大数据分析对尼日利亚拉各斯州选定医疗服务公司运营价值的影响

Egbuta O. U., A. B. H., Ibidun A.
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摘要

目的:几项研究发现,数据和工具可以帮助管理者做出更好的决策。适当的基础设施可能会防止一半的卫生保健死亡。尼日利亚的医疗从业人员依靠自己的直觉而不是数字技术(如分析)来了解患者的健康记录、个人资料、实验室结果、用药史等,因此犯了许多错误,导致许多患者过早死亡。尼日利亚的医疗保健也面临挑战。尽管尼日利亚在非洲具有重要的战略意义,但该国的卫生保健仍然资金不足。偏远地区的卫生设施、工作人员和设备不足。本研究调查了大数据分析对尼日利亚拉各斯州医疗保健服务公司运营价值的影响。方法:本研究采用调查研究设计。该研究的人口包括拉各斯州认可的医疗保健服务公司的3931名员工。本研究采用混合抽样技术,包括目的抽样、比例抽样和随机抽样技术。使用Cochran样本量公式(1977)获得676名参与者的样本量。采用改编问卷,回复率达83.3%。不同构式的Cronbach 's α信度系数在0.769 ~ 0.904之间。采用推理(回归)分析对数据进行分析。研究发现:大数据分析维度对运营价值有显著影响(Adj.R2 = 0.932;(F (6,556) = 1284.42), p<0.05)。该研究得出结论,大数据分析影响了尼日利亚拉各斯州医疗保健公司的运营价值。建议:建议尼日利亚拉各斯州指定医疗保健服务公司的管理层投资于改进其ICT工具、技能和能力。投资于大数据分析可以显著提高服务或运营的价值。投资培训大数据分析人员可以提高他们的分析技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Big Data Analytics on Operational Value of Selected Healthcare Service Firms in Lagos State, Nigeria
Purpose: Several studies have found that data and tools help managers make better decisions. Proper infrastructure might prevent half of all health-care deaths. Health practitioners in Nigeria have made numerous mistakes by relying on their intuition rather than digital technology such as analytics to gain insights into patients' health records, profiles, lab findings, drug histories, and so on, leading to the premature deaths of many patients. Nigerian healthcare has also faced challenges. Despite Nigeria's strategic importance in Africa, health care is still underfunded. Health facilities, workers, and equipment are insufficient in remote areas. This study investigated the effect of big data analytics on the operational value of healthcare service firms in Lagos State, Nigeria. Methodology: The study adopted a survey research design. The population of the study comprised 3931 employees of accredited healthcare service firms in Lagos State. The study utilised mixed sampling techniques comprising purposive, proportionate, and random sampling techniques. A sample size of 676 participants was obtained using Cochran’s sample size formula (1977). An adapted questionnaire was used, and an 83.3% response rate was achieved. The Cronbach’s alpha reliability coefficients for various constructs ranged from 0.769 to 0.904. The data were analysed using inferential (regression) analysis. Findings: The findings revealed that big data analytics dimensions had a significant effect on operational value (Adj.R2 = 0.932; (F (6, 556) = 1284.42), p<0.05). The study concluded that big data analytics affected the operational values of healthcare firms in Lagos State, Nigeria. Recommendation: It was recommended that the management of designated healthcare service firms in Lagos State, Nigeria invest in the improvement of their ICT tools, skills, and capabilities. Investing in big data analytics increases the value of services or operations by a significant margin. Investing in the training of personnel in big data analytics enhances their analytical skills.  
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