Reed G, Reed D H
Integration Resources, Inc, Lebanon, NJ 08833, USA.
J Digit Imaging. 1999 May;12(2 Suppl 1):141-3. doi: 10.1007/BF03168783.
When planning a picture archiving and communications system (PACS) implementation and determining which equipment will be implemented in earlier and later phases, collection and analysis of selected data will aid in setting implementation priorities. If baseline data are acquired relative to performance objectives, the same information used for implementation planning can be used to measure performance improvement and outcomes. The main categories of data to choose from are: (1) financial data; (2) productivity data; (3) operational parameters; (4) clinical data; and (5) information about customer satisfaction. In the authors' experience, detailed workflow data have not proved valuable in measuring PACS performance and outcomes. Reviewing only one category of data in planning will not provide adequate basis for targeting operational improvements that will lead to the most significant gains. Quality improvement takes into account all factors in production: human capacity, materials, operating capital and assets. Once we have identified key areas of focus for quality improvement in each phase, we can translate objectives into implementation requirements and finally into detailed functional and performance requirements. Here, Integration Resources reports its experience measuring PACS performance relative to phased implementation strategies for three large medical centers. Each medical center had its own objectives for overcoming image management, physical/geographical, and functional/technical barriers. The report outlines (1) principal financial and nonfinancial measures used as performance indicators; (2) implementation strategies chosen by each of the three medical centers; and (3) the results of those strategies as compared with baseline data.
在规划图像存档与通信系统(PACS)的实施并确定哪些设备将在前期和后期阶段实施时,收集和分析选定的数据将有助于确定实施的优先级。如果获取了与性能目标相关的基线数据,那么用于实施规划的相同信息可用于衡量性能提升和成果。可供选择的数据主要类别包括:(1)财务数据;(2)生产力数据;(3)运行参数;(4)临床数据;以及(5)客户满意度信息。根据作者的经验,详细的工作流程数据在衡量PACS性能和成果方面并未被证明具有价值。在规划中仅审查一类数据将无法为确定能带来最大收益的运营改进目标提供充分依据。质量改进会考虑生产中的所有因素:人力、材料、运营资本和资产。一旦我们确定了每个阶段质量改进的关键重点领域,就可以将目标转化为实施要求,最终转化为详细的功能和性能要求。在此,整合资源公司报告了其针对三个大型医疗中心的分阶段实施策略衡量PACS性能的经验。每个医疗中心都有自己克服图像管理、物理/地理以及功能/技术障碍的目标。该报告概述了:(1)用作性能指标的主要财务和非财务衡量标准;(2)三个医疗中心各自选择的实施策略;以及(3)与基线数据相比这些策略的结果。