Data retrieval and extraction from unstructured medical data is highly relevant in regulatory processes and marketing analysis
Information to extract:
Product name
MA-number, -holder, -date
Composition
Indication
Procedure & CMS
Legal basis
Prescription status
Smart Text Extraction from unstructured data using natural language processing methodologies (NLP)
Data and information from uploaded documents are automatically extracted and classified.
Results can be reviewed, revised and approved by users. Subsequent reporting requirements can be highly automated in customised and fully validated solutions.
Key benefits are substantial time savings through increased automation and superior intelligence insights used for marketing & portfolio analysis.
LVV has supported regenold GmbH in the development of NLP based algorithms. Currently in final product development before market launch
Use Case Examples:
Market overview for regulatory strategy
Harmonization and/or comparison of patient information
