MedSift uses advanced NLP to extract, structure, and index clinical data from free-text notes — giving hospitals, researchers, and health systems the intelligence layer they've been missing.
The Problem
Physician notes, discharge summaries, pathology reports — critical intelligence buried in free-text that legacy systems simply can't parse.
Platform Capabilities
State-of-the-art language models trained on clinical corpora extract entities, relationships, and assertions from free-text notes.
Outputs normalized FHIR-compatible resources — diagnoses mapped to ICD-10, medications to RxNorm, procedures to CPT.
Full-text and semantic search across your entire clinical corpus. Find patients, patterns, and cohorts in milliseconds.
Built with PHI protection at every layer — encryption at rest and in transit, audit logging, role-based access, and de-identification tools.
How It Works
Connect your EHR, upload documents, or stream notes via HL7/FHIR. MedSift accepts any clinical text format.
Our NLP pipeline extracts entities, resolves codes, identifies negations and temporality, and links assertions to patients.
Search, filter, aggregate, and export structured clinical data through our dashboard or API. Build cohorts in clicks.
Use Cases
Surface relevant patient history, drug interactions, and care gaps at the point of care. Give clinicians the full picture without the chart review.
Identify patient cohorts, extract phenotypes, and build research datasets from millions of clinical notes. Accelerate from hypothesis to analysis.
Automate clinical quality measure abstraction. Extract the data points needed for CMS reporting, HEDIS, and internal quality dashboards.
Stratify risk, identify social determinants, and monitor chronic disease across your patient population using structured clinical intelligence.
Join leading health systems and research organizations using MedSift to transform their unstructured clinical data into structured intelligence.
No commitment required. We'll schedule a personalized walkthrough.