GSK's Agile Approach to Clinical Data Management
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Transportation
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Inventory Management
- Last Mile Delivery
Services
- Data Science Services
About The Customer
GSK is a global healthcare company with a mission to help people do more, feel better, and live longer. The company produces a wide range of prescription medicines, vaccines, and consumer healthcare products. GSK is committed to widening access to its products, improving the way diseases are managed, and developing new treatments that will help to define the future of healthcare. The company is constantly exploring new ways to speed up the delivery of life-saving treatments and improve its operational efficiency. GSK's modernization project is a testament to its commitment to leveraging technology to enhance its operations and ultimately benefit patients.
The Challenge
GSK, a global healthcare company, was facing challenges in managing its clinical data due to the use of multiple Electronic Data Capture (EDC) systems and complex processes. The company was using at least four different types of EDCs within its clinical data ecosystem, each customized to such an extent that it resembled a jigsaw puzzle. This complexity was slowing down the process of data review and management. Additionally, the company was struggling with the proliferation of digital data sources as it embraced hybrid digital trial models. The need for effective data management had become a key driver of trial success. GSK also aimed to accelerate the delivery of life-saving treatments, a goal hindered by the existing complex data management system.
The Solution
To address these challenges, GSK decided to implement Veeva CDB, a clinical database that speeds up data cleaning and standardization. This allowed GSK's data to be managed, reported, and analyzed more efficiently. The company also adopted Veeva Vault CDMS as its single, core Clinical Data Management (CDM) platform, avoiding customization and choosing a platform based on its inherent capabilities. This move towards a single platform aimed to improve data review and reduce complexity. The new system aggregates and harmonizes clinical data from every source to centralize cleaning and reconciliation. Additionally, GSK leveraged technology enablers such as AI and machine learning to support data cleaning and exploration, surfacing trial insights. The company also adopted an agile development process, which allowed it to complete the project in just 18 months.
Operational Impact
Quantitative Benefit
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