Building Patient Journeys & Cohorts

How to build patient journeys by combining structured EHR data with unstructured clinical documents such as clinical notes, PDFs, images, and FHIR APIs. See how John Snow Labs’ Patient Journey platform standardises healthcare data into OMOP CDM, enriches it with NLP and terminology mapping, and enables cohort creation, analytics, and text-to-SQL queries at scale. The video covers: - Data ingestion from multiple sources and formats - Healthcare NLP pipelines for extracting medical data - Terminology normalisation (ICD, SNOMED, RxNorm) - Record merging, deduplication, and confidence-based data acceptance - Explainable provenance for AI-extracted data - Why large language models struggle with complex healthcare databases and how multi-agent systems help generate reliable queries Resources: - John Snow Labs Healthcare NLP: https://www.johnsnowlabs.com/healthcare-nlp/ - OMOP Common Data Model (OHDSI): https://ohdsi.org/data-standardization/the-common-data-model/ - John Snow Labs Documentation: https://nlp.johnsnowlabs.com/docs #PatientJourney #DataManagement #HealthData #HealthcareNLP #clinicaldatamanagement #DataScience #MedicalAI