Deep dives into healthcare interoperability, NLP pipelines, and real-world evidence generation. Building bridges between clinical data and actionable insights.
A deep dive into building a browser-based Patient Management Application with vanilla HTML/CSS/JavaScript against HAPI FHIR R4 REST APIs -- covering architec...
How a medical entity recognition system achieves 96% accuracy in extracting and classifying clinical findings from unstructured notes, enabling better patien...
A comprehensive technical guide to building a hybrid medical NER system combining BioBERT models with 57,476 curated templates for 95%+ accuracy on clinical ...
Learn how to build a clinical prediction model using OHDSI's Patient-Level Prediction framework to identify patients at risk of gastrointestinal hemorrhage.
Learn how to build reproducible patient cohorts in OHDSI ATLAS with a hands-on Type 2 Diabetes use case, backend table explanations, and lessons learned from...
A comprehensive 11-module guide to transforming electronic health records into OMOP CDM for clinical research, covering EHR architecture, Synthea patient gen...
Learn how OHDSI transforms messy healthcare data into reliable clinical evidence. This guide explains the OMOP Common Data Model, standardized vocabularies, ...
A comprehensive guide to healthcare data exchange standards - understand how FHIR, HL7, LOINC, and SNOMED CT work together to enable seamless clinical data s...
The definitive guide to observational health data science. Free online at ohdsi.github.io/TheBookOfOhdsi.
Free online courses for OHDSI tools and OMOP CDM. Start learning at academy.ehden.eu.