Utilizing Data Analytics And Business Intelligence Tools In Laboratory Workflow.

Q2 Medicine
Ibrahim Mansoor, Farhan Javed Dar
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引用次数: 0

Abstract

A business intelligence (BI) tool in a laboratory workflow offers various benefits, including data consolidation, real-time monitoring, process optimization, cost analysis, performance benchmarking (quality indicators), predictive analytics, compliance reporting, and decision support. These tools improve operational efficiency, quality control, inventory management, cost analysis, and clinical decision-making. This write up reveals the workflow process and implementation of BI in a private hospital laboratory. By identifying challenges and overcoming them, laboratories can utilize the power of BI and analytics solutions to accelerate healthcare performance, lower costs, and improve care quality. We used navify (Viewics) as a BI platform which relies on an infinity data warehouse for analytics and dashboards. We applied it for pre-analytic, analytic and post-analytic phases in laboratory. We conclude, digitalization is crucial for innovation and competitiveness, enhancing productivity, efficiency, and flexibility in future laboratories.

在实验室工作流程中利用数据分析和商业智能工具。
实验室工作流程中的商业智能(BI)工具具有多种优势,包括数据整合、实时监控、流程优化、成本分析、性能基准(质量指标)、预测分析、合规报告和决策支持。这些工具可提高操作效率、质量控制、库存管理、成本分析和临床决策。这篇报道揭示了一家私立医院实验室的工作流程和商业智能的实施情况。通过识别挑战并克服它们,实验室可以利用商业智能和分析解决方案的强大功能来加快医疗保健绩效、降低成本并提高护理质量。我们使用 navify (Viewics) 作为商业智能平台,该平台依靠无限数据仓库进行分析和仪表盘。我们将其应用于实验室的分析前、分析中和分析后阶段。我们的结论是,数字化对创新和竞争力至关重要,可提高未来实验室的生产力、效率和灵活性。
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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CiteScore
2.30
自引率
0.00%
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0
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