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.

HealthVision, the Intelligent Health Management System, is transforming care across health systems and value-based care organizations. HealthVision is made up of three key components:

*The Intelligent Health Record - what if you could see critical information from hundreds of EHR pages in a one-page patient chart and risk summary that serves the entire care team? HealthVision's Patient Spotlight is an easy to digest health profile and risk prediction tool. The Patient Spotlight helps clinicians make sense of the increasingly unwieldy and unmanageable health data in their EMRs in real-time.
*The Intelligent Workflow Solution - who among your patients will have an unplanned admission in the next 90 days? An ED visit in the next 30 days? The Intelligent Workflow Solution includes smart cohorts and rosters that align your scarce clinical, documentation, and administrative resources with the patients who will benefit the most. 

*The Intelligent Analytics Solution - how do your providers' mortality, hospitalizations, infection rates compare? Can your benchmarking system really match apples to apples? The Intelligent Analytics solution matches your population to others outside of your organization with the same baseline risk results. These precise comparisons are an important way to build trust and momentum among providers. 

HDAI is a high-growth, visionary company with innovative solutions that free up clinical time, enhance the provider experience, and support outcomes, efficiency, and economic improvement initiatives for health systems and value-based care organizations. 

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.

HDAI uses GPT/LLM and AI predictive models to dynamically canvas the EHR to extract, synthesize, and risk prioritize the most relevant information. HealthVision™ allows clinicians to effectively focus on care planning instead of searching the EHR. 

The EHR has changed the way we practice medicine, burdening clinicians with mountains of data and forcing them to spend their precious time in front of computers instead of with their patients. When the healthcare industry first transitioned paper records to electronic, the intention was to have all patient data accessible in one place, alleviating the healthcare system of cumbersome physical storage spaces for medical records and administrative staff to manage it. ​

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However, the EHR has overburdened clinicians with documentation tasks that were once allocated to administrative professionals ​and has clinicians combing through an inordinate amount of disparate and disorganized data to find relevant patient information. 

HealthVision is the first and only enterprise-wide, AI-powered intelligent health management system and is currently being used by Houston Methodist and other leading healthcare systems and ACOs. The platform has a broad range of capabilities which combined create a unique ability to address healthcare challenges across the care continuum (outpatient, inpatient, post-acute, etc.).

It simplifies information retrieval for clinicians, distilling hundreds of pages and notes for an individual patient in a typical electronic health record into an AI-synthesized one-page, individually configurable view that summarizes a patient’s medical history and granular risk profile. ​

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It allows a health system or risk bearing provider entity to identify and proactively manage patients at high risk of dozens of adverse events and excess utilization, including readmissions, extended length of stay and mortality. ​

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It enables sophisticated performance and network analysis. Using the nation’s largest longitudinal dataset (140 million patients, 0.5 trillion records), we have developed detailed performance profile on every physician and health care facility in the country.​

In addition to running Generative-AI and 100s of predictive models in real-time within the EHR environment, HealthVision is also designed to enable rapid deployment of local institutional models allowing agile and cost-effective real-time implementations of internally developed AI solutions.​