The Cognitive Drug Research (CDR) System is a set of nine computerized tests of attention, information processing, working memory, executive control and episodic memory which was designed for repeated assessments in research projects. The CDR System has been used extensively in clinical trials involving healthy volunteers for over 30 years, and a database of 7751 individuals aged 18-87 years has been accumulated for pre-treatment data from these studies. This database has been analysed, and the relationships between the various scores with factors, including age, gender and years of full-time education, have been identified. These analyses are reported in this paper, along with tables of norms for the various key measures from the core tasks stratified by age and gender. These norms can be used for a variety of purposes, including the determination of eligibility for participation in clinical trials and the everyday relevance of research findings from the system. In addition, these norms provide valuable information on gender differences and the effects of normal ageing on major aspects of human cognitive function.

In many respects, the migration of a ClinRO to electronic administration is similar to that of a PRO. This article has explored the ways in which there might be special considerations for ClinROs that have not been elaborated for PROs.

Monitoring the quality of clinical trial efficacy outcome data has received increased attention in the past decade, with regulatory guidance encouraging it to be conducted proactively, and remotely. However, the methods utilized to develop and implement risk-based data monitoring (RBDM) programs vary, and there is a dearth of published material to guide these processes in the context of central nervous system (CNS) trials. We reviewed regulatory guidance published within the past 6 years, generic white papers, and studies applying RBDM to data from CNS clinical trials. Methodologic considerations and system requirements necessary to establish an effective, real-time risk-based monitoring platform in CNS trials are presented. Key RBDM terms are defined in the context of CNS trial data, such as "critical data," "risk indicators," "noninformative data," and "mitigation of risk." Additionally, potential benefits of, and challenges associated with implementation of data quality monitoring are highlighted. Application of methodological and system requirement considerations to real-time monitoring of clinical ratings in CNS trials has the potential to minimize risk and enhance the quality of clinical trial data.

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