AEGIS HEALTH ANALYTICS 

PREDICTIVE HEALTH INDEX

AHA Predictive Health IndexTM is predictive scoring of health risk of populations, sub-populations and individuals encompassing clinical, genetic and social determinants of health variables.

 

Aegis Health Analytics IndexTM

 

 

The Aegis Health Analytics IndexTM dynamically determines the top demographics, medical care/quality and behavioral factors behind incidences and progression of major diseases and medical conditions across social determinants of health.

 

 

Aegis Health Analytics identifies risk factors that are particularly relevant for a specific patient receiving care by a specific provider and care team, making the insights immediately more actionable.

 

Understanding the health risk of at a population, sub-population and individual level empowers the communities, policy makers and government to improve the dynamics between epigenetics, genetics, research and healthcare delivery systems.

 

The Aegis Health Analytics IndexTM is also used for developing policy, new payment and service delivery models, social services integration, and connecting individuals with the best health coverage.

 

Outside of healthcare, clients trust Aegis Health Analytics as an input to investments based on forecasted needs and economic impact for a region. The result will be a new era of healthy design that incorporates housing, transportation, lifestyle, innovation and business.

Key Features

  • Dynamically determine in a statistically-valid way the top demographics, medical care/quality and behavioral factors behind incidences and progression of major diseases and medical conditions.

 

  • Hyper-local analytics to enable patient-level intervention

 

  • Hard, quantified indices to enable monitoring changes and improvement in risk factors

Factors that put a person most at risk for initially developing a medical condition and then later potentially developing complications and even succumbing to it are best determined in the context of a particular morbidity, geography, and demographics.

 

While genetics and specific prior medical conditions no doubt play a big role, we focus on identifying those risk factors that are more related to the person’s environment, demographics, and care quality the person received in the early phase of the medical condition.

 

We identify risk factors that are particular relevant for a specific patient receiving care in a specific clinic or hospital, making the insights immediately more actionable.