Clinical data extraction
Convert free-text reports and notes into structured variables, with the source text retained for review and validation.
Cardiology · Radiology · Pathology · Progress notes
Secure healthcare data mining
Turn clinical notes into analyzable data.
MedSync Health extracts structured data from free-text healthcare records using models deployed in your private cloud—so PHI remains within your controlled environment.
Private-cloud first
Source-linked outputs
Clinician-led validation
Example extraction
Private environment
FREE-TEXT REPORT
Left heart catheterization performed via right radial approach. The LAD demonstrates 70% proximal stenosis. Left ventricular ejection fraction is estimated at 45%.
Structured output
FieldValueSource
Access siteRight radialLinked
LAD stenosis70% proximalLinked
LVEF45%Linked
>95%accuracy
5,170clinical reports
72data elements
Demonstrated in peer-reviewed cardiac catheterization and echocardiography research.
What we do
From clinical narrative to analysis-ready data.
Start with the information you need. We design the extraction, validate it against clinician review, and scale it across your record set.
Cohorts and registries
Build analysis-ready retrospective cohorts and longitudinal registries from information buried across clinical narratives.
Case finding · Outcomes · Disease severity · TimelinesPredictive modeling
Develop and validate transparent risk models using structured clinical data and modern tabular machine-learning methods.
XGBoost · CatBoost · FT-Transformer
Private by design
Your data stays inside your controlled environment.
Private-cloud deployment is our recommended model. Open-source language models run within your organization’s isolated environment, so clinical text does not need to leave your control.
- Deployed inside your private cloud or VPC
- No commercial third-party model API calls
- Source-linked output for review and validation
- On-premises deployment available when required
How it works
A practical path from sample to scale.
Define
Identify the fields, source notes, output format, and success criteria.
Validate
Run a representative pilot and compare the output with clinician-reviewed labels.
Scale
Deploy the validated pipeline across the full dataset in your secure environment.
Research
Research that advances real-world healthcare data extraction.
MedSync Health is actively engaged in clinical AI research, developing and validating better ways to make healthcare data extraction more accurate, efficient, scalable, and secure. We translate that work into practical solutions for researchers and health systems.
Privacy-preserving clinical AI
Efficient model development
Reliable extraction at scale
Read on PubMed
Converting unstructured cardiac catheterization and echocardiography reports into structured data using transformer-based language models
About MedSync Health
Clinicians and researchers building tools we would trust with our own studies.
MedSync Health was founded by clinicians and well-published researchers who understand both the complexity of healthcare documentation and the standards required for credible clinical research.
We combine clinical domain knowledge, natural language processing, and machine learning to make valuable information in free text usable—without compromising data control.
Start a conversation
Tell us what is hidden in your clinical notes.
We can begin with a focused pilot using a representative sample, clear validation criteria, and a defined path to scale.