Clark William R, Garzotto Francesco, Neri Mauro, Lorenzin Anna, Zaccaria Marta, Ronco Claudio
School of Biomedical Engineering, Purdue University, West Lafayette, IN - USA.
Department of Mechanical Engineering, University of Washington, Seattle, WA - USA.
Int J Artif Organs. 2016 Oct 10;39(8):399-406. doi: 10.5301/ijao.5000522. Epub 2016 Oct 6.
Dialysis is a highly quantitative therapy involving large volumes of both clinical and technical data. While automated data collection has been implemented for chronic dialysis, this has not been done for acute kidney injury patients treated with continuous renal replacement therapy (CRRT).
After a brief review of the fundamental aspects of electronic medical records (EMRs), a new tool designed to provide clinicians with individualized CRRT treatment data is analyzed, with emphasis on its quality assurance capabilities.
The first platform addressing the problem of data collection and management with current CRRT machines (Sharesource system; Baxter Healthcare) is described. The system provides connectivity for the Prismaflex CRRT machine and enables both EMR connectivity and therapy analytics with 2 basic components: the connect module and the report module.
The enormous amount of data in CRRT should be collected and analyzed to enable adequate clinical decisions. Current CRRT technology presents significant limitations with consequent lack of rigorous analysis of technical data and relevant feedback. From a quality assurance perspective, these limitations preclude any systematic assessment of prescription and delivery trends that may be adversely affecting clinical outcomes. A detailed assessment of current practice limitations is provided together with several possible ways to address such limitations by a new technical tool.
透析是一种高度量化的治疗方法，涉及大量临床和技术数据。虽然慢性透析已实现自动数据收集，但接受连续性肾脏替代治疗（CRRT）的急性肾损伤患者尚未如此。
在简要回顾电子病历（EMR）的基本方面之后，分析了一种旨在为临床医生提供个性化CRRT治疗数据的新工具，重点是其质量保证能力。
描述了首个解决当前CRRT机器数据收集和管理问题的平台（Sharesource系统；百特医疗保健公司）。该系统为Prismaflex CRRT机器提供连接，并通过两个基本组件实现EMR连接和治疗分析：连接模块和报告模块。
应收集和分析CRRT中的大量数据，以便做出充分的临床决策。当前的CRRT技术存在重大局限性，导致缺乏对技术数据的严格分析和相关反馈。从质量保证的角度来看，这些局限性妨碍了对可能对临床结果产生不利影响的处方和治疗趋势进行任何系统评估。本文详细评估了当前实践中的局限性，并提出了几种通过新技术工具解决这些局限性的可能方法。
