Only RK

Price: 0

Number of applications: 8

Develop a pharmaceutical product parser for the marketplace
Customer

TOO Rocket Pharm
Decision acceptance deadline

01.09.25 (inclusive)

Form of award

Payment by agreement

Product status

Finished product

Task type

ICT tasks

Сфера применения

Media sphere

Область задачи

Processing and storage of Big Data

Tech-task
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Type of product

Software/ IS,

Mobile app

Problem description

Currently, data on medicines: They are scattered across various sources, may be incomplete or unstructured, are not always available in a form convenient for automatic processing, require manual reconciliation and comparison with internal databases (Aurma), which slows down processes and increases the risk of errors.

Expected effect

Automated NDDA data parsing with regular updates, Automatic matching with the Aurma internal database without human intervention, Significant reduction in time for updating and verifying data, Improving the accuracy and completeness of drug information, Simplify search and analytics through a unified data structure.

Full name of responsible person

Unguryan Victoria Alexandrovna

Purpose and description of task (project)

Collection of complete, reliable and accessible information about medicines from an official source — the National Center for Drug Expertise (NDDA), followed by data structuring (registration numbers, ATC codes, dosages, prescription, country of manufacture, etc.) for integration into the Aurma system.

Note

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