TCS' Pharmacovigilance Triaging Solution

TCS' Pharmacovigilance Triaging Solution automates the Signal Intake process optimizing the manual effort and reducing error in the process through use of TCS’ Text and E-Email Classification approach providing a solution to challenge of using Natural Language and unstructured data in a case management system for decision making.

Life Science organizations regularly have to deal with multiple sources of signal data which have to be tracked, analyzed and responded to minimize the risks for their products. Pharmacovigilance triaging processes are usually manual, handled by back offices, with minimal integrations and prone to human errors with added complexity of dealing with long text and emails related to the signal.

TCS' Pharmacovigilance Triaging Solution helps automate and optimize the signal intake process by leveraging Appian BPM Suite as a system for capture of the Signal data from different sources and easy integration to back-end Signal Data Repository. The solution uses TCS Email and Text Classification approach which uses the latest improvements in the Machine Learning and Natural Language processing to process text and automate case assignment.

The Solution provides the following key business processes:

1. Read data from Adverse Event PDF forms for case processing and storage
2. Checking the system for duplicate cases and triaging the cases through task assignments
3. Classification of cases based on seriousness criteria in order to prioritize cases for further processing through use of TCS’ Email and Text Classification Machine Learning Algorithms
4. Provide Case View at the product level to understand trends and analysis based on the same
5. Workflow assignment based on the severity of the case

Key benefits of the Solution:

1. Operational efficiency: Improve operational efficiency through integration and optimization of manual effort in the process.
2. Flexibility: Application provides ability to accelerate the development of the E2E PV triaging process and can integrate into existing applications in the landscape
3. Technology Reusability – Uses the Text and Email Classification models which are plug and play into any workflow which needs Email/text to be classified for workflow.
4. Reporting features to show accuracy of model

The Solution integrates with TCS' Text and Email classification solution which provides Machine Learning based ability to process text and classify it into categories which will be used in the decision process. The Machine Learning Algorithms remove the need to manually process the signal information and assign severity to the cases.