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