Dataset creation and transformation is an important step in reporting clinical trial data, and in some situations it can be a difficult and time consuming process. As with all areas of clinical trial development, we should always look for ways to do the job more efficiently to lower costs and allow our teams to be more productive. The first solution generally proposed to improve programming efficiency is to develop macros to increase the re-usability of code. But “traditional” macros have assumptions about the input and output data built into them. Changing standards over time and/or inconsistency in input data often make “traditional” macros difficult to maintain and limits their flexibility.
It’s already a best practice (and often mandatory) step to document the requirements of a data transformation project before programming begins. What if we built a system that used that information as metadata to automate much of the dataset creation? Such a system would not be constrained by changing standards or inconsistency in data. It would be flexible enough to be adapted to any situation involving data transformation.
This webinar will cover the concepts involved in using metadata to improve the efficiency of data transformation programming. We will also see a case study of a large portfolio of work that has implemented these concepts to great success.
Keith Hibbetts, Manager, Statistical Programming, inVentiv Health Clinical
Keith has 13 years of experience in the clinical research industry. Currently, he is serving as a manager of a team of statistical programmers specializing in data transformation and integration. The team supports a large portfolio of work as part of a full service partnership, dedicated to a single client. Prior to moving into a management role, Keith held the title of Principal Statistical Programmer. Keith lead multiple projects, including the design and implementation of the metadata system described in this webinar. Prior to joining inVentiv Health Clinical, Keith was an employee of Eli Lilly and Company for 8 years. During this time, Keith supported many studies in Phase 1 development, and later designed and implemented a centralized system for producing patient narratives.
Who Should Attend?
Statistical Programmers and Managers responsible for the creation and/or transformation of datasets
inVentiv Health Clinical
inVentiv Health Clinical, formerly PharmaNet/i3, is a leading provider of global drug development services to Pharmaceutical, biotechnology, generic drug, and medical device companies. With 7,000 employees in more than 70 countries, inVentiv Health Clinical offers therapeutically specialized capabilities for all phases of clinical development, bioanalytical services, and strategic resourcing.
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