RPA Case

Pharmaceutical Industry

Pharmaceutical companies function in an industry with standards that are extensive, prohibitive, and time-consuming. Robotiproc’s RPA bots help pharmaceutical companies improve efficiency in clinical, regulatory, and supply chain processes, enabling faster innovation while remaining compliant.

1. Regulatory Submission Preparation

🔴 Problem: Documenting and preparing applications to regulatory entities such as the FDA/EMA is a labor intensive, and often repetitive job.

🔷 RPA Solution: Bots extract information from a selection of sources, validate documents, and collate companies eCTD submission.

📈 Impact: Reduce manual effort, increase accuracy, and ensure timely submission.

2. Pharmacovigilance Reporting

🔴 Problem: Consistent and reliably timely monitoring of adverse safety events, and accurate entry into safety databases is a constant danger for companies.

🔷 RPA Solution: Bots automate the extraction of required data from varied sources and integrate that data to populate safety databases and provide alert triggering functions when necessary.

📈 Impact: Making sure you are filing compliant with reporting timelines when it comes to drug safety; and most importantly, decreasing the potential for all manual data entry mistakes/discrepancies.

3. Clinical Trial Data Management

🔴 Problem: Multiple patient visit data collection across diverse sites leads to inconsistent data submission, and timeliness issues.

🔷 RPA Solution:  Bots extract and automatically transfer patient visit-related data (and lab results) to engage with Electronic Data Capture (EDC), and other systems needed, without any human intervention.

📈 Impact: Improved data integrity; increased timelines for trial data submission; and greater potential for submissions that will engage licensing approvals in a timelier manner.

4. Inventory and Batch Tracking

🔴 Problem: Real-time visibility is required to track the movement of drug batches across the supply chain.

🔷 RPA Solution: The use of bots allow for the reconciling of inventory records across the enterprise system (ERP), warehousing and distribution systems.

📈 Impact: Decreased inventory discrepancies, increased traceability, and better support of Good Manufacturing Practices (GMP).

5. Quality Control Documentation

🔴 Problem: Manual Quality Control (QC) data entry and logbook maintenance is time consuming and contributes to human error.

🔷 RPA Solution: Bots that log test results, confirm specifications and publish batch release report.

📈 Impact: Save techs time, improve accuracy of documentation and support audit preparedness.