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HMS Case Study

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Planning and Analysis of Clinical Trials in a Validated R Environment

Plan and analyze clinical trials with R, evaluate new packages in a controlled process, and deploy them to validated test and production environments.

Management Summary

BioHorizons Camlog, a leading provider of premium dental implant systems, has partnered with HMS to leverage a diverse range of cutting-edge technologies to successfully integrate and streamline disparate datasets. A robust data warehouse and Power BI model now enable efficient and reliable reporting. This innovative solution ensures scalable, high-performance data integration and has also enhanced analytical capabilities, enabling global data-driven decision-making.

Project summary

#lifesciences
medac Gesellschaft für klinische Spezialpräparate mbH

medac Gesellschaft für klinische Spezialpräparate mbH

 

Industry: Pharmaceuticals and Clinical Research
Project Start: 07/2020
Focus: Migration & Modernization
Use Case: Architecture & Technology Renewal

Project Goal

Establish R as an additional programming language under GxP requirements

Key Project Aspects

  • Three-tier system environment for development, testing, and production
  • Documented deployment and change processes for R packages
  • Local package repository with defined snapshots

Tech Stack

r microsoft windows server rstudio

The Starting Point

For pharmaceutical companies, the R programming language is becoming increasingly important in the planning and analysis of clinical trials. The wide range of modern statistical methods available and the large, active community that is constantly developing and publishing new methods make R attractive from both a technical and methodological perspective.

However, when it comes to the qualification and validation of applications required in the GxP environment, the requirements are significantly higher than for standard software. While standard software comes with corresponding IQ/OQ procedures for Installation Qualification and Operational Qualification, numerous dependencies must be considered when validating R and its packages. These include the operating system as well as other R packages and their versions. In addition, it was necessary to ensure that the stringent regulatory requirements are met in day-to-day operations.

The HMS Solution

Three Environments for the Controlled Use of R

HMS designed a three-tier R environment consisting of a development environment as well as validated test and production environments. Defined deployment processes and access permissions form the basis for validated operation in a GxP environment.

Separate Development, Testing, and Production

While users are free to select and use R packages in the development environment, the test and production environments have been classified as GxP-relevant and validated accordingly. 

Controlled Deployment of New Packages

Clearly defined and documented deployment processes support controlled operation: To install new packages or package versions in the production environment, they are first evaluated in the test environment according to standardized guidelines and then transferred to the production environment as part of a change request. 

Control System Changes

Changes to the R installation itself and to the available packages are not permitted for standard users in the test and production environments;these actions are restricted to a dedicated SuperUser role.

Customer Benefits

Controlled Use of Modern Statistical Methods in a GxP Environment

The key benefits of the new R environment are summarized in the following three areas.

Costs

Reduced License Costs

Replacing the existing software reduced the costs associated with licensing fees for standard software (e.g., SAS® and EAST®). 

Methods

Access to Modern Statistical Methods

The new platform enables the use of modern statistical methods developed by the scientific community.

Flexibility

Explore and Test New Packages

Users can work flexibly in the development environment, and—in accordance with regulatory requirements in the GxP environment—install and test new packages.

Our Strengths, Your Benefits

R Expertise for Regulated Environments

In this project, HMS combined statistical programming with system architecture and requirements from the GxP environment. The solution integrates development, validation, controlled change, and ongoing operation.

What You Can Expect from HMS

  • Experience with statistical systems for clinical trials
  • R expertise combined with computer system validation
  • Architecture and processes for controlled system changes
Nicolai Henrichs
Nicolai Henrichs
Principal Sales & Solutions Consultant | Partner

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