Planning and Analysis of Clinical Trials on a Validated R Environment
Planning and Analysis of Clinical Trials on a Validated R Environment

HMS Analytics Use Case Consulting

Initial Situation

The R programming language is gaining increasing popularity for pharmaceutical companies in the planning and analysis of clinical trials. From a technological and professional perspective, its appeal is owed to a wide range of modern statistical methodology, as well as to the large and very active community that constantly develops and publishes new methods. However, the obstacles for qualification and validation in the GxP environment are substantially higher compared to standard software. While, for example, standard software often includes standardized IQ/OQ (Installation Qualification / Operational Qualification) procedures for the respective operating environment, a large number of dependencies on the operating system, on other R packages and their versions must be taken into account for a successful execution of the supplied unit tests in R. It is also important to ensure that the users’ high regulatory security requirements can be met in their everyday work.

HMS Analytics Use Case Solution

HMS Solution

The R environment was designed as a three tier environment: While users can choose R packages freely in the development environment, the test and production environments are classified as GxP-relevant and were validated accordingly. To ensure operation in a regulated environment, clearly defined and documented deployment processes were implemented as follows. In order to install or update packages in the production environment, an initial evaluation is required in the test environment according to standardised guidelines, followed by transfer to the production environment as part of a change process. Furthermore, changes to the R installation or its libraries in the test and production environment are prohibited for all users except the super user. Installed packages are stored in a local repository using the R package miniCRAN and assigned with date snapshots. Thus, linking execution provenance to respective date snapshots ensures the reproducibility of all analyses at future time points.


Technologies: R, RStudio, rpact, Windows Server
Approach: Establishment of R as a new programming language
Architectural Approaches: System environment with three environments (development, test, production), deployment rules for system development (rolling out R packages)


The possibility to replace previous standard software by a validated R environment opens up the potential to reduce the costs of future licence fees. The described solution enables the use of modern statistical methods developed by the scientific community. Users are free to explore, install and test new packages in line with regulatory requirements in the GxP environment.

medac GmbH is a globally active pharmaceutical company with a steadily growing pharmaceutical and diagnostics division. Since its foundation in 1970, medac has specialised in the indication areas of urology, oncology and autoimmune diseases. Worldwide, more than 1,900 employees work in the development, production and marketing of medac products. In addition to expanding its established range of medicinal products, medac focuses on the further and new development of needs-based therapeutics and diagnostics – always with the aim of improving patients’ quality of life.

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