See the Big Picture in Healthcare with ClinicLynk.
Use real-time clinical data and predictive analytics to track diseases, prevent the spread, and improve public health outcomes.
We have partnered with great companies
About
Transform Healthcare with Data-Driven Insights
ClinicLynk’s data tools help life sciences companies and healthcare providers track disease trends, predict risks, and analyze population health across geographic areas. Currently in pre-market stage, ClinicLynk’s powerful data services are already being used to help healthcare organizations identify at-risk populations and improve patient outcomes.
Predict Disease Trends
Use data analytics and machine learning to map disease trends and predict health outcomes.
Track disease prevalence and co-morbidities
Predict treatment outcomes
Visualize trends across regions
Identify Disease Risk
Spot early health risks with predictive data models to prevent future complications.
Identify health risks early
Predict diabetes and other chronic conditions
Leverage upstream data for early detection
Track Infectious Diseases
Monitor real-time data to understand and respond to disease spread across regions.
Real-time infectious disease tracking
Identify infection hotspots
Analyze demographic and testing data
Prevent Virus Spread
Use predictive models to prevent the spread of viruses like Influenza and COVID-19
Monitor virus spread in real time
Predict future outbreaks with data models
Analyze patient susceptibility and co-morbidities
Monitor Health Data for Population Insights
Use real-time data to track patient health trends and predict financial impacts.
Monitor high-risk populations
Support claims with clinical data
Predict financial impact based on trends
Section Number Title
Section Number Subtitle
5+
Years of Clinical Data Analyzed
10,000+
Datapoints Processed Daily
100+
Disease Trend Monitored
2M
Patients' Health Data Secured and Anonimized
For Providers
Get Ahead of Health Trends with ClinicLynk
Learn how ClinicLynk’s predictive tools can help you track diseases, monitor populations, and prevent the spread of illnesses with real-time data insights.
Predict disease trends and patient risks
Monitor and prevent the spread of infectious diseases
Use data insights to drive public health decisions
