Integrating seamlessly into your EHR, Choreo-ED leverages real-time patient data to anticipate an admission, helping care teams take action hours in advance. Choreo-ED is built around a robust deep- learning model that evaluates patient data from the moment an ED encounter begins. The model provides a real-time Anticipated Decision to Admit (ADTA) score within your EHR as soon as new encounter data arrives, providing valuable insights while fitting naturally into your existing workflow. Once the ADTA score exceeds a designated threshold, Choreo-ED alerts hospital staff, allowing them to proactively initiate critical steps of the admission process.

X by 2 is a technology consulting firm specialized in healthcare and insurance. A trusted technology advisor and implementation partner for over 25 years, we deliver high-impact initiatives from start to finish. 

Our healthcare technology services and solutions help payers, providers, solution providers and healthcare startups optimize, modernize and innovate. Our insurance technology consulting experts help property and casualty, life and annuity and Insurtech organizations meet the changing needs of agents and policyholders. 

We offer end-to-end technology consulting, designed to exceed expectations.

• Technology Strategy & Architecture
• System Modernization
• Data Analytics
• Digital Experience Strategy & Design
• Artificial Intelligence

Visit xby2.com to learn more.

Brim Analytics is driving to the next cure, faster with a democratized AI-guided chart abstraction system. Chart abstraction is the process of converting unstructured clinical notes into structured data, an essential task across healthcare, including clinical trial matching, academic research, registries for cancer and heart disease, and many more. Brim is an AI-guided tool for chart abstraction that prioritizes privacy and security, creates traceability of data, and is dramatically faster than human curators alone.

Faster, smarter chart abstraction to streamline clinical workflows, pre-screen clinical trials, accelerate retrospective research, and more.

Brim enables fast and flexible abstraction of structured data from unstructured notes.

• Fast Abstraction. AI-guided generation saves 80% of the time relative to manual abstraction with comparable accuracy.
• Scalable. Abstract data at scale, rather than note-by-note.
• Flexible. Easily iterate on the fields you derive as you learn or your process evolves.
• EHR-agnostic. Import and export via a standard format.

• Privacy and Security first. Brim is fully secure, and we do not train on your data. You can implement in your institution's cloud environment, or in a single-tenant deployment. Leverage your institution's LLM endpoint. Brim supports Open AI, Azure Open AI, Bedrock, and other LLMs to get the newest foundational models without adding another vendor.
• Built for researchers and abstractors. Purpose-built interface for abstraction helps humans move faster and improves the accuracy of abstracted data.
• Domain flexibility. Brim has been used for projects in cancer research, clinical trials, orthopedic injuries, and many more. Brim optimizes variables for your project based on your feedback, improving abstraction in real time.