation, while challenges include increasing data processing and management competencies, integrating big data education curriculum, privacy and ethical issues and standardizing nursing terminology Recommendations It is hoped that further research can discuss the preparations that must be made to maximize the potential for big data utilization in the future.
在护理领域利用 SATUSEHAT 平台上的大数据的机遇与挑战:文献综述
SATUSEHAT 平台即印尼卫生服务(IHS),是印尼卫生部发起的一种数字化转型形式。该平台整合了所有印尼人的健康数据,包括各医疗机构的医疗记录,将发展成为国家健康数据中心,并有机会成为政府的健康大数据。为此,护理领域必须做好准备,迎接各种机遇和挑战。目的概述通过 SATUSEHAT 平台在护理领域利用大数据的机遇和挑战。本研究采用的方法是文献综述。使用的关键词是护理领域的大数据和大数据在未来的应用。文献检索采用在线数据库方法,从2015-2022年开始,通过ScienceDirect、ProQuest和Clinical Key进行检索。 通过案例研究设计的文献综述结果发现,大数据利用的机遇包括个性化护理、护理研究发展、基于数据的政策制定,而挑战包括提高数据处理和管理能力、整合大数据教育课程、隐私和伦理问题以及护理术语的标准化 建议 希望进一步的研究能讨论为最大限度地发挥未来大数据利用的潜力所必须做的准备工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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