Data Scientists

The ClosedLoop.ai platform is purpose-built to make healthcare-focused data scientists more effective at their jobs. By providing off-the-shelf models for many common healthcare use cases and automating many of the manual processes involved in traditional data science tasks, ClosedLoop allows data scientists to focus on the impactful problems that drive real value for organizations.

Learn More
Data scientists spend 80% of their time doing what they least like to do: collecting existing datasets and organizing data. That leaves less than 20 percent of their time for creative tasks like mining data for patterns that lead to new research discoveries. NIH Strategic Plan for Data Science

What We Do

ClosedLoop’s data science platform combines leading-edge AI tools and automation capabilities with healthcare specific content and expertise - enabling healthcare data scientists to build accurate and explainable predictive models with speed and ease.

  • icon

    EASILY HANDLE MESSY HEALTHCARE DATA

    Healthcare data is notoriously “messy.” ClosedLoop makes it simple to import raw healthcare data sets, such as medical claims, prescriptions, EMR, and custom data, without the need for tedious data normalization and cleansing.

  • icon

    AUTOMATE FEATURE ENGINEERING

    ClosedLoop helps healthcare data scientists build models and features smarter and faster—freeing them to focus their time on discovery of new insights.

  • icon

    INCREASE ACCURACY

    ClosedLoop provides data scientists with the tools they need to build highly accurate models and to continuously improve those models as new data and insights are surfaced.

  • icon

    ENHANCE EXPLAINABILITY

    ClosedLoop unpacks the “Black Box” of artificial intelligence allowing data scientists and clinicians to understand why and how factors impact a model’s prediction, driving faster adoption and better clinical results.

  • icon

    SUPPORT COLLABORATION

    ClosedLoop allows data scientists and clinicians to create and iterate on predictive models together.

  • icon

    ENABLE SEAMLESS MODEL DEPLOYMENT

    With ClosedLoop’s end-to-end solutions, it is easy to operationalize a model and automatically update predictions as new data arrives.

Did You Know...

80%

of a data scientists time is spent on tedious tasks they least like

344%

increase in demand for data scientists since 2013

151,717 people

Growing demand has led to a nationwide shortage of 151,717 people with data science skills

Off-the-Shelf Models

Readmissions

There were approximately 3.3 million adult 30-day all-cause hospital readmissions in the U.S. in 2011, and they were associated with about $41.3 billion in hospital costs.

learn more

Hospital Acquired Conditions & Infections

Annually, approximately 2 million patients suffer with HAIs in the U.S., and nearly 90,000 are estimated to die. The overall direct cost hospitals incur due to HAIs is estimated to be as high as $45 billion annually.

learn more

Potentially Preventable Hospitalizations

Nearly 4.4 million hospital admissions for acute illness or worsening chronic conditions totaled $30.8 billion in hospital costs. Identify which admissions can be prevented.

learn more

Chronic Disease—Onset or Progression

Heart disease, cancer, and diabetes are the leading causes of death and disability in the U.S. and they make up 90% of the nation's $3.3 trillion annual healthcare costs.

learn more

Want to build a predictive model in 24 hours?

Set up an account and create your own predictive model with speed and ease.

Create an account