Transform health data into answers that improve care

Predictive analytics raise the likelihood of good outcomes and deliver cost and time savings –when you get it right

population health data analytics

Predictors at the patient level by provider, by group, and for your full population

population health data analytics

Growing library of 100+ pre-built, tested, stable, and calibrated predictive analytics

healthcare data analytics

Start seeing clinical and utilization predictions for your ACO patients quickly

healthcare data analytics

Robust analytics that are built on billions of health events from 100M+ individuals

Employing AI is no longer a luxury, it’s a necessity

Care planning today is limited by the information that is available in a patient’s health record and the time that a clinician can take to review it.

Our analytics tools can scan an individual’s complete health history, run the person’s data against sophisticated predictive models and offer up individualized risk profiles to maximize the probability of a good outcome for your patient.

This will allow highly trained medical professionals at ACOs, physician offices, and inpatient and post-discharge settings to spend less time sifting through gigabytes of incomplete data and more time using clinical judgment that is supported, not replaced by analytics.

Who we help

Health Data Analytics for ACO

ACOs, payers, and value-based care networks

Deploy a broad suite of data analytics to improve patient outcomes, reduce excess cost, and inform contracting decisions for your ACO.

Health Data Analytics for ACO

Providers

Transparent predictive analytics delivered at the point of care or during care planning identify patients who will benefit from additional attention and why.

aco success

Individuals

Health Picture, compatible with the new Patient Access API rule, enables beneficiaries to connect to participating payers to see their curated health history and a  personalized risk profile.
aco solution

Researchers

HDAI data scientists collaborate with interested investigators and industry clients on a broad range of Real World Evidence studies.

The HDAI difference

Bring individuals into focus

Old way

One size fits all

What is Michelle’s risk adjustment
factor (RAF)?

2.1

RAF score

1.00 is average

Single score

Based on generic calculator

Health Data Analytics

Sample patient, Michelle F | age 73

Parkinson’s, hypertension,
tobacco user, no recent hospitalizations
or recent ER visits

HDAI

Personalized Population Health

How does Michelle compare to other women her age?

5.1x risk

of hypothyroidism
onset

2x risk

of dementia onset

1.5x risk

of mortality in next 90 days

2.5x risk

of hospitalization due to falls and infection

AND MORE:

Including predictions of adverse events, chronic condition onset, total cost, high-value procedures, specialty utilization and more.

The HDAI difference

Bring individuals into focus

Sample patient, Michelle F | age 73

Parkinson’s, hypertension, tobacco user, no recent hospitalizations or ER visits.
Health Data Analytics
See how

Old way

One size fits all

What is Michelle’s risk adjustment
factor (RAF)?

2.1

RAF score

1.00 is average

Single score

Based on generic calculator

HDAI

Personalized Population Health

How does Michelle compare to other women her age?

5.1x risk

of hypothyroidism
onset

2x risk

of dementia onset

1.5x risk

Mortality in next 90 days

2.5x risk

of hospitalization due to falls and infection

AND MORE:

Including predictions of adverse events, chronic condition onset, total cost, high-value procedures, specialty utilization, and more.

Over 100 predictions/individual

Most AI companies take from providers and healthcare organizations—their data, their attention, their money. We are trying to give them something they sorely need: not just insight but time to look patients in the eye and have the right conversation with them.

Nassib Chamoun

Founder, President, & CEO

HDAI Partners​