Predicta Med’s data-driven insights platform, PredictAITM, aims to improve the quality of care for patients with immune-related conditions and reduce healthcare costs by assisting health professionals to identify these diseases in advance of current standards. The EMR-integrated solution can assist providers in identifying individuals with undiagnosed immune-related conditions and enabling targeted interventions earlier in the course of the disease to help mitigate disease-related deterioration and complications.

To date, the models have been trained and validated on more than 7M electronic medical

patient records and 1.7M claims records

Predicta Med is transforming the care of autoimmune diseases by offering an EMR-integrated platform that accelerates diagnosis and intervention. The platform includes three core modules:

• PredictaAI: The first AI-driven solution designed for early detection and tailored intervention of autoimmune diseases, enhancing diagnostic accuracy and speed.
• PredictaChart: The tool streamlines clinical decision-making, significantly reducing the time spent on patient chart reviews.
• PredictaMatch: A patient eligibility assessment tool, seamlessly embedded in EMRs, providing healthcare providers with relevant treatment options based on a patient’s disease profile.

Together, these modules enable faster, more accurate care decisions, improving outcomes for patients with autoimmune diseases

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.

Predictive diagnostics using AI - Using patient data to anticipate immune-related potential health risks and improve patient care.

Effective intervention- Eenabling targeted interventions earlier in the course of the disease to help mitigate disease-related deterioration and complications.

Trained & validated on proprietary, large data sets

Domain expertise in immune-related diseases and specialty care 

Established partnerships with global experts providers

Seamless EMR workflow integration  

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.