About clinicLynk

clinicLynk’s data tools give the big picture look at the spread of illnesses across geographic
areas as well as predictive tools to understand who is most at risk. clinicLynk is currently in a
pre-market stage, but abartysHealth’s data services are available now.

Several abartysHealth customers are using our data services to fight the COVID-19 pandemic,
predict patients’ risk to illness, and understand the big picture of patient health.

About clinicLynk

clinicLynk’s data tools give the big picture
look at the spread of illnesses across
geographic areas as well as predictive
tools to understand who is most at risk.
clinicLynk is currently in a pre-market
stage, but abartysHealth’s data
services are available now.

Several abartysHealth customers are
using our data services to fight the
COVID-19 pandemic, predict
patients’ risk to illness, and
understand the big picture
of patient health.

Predict Disease Trends

By using aggregate data sets, statistical analysis and applied machine learning, life sciences companies are
mapping the occurrence, prevalence, co-morbidities and trends of Hepatitis C — and using machine learning
models to predict how many cases have been treated and cured.

Identify Disease Risk

Life sciences companies are using abartysHealth data to help patients get ahead of their health conditions.
abartysHealth provides cohort data, statistical analysis and machine learning models to spot unusual predictors
in a patient’s upstream data to predict diabetes and pre-diabetes.

Track COVID-19

abartysHealth has been participating in combating the COVID-19 pandemic by providing public health agencies
with real-time infectious disease data access to monitor confirmed cases. Data tools are used to pinpoint areas of high infection,
spikes in detected cases, ratio of positive tests and patient demographic information. abartysHealth data also provides useful
information on the labs themselves by tracking testing rates across geographic areas.

Prevent Virus Spread

Life sciences researchers use abartysHealth data not only to monitor the spread of diseases but predict the spread
of illnesses ahead of time. abartys provides near-realtime infectious disease data to monitor confirmed cases
of COVID-19, Influenza and Mycoplasma to produce data that can prevent further spread of the virus. The historical data is
used to createmachine learning models that predict the susceptibility to infection and the probability of developing complications
and determine common comorbidities.

Monitor Health Data

Real-time clinical data gives health plans insights on their patient population’s health and highlights high-risk subpopulations.
And the clinical data gets used to support claims and predict the financial impact.

Predict Disease Trends

By using aggregate data sets, statistical analysis and applied machine learning,
life sciences companies are mapping the occurrence, prevalence, co-morbidities and trends
of Hepatitis C — and using machine learning models to predict how many cases
have been treated and cured.

Identify Disease Risk

Life sciences companies are using abartysHealth data to help patients get ahead
of their health conditions. abartysHealth provides cohort data, statistical analysis
and machine learning models to spot unusual predictors in a patient’s upstream data
to predict diabetes and pre-diabetes.

Track COVID-19

abartysHealth has been participating in combating the COVID-19 pandemic by
providing public health agencies with real-time infectious disease data access to monitor
confirmed cases. Data tools are used to pinpoint areas of high infection, spikes in
detected cases, ratio of positive tests and patient demographic information. abartysHealth
data also provides useful information on the labs themselves by tracking testing
rates across geographic areas.

Prevent Virus Spread

Life sciences researchers use abartysHealth data not only to monitor the spread
of diseases but predict the spread of illnesses ahead of time. abartys provides
near-realtime infectious disease data to monitor confirmed cases of COVID-19, Influenza
and Mycoplasma to produce data that can prevent further spread of the virus.
The historical data is used to create machine learning models that predict the susceptibility
to infection and the probability of developing complications and
determine common comorbidities.

Monitor Health Data

Real-time clinical data gives health plans insights on their patient population’s
health and highlights high-risk subpopulations. And the clinical data
gets used to support claims and predict the financial impact.

Predict Disease Trends

By using aggregate data sets, statistical
analysis and applied machine learning,
life sciences companies are mapping the
occurrence, prevalence, co-morbidities
and trends of Hepatitis C — and using
machine learning models to predict how
many cases have been treated and cured.

Identify Disease Risk

Life sciences companies are using
abartysHealth data to help patients get
ahead of their health conditions.
abartysHealth provides cohort data,
statistical analysis and machine learning
models to spot unusual predictors in
a patient’s upstream data to predict
diabetes and pre-diabetes.

Track COVID-19

abartysHealth has been participating in
combating the COVID-19 pandemic by
providing public health agencies with
real-time infectious disease data access
to monitor confirmed cases. Data tools
are used to pinpoint areas of high
infection, spikes in detected cases,
ratio of positive tests and patient
demographic information.
abartysHealth data also provides
useful information on the labs
themselves by tracking testing
rates across geographic areas.

Prevent Virus Spread

Life sciences researchers use
abartysHealth data not only
to monitor the spread of diseases
but predict the spread of illnesses
ahead of time. abartys provides near-
realtime infectious disease data to
monitor confirmed cases of COVID-19,
Influenza and Mycoplasma to produce
data that can prevent further spread of
the virus. The historical data is used
to create machine learning models
that predict the susceptibility to
infection and the probability
of developing complications and
determine common comorbidities.

Monitor Health Data

Real-time clinical data gives health plans
insights on their patient population’s
health and highlights high-risk
subpopulations. And the clinical
data gets used to support claims
and predict the financial impact.

Contact abartysHealth to find out
how to put its data tools to use

Schedule A Demo

Contact abartysHealth
to find out how to put its
data tools to use

Schedule A Demo