Theradial: Transforming Healthcare with AI-Driven Data Extraction

Challenge : data overload in patient care

Manual data extraction in healthcare is a major operational and clinical bottleneck. Professionals spend significant time manually processing documents from PDFs to images, a process that is both error-prone and extremely resource-intensive. This critical challenge underscores the urgent need for an automated solution.

Key challenges include:

• Diverse Document Formats: Handling various file types (.pdf, .html, .xml, images) while preserving the document’s structure.
• Information understanding: unequivocally understand data written in a highly codified format specific to healthcare.
• ‍Data Cleaning and Parsing: Accurately cleaning and parsing unstructured data to ensure reliable extraction.‍
• Ontology Creation: Developing and continuously enriching a domain-specific ontology aligned with healthcare standards (utilizing standards like LOINC) to ensure that extracted data integrates effortlessly with existing systems.‍
• Agile Development: Delivering a production-ready solution quickly through iterative development, while meeting the rigorous demands of a clinical environment.

Solution: Lettria’s AI-powered healthcare assistant

The digital hub of the Theradial group partnered with Lettria to deploy an end-to-end solution that leverages advanced natural language processing and deep learning expertise in the healthcare domain. The approach consisted of two core components:

1. Document Parsing and Cleaning

Lettria’s API is designed to handle up to 20 different document formats, including PDFs, HTML, XML, and image files. It preserves the original document structure—titles, sections, paragraphs, tables—ensuring that the context is maintained throughout the parsing process. This scalable, multimodal solution efficiently processes even large documents while delivering high accuracy. Here is a sample document and the type of preprocessing sections that were identified by Lettria:

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2. Ontology Integration with LOINC

Instead of developing a custom ontology from scratch, our solution integrates the internationally recognized LOINC standard (Logical Observation Identifiers Names and Codes). LOINC is used globally to code laboratory tests and clinical observations, guaranteeing consistency and interoperability. It is updated quarterly by leading medical institutions and consortiums, making it a reliable choice for accurate data mapping. For more details, visit LOINC’s website or the French version at Bioloinc.

Developed using an agile methodology, our solution underwent iterative refinements—including prompt tuning and continuous ontology enrichment—before achieving a production-ready state. Today, The digital hub of the Theradial group benefits from a robust AI Assistant that efficiently extracts and structures patient data from diverse sources.

The impact of AI on medical efficiency

Our automated solution has transformed the data extraction process. With our system, processing time has been reduced dramatically to just 30 seconds per document. This substantial time saving not only improves operational efficiency but also allows teams to refocus their efforts on patient care and other strategic activities.

Lettria’s solution has transformed data management for the digital hub of the Theradial group by:

• Boosting Efficiency: Automated data extraction is fast, the time to process is less 30

• Improving Accuracy: High precision in identifying and extracting key health variables is improving the quality of patient records, reducing errors and supporting better clinical decisions.‍
• Streamlining Processes: The solution integrates fluently into existing systems, enabling smoother patient data flows and supporting digital transformation initiatives, reducing errors and supporting better clinical decisions.

Scaling for Progress

Short-Term Improvements:

• Continue scaling the solution to handle an even larger volume of patient documents across the digital hub of the Theradial group's ecosystem.
• Further refine the ontology and extraction models based on ongoing user feedback and emerging healthcare standards.

Long-Term Vision:

• Fully integrate the AI Assistant into the digital hub of the Theradial group's production systems for real-time data processing.
• Expand the solution to cover additional document types and clinical data sources, further optimizing overall patient journey management.

Lettria: your innovation partner in Healthcare AI

Lettria combines deep linguistic and knowledge management expertise with cutting-edge AI techniques to deliver a solution tailored for the healthcare industry. Our hybrid approach—merging advanced document parsing with tailored ontology creation—has already proven effective for the digital hub of the Theradial group. With our commitment to continuous improvement and innovation, Lettria stands as a trusted partner for leading healthcare organizations seeking to optimize their data extraction and management processes.