Life sciences industries face challenges in managing diverse data standards and statistical output templates, resulting in process inefficiencies. Across the entire study build process, pharma companies have to deal with non-standard data, manual programming and disjointed downstream processing that leads to increased process time of study data tabulation models (SDTM). As a result, pharma companies are looking for an automated and integrated, metadata-driven, end-to-end solution, leveraging standards as the driving force.
ADD Data Standardization and Biometrics solution applies artificial intelligence to manage life sciences industries’ clinical standards requirement. Equipped with smart and flexible governance, the solution streamlines and maintains data from collection to submission through its Clinical standards registry. The ADD Data Standardization and Biometrics solution also provisions a clinical study design workbench with automated data transfer agreements and study build capabilities, coupled with the ability to generate submission ready SDTM Data & Packages.
The solution comprises of the following core components: -
Clinical standards registry and smart governance: Repository of multiple templates and standards, enabling cross-study and product reusability. Enterprises can leverage its workflow and smart governance capabilities to handle evolving standards with ease.
Automated study build: Automates electronic data capture (EDC) study design from standards and templates, interconnecting processes across the entire product cycle.
Integrated metrics and oversight: Intuitive metrics to assess usability of standards, allowing consistent governance across the cycle.
Automated SDTM and statistical computing: Automated creation of ready-to-use submission packages using artificial intelligence (AI), providing a controlled environment for biometrics.
Organizations can experience the following benefits with the solution
1. Real-time SDTM availability
2. Automates entire study setup build
3. Reduced workload and Increased efficiency
4. Standard library with smart governance
5. Improved Data quality and oversight
6. Increased compliance with regulatory standards
1. Up to 30%, cost reduction in EDC study build efforts
2. Upto 3-6 weeks’ time reduction in EDC study build efforts.
3. Up to 70% reduction in SDTM efforts.