Professionals, ranging from field operators to medical experts, have to prepare reports for suspected cases of Adverse Drug Reactions. This involves searching for signals of adversity in different medical documents (prescriptions,
field reports, hospital records and various other types of documents). It is conventionally done manually.
Alumnus automated this manual process for a client, speeding up case preparation by 400% (a professional now spends 15 min instead of 60 to prepare a case). This was a product prototype which generated significant
customer interest due to its efficiencies and precision of results.
Our product is packaged as an end-to-end workflow software with:
- Different roles for different grades of experts,
- Progress monitoring,
- Automatic and manual case assignment,
- Alarms for imminent and missed deadlines, and
- Case summary submission.
Personnel working on a case are auto prompted at every stage with results discovered by our NLP subroutines for medical conditions, laboratory tests, diagnoses, drug administrations, and medical codes. Forms are auto populated
with this information, drastically reducing case preparation time.