Khalifa Mohamed
Centre for Health Informatics, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
Stud Health Technol Inform. 2019 Jul 4;262:55-58. doi: 10.3233/SHTI190015.
The last four decades witnessed a huge progress in digitizing health information, representing an unmatched opportunity for utilizing health analytics in improving the quality of healthcare and reducing its costs. To learn more about different challenges facing the successful utilization of health analytics, a careful review of literature was conducted, and a qualitative analysis was used to explore and classify these challenges. Three main categories of challenges were identified. 1) Technological challenges; hardware, software, and data content, 2) Human challenges; knowledge, experiences, beliefs and attitudes, and end user behaviors, and 3) Organizational challenges; managerial, financial, and legal barriers to optimal utilization of health analytics. The non-technological problems seem to be harder to solve as well as more time consuming, including the existence of a specific business need and a clear vision to guide the project. In addition, health analytics should always be built with the end users in mind.
在过去的四十年里,健康信息数字化取得了巨大进展,这为利用健康分析来提高医疗保健质量和降低成本提供了前所未有的机遇。为了更深入了解成功应用健康分析所面临的不同挑战,我们对文献进行了仔细回顾,并采用定性分析方法来探索和分类这些挑战。确定了三大类挑战。1)技术挑战;硬件、软件和数据内容,2)人为挑战;知识、经验、信念和态度以及最终用户行为,3)组织挑战;健康分析优化利用的管理、财务和法律障碍。非技术问题似乎更难解决且耗时更长,包括存在特定的业务需求和指导项目的清晰愿景。此外,构建健康分析时应始终将最终用户考虑在内。