Adverse Events Monitoring

Automated end-to-end pharmacovigilance process - managing multiple reporting templates, source and changing regulatory requirements​

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A large global pharmaceutical company headquartered in USA with products marketed across the globe.

Challenge

Manually identifying, downloading multiple sources and document formats.

Manually identifying, downloading multiple sources and document formats.

Scarce Subject Matter Expertise, Increasing number of Cases to be processed on a daily basis.

Scarce Subject Matter Expertise, Increasing number of Cases to be processed on a daily basis.

Manual data entry and coding of case-related information.

Manual data entry and coding of case-related information.

Fast-changing regulatory requirements and integration to safety database.

Fast-changing regulatory requirements and integration to safety database.

Botminds Solution

A pharmacovigilance process automation pipeline that automates case loading and case processing for varied document types.

A pharmacovigilance process automation pipeline that automates case loading and case processing for varied document types.

Botminds AI crawlers automatically loaded the case documents for auto-classifying and auto-extracting the PV related information.

Botminds AI crawlers automatically loaded the case documents for auto-classifying and auto-extracting the PV related information.

A one-stop automation solution to onboard any document type in minimal hours for end-to-end PV process.

A one-stop automation solution to onboard any document type in minimal hours for end-to-end PV process.

Results

99.9%
On-time case reporting.

Customer was able to report the high severity or critical cases within the stipulated time

100%
Accuracy

PV analyst performed validation, delivered accurate data with one AIʼs output from in a multi-layer process.

5x
Improved TAT

Optimized turnaround time in managing multiple patient report templates and ever-changing regulations

3x
Case Volume Increase

A threefold increase in cases processed by PVAs in comparison to using legacy systems

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