Predict Chronic Disease Risks


Comprehensively predict and manage patient risks across the spectrum of chronic disease

 

According to the Centers for Disease Control and Prevention (CDC.gov) 86% of health care spending is consumed by people with one or more chronic diseases. If this fact wasn't sufficient, the costs of managing chronic disease continue to spiral out of control. Rising to the challenge and driven by new incentives, providers are tackling this top priority by delivering care in more intelligent and precise ways. 

While retrospective reporting has proven to be an important tool to manage past performance, population health management now requires looking into the future to target interventions which address the needs of those most at risk, well before signs of serious deterioriation. Recognizing this, leading care providers are now shifting gears to predict a multitude of patient risks and intervene with tailored care plans to significantly improve patient health, reducing the cost of care and preventing re-hospitalization. 

The good news is that billions of dollars have already been invested into advanced risk prediction algorithms that are now being deployed to analyze a broad spectrum of potential risks. These evidence-based algorithms take advantage of commonly available electronic health record (EHR) data and their results are being delivered as decision support insight where it can be most effectively used, in care workflow.

With the Apervita platform and marketplace of predictive health algorithms, providers can now stop looking in the rear view mirror and anticipate the future.

The Apervita marketplace provides chronic disease risk prediction solutions for CHF, AMI, COPD, Pneumonia, Hip & Knee, Hypertension, Diabetes, Readmissions, Cancer, Infection Control, Surgery, Geriatrics, Behavioral Health and many other areas. They also address a broad variety of care settings such as acute care, emergency, ambulatory, hospital to home (H2H), remote care, long term and nursing facilities.

 

Detect inpatient risks such as Sepsis

To Find Out More Request a Demo

 

Process Benefits:

 

  • Target care teams to those most at risk
  • Provide additional support to high risk patients during care transition
  • Identify patient most at risk of re-hospitalization
  • Monitor compliance to best practice care protocols
  • Educate patients on their risks, treatment options and life-style choices
  • Track performance against core measures
Performance Benefits:

 

  • Reduce patient disease severity and mortality
  • Prevent hospital readmissions
  • Reduce the overall cost of care delivered
  • Attain performance measure goals

 

With a full spectrum of chronic disease patient risk prediction analytics from Apervita, we were able to redesign our care transition process and significanly reduce costs and readmissions by focusing our interventions on high risk patients.

Chief Medical & Quality Officer, Major U.S. Health System

Key features:

 

Marketplace
Choose from over 20,000 predicitive algorithms.
Patient Risks
Deploy your own risk prediction models.
Dashboards
Customize dashboards for each disease area.
Any Data
Quickly connect data - do away with complex data models.
User
Create dashboard views for multiple user types.
Connect to Workflow
Distribute results to EHRs, Tableau, Qlik, and other apps.

 

 

 

Three example algorithm suites of many available.  Contact Apervita to discuss your requirements.:

 

 
COPD

Example risk algorithms:

  • Referral 
  • Screening
  • Depression
  • Exacerbation
  • Readmission
  • Intubation
  • Death
 
Heart Failure

Example risk algorithms:

  • Hypertension
  • Other Risk Factors
  • CHF & HFpEF Risk
  • Acutely Decompensated Risk
  • Medications
  • Readmission
  • Death
 
Diabetes

Example risk algorithms:

  • T2D Risk 
  • Hypo / Hyperglycemia
  • Foot Ulcers
  • Neuropathy
  • Retinopathy
  • Readmission
  • Death

 

Enhance workflow with a broad range of use cases:

  Subject Population | Patient | Provider | Practice | Professional
 Use Case Predictive | Risk | Screening | Referrals | Interventions | Readmission | Deterioration | Care Gaps | DDI | Compliance  
   Disease COPD | AMI | CHF | Pneumonia | Hip & Knee | Hypertension | Diabetes | Behavioral | Cancer | Infection | Dementia 
  Analytic Rules | Scores | Algorithms | Protocols | Guidelines | Pathways | Measures
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