PredictaChart by Predicta Med is an innovative medical record summary tool designed to enhance clinical efficiency and decision-making. This AI-powered solution leverages natural language processing (NLP) to extract and prioritize key information from vast volumes of clinical notes, ensuring that physicians focus on the most relevant data.

Key Features and Benefits:

Content Prioritization for Efficiency

PredictaChart creates a concise, specialty-specific view of a patient's clinical information, tailored to their conditions. This prioritization reduces the time required for chart reviews and allows physicians to concentrate on critical issues.

AI-Driven Insights

Using advanced NLP, the tool identifies vital information often buried within extensive records from multiple providers, making patient health data more accessible and actionable.

Improved Clinical Decision-Making

By highlighting urgent or relevant issues, PredictaChart supports faster, patient-specific decision-making. It empowers clinicians with better insights to address the unique needs of each patient.

Enhanced Patient Care

The tool accelerates diagnosis and treatment by streamlining access to vital information. Automated checks for inconsistencies or missing data reduce the risk of errors, contributing to more precise and effective care.

PredictaChart transforms how specialists interact with medical records, helping them save time, improve accuracy, and deliver optimal patient outcomes.

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.

The tool streamlines clinical decision-making, significantly reducing the time spent on patient chart reviews

Established partnerships with global experts specialists.  

Domain expertise in specialty diseases and specialty care.

Trained & validated on proprietary specialty care specific large data sets.

Seamless EMR 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.