Onyejekwe Egondu R, Sherifi Dasantila, Ching Hung
Perspect Health Inf Manag. 2024 Mar 1;21(1):1f. eCollection 2024 Winter-Spring.
Big data (BD) is of high interest for research and practice purposes because it has the potential to provide insights into the population served and healthcare practices. Much progress has been made in collecting BD and creating tools for big data analytics (BDA). However, healthcare organizations continue to experience challenges associated with BD characteristics and BDA tools. Utilization of BD impacts current decision-making, planning, and future use of artificial intelligence (AI) tools, which are trained on BD. This qualitative study focused on better understanding the reality of BD and BDA management and usage by healthcare organizations. Six structured interviews were conducted with individuals who work with healthcare BD and BDA. Findings confirmed the known challenges associated with BD/BDA and added rich insights into the structural, operational and utilization aspects, as well as future directions. Such perspectives are valuable for education and improvements in BD/BDA management and development.
大数据(BD)因其有潜力洞察所服务人群及医疗保健实践,而备受研究和实践领域关注。在收集大数据及创建大数据分析(BDA)工具方面已取得很大进展。然而,医疗保健机构在应对与大数据特征及大数据分析工具相关的挑战时仍面临困难。大数据的利用会影响当前的决策、规划以及人工智能(AI)工具的未来使用,而人工智能工具是基于大数据进行训练的。这项定性研究旨在更好地了解医疗保健机构对大数据及大数据分析管理与使用的实际情况。对从事医疗保健大数据及大数据分析工作的人员进行了六次结构化访谈。研究结果证实了与大数据/大数据分析相关的已知挑战,并在结构、运营和利用方面以及未来方向上提供了丰富的见解。这些观点对于大数据/大数据分析管理和发展的教育及改进具有重要价值。