Clinical data management A Review of Current Practice in Australia

L. Houston, Y. Probst
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引用次数: 1

Abstract

The practice of clinical data management (CDM) in Australia has seen and continues to experience tremendous growth. As such, this article reviews the current practice of CDM in Australia. The article addresses the history of the profession and provides insight into the difference between the sectors, the evolving role, ongoing requirements for training and education, and an overview of the regulations and how these impact the Australian CDM landscape. Current practice of CDM in Australia differs considerably between industry, academic, and non-profit sectors though the uniform regulatory requirements are provided nationwide. This has raised challenges for mostly academic, non-profit, and small-scale trials which are more likely to lack access to resources, facilities, management, and funding. Australian clinical data managers are required to have formal skills related to data, technology, security, and project management, though they are also expected to operate at the highest levels of excellence across all areas of their diverse roles. It is only in recent years that CDM has evolved to a stronger focus on data quality. Regardless of these challenges, clinical data managers have played, and continue to play, a key role in Australian biomedical research. They have provided guidance on data collection, processing, and management procedures to ensure that studies achieve high quality outcomes. However, more research is needed to develop specific CDM training courses to help Australian clinical data managers to meet a standard of knowledge, education, and experience to be officially recognised as a profession.
临床数据管理:澳大利亚当前实践回顾
临床数据管理(CDM)的实践在澳大利亚已经看到并将继续经历巨大的增长。因此,本文回顾了目前澳大利亚清洁发展机制的实践。本文阐述了该行业的历史,并提供了不同部门之间的差异,不断发展的角色,对培训和教育的持续要求,以及法规的概述以及这些法规如何影响澳大利亚清洁发展机制的前景。澳大利亚目前的清洁发展机制实践在产业界、学术界和非营利部门之间差别很大,尽管在全国范围内提供了统一的监管要求。这给大多数学术、非营利性和小规模试验带来了挑战,这些试验更有可能缺乏资源、设施、管理和资金。澳大利亚临床数据管理人员被要求具备与数据、技术、安全和项目管理相关的正式技能,尽管他们也被期望在其不同角色的所有领域以最高水平的卓越水平运作。直到最近几年,CDM才发展到更加关注数据质量。尽管面临这些挑战,临床数据管理人员已经并将继续在澳大利亚生物医学研究中发挥关键作用。他们为数据收集、处理和管理程序提供了指导,以确保研究取得高质量的结果。然而,需要更多的研究来开发具体的清洁发展机制培训课程,以帮助澳大利亚临床数据管理人员达到知识、教育和经验的标准,从而被正式认可为一种职业。
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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