Streamlining Registration and Requests for Gene Editing
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- CRISPR/Cas9-based gene editing therapeutics
- Request Management
- Workflow Management
Tech Stack
- SharePoint
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Innovation Output
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Life Sciences
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
Use Cases
- Predictive Quality Analytics
- Root Cause Analysis & Diagnosis
Services
- Data Science Services
About The Customer
Intellia is a company that is developing CRISPR/Cas9-based gene editing therapeutics with in vivo and ex vivo delivery models. They are at the forefront of the gene editing industry, using advanced technology to create therapeutics that can potentially revolutionize the healthcare industry. However, their operations were being hindered by an inefficient and outdated registration and request system.
The Challenge
Intellia was facing several challenges in their registration and request process for their CRISPR/Cas9-based gene editing therapeutics. The previous registration process was scattered across SharePoint spreadsheets, emails, and paper, leading to unreliable data and a significant amount of time spent piecing together lineages. Their plasmid repositories couldn’t be tracked and kept up to date. Furthermore, the lack of a formal request system led to lost requests and insufficient detail in requests. Without a reliable plasmid inventory, certain requests were difficult to complete.
The Solution
To address these challenges, Intellia implemented a centralized registration system. This system uses standardized lists of plasmids and other entities to make data reliable and easily shared. This has significantly improved the reliability of their data and reduced the time spent on registration. In addition, they introduced a streamlined request triaging system. With Request Management, teams can generate greater throughput and higher quality products because they can easily access the information they need. Finally, they implemented Workflow Management to generate R&D insights. This system empowers Intellia to identify the upstream entities that lead to successful batches. For example, they can now answer questions like, “Which bio-vector led to this particularly effective protein batch?”
Operational Impact
Quantitative Benefit
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