Healthcare Machine Learning and Analytics
We bring your vision to life
Equilibrium Point brings deep healthcare expertise, E2E execution, development speed, and transparency to transform your business
Sectors of Expertise
A team of proven leaders in the research, development and deployment of innovative technology that redefines business, challenges legacy business models and enhances the way healthcare organizations interact with technology.
Preventable Admissions & Visits
Mental Health Risk Assessment
Chronic Condition Risk
Quality [HEDIS | STARS]
Baby Boomers Rising Risk
Social Determinants of Health
Latest technologies, machine learning models, and data science
to deliver insights at a fraction of the cost of traditional methods
Data operations and big data analytics capabilities, to support risk stratification, predictive analytics and deep learning
Scalable Machine Learning operations and models to provide insights that drive new levels of organizational performance
Proven results – more accurate ML models, developed faster at dramatically lower cost
Our ML Platform
Building our ML Platform involves well-defined and standard processes and technologies
Not Rocket Science - 70% Standardization + 30% Customization
Our standard ML platform is customized and deployed on your cloud service
Scaling Machine Learning with automation, to make observable and explainable predictions
Operations & Observability
We scale ML Operations with transparency to detect model bias, , e.g. to promote
health equity across inferences and analytics
Why Equilibrium Point?
Understand and extract meaningful information from disparate healthcare data, with advanced analytics and machine learning capabilities.
Recognize emerging trends, identify risk, make predictions, and take actions that improve outcomes. And do it all faster.
Healthcare data platform that combines end-to-end ML operations and observability with goal-specific models and features.
Rapid Discovery to Deployment
Phase 0 | 30 days | Discovery & Diagnostic
Phase 1 | 60 days | Build ML Ops & Production System
Phase 2 | 90 days: | Interoperability and Observability
Phase 3 | Optional | Ongoing support services
Professional Services on Demand
Flat fees – predictable cost outlay
Simple contracting with Proposal Work Orders
No PMPM/PMPY fee structure or long-term commitment
"BY AUGMENTING HUMAN PERFORMANCE, MACHINE LEARNING HAS THE POTENTIAL TO MARKEDLY IMPROVE PRODUCTIVITY, EFFICIENCY, WORKFLOW, ACCURACY AND SPEED IN HEALTHCARE"
- Eric Topol, MD - Director & Founder of Scripps Research Translational Institute