This is a pretrained resolver model that extracts medications and resolves their adverse reactions (ADE), RxNorm, UMLS,
~$21,000/yr est.
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Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$21,000/yr est.
Request a sample directly from John Snow Labs.
A Dataset for Dialogue-based Medication Recommendation
by Z He · 2022 · Cited by 24 — In this work, we construct DIALMED, the first high-quality dataset for medical dialogue-based medication recommendation task. It contains 11,996 ...
meds_reader: A fast and efficient EHR processing library
We use three publicly available electronic health record datasets: eICU, MIMIC-III and MIMIC-IV (Pollard et al., 2018; Johnson et al., 2016, ...
LLM-based Synthetic Medical Text Generation Framework
We introduce MedSyn, a novel medical text generation framework that integrates large language models with a Medical Knowledge Graph (MKG).
Expected fields and columns in this data product
Medication Coder is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $21,000/yr (an estimate, not a vendor-published price).
This is a pretrained resolver model that extracts medications and resolves their adverse reactions (ADE), RxNorm, UMLS,
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...