Automated scientific communication
This AI powered solution saves a lot of time and manual effort and empowers Pharma companies scientific writing experts to deliver high-value analysis documents.
Do you have quick access to the most relevant information from both internal and public sources, which can speed up your scientific communication workflows?
How do you ensure that given the huge volume of manual processing work you will not miss something important?
Ontotext smart AI solution jointly helps Pharma companies transform and enhance their scientific writing process. It consisted of automatic data extraction, definition of business rules and natural language generation.
Data extraction: Using advanced natural language processing pipelines, Ontotext extracts specific key categories such as introduction, method data (Study Design, Study Population, etc.) and result data (Patient Disposition, Patient Demographics, Safety, etc.). Then the clinical trial data extracted from the documents is populated into a custom built knowledge graph and interlinked with the Pharma company’s clinical trials public data.
Definition of Business Rules: On top of this high quality structured data, our partners domain experts apply business rules associated with the medical information needs.
Natural Language Generation: Finally, on top of the knowledge graph, Ontotext applies data analytics techniques to extract the important facts and to generate meaningful natural language summarizations for each knowledge category.
This semantically normalized high granularity data is a powerful knowledge discovery enabler with some tangible benefits like:
- Time saving of more than 75%
- 60% effort saving due to workflow automation
- Easy and standard access to high quality data.
Get in touch with Ontotext for further information.
