Loading
Blog
Recent ActivityRecent Activity
4 minute read

Accelerating New Therapies to Market through Digital Tech Transfer

Maintaining Process Knowledge throughout the Product Lifecycle

Share This:

LinkedInLinkedIn
XX
FacebookFacebook
PrintPrint
EmailEmail
Life Sciences Pipette DNA digital network

The bioprocessing industry faces many challenges, but one of the most difficult is technology transfer.It is a complex process that involves many stakeholders throughout a biotech organization. As a therapeutic progresses towards commercialization, more tech transfers often occur that become increasingly complex.

Tech transfers vary widely, such as an early-stage process being transferred internally within an organization or scaling up and transferring externally to meet commercial demand. External transfers pose an additional set of challenges-including data sharing and security between the bioprocess developer or sponsor and a manufacturer. The critical challenge as you get further along the production lifecycle is maintaining process knowledge gained through each transfer.

At its most basic level, technology transfer is an exchange of data and knowledge. The BioPhorum IT workstream for the Digital Integration of Sponsor and Contract Organization is a collaboration between leading biopharmaceutical manufacturers, contract organizations, and software providers who are working together to bring about a shared vision for increased digital maturity in the interactions between their organizations. This group has taken the Digital Plant Maturity Model (DPMM) and examined it through the lens of tech transfer. What is common is that communications and collaboration during tech transfer can be classified into one of five patterns of digital maturity, and most organizations are stuck at level 2.

BioPhorum Visual for Digital Maturity Chart

Reference: Biophorum Vision for Digital Maturity in the Integration Between Biomanufacturers and Partner Organizations (Nov 2022)

What do you see in a level 2 tech transfer?

Manual extract is where humans take information from one system and send it to other humans who import or enter it into their systems. Most simply, files are emailed, which is not guaranteed delivery, it is difficult to audit, and susceptible to security breaches. At its most advanced, there is a shared folder with no structure and requires manual manipulation.

Level 2 tech transfers are time consuming. A Significant amount of effort goes into developing bioprocesses, especially for complex biologics and cell therapies. Extensive process documentation is needed which may include:

  • Process descriptions, setpoints, and operating ranges
  • Equipment specifications
  • Material descriptions, specifications and suppliers
  • In process controls, and sampling plans
  • Analytical methods and Quality attributes
  • Buffer recipes, etc.

Subject matter experts are needed to manually review all documentation and then extract and transcribe important process details in the format being used at the manufacturing site. Errors in transcription can lead to failed batches or data integrity issues. Translating parameters to new equipment at a larger scale or with different control capabilities also poses a challenge. Finding a way to identify these gaps early and decide on the path forward is important for future success.

If you can move away from level 2 manual extraction and “level up” toward auto-extracted and auto-ingested data, you can significantly improve the tech transfer process.

To achieve this, you must build a foundation through digital transformation.

What does this look like?

Faster. Digital transformation will increase speed with auto data extraction from unstructured documents.

More Robust. Reduce errors with a structured system of record for process definition composed of common recipe building blocks that can be propagated to manufacturing systems in a controlled manner.

Efficient. Facilitate communication with a single platform for sharing knowledge and data, creating well-defined recipes, and achieving appropriate oversight through the entire process.

How do you get started?

You must establish a secure, collaborative network.

  • This platform would create space so the tech transfer team has a place for document submission and controlled revisioning
  • The location can act as a repository of knowledge that is a single source of truth for the process details.

You must get rid of paper.

  • At this point, you can upload source process documents to the secured network for collaboration and tracking. This will serve as your tech transfer package.
  • Then, you can take those documents and automatically extract relevant process details with cutting edge technologies like generative AI. This allows converting from unstructured process documents to structured digital datasets.
  • The datasets make up the core of your process recipe with critical information such as the process parameters, ranges, material and equipment specs, etc.

Digitize manufacturing plants.

  • A digitized model of your plant that can describe available equipment and capabilities.
  • Increasing transparency allows the tech transfer team to more easily choose the right site.
  • Begin to digitally map out gaps by comparing the existing process information to digital plant assets and their processing capabilities.

Create tailored recipes.

  • Create common recipe blocks from converted digital datasets in a standardized format such as S88
  • Configure the general recipe workflow by linking together the common recipe blocks.
  • Map the common recipe building blocks to site-specific equipment to consider equipment attributes and scale dependent parameters.

Link to manufacturing network.

  • Propagate site-specific recipes to other systems in the manufacturing network for further editing and execution.
  • This includes systems such as Manufacturing Execution System (MES), Distribute Control System (DCS) and Batch Execution System (BES)
  • This propagation can drastically reduce the errors and time it takes to deploy an automation system that provides further benefits.
Digital transformation improves tech transfer flow chart

At this point, you have achieved the foundation of the digital transformation of tech transfer. Through the lifecycle of a drug product, you can iterate on this process, which allows you to maintain the process knowledge by improving the collaboration and information sharing between stakeholders. Ultimately, you can reduce not only the overall cost of internal and external transfers, but also improve the speed of clinical trials, regulatory submissions, approvals, and most importantly supplying new innovative treatments to patients.

Published April 17, 2024

Topics: Life Sciences

Anthony DeBiase
Anthony DeBiase
Offering Manager, Hybrid Industry Solutions, Rockwell Automation
Anthony has over 14 years of experience in the life science industry focusing on process development, operational technology (OT) implementation, technology transfer, and cGMP manufacturing in biologics, cell therapies and regenerative medicine.
Subscribe

Subscribe to Rockwell Automation and receive the latest news, thought leadership and information directly to your inbox.

Subscribe
Recommended for You
Loading
  1. Chevron LeftChevron Left Rockwell Automation Home Chevron RightChevron Right
  2. Chevron LeftChevron Left Com... Chevron RightChevron Right
  3. Chevron LeftChevron Left News Chevron RightChevron Right
  4. Chevron LeftChevron Left Blogs Chevron RightChevron Right
  5. Chevron LeftChevron Left Accelerating New Therapies to Market through Digital Tech Transfer Chevron RightChevron Right
Please update your cookie preferences to continue.
This feature requires cookies to enhance your experience. Please update your preferences to allow for these cookies:
  • Social Media Cookies
  • Functional Cookies
  • Performance Cookies
  • Marketing Cookies
  • All Cookies
You can update your preferences at any time. For more information please see our Privacy Policy
CloseClose