Case Studies Streamlining Registration and Requests for Gene Editing

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	Streamlining Registration and Requests for Gene Editing

Streamlining Registration and Requests for Gene Editing

Technology Category	Analytics & Modeling - Process Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Healthcare & Hospitals Life Sciences
Applicable Functions	Product Research & Development
Use Cases	Predictive Quality Analytics Root Cause Analysis & Diagnosis
Services	Data Science Services
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. Read More
About 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 However, their operations were being hindered by an inefficient and outdated registration and request system. Read More
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?” Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Process Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Healthcare & Hospitals

Life Sciences

Applicable Functions

Product Research & Development

Use Cases

Predictive Quality Analytics

Root Cause Analysis & Diagnosis

Services

Data Science Services

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.

About 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.

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?”

Impact #1	Centralized and standardized registration system leading to reliable and easily shared data.
Impact #2	Streamlined request triaging system allowing for greater throughput and higher quality products.
Impact #3	Implementation of Workflow Management to generate R&D insights and identify successful batches.

Impact #1

Centralized and standardized registration system leading to reliable and easily shared data.

Impact #2

Streamlined request triaging system allowing for greater throughput and higher quality products.

Impact #3

Implementation of Workflow Management to generate R&D insights and identify successful batches.

Benefit #1	Increased productivity due to streamlined request triaging.
Benefit #2	Improved data reliability due to centralized registration.
Benefit #3	Enhanced R&D insights due to Workflow Management.

Benefit #1

Increased productivity due to streamlined request triaging.

Benefit #2

Improved data reliability due to centralized registration.

Benefit #3

Enhanced R&D insights due to Workflow Management.

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Overview

Streamlining Registration and Requests for Gene Editing

Operational Impact

Quantitative Benefit