Chronic Disease AI

Data-driven prediction and knowledge

Enhancing performance of the classification process through artificial intelligence, reducing human error and saving lives.
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Our technology evolves daily

Prediction analysis increases the likelihood of early disease detection, saving lives and decreasing costs.
AI & ML help healthcare providers and organizations navigate the complexities of chronic disease management
Data + AI just in time = early detection of various chronic diseases reduces economic costs and enhance budget forecasts
Predictive models applied in the diagnosis and forecasting of these diseases

Understanding the healthcare landscape

With rapid development in artificial intelligence, the healthcare ecosystem benefits.

A.I. and Machine Learning allow us to understand the deeper causes and affects of chronic disease.

Medical Centers

AI will make smart hospitals part of the care team and will ensure improved and fast Clinical Decision Making.

Shift focus to the conversation between the doctor and patient by eliminating barriers during interaction and integrating data-driven models.

Early warning system for chronic disease outbreak.Real-time inventory requirements and tracking.

Predictive models

Predictive analysis offers tools to support decision making of policymakers, physicians and measures relative risks, rates, odds or hazards.

Predictive models applied in the diagnosis and forecasting of these diseases.

Pay-Per Performance modeling through Smart Contracts and Automations

Big data analysis using AI/ML models
Better prediction events
Ensure data patterns
Enhance sales targets
Healthcare Ecosystem Foundations
Big data analysis using AI/ML models
Better prediction events
Ensure data patterns
Enhance sales targets
Healthcare Ecosystem Foundations

Predict events, forecast demand and budget

Efficient patient recruitment process
Better matching eligibility criteria through Smart Contract
Monitor progress and predict outcome
Efficient sponsorship investment
Knowledge sharing and management
Efficient patient recruitment process
Better matching eligibility criteria through Smart Contract
Monitor progress and predict outcome
Efficient sponsorship investment
Knowledge sharing and management

Superior information flow through the Blockchain

Deploy blockchain through financial and operational audit process
Automatize process
Enhance accuracy and supervision
Privacy, control and secure access to data
Improve operational efficiency and payments
Navigating the Ecosystem
Deploy blockchain through financial and operational audit process
Automatize process
Enhance accuracy and supervision
Privacy, control and secure access to data
Improve operational efficiency and payments
Navigating the Ecosystem

Technologies
behind Chronic Diseases AI

Blockchain data security

Shared Distributed Ledger Technology (DLT), an immutable ledger for tracking assets, recording business transactions, and ensuring transparency and trust.

ML-powered data analysis

Machine Learning (ML) empowers systems to automatically learn and improve from real time experience, without being explicitly programmed.

Case Studies

Risk scoring for chronic diseases (e.g. Severe Asthma)

Prediction and prevention are vital in health management. Early identification of individuals with high risk of developing a chronic condition prevents long-term health complications and increased  financial burdens.

Risk scoring for chronic diseases (e.g. Severe Asthma)

Prediction and prevention go hand-in-hand  nowhere more closely than in health management. Early identification of individuals with high risks of developing chronic conditions   in the disease’s progression prevents long-term health problems, resulting increased costs burden and treatment complications.

Drug/Med Device shortage and supply management

Drug Supply and management is one of the largest cost centers, and represents the priority number one opportunity for healthcare organizations to decrease spending and improve efficiency.
The continuing, unprecedented shortage of pharmaceuticals has reached a crisis peak and threatens the ability of patients and physicians to access to critical therapies.
Smart predictive tools are in high demand among executives looking to reduce variation and gain more actionable insights into ordering and supply patterns. Both descriptive and predictive tools can enhance decisions to negotiate better pricing, reduce the fluctuation in supplies, and optimizing the ordering process.

“Using analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year - Navigant survey”

Drug/Med Device shortage and supply management

Drug supply and medical device management are one of the biggest cost centers and represent  a major opportunity for healthcare organizations to decrease spending and improve efficiency. The continuing, unprecedented shortage of pharmaceuticals has reached a crisis peak and threatens the ability of patients and physicians to access critical therapies. Smart predictive tools are in high demand among executives looking to reduce variation and gain more actionable insights into ordering and supply patterns. Both descriptive and predictive tools can enhance decisions to negotiate better pricing, reduce fluctuation in supplies and optimize the ordering process.

Using analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year - Navigant survey"

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Let’s build the healthcare ecosystem together

Partner with Us