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Informatics in radiology: automated Web-based graphical dashboard for radiology operational business intelligence.

机译:放射学中的信息学:基于Web的自动化图形化仪表板,用于放射学业务智能。

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摘要

Radiology departments today are faced with many challenges to improve operational efficiency, performance, and quality. Many organizations rely on antiquated, paper-based methods to review their historical performance and understand their operations. With increased workloads, geographically dispersed image acquisition and reading sites, and rapidly changing technologies, this approach is increasingly untenable. A Web-based dashboard was constructed to automate the extraction, processing, and display of indicators and thereby provide useful and current data for twice-monthly departmental operational meetings. The feasibility of extracting specific metrics from clinical information systems was evaluated as part of a longer-term effort to build a radiology business intelligence architecture. Operational data were extracted from clinical information systems and stored in a centralized data warehouse. Higher-level analytics were performed on the centralized data, a process that generated indicators in a dynamic Web-based graphical environment that proved valuable in discussion and root cause analysis. Results aggregated over a 24-month period since implementation suggest that this operational business intelligence reporting system has provided significant data for driving more effective management decisions to improve productivity, performance, and quality of service in the department.
机译:如今,放射科在提高运营效率,性能和质量方面面临许多挑战。许多组织依靠过时的,基于纸张的方法来回顾其历史表现并了解其运营。随着工作量的增加,地理位置分散的图像采集和读取站点以及技术的日新月异,这种方法越来越难以为继。构建了一个基于Web的仪表板,以自动提取,处理和显示指标,从而为每月两次的部门运营会议提供有用的最新数据。作为建立放射学商业智能架构的长期工作的一部分,评估了从临床信息系统中提取特定指标的可行性。从临床信息系统中提取操作数据,并将其存储在集中式数据仓库中。在集中式数据上执行了更高级别的分析,该过程在基于动态Web的图形环境中生成指标,该指标在讨论和根本原因分析中被证明是有价值的。自实施以来的24个月中汇总的结果表明,该运营业务智能报告系统已提供了重要数据,可用于推动更有效的管理决策,从而提高部门的生产率,绩效和服务质量。

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