ISPOR Europe | Poster | Enhancing Data Quality in Health Research: Performance Insights of a Clinical NLP Algorithm for Diverse Medical Domains
This study presents performance insights into our clinical Natural Language Processing (NLP) pipeline. We have developed multilingual transformer-based models, trained on in-house curated data, for concept recognition, normalization and attribute extraction such as negation and temporality.
Authors: Clara L. Oeste, Jana Van Canneyt, Alina Kramchaninova, Lucas Sterckx, Narges Farokhshad, Iege Bassez, Shahbaz Pervaiz, Geert Van Gorp, Dries Hens
• Our clinical NLP pipeline significantly enhances real-world data (RWD) quality and integrity by enriching OMOP-CDM datasets with unstructured data.
• Initial out-of-the-box (OOTB) metrics demonstrate promising results, with subsequent validation across diverse medical domains validating its effectiveness for continuous data enrichment.
• Its successful implementation in studies leading to peer-reviewed scientific manuscripts underscores its role in supporting large-scale, cross-institutional research initiatives, contributing to evidence-based medical insights.
Complete the form above to download the poster and discover the methods used and the results obtained.
Click HERE to visit our Oncology Insights overview for more information on the LynxCare datasets within our European hospital network.
• Our clinical NLP pipeline significantly enhances real-world data (RWD) quality and integrity by enriching OMOP-CDM datasets with unstructured data.
• Initial out-of-the-box (OOTB) metrics demonstrate promising results, with subsequent validation across diverse medical domains validating its effectiveness for continuous data enrichment.
• Its successful implementation in studies leading to peer-reviewed scientific manuscripts underscores its role in supporting large-scale, cross-institutional research initiatives, contributing to evidence-based medical insights.
Complete the form above to download the poster and discover the methods used and the results obtained.
Click HERE to visit our Oncology Insights overview for more information on the LynxCare datasets within our European hospital network.
