Healthcare’s Data Science Platform

 

Getting the right answers starts with the right platform.  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.

ClosedLoop provides an end-to-end healthcare specific machine learning automation platform that supports data scientists from research through operational deployment.

The industry’s best collection of extendable pre-built predictive and prescriptive models for common healthcare use cases.

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Machine Learning Automation for Healthcare

  • 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.

  • 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.

  • 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.

  • ENABLE SEAMLESS DEPLOYMENT

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

Explore Use Cases

Readmissions

By using predictive analytics, healthcare systems can proactively identify patients likely to be readmitted to the hospital within 30 days post-discharge.

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Total Utilization

By flagging potential high utilizers, healthcare organizations can focus on patients that could benefit most from earlier, more targeted interventions.

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Sepsis Risk & HAIs

In addition to maximizing prevention efforts to reduce HACs and HAIs, hospitals can use predictive analytics to identify patients who are at high risk and more likely to acquire a condition or infection after being admitted to the hospital.

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Preventable Hospitalizations

By harnessing the power of predictive analytics, patients at risk for hospitalization can be identified in a timely manner.

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Chronic Disease - Onset or Progression

Predictive analytics can identify patients at higher risk of developing chronic diseases or in the early stages of their progression.

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Interested In A Custom Predictive Model?

Speak to one of our AI experts directly and tell us what you’d like to predict.

TALK TO AN EXPERT
ClosedLoop stood out from other AI firms in that they offered not only a usable, flexible analytics platform but extensive healthcare expertise. Drew Crenshaw, Chief Population Health Officer

Spend Less Time Normalizing Data & Feature Engineering

Create your own account and see how easy it is to build predictive models in the ClosedLoop Platform.

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