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仪表盘系统:将药物计量学从实验室应用到临床

Dashboard systems: implementing pharmacometrics from bench to bedside.

作者信息

Mould Diane R, Upton Richard N, Wojciechowski Jessica

机构信息

Projections Research Inc, 535 Springview Lane, Phoenixville, Pennsylvania, 19460, USA,

出版信息

AAPS J. 2014 Sep;16(5):925-37. doi: 10.1208/s12248-014-9632-5. Epub 2014 Jun 20.

Abstract

In recent years, there has been increasing interest in the development of medical decision-support tools, including dashboard systems. Dashboard systems are software packages that integrate information and calculations about therapeutics from multiple components into a single interface for use in the clinical environment. Given the high cost of medical care, and the increasing need to demonstrate positive clinical outcomes for reimbursement, dashboard systems may become an important tool for improving patient outcome, improving clinical efficiency and containing healthcare costs. Similarly the costs associated with drug development are also rising. The use of model-based drug development (MBDD) has been proposed as a tool to streamline this process, facilitating the selection of appropriate doses and making informed go/no-go decisions. However, complete implementation of MBDD has not always been successful owing to a variety of factors, including the resources required to provide timely modeling and simulation updates. The application of dashboard systems in drug development reduces the resource requirement and may expedite updating models as new data are collected, allowing modeling results to be available in a timely fashion. In this paper, we present some background information on dashboard systems and propose the use of these systems both in the clinic and during drug development.

摘要

近年来,人们对包括仪表板系统在内的医学决策支持工具的开发越来越感兴趣。仪表板系统是一种软件包,它将来自多个组件的关于治疗方法的信息和计算集成到一个单一界面中,以供临床环境使用。鉴于医疗成本高昂,以及为获得报销而越来越需要证明积极的临床结果,仪表板系统可能成为改善患者预后、提高临床效率和控制医疗成本的重要工具。同样,与药物开发相关的成本也在上升。基于模型的药物开发(MBDD)的应用已被提议作为简化这一过程的工具,有助于选择合适的剂量并做出明智的继续/终止决策。然而,由于包括提供及时的建模和模拟更新所需资源在内的各种因素,MBDD的全面实施并非总是成功的。仪表板系统在药物开发中的应用减少了资源需求,并可能随着新数据的收集加快模型更新,使建模结果能够及时获得。在本文中,我们介绍了一些关于仪表板系统的背景信息,并提议在临床和药物开发过程中使用这些系统。

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