Department of Internal Medicine, Muhimbili University of Health and Allied Sciences(MUHAS), Dar es Salaam, Tanzania.
Department of Epidemiology, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Health Informatics J. 2024 Oct-Dec;30(4):14604582241294217. doi: 10.1177/14604582241294217.
Despite the ongoing efforts to digitalize the healthcare sector in developing countries, the full adoption of big data analytics in healthcare settings is yet to be attained Exploring opportunities and challenges encountered is essential for designing and implementing effective interventional strategies. Exploring opportunities and challenges towards integrating big data analytics technologies in the healthcare industry in developing countries. This was a narrative review study design. A literature search on different databases was conducted including PubMed, ScienceDirect, MEDLINE, Scopus, and Google Scholar. Articles with predetermined keywords and written in English were included. Big data analytics finds its application in population health management and clinical decision-support systems even in developing countries. The major challenges towards the integration of big data analytics in the healthcare sector in developing countries include fragmentation of healthcare data and lack of interoperability, data security, privacy and confidentiality concerns, limited resources and inadequate regulatory and policy frameworks for governing big data analytics technologies and limited reliable power and internet infrastructures. Digitalization of healthcare delivery in developing countries faces several significant challenges. However, the integration of big data analytics can potentially open new avenues for enhancing healthcare delivery with cost-effective benefits.
尽管发展中国家一直在努力使医疗保健部门实现数字化,但大数据分析在医疗保健环境中的全面采用尚未实现。探索所遇到的机遇和挑战对于设计和实施有效的干预策略至关重要。探索将大数据分析技术整合到发展中国家医疗保健行业中的机遇和挑战。 这是一项叙述性综述研究设计。在包括 PubMed、ScienceDirect、MEDLINE、Scopus 和 Google Scholar 在内的不同数据库上进行了文献检索。包括具有预定关键字并以英文撰写的文章。大数据分析在发展中国家的人口健康管理和临床决策支持系统中都有应用。将大数据分析整合到发展中国家医疗保健部门中面临的主要挑战包括医疗保健数据的碎片化和缺乏互操作性、数据安全、隐私和保密性问题、资源有限以及缺乏管理大数据分析技术的监管和政策框架以及有限的可靠电力和互联网基础设施。发展中国家的医疗保健服务数字化面临着一些重大挑战。然而,大数据分析的整合有可能为提高医疗保健服务提供具有成本效益的新途径。