Idea-removebg.png

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.

2222554.png

Clinical

Preventable Admissions & Visits

Mental Health Risk Assessment

Chronic Condition Risk

Quality [HEDIS | STARS]

3140342.png

Pharmacy

Medication Adherence

Clinical Trials

Formulary Optimization

Specialty Pharmacy

1876344.png

Tailoring

Generational Modeling

Baby Boomers Rising Risk

Health Equity

Social Determinants of Health

1430402.png

Member

Risk Adjustment

Member Retention

Member Engagement

Member Satisfaction

1/2

Our Technology

Latest technologies, machine learning models, and data science

to deliver insights at a fraction of the cost of traditional methods

cloud-computing.png
machine-learning.png
analysis.png

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 

Screen Shot 2022-06-09 at 7.13.05 PM.png

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

Screen Shot 2022-06-10 at 8.34.33 PM.png

We scale ML Operations with transparency to detect model bias, , e.g. to promote

health equity across inferences and analytics

Why Equilibrium Point?

goal.png

Our Goal

  • 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.

web.png

Our Deliverables

  • Healthcare data platform that combines end-to-end ML operations and observability with goal-specific models and features.

agile.png

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

group.png

Our 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

Machine-Learning_resize_md.jpeg

"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