Validated Environments

Validated Environments In the dynamic realm of today’s IT and clinical research, the concept of a validated environment transcends the simplicity of predictable outcomes – it’s a realm where precision and reliability are paramount. The evolving nature of closed systems, access to resources, updates, analytical packages, and their myriad dependencies present a complex tapestry, where updates occur asynchronously, and quality standards vary.

Our data solutions are powered by the following technologies

Clinical Data Experts

The beauty of open-source systems lies in their flexibility and the community-driven approach to continuous improvement. These systems thrive under a risk-based evaluation, a principle championed by the R Validation Hub. Such an approach isn’t just about meeting baseline requirements; it’s about comprehensively documenting the lifecycle of software packages, ensuring rigorous testing coverage, and seamlessly integrating these tools into your unique ecosystem. This isn’t a one-size-fits-all solution; it’s a dynamic, adaptable strategy tailored to align with the specific risk tolerance and needs of each organization.

Cost Savings

By optimizing large data workflows and pipelines in the cloud, we enable scalable solutions and custom-built platforms that can be deployed across the cloud to your global customers’ needs.

Faster Turnaround Time

Whether it’s identifying top hits from high-throughput screens or developing AI tools for personalized medicine. We deliver results efficiently to accelerate your internal research or clinical development, leading to faster actionable insights.

Streamlined Research and Development

Under our scientific guidance, many Bioinformatics companies have developed and expanded their clinical products and secured their patient data.

Our Solutions

In the evolving landscape of pharmaceutical development, an increasing number of companies, both large-scale and emerging startups, are shifting their focus towards integrating open-source software, particularly R and Python, into their validated environments. This significant move is propelled by a confluence of compelling factors:

Escalating Costs of Legacy Systems

Innovative Open-Source Ecosystem

Changing Expertise Landscape

Internal Familiarity and Adoption

Educational Support

Escalating Costs of Legacy Systems

Innovative Open-Source Ecosystem

Changing Expertise Landscape

Internal Familiarity and Adoption

Educational Support

How Does It Work?

ProCogia’s approach to integrating open-source software in biotech and pharmaceutical environments reflects our deep commitment to the open-source community. This commitment is shown by our active contributions and leadership within the R Consortium. We extend our support to the R Validation Hub, taking a proactive role in hosting their Risk Assessment application, which plays a pivotal role in helping companies validate open-source software for data analysis in regulated environments. The R Validation Hub, bolstered by diverse participants from the pharmaceutical industry, fosters open collaboration aimed at helping the adoption of R in a regulatory context.

Comprehensive Study Design and Analysis

Utilizing established industry practices, we spend time understanding the unique requirements of your business to assess your technical needs. We conduct a workshop to understand the client and end-user landscape, prioritizing their needs. Each solution is developed to align with your business requirements.

Advanced Data Management and Processin

We emphasize statistical and machine learning packages, given their critical role in modeling and algorithmic analyses in clinical environments. The reproducibility and reliability of results derived from these packages are paramount. Our developers work in close collaboration with clients, aligning with their existing quality assurance standards or developing new, mutually agreeable criteria. This detailed assessment extends beyond statistical tools to include packages for general data management, graphics, database systems, and communication, ensuring comprehensive testing and validation.

In-Depth Statistical Analysis and Interpretation

A key aspect of our approach is the thorough assessment of the specific operational environment. We recognize that the accuracy and reliability of analytic software are heavily dependent on the underlying operating platform. Our engineering team conducts exhaustive reviews of clients’ systems, providing a detailed health check that covers all aspects of system dependencies, usage, update history, security configurations, and user access. Any identified issues are addressed in collaboration with the client’s IT partners, ensuring a robust and secure analytic environment.

Provisioning a validated repository

Finally, ProCogia ensures the integrity of the software environment by provisioning a validated repository. This repository, having fully documented and tested packages, is securely locked and made accessible to our clients. Our network administrators can configure client environments to exclusively use open-source libraries from this validated repository, with the flexibility to add packages on demand. This approach not only secures the software environment but also keeps the adaptability and innovation inherent in open-source solutions.