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.
Clinical
Preventable Admissions & Visits
Mental Health Risk Assessment
Chronic Condition Risk
Quality [HEDIS | STARS]
Pharmacy
Medication Adherence
Clinical Trials
Formulary Optimization
Specialty Pharmacy
Tailoring
Generational Modeling
Baby Boomers Rising Risk
Health Equity
Social Determinants of Health
Member
Risk Adjustment
Member Retention
Member Engagement
Member Satisfaction
Our Technology
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 ML 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
43%
Data Quality
21%
Accuracy
23%
Operational Cost
32%
Team Productivity
30%
Delivery Time
Why Equilibrium Point?
Our Goal
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Understand and extract meaningful information from disparate healthcare data, with advanced analytics and machine learning capabilities.
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Recognize emerging trends, identify risk, make predictions, and take actions that improve outcomes. And do it all faster.
Our Deliverables
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Healthcare data platform that combines end-to-end ML operations and observability with goal-specific models and features.
Our Methodology
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
Our Services
Professional Services on Demand
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Flat fees – predictable cost outlay
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Simple contracting with Proposal Work Orders
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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