VP of Population Health

Managing diverse patient populations is no easy task. Successful population health management must start with efficient application of scarce resources – ensuring the right patients get the right help. With predictive analytics, identifying and stratifying at-risk populations can change the way high-quality care is delivered across the continuum. By connecting actionable insights to targeted interventions for specific individuals within a population, care teams can reduce preventable hospitalizations and better manage costly chronic conditions, while improving efficiencies and reducing total costs. Supported by the right technology and tools, you can lead the charge to make healthcare more accessible, affordable, and patient-centered.

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

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.

Model Templates

Total Risk

According to the AHRQ, the top 5% of all patients account for 50% of total U.S. healthcare expenditures, and the costliest 1% of patients account for 21% of healthcare expenditures.

learn more

Readmissions

According to AHRQ, 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

Potentially Preventable Hospitalizations

According to an AHRQ study, nearly 4.4 million hospital admissions for acute illnesses or worsening chronic conditions totaled $30.8 billion in hospital costs.

learn more

Chronic Disease—Onset or Progression

Heart disease, cancer, and diabetes are not only the leading cause of death and disability in the U.S., they make up 90% of the nation’s $3.3 trillion annual healthcare costs.

learn more

How Can ClosedLoop Help Improve Patient Outcomes & Lower the Total Cost of Care For Your Organization?

Get in touch today to speak with a member of the ClosedLoop team.

talk to an expert