Insurance Data Extraction
Medical leaflet extraction: structured dosage data from unstructured text.
New data source created for prescription audits. Previously invisible information made operational.
New
audit data source created
The Problem
What needed to change
- Dosage information is presented in unstructured text (sentences, tables, or notes).
- Expressed in varied linguistic forms, making rule-based parsing ineffective.
- Dependent on multiple factors such as age, weight, and patient condition.
The client needed to transform this information into a structured format for internal analytics and control mechanisms (e.g., detecting dosage deviations by age group).
The Solution
What we implemented
An AI solution was designed and implemented that turns free-form package leaflets into a structured dosage dataset.
- Automatically retrieves package leaflets for medications in a defined ATC group from public sources.
- Uses a language model to extract dosage information based on various parameters (e.g., for children, adults, seniors).
- Outputs a structured dataset that categorizes dosage by patient group, method, and frequency of administration.
The output is ready for further use in the client's BI systems or control tools.
Client's feedback
“We gained access to data that previously didn't exist in any structured form. The solution from Insynaps opened up new possibilities for working with dosage information and strengthened both our analytical and control processes.”
– Dôvera Health Insurance Company
The Results
What changed after deployment
- The client gained a precise, machine-readable overview of dosages for selected medications.
- Significant time and labor savings, eliminating the need for manual review and transcription of dozens of documents.
- New opportunities for prescription audits, comparisons with treatment standards, and care optimization.
- The solution is scalable to other drug groups or control scenarios.
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