Cerebrum– Our Smart Data and Analytics Engine

• Cerebrum is a reactive intelligent data transformation engine
• Merges the patient data model with external data for actionable decision support
• Provides real-time analysis and machine learning of a patient chart to deliver clinical insights to the provider
• Identify potential interventions
• Patient clustering based on condition configuration

Phix Health is a value-based technology and clinical services partnership that specializes in serving clients that are health risk holders:

• Providers responsible for 30-day readmission rules
• Accountable Care Organizations
• Seriously Ill Patients (Nursing Homes/Assisted Living)
• Payers
• Health Systems / Hospital at Home

EarlySign’s COVID Complications AlgoMarker Identifies individuals at increased risk for having COVID-19 complications. With the goal of prioritizing patients for COVID-19 testing and treatment, this new AlgoMarker aids in triaging patients by reducing chart review time to determine whether they are potentially at high risk for hospitalization, complications, and mortality.

Medial EarlySign develops an AI algorithmic platform for the discovery of clinical insights that indicate the likelihood of disease from basic medical information, such as blood test results, and other EMR data. Called AlgoMarkers, its predictive engines are built in collaboration with healthcare organizations, through the combination of 10s of millions of patient years-worth of data, clinical rigor and some of the most brilliant algorithmic minds. The company develops clinical decision support and population health solutions that can assist in the early prediction of clinical outcomes related to cancers, metabolic, immune and infectious diseases. These tools are designed to place at the fingertips of healthcare organizations only those insights that could prove critical in disease management and prevention empowering them with proactive, predictive and personalized care management capabilities

• Cerebrum engine combines native machine learning capability and complex rulesets to enable reduction of risks in hospitalizations, disease progression and more
• Incorporates Johns Hopkins ACG population health toolkit
• Population centric view allows provider teams to quickly drill down to patients requiring attention and follow up